<?xml version="1.0" encoding="utf-8" ?>
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">
<head>
    <meta charset="UTF-8">
    <title></title>
    <style type="text/css">
        /* Hide data table */
.csvdata {
    display: none;
}

body {
    font-family: helvetica;
}

.text-warning {
    font-weight: bold;
    color: red;
}
/*Primary Chart*/

/*Nested divs for responsiveness*/
.chart-wrapper {
    max-width: 800px;  /*Overwritten by the JS*/
    min-width: 160px;
    margin-bottom: 20px;
    font-family: helvetica;
}
.chart-wrapper .inner-wrapper {
    position: relative;
    padding-bottom: 50%; /*Overwritten by the JS*/
    width: 100%;
}
.chart-wrapper .outer-box {
    position: absolute;
    top: 0;
    bottom: 0;
    left: 0;
    right: 0;
}
.chart-wrapper .inner-box {
    width: 100%;
    height: 100%;
}

.chart-wrapper text {
  font-family: helvetica;
  font-size: 13px;
}

.chart-wrapper .axis path,
.chart-wrapper .axis line {
    fill: none;
    stroke: #888;
    stroke-width: 2px;
    shape-rendering: crispEdges;
}

.chart-wrapper .y.axis .tick line {
    stroke: lightgrey;
    opacity: 0.6;
    stroke-dasharray: 2,1;
    stroke-width: 1;
    shape-rendering: crispEdges;

}

.chart-wrapper .x.axis .domain {
  display: none;
}

.chart-wrapper div.tooltip {
    position: absolute;
    text-align: left;
    padding: 3px;
    font-size: 12px;
    background: #eee;
    border: 0px;
    border-radius: 1px;
    pointer-events: none;
    opacity: .7;
    z-index: 10;
}

/*Box Plot*/
.chart-wrapper .box-plot .box {
    fill-opacity: .5;
    stroke-width: 2;
}
.chart-wrapper .box-plot line {
    stroke-width: 2px;
}
.chart-wrapper .box-plot circle {
    fill: white;
    stroke: black;
}

.chart-wrapper .box-plot .median {
    stroke: black;
}

.chart-wrapper .box-plot circle.median {
    /*the script makes the circles the same color as the box, you can override this in the js*/
    fill: white !important;
}

.chart-wrapper .box-plot .mean {
    stroke: white;
    stroke-dasharray: 2,1;
    stroke-width: 1px;
}

@media (max-width:500px){
    .chart-wrapper .box-plot circle {display: none;}
}

/*Violin Plot*/

.chart-wrapper .violin-plot .area {
    shape-rendering: geometricPrecision;
    opacity: 0.4;
}

.chart-wrapper .violin-plot .line {
    fill: none;
    stroke-width: 2px;
    shape-rendering: geometricPrecision;
}

/*Notch Plot*/
.chart-wrapper .notch-plot .notch {
    fill-opacity: 0.4;
    stroke-width: 2;
}

/* Point Plots*/
.chart-wrapper .points-plot .point {
    /*stroke: black;
    stroke-width: 1px;*/
    fill-opacity: 0.4;
}

.chart-wrapper .metrics-lines {
    stroke-width: 4px;
}

/* Non-Chart Styles for demo*/
.chart-options  {
    min-width: 200px;
    font-size: 13px;
    font-family: helvetica;
}
.chart-options button {
    margin: 3px;
    padding: 3px;
    font-size: 12px;
}
.chart-options p {
    display: inline;
}
@media (max-width:500px){
    .chart-options p {display: block;}
}
    </style>
    <script type="text/javascript">
        !function(){function n(n){return n&&(n.ownerDocument||n.document||n).documentElement}function t(n){return n&&(n.ownerDocument&&n.ownerDocument.defaultView||n.document&&n||n.defaultView)}function e(n,t){return t>n?-1:n>t?1:n>=t?0:NaN}function r(n){return null===n?NaN:+n}function i(n){return!isNaN(n)}function u(n){return{left:function(t,e,r,i){for(arguments.length<3&&(r=0),arguments.length<4&&(i=t.length);i>r;){var u=r+i>>>1;n(t[u],e)<0?r=u+1:i=u}return r},right:function(t,e,r,i){for(arguments.length<3&&(r=0),arguments.length<4&&(i=t.length);i>r;){var u=r+i>>>1;n(t[u],e)>0?i=u:r=u+1}return r}}}function o(n){return n.length}function a(n){for(var t=1;n*t%1;)t*=10;return t}function l(n,t){for(var e in t)Object.defineProperty(n.prototype,e,{value:t[e],enumerable:!1})}function c(){this._=Object.create(null)}function f(n){return(n+="")===bo||n[0]===_o?_o+n:n}function s(n){return(n+="")[0]===_o?n.slice(1):n}function h(n){return f(n)in this._}function p(n){return(n=f(n))in this._&&delete this._[n]}function g(){var n=[];for(var t in this._)n.push(s(t));return n}function v(){var n=0;for(var t in this._)++n;return n}function d(){for(var n in this._)return!1;return!0}function y(){this._=Object.create(null)}function m(n){return n}function M(n,t,e){return function(){var r=e.apply(t,arguments);return r===t?n:r}}function x(n,t){if(t in n)return t;t=t.charAt(0).toUpperCase()+t.slice(1);for(var e=0,r=wo.length;r>e;++e){var i=wo[e]+t;if(i in n)return i}}function b(){}function _(){}function w(n){function t(){for(var t,r=e,i=-1,u=r.length;++i<u;)(t=r[i].on)&&t.apply(this,arguments);return n}var e=[],r=new c;return t.on=function(t,i){var u,o=r.get(t);return arguments.length<2?o&&o.on:(o&&(o.on=null,e=e.slice(0,u=e.indexOf(o)).concat(e.slice(u+1)),r.remove(t)),i&&e.push(r.set(t,{on:i})),n)},t}function S(){ao.event.preventDefault()}function k(){for(var n,t=ao.event;n=t.sourceEvent;)t=n;return t}function N(n){for(var t=new _,e=0,r=arguments.length;++e<r;)t[arguments[e]]=w(t);return t.of=function(e,r){return function(i){try{var u=i.sourceEvent=ao.event;i.target=n,ao.event=i,t[i.type].apply(e,r)}finally{ao.event=u}}},t}function E(n){return ko(n,Co),n}function A(n){return"function"==typeof n?n:function(){return No(n,this)}}function C(n){return"function"==typeof n?n:function(){return Eo(n,this)}}function z(n,t){function e(){this.removeAttribute(n)}function r(){this.removeAttributeNS(n.space,n.local)}function i(){this.setAttribute(n,t)}function u(){this.setAttributeNS(n.space,n.local,t)}function o(){var e=t.apply(this,arguments);null==e?this.removeAttribute(n):this.setAttribute(n,e)}function a(){var e=t.apply(this,arguments);null==e?this.removeAttributeNS(n.space,n.local):this.setAttributeNS(n.space,n.local,e)}return n=ao.ns.qualify(n),null==t?n.local?r:e:"function"==typeof t?n.local?a:o:n.local?u:i}function L(n){return n.trim().replace(/\s+/g," ")}function q(n){return new RegExp("(?:^|\\s+)"+ao.requote(n)+"(?:\\s+|$)","g")}function T(n){return(n+"").trim().split(/^|\s+/)}function R(n,t){function e(){for(var e=-1;++e<i;)n[e](this,t)}function r(){for(var e=-1,r=t.apply(this,arguments);++e<i;)n[e](this,r)}n=T(n).map(D);var i=n.length;return"function"==typeof t?r:e}function D(n){var t=q(n);return function(e,r){if(i=e.classList)return r?i.add(n):i.remove(n);var i=e.getAttribute("class")||"";r?(t.lastIndex=0,t.test(i)||e.setAttribute("class",L(i+" "+n))):e.setAttribute("class",L(i.replace(t," ")))}}function P(n,t,e){function r(){this.style.removeProperty(n)}function i(){this.style.setProperty(n,t,e)}function u(){var r=t.apply(this,arguments);null==r?this.style.removeProperty(n):this.style.setProperty(n,r,e)}return null==t?r:"function"==typeof t?u:i}function U(n,t){function e(){delete this[n]}function r(){this[n]=t}function i(){var e=t.apply(this,arguments);null==e?delete this[n]:this[n]=e}return null==t?e:"function"==typeof t?i:r}function j(n){function t(){var t=this.ownerDocument,e=this.namespaceURI;return e===zo&&t.documentElement.namespaceURI===zo?t.createElement(n):t.createElementNS(e,n)}function e(){return this.ownerDocument.createElementNS(n.space,n.local)}return"function"==typeof n?n:(n=ao.ns.qualify(n)).local?e:t}function F(){var n=this.parentNode;n&&n.removeChild(this)}function H(n){return{__data__:n}}function O(n){return function(){return Ao(this,n)}}function I(n){return arguments.length||(n=e),function(t,e){return t&&e?n(t.__data__,e.__data__):!t-!e}}function Y(n,t){for(var e=0,r=n.length;r>e;e++)for(var i,u=n[e],o=0,a=u.length;a>o;o++)(i=u[o])&&t(i,o,e);return n}function Z(n){return ko(n,qo),n}function V(n){var t,e;return function(r,i,u){var o,a=n[u].update,l=a.length;for(u!=e&&(e=u,t=0),i>=t&&(t=i+1);!(o=a[t])&&++t<l;);return o}}function X(n,t,e){function r(){var t=this[o];t&&(this.removeEventListener(n,t,t.$),delete this[o])}function i(){var i=l(t,co(arguments));r.call(this),this.addEventListener(n,this[o]=i,i.$=e),i._=t}function u(){var t,e=new RegExp("^__on([^.]+)"+ao.requote(n)+"$");for(var r in this)if(t=r.match(e)){var i=this[r];this.removeEventListener(t[1],i,i.$),delete this[r]}}var o="__on"+n,a=n.indexOf("."),l=$;a>0&&(n=n.slice(0,a));var c=To.get(n);return c&&(n=c,l=B),a?t?i:r:t?b:u}function $(n,t){return function(e){var r=ao.event;ao.event=e,t[0]=this.__data__;try{n.apply(this,t)}finally{ao.event=r}}}function B(n,t){var e=$(n,t);return function(n){var t=this,r=n.relatedTarget;r&&(r===t||8&r.compareDocumentPosition(t))||e.call(t,n)}}function W(e){var r=".dragsuppress-"+ ++Do,i="click"+r,u=ao.select(t(e)).on("touchmove"+r,S).on("dragstart"+r,S).on("selectstart"+r,S);if(null==Ro&&(Ro="onselectstart"in e?!1:x(e.style,"userSelect")),Ro){var o=n(e).style,a=o[Ro];o[Ro]="none"}return function(n){if(u.on(r,null),Ro&&(o[Ro]=a),n){var t=function(){u.on(i,null)};u.on(i,function(){S(),t()},!0),setTimeout(t,0)}}}function J(n,e){e.changedTouches&&(e=e.changedTouches[0]);var r=n.ownerSVGElement||n;if(r.createSVGPoint){var i=r.createSVGPoint();if(0>Po){var u=t(n);if(u.scrollX||u.scrollY){r=ao.select("body").append("svg").style({position:"absolute",top:0,left:0,margin:0,padding:0,border:"none"},"important");var o=r[0][0].getScreenCTM();Po=!(o.f||o.e),r.remove()}}return Po?(i.x=e.pageX,i.y=e.pageY):(i.x=e.clientX,i.y=e.clientY),i=i.matrixTransform(n.getScreenCTM().inverse()),[i.x,i.y]}var a=n.getBoundingClientRect();return[e.clientX-a.left-n.clientLeft,e.clientY-a.top-n.clientTop]}function G(){return ao.event.changedTouches[0].identifier}function K(n){return n>0?1:0>n?-1:0}function Q(n,t,e){return(t[0]-n[0])*(e[1]-n[1])-(t[1]-n[1])*(e[0]-n[0])}function nn(n){return n>1?0:-1>n?Fo:Math.acos(n)}function tn(n){return n>1?Io:-1>n?-Io:Math.asin(n)}function en(n){return((n=Math.exp(n))-1/n)/2}function rn(n){return((n=Math.exp(n))+1/n)/2}function un(n){return((n=Math.exp(2*n))-1)/(n+1)}function on(n){return(n=Math.sin(n/2))*n}function an(){}function ln(n,t,e){return this instanceof ln?(this.h=+n,this.s=+t,void(this.l=+e)):arguments.length<2?n instanceof ln?new ln(n.h,n.s,n.l):_n(""+n,wn,ln):new ln(n,t,e)}function cn(n,t,e){function r(n){return n>360?n-=360:0>n&&(n+=360),60>n?u+(o-u)*n/60:180>n?o:240>n?u+(o-u)*(240-n)/60:u}function i(n){return Math.round(255*r(n))}var u,o;return n=isNaN(n)?0:(n%=360)<0?n+360:n,t=isNaN(t)?0:0>t?0:t>1?1:t,e=0>e?0:e>1?1:e,o=.5>=e?e*(1+t):e+t-e*t,u=2*e-o,new mn(i(n+120),i(n),i(n-120))}function fn(n,t,e){return this instanceof fn?(this.h=+n,this.c=+t,void(this.l=+e)):arguments.length<2?n instanceof fn?new fn(n.h,n.c,n.l):n instanceof hn?gn(n.l,n.a,n.b):gn((n=Sn((n=ao.rgb(n)).r,n.g,n.b)).l,n.a,n.b):new fn(n,t,e)}function sn(n,t,e){return isNaN(n)&&(n=0),isNaN(t)&&(t=0),new hn(e,Math.cos(n*=Yo)*t,Math.sin(n)*t)}function hn(n,t,e){return this instanceof hn?(this.l=+n,this.a=+t,void(this.b=+e)):arguments.length<2?n instanceof hn?new hn(n.l,n.a,n.b):n instanceof fn?sn(n.h,n.c,n.l):Sn((n=mn(n)).r,n.g,n.b):new hn(n,t,e)}function pn(n,t,e){var r=(n+16)/116,i=r+t/500,u=r-e/200;return i=vn(i)*na,r=vn(r)*ta,u=vn(u)*ea,new mn(yn(3.2404542*i-1.5371385*r-.4985314*u),yn(-.969266*i+1.8760108*r+.041556*u),yn(.0556434*i-.2040259*r+1.0572252*u))}function gn(n,t,e){return n>0?new fn(Math.atan2(e,t)*Zo,Math.sqrt(t*t+e*e),n):new fn(NaN,NaN,n)}function vn(n){return n>.206893034?n*n*n:(n-4/29)/7.787037}function dn(n){return n>.008856?Math.pow(n,1/3):7.787037*n+4/29}function yn(n){return Math.round(255*(.00304>=n?12.92*n:1.055*Math.pow(n,1/2.4)-.055))}function mn(n,t,e){return this instanceof mn?(this.r=~~n,this.g=~~t,void(this.b=~~e)):arguments.length<2?n instanceof mn?new mn(n.r,n.g,n.b):_n(""+n,mn,cn):new mn(n,t,e)}function Mn(n){return new mn(n>>16,n>>8&255,255&n)}function xn(n){return Mn(n)+""}function bn(n){return 16>n?"0"+Math.max(0,n).toString(16):Math.min(255,n).toString(16)}function _n(n,t,e){var r,i,u,o=0,a=0,l=0;if(r=/([a-z]+)\((.*)\)/.exec(n=n.toLowerCase()))switch(i=r[2].split(","),r[1]){case"hsl":return e(parseFloat(i[0]),parseFloat(i[1])/100,parseFloat(i[2])/100);case"rgb":return t(Nn(i[0]),Nn(i[1]),Nn(i[2]))}return(u=ua.get(n))?t(u.r,u.g,u.b):(null==n||"#"!==n.charAt(0)||isNaN(u=parseInt(n.slice(1),16))||(4===n.length?(o=(3840&u)>>4,o=o>>4|o,a=240&u,a=a>>4|a,l=15&u,l=l<<4|l):7===n.length&&(o=(16711680&u)>>16,a=(65280&u)>>8,l=255&u)),t(o,a,l))}function wn(n,t,e){var r,i,u=Math.min(n/=255,t/=255,e/=255),o=Math.max(n,t,e),a=o-u,l=(o+u)/2;return a?(i=.5>l?a/(o+u):a/(2-o-u),r=n==o?(t-e)/a+(e>t?6:0):t==o?(e-n)/a+2:(n-t)/a+4,r*=60):(r=NaN,i=l>0&&1>l?0:r),new ln(r,i,l)}function Sn(n,t,e){n=kn(n),t=kn(t),e=kn(e);var r=dn((.4124564*n+.3575761*t+.1804375*e)/na),i=dn((.2126729*n+.7151522*t+.072175*e)/ta),u=dn((.0193339*n+.119192*t+.9503041*e)/ea);return hn(116*i-16,500*(r-i),200*(i-u))}function kn(n){return(n/=255)<=.04045?n/12.92:Math.pow((n+.055)/1.055,2.4)}function Nn(n){var t=parseFloat(n);return"%"===n.charAt(n.length-1)?Math.round(2.55*t):t}function En(n){return"function"==typeof n?n:function(){return n}}function An(n){return function(t,e,r){return 2===arguments.length&&"function"==typeof e&&(r=e,e=null),Cn(t,e,n,r)}}function Cn(n,t,e,r){function i(){var n,t=l.status;if(!t&&Ln(l)||t>=200&&300>t||304===t){try{n=e.call(u,l)}catch(r){return void o.error.call(u,r)}o.load.call(u,n)}else o.error.call(u,l)}var u={},o=ao.dispatch("beforesend","progress","load","error"),a={},l=new XMLHttpRequest,c=null;return!this.XDomainRequest||"withCredentials"in l||!/^(http(s)?:)?\/\//.test(n)||(l=new XDomainRequest),"onload"in l?l.onload=l.onerror=i:l.onreadystatechange=function(){l.readyState>3&&i()},l.onprogress=function(n){var t=ao.event;ao.event=n;try{o.progress.call(u,l)}finally{ao.event=t}},u.header=function(n,t){return n=(n+"").toLowerCase(),arguments.length<2?a[n]:(null==t?delete a[n]:a[n]=t+"",u)},u.mimeType=function(n){return arguments.length?(t=null==n?null:n+"",u):t},u.responseType=function(n){return arguments.length?(c=n,u):c},u.response=function(n){return e=n,u},["get","post"].forEach(function(n){u[n]=function(){return u.send.apply(u,[n].concat(co(arguments)))}}),u.send=function(e,r,i){if(2===arguments.length&&"function"==typeof r&&(i=r,r=null),l.open(e,n,!0),null==t||"accept"in a||(a.accept=t+",*/*"),l.setRequestHeader)for(var f in a)l.setRequestHeader(f,a[f]);return null!=t&&l.overrideMimeType&&l.overrideMimeType(t),null!=c&&(l.responseType=c),null!=i&&u.on("error",i).on("load",function(n){i(null,n)}),o.beforesend.call(u,l),l.send(null==r?null:r),u},u.abort=function(){return l.abort(),u},ao.rebind(u,o,"on"),null==r?u:u.get(zn(r))}function zn(n){return 1===n.length?function(t,e){n(null==t?e:null)}:n}function Ln(n){var t=n.responseType;return t&&"text"!==t?n.response:n.responseText}function qn(n,t,e){var r=arguments.length;2>r&&(t=0),3>r&&(e=Date.now());var i=e+t,u={c:n,t:i,n:null};return aa?aa.n=u:oa=u,aa=u,la||(ca=clearTimeout(ca),la=1,fa(Tn)),u}function Tn(){var n=Rn(),t=Dn()-n;t>24?(isFinite(t)&&(clearTimeout(ca),ca=setTimeout(Tn,t)),la=0):(la=1,fa(Tn))}function Rn(){for(var n=Date.now(),t=oa;t;)n>=t.t&&t.c(n-t.t)&&(t.c=null),t=t.n;return n}function Dn(){for(var n,t=oa,e=1/0;t;)t.c?(t.t<e&&(e=t.t),t=(n=t).n):t=n?n.n=t.n:oa=t.n;return aa=n,e}function Pn(n,t){return t-(n?Math.ceil(Math.log(n)/Math.LN10):1)}function Un(n,t){var e=Math.pow(10,3*xo(8-t));return{scale:t>8?function(n){return n/e}:function(n){return n*e},symbol:n}}function jn(n){var t=n.decimal,e=n.thousands,r=n.grouping,i=n.currency,u=r&&e?function(n,t){for(var i=n.length,u=[],o=0,a=r[0],l=0;i>0&&a>0&&(l+a+1>t&&(a=Math.max(1,t-l)),u.push(n.substring(i-=a,i+a)),!((l+=a+1)>t));)a=r[o=(o+1)%r.length];return u.reverse().join(e)}:m;return function(n){var e=ha.exec(n),r=e[1]||" ",o=e[2]||">",a=e[3]||"-",l=e[4]||"",c=e[5],f=+e[6],s=e[7],h=e[8],p=e[9],g=1,v="",d="",y=!1,m=!0;switch(h&&(h=+h.substring(1)),(c||"0"===r&&"="===o)&&(c=r="0",o="="),p){case"n":s=!0,p="g";break;case"%":g=100,d="%",p="f";break;case"p":g=100,d="%",p="r";break;case"b":case"o":case"x":case"X":"#"===l&&(v="0"+p.toLowerCase());case"c":m=!1;case"d":y=!0,h=0;break;case"s":g=-1,p="r"}"$"===l&&(v=i[0],d=i[1]),"r"!=p||h||(p="g"),null!=h&&("g"==p?h=Math.max(1,Math.min(21,h)):"e"!=p&&"f"!=p||(h=Math.max(0,Math.min(20,h)))),p=pa.get(p)||Fn;var M=c&&s;return function(n){var e=d;if(y&&n%1)return"";var i=0>n||0===n&&0>1/n?(n=-n,"-"):"-"===a?"":a;if(0>g){var l=ao.formatPrefix(n,h);n=l.scale(n),e=l.symbol+d}else n*=g;n=p(n,h);var x,b,_=n.lastIndexOf(".");if(0>_){var w=m?n.lastIndexOf("e"):-1;0>w?(x=n,b=""):(x=n.substring(0,w),b=n.substring(w))}else x=n.substring(0,_),b=t+n.substring(_+1);!c&&s&&(x=u(x,1/0));var S=v.length+x.length+b.length+(M?0:i.length),k=f>S?new Array(S=f-S+1).join(r):"";return M&&(x=u(k+x,k.length?f-b.length:1/0)),i+=v,n=x+b,("<"===o?i+n+k:">"===o?k+i+n:"^"===o?k.substring(0,S>>=1)+i+n+k.substring(S):i+(M?n:k+n))+e}}}function Fn(n){return n+""}function Hn(){this._=new Date(arguments.length>1?Date.UTC.apply(this,arguments):arguments[0])}function On(n,t,e){function r(t){var e=n(t),r=u(e,1);return r-t>t-e?e:r}function i(e){return t(e=n(new va(e-1)),1),e}function u(n,e){return t(n=new va(+n),e),n}function o(n,r,u){var o=i(n),a=[];if(u>1)for(;r>o;)e(o)%u||a.push(new Date(+o)),t(o,1);else for(;r>o;)a.push(new Date(+o)),t(o,1);return a}function a(n,t,e){try{va=Hn;var r=new Hn;return r._=n,o(r,t,e)}finally{va=Date}}n.floor=n,n.round=r,n.ceil=i,n.offset=u,n.range=o;var l=n.utc=In(n);return l.floor=l,l.round=In(r),l.ceil=In(i),l.offset=In(u),l.range=a,n}function In(n){return function(t,e){try{va=Hn;var r=new Hn;return r._=t,n(r,e)._}finally{va=Date}}}function Yn(n){function t(n){function t(t){for(var e,i,u,o=[],a=-1,l=0;++a<r;)37===n.charCodeAt(a)&&(o.push(n.slice(l,a)),null!=(i=ya[e=n.charAt(++a)])&&(e=n.charAt(++a)),(u=A[e])&&(e=u(t,null==i?"e"===e?" ":"0":i)),o.push(e),l=a+1);return o.push(n.slice(l,a)),o.join("")}var r=n.length;return t.parse=function(t){var r={y:1900,m:0,d:1,H:0,M:0,S:0,L:0,Z:null},i=e(r,n,t,0);if(i!=t.length)return null;"p"in r&&(r.H=r.H%12+12*r.p);var u=null!=r.Z&&va!==Hn,o=new(u?Hn:va);return"j"in r?o.setFullYear(r.y,0,r.j):"W"in r||"U"in r?("w"in r||(r.w="W"in r?1:0),o.setFullYear(r.y,0,1),o.setFullYear(r.y,0,"W"in r?(r.w+6)%7+7*r.W-(o.getDay()+5)%7:r.w+7*r.U-(o.getDay()+6)%7)):o.setFullYear(r.y,r.m,r.d),o.setHours(r.H+(r.Z/100|0),r.M+r.Z%100,r.S,r.L),u?o._:o},t.toString=function(){return n},t}function e(n,t,e,r){for(var i,u,o,a=0,l=t.length,c=e.length;l>a;){if(r>=c)return-1;if(i=t.charCodeAt(a++),37===i){if(o=t.charAt(a++),u=C[o in ya?t.charAt(a++):o],!u||(r=u(n,e,r))<0)return-1}else if(i!=e.charCodeAt(r++))return-1}return r}function r(n,t,e){_.lastIndex=0;var r=_.exec(t.slice(e));return r?(n.w=w.get(r[0].toLowerCase()),e+r[0].length):-1}function i(n,t,e){x.lastIndex=0;var r=x.exec(t.slice(e));return r?(n.w=b.get(r[0].toLowerCase()),e+r[0].length):-1}function u(n,t,e){N.lastIndex=0;var r=N.exec(t.slice(e));return r?(n.m=E.get(r[0].toLowerCase()),e+r[0].length):-1}function o(n,t,e){S.lastIndex=0;var r=S.exec(t.slice(e));return r?(n.m=k.get(r[0].toLowerCase()),e+r[0].length):-1}function a(n,t,r){return e(n,A.c.toString(),t,r)}function l(n,t,r){return e(n,A.x.toString(),t,r)}function c(n,t,r){return e(n,A.X.toString(),t,r)}function f(n,t,e){var r=M.get(t.slice(e,e+=2).toLowerCase());return null==r?-1:(n.p=r,e)}var s=n.dateTime,h=n.date,p=n.time,g=n.periods,v=n.days,d=n.shortDays,y=n.months,m=n.shortMonths;t.utc=function(n){function e(n){try{va=Hn;var t=new va;return t._=n,r(t)}finally{va=Date}}var r=t(n);return e.parse=function(n){try{va=Hn;var t=r.parse(n);return t&&t._}finally{va=Date}},e.toString=r.toString,e},t.multi=t.utc.multi=ct;var M=ao.map(),x=Vn(v),b=Xn(v),_=Vn(d),w=Xn(d),S=Vn(y),k=Xn(y),N=Vn(m),E=Xn(m);g.forEach(function(n,t){M.set(n.toLowerCase(),t)});var A={a:function(n){return d[n.getDay()]},A:function(n){return v[n.getDay()]},b:function(n){return m[n.getMonth()]},B:function(n){return y[n.getMonth()]},c:t(s),d:function(n,t){return Zn(n.getDate(),t,2)},e:function(n,t){return Zn(n.getDate(),t,2)},H:function(n,t){return Zn(n.getHours(),t,2)},I:function(n,t){return Zn(n.getHours()%12||12,t,2)},j:function(n,t){return Zn(1+ga.dayOfYear(n),t,3)},L:function(n,t){return Zn(n.getMilliseconds(),t,3)},m:function(n,t){return Zn(n.getMonth()+1,t,2)},M:function(n,t){return Zn(n.getMinutes(),t,2)},p:function(n){return g[+(n.getHours()>=12)]},S:function(n,t){return Zn(n.getSeconds(),t,2)},U:function(n,t){return Zn(ga.sundayOfYear(n),t,2)},w:function(n){return n.getDay()},W:function(n,t){return Zn(ga.mondayOfYear(n),t,2)},x:t(h),X:t(p),y:function(n,t){return Zn(n.getFullYear()%100,t,2)},Y:function(n,t){return Zn(n.getFullYear()%1e4,t,4)},Z:at,"%":function(){return"%"}},C={a:r,A:i,b:u,B:o,c:a,d:tt,e:tt,H:rt,I:rt,j:et,L:ot,m:nt,M:it,p:f,S:ut,U:Bn,w:$n,W:Wn,x:l,X:c,y:Gn,Y:Jn,Z:Kn,"%":lt};return t}function Zn(n,t,e){var r=0>n?"-":"",i=(r?-n:n)+"",u=i.length;return r+(e>u?new Array(e-u+1).join(t)+i:i)}function Vn(n){return new RegExp("^(?:"+n.map(ao.requote).join("|")+")","i")}function Xn(n){for(var t=new c,e=-1,r=n.length;++e<r;)t.set(n[e].toLowerCase(),e);return t}function $n(n,t,e){ma.lastIndex=0;var r=ma.exec(t.slice(e,e+1));return r?(n.w=+r[0],e+r[0].length):-1}function Bn(n,t,e){ma.lastIndex=0;var r=ma.exec(t.slice(e));return r?(n.U=+r[0],e+r[0].length):-1}function Wn(n,t,e){ma.lastIndex=0;var r=ma.exec(t.slice(e));return r?(n.W=+r[0],e+r[0].length):-1}function Jn(n,t,e){ma.lastIndex=0;var r=ma.exec(t.slice(e,e+4));return r?(n.y=+r[0],e+r[0].length):-1}function Gn(n,t,e){ma.lastIndex=0;var r=ma.exec(t.slice(e,e+2));return r?(n.y=Qn(+r[0]),e+r[0].length):-1}function Kn(n,t,e){return/^[+-]\d{4}$/.test(t=t.slice(e,e+5))?(n.Z=-t,e+5):-1}function Qn(n){return n+(n>68?1900:2e3)}function nt(n,t,e){ma.lastIndex=0;var r=ma.exec(t.slice(e,e+2));return r?(n.m=r[0]-1,e+r[0].length):-1}function tt(n,t,e){ma.lastIndex=0;var r=ma.exec(t.slice(e,e+2));return r?(n.d=+r[0],e+r[0].length):-1}function et(n,t,e){ma.lastIndex=0;var r=ma.exec(t.slice(e,e+3));return r?(n.j=+r[0],e+r[0].length):-1}function rt(n,t,e){ma.lastIndex=0;var r=ma.exec(t.slice(e,e+2));return r?(n.H=+r[0],e+r[0].length):-1}function it(n,t,e){ma.lastIndex=0;var r=ma.exec(t.slice(e,e+2));return r?(n.M=+r[0],e+r[0].length):-1}function ut(n,t,e){ma.lastIndex=0;var r=ma.exec(t.slice(e,e+2));return r?(n.S=+r[0],e+r[0].length):-1}function ot(n,t,e){ma.lastIndex=0;var r=ma.exec(t.slice(e,e+3));return r?(n.L=+r[0],e+r[0].length):-1}function at(n){var t=n.getTimezoneOffset(),e=t>0?"-":"+",r=xo(t)/60|0,i=xo(t)%60;return e+Zn(r,"0",2)+Zn(i,"0",2)}function lt(n,t,e){Ma.lastIndex=0;var r=Ma.exec(t.slice(e,e+1));return r?e+r[0].length:-1}function ct(n){for(var t=n.length,e=-1;++e<t;)n[e][0]=this(n[e][0]);return function(t){for(var e=0,r=n[e];!r[1](t);)r=n[++e];return r[0](t)}}function ft(){}function st(n,t,e){var r=e.s=n+t,i=r-n,u=r-i;e.t=n-u+(t-i)}function ht(n,t){n&&wa.hasOwnProperty(n.type)&&wa[n.type](n,t)}function pt(n,t,e){var r,i=-1,u=n.length-e;for(t.lineStart();++i<u;)r=n[i],t.point(r[0],r[1],r[2]);t.lineEnd()}function gt(n,t){var e=-1,r=n.length;for(t.polygonStart();++e<r;)pt(n[e],t,1);t.polygonEnd()}function vt(){function n(n,t){n*=Yo,t=t*Yo/2+Fo/4;var e=n-r,o=e>=0?1:-1,a=o*e,l=Math.cos(t),c=Math.sin(t),f=u*c,s=i*l+f*Math.cos(a),h=f*o*Math.sin(a);ka.add(Math.atan2(h,s)),r=n,i=l,u=c}var t,e,r,i,u;Na.point=function(o,a){Na.point=n,r=(t=o)*Yo,i=Math.cos(a=(e=a)*Yo/2+Fo/4),u=Math.sin(a)},Na.lineEnd=function(){n(t,e)}}function dt(n){var t=n[0],e=n[1],r=Math.cos(e);return[r*Math.cos(t),r*Math.sin(t),Math.sin(e)]}function yt(n,t){return n[0]*t[0]+n[1]*t[1]+n[2]*t[2]}function mt(n,t){return[n[1]*t[2]-n[2]*t[1],n[2]*t[0]-n[0]*t[2],n[0]*t[1]-n[1]*t[0]]}function Mt(n,t){n[0]+=t[0],n[1]+=t[1],n[2]+=t[2]}function xt(n,t){return[n[0]*t,n[1]*t,n[2]*t]}function bt(n){var t=Math.sqrt(n[0]*n[0]+n[1]*n[1]+n[2]*n[2]);n[0]/=t,n[1]/=t,n[2]/=t}function _t(n){return[Math.atan2(n[1],n[0]),tn(n[2])]}function wt(n,t){return xo(n[0]-t[0])<Uo&&xo(n[1]-t[1])<Uo}function St(n,t){n*=Yo;var e=Math.cos(t*=Yo);kt(e*Math.cos(n),e*Math.sin(n),Math.sin(t))}function kt(n,t,e){++Ea,Ca+=(n-Ca)/Ea,za+=(t-za)/Ea,La+=(e-La)/Ea}function Nt(){function n(n,i){n*=Yo;var u=Math.cos(i*=Yo),o=u*Math.cos(n),a=u*Math.sin(n),l=Math.sin(i),c=Math.atan2(Math.sqrt((c=e*l-r*a)*c+(c=r*o-t*l)*c+(c=t*a-e*o)*c),t*o+e*a+r*l);Aa+=c,qa+=c*(t+(t=o)),Ta+=c*(e+(e=a)),Ra+=c*(r+(r=l)),kt(t,e,r)}var t,e,r;ja.point=function(i,u){i*=Yo;var o=Math.cos(u*=Yo);t=o*Math.cos(i),e=o*Math.sin(i),r=Math.sin(u),ja.point=n,kt(t,e,r)}}function Et(){ja.point=St}function At(){function n(n,t){n*=Yo;var e=Math.cos(t*=Yo),o=e*Math.cos(n),a=e*Math.sin(n),l=Math.sin(t),c=i*l-u*a,f=u*o-r*l,s=r*a-i*o,h=Math.sqrt(c*c+f*f+s*s),p=r*o+i*a+u*l,g=h&&-nn(p)/h,v=Math.atan2(h,p);Da+=g*c,Pa+=g*f,Ua+=g*s,Aa+=v,qa+=v*(r+(r=o)),Ta+=v*(i+(i=a)),Ra+=v*(u+(u=l)),kt(r,i,u)}var t,e,r,i,u;ja.point=function(o,a){t=o,e=a,ja.point=n,o*=Yo;var l=Math.cos(a*=Yo);r=l*Math.cos(o),i=l*Math.sin(o),u=Math.sin(a),kt(r,i,u)},ja.lineEnd=function(){n(t,e),ja.lineEnd=Et,ja.point=St}}function Ct(n,t){function e(e,r){return e=n(e,r),t(e[0],e[1])}return n.invert&&t.invert&&(e.invert=function(e,r){return e=t.invert(e,r),e&&n.invert(e[0],e[1])}),e}function zt(){return!0}function Lt(n,t,e,r,i){var u=[],o=[];if(n.forEach(function(n){if(!((t=n.length-1)<=0)){var t,e=n[0],r=n[t];if(wt(e,r)){i.lineStart();for(var a=0;t>a;++a)i.point((e=n[a])[0],e[1]);return void i.lineEnd()}var l=new Tt(e,n,null,!0),c=new Tt(e,null,l,!1);l.o=c,u.push(l),o.push(c),l=new Tt(r,n,null,!1),c=new Tt(r,null,l,!0),l.o=c,u.push(l),o.push(c)}}),o.sort(t),qt(u),qt(o),u.length){for(var a=0,l=e,c=o.length;c>a;++a)o[a].e=l=!l;for(var f,s,h=u[0];;){for(var p=h,g=!0;p.v;)if((p=p.n)===h)return;f=p.z,i.lineStart();do{if(p.v=p.o.v=!0,p.e){if(g)for(var a=0,c=f.length;c>a;++a)i.point((s=f[a])[0],s[1]);else r(p.x,p.n.x,1,i);p=p.n}else{if(g){f=p.p.z;for(var a=f.length-1;a>=0;--a)i.point((s=f[a])[0],s[1])}else r(p.x,p.p.x,-1,i);p=p.p}p=p.o,f=p.z,g=!g}while(!p.v);i.lineEnd()}}}function qt(n){if(t=n.length){for(var t,e,r=0,i=n[0];++r<t;)i.n=e=n[r],e.p=i,i=e;i.n=e=n[0],e.p=i}}function Tt(n,t,e,r){this.x=n,this.z=t,this.o=e,this.e=r,this.v=!1,this.n=this.p=null}function Rt(n,t,e,r){return function(i,u){function o(t,e){var r=i(t,e);n(t=r[0],e=r[1])&&u.point(t,e)}function a(n,t){var e=i(n,t);d.point(e[0],e[1])}function l(){m.point=a,d.lineStart()}function c(){m.point=o,d.lineEnd()}function f(n,t){v.push([n,t]);var e=i(n,t);x.point(e[0],e[1])}function s(){x.lineStart(),v=[]}function h(){f(v[0][0],v[0][1]),x.lineEnd();var n,t=x.clean(),e=M.buffer(),r=e.length;if(v.pop(),g.push(v),v=null,r)if(1&t){n=e[0];var i,r=n.length-1,o=-1;if(r>0){for(b||(u.polygonStart(),b=!0),u.lineStart();++o<r;)u.point((i=n[o])[0],i[1]);u.lineEnd()}}else r>1&&2&t&&e.push(e.pop().concat(e.shift())),p.push(e.filter(Dt))}var p,g,v,d=t(u),y=i.invert(r[0],r[1]),m={point:o,lineStart:l,lineEnd:c,polygonStart:function(){m.point=f,m.lineStart=s,m.lineEnd=h,p=[],g=[]},polygonEnd:function(){m.point=o,m.lineStart=l,m.lineEnd=c,p=ao.merge(p);var n=Ot(y,g);p.length?(b||(u.polygonStart(),b=!0),Lt(p,Ut,n,e,u)):n&&(b||(u.polygonStart(),b=!0),u.lineStart(),e(null,null,1,u),u.lineEnd()),b&&(u.polygonEnd(),b=!1),p=g=null},sphere:function(){u.polygonStart(),u.lineStart(),e(null,null,1,u),u.lineEnd(),u.polygonEnd()}},M=Pt(),x=t(M),b=!1;return m}}function Dt(n){return n.length>1}function Pt(){var n,t=[];return{lineStart:function(){t.push(n=[])},point:function(t,e){n.push([t,e])},lineEnd:b,buffer:function(){var e=t;return t=[],n=null,e},rejoin:function(){t.length>1&&t.push(t.pop().concat(t.shift()))}}}function Ut(n,t){return((n=n.x)[0]<0?n[1]-Io-Uo:Io-n[1])-((t=t.x)[0]<0?t[1]-Io-Uo:Io-t[1])}function jt(n){var t,e=NaN,r=NaN,i=NaN;return{lineStart:function(){n.lineStart(),t=1},point:function(u,o){var a=u>0?Fo:-Fo,l=xo(u-e);xo(l-Fo)<Uo?(n.point(e,r=(r+o)/2>0?Io:-Io),n.point(i,r),n.lineEnd(),n.lineStart(),n.point(a,r),n.point(u,r),t=0):i!==a&&l>=Fo&&(xo(e-i)<Uo&&(e-=i*Uo),xo(u-a)<Uo&&(u-=a*Uo),r=Ft(e,r,u,o),n.point(i,r),n.lineEnd(),n.lineStart(),n.point(a,r),t=0),n.point(e=u,r=o),i=a},lineEnd:function(){n.lineEnd(),e=r=NaN},clean:function(){return 2-t}}}function Ft(n,t,e,r){var i,u,o=Math.sin(n-e);return xo(o)>Uo?Math.atan((Math.sin(t)*(u=Math.cos(r))*Math.sin(e)-Math.sin(r)*(i=Math.cos(t))*Math.sin(n))/(i*u*o)):(t+r)/2}function Ht(n,t,e,r){var i;if(null==n)i=e*Io,r.point(-Fo,i),r.point(0,i),r.point(Fo,i),r.point(Fo,0),r.point(Fo,-i),r.point(0,-i),r.point(-Fo,-i),r.point(-Fo,0),r.point(-Fo,i);else if(xo(n[0]-t[0])>Uo){var u=n[0]<t[0]?Fo:-Fo;i=e*u/2,r.point(-u,i),r.point(0,i),r.point(u,i)}else r.point(t[0],t[1])}function Ot(n,t){var e=n[0],r=n[1],i=[Math.sin(e),-Math.cos(e),0],u=0,o=0;ka.reset();for(var a=0,l=t.length;l>a;++a){var c=t[a],f=c.length;if(f)for(var s=c[0],h=s[0],p=s[1]/2+Fo/4,g=Math.sin(p),v=Math.cos(p),d=1;;){d===f&&(d=0),n=c[d];var y=n[0],m=n[1]/2+Fo/4,M=Math.sin(m),x=Math.cos(m),b=y-h,_=b>=0?1:-1,w=_*b,S=w>Fo,k=g*M;if(ka.add(Math.atan2(k*_*Math.sin(w),v*x+k*Math.cos(w))),u+=S?b+_*Ho:b,S^h>=e^y>=e){var N=mt(dt(s),dt(n));bt(N);var E=mt(i,N);bt(E);var A=(S^b>=0?-1:1)*tn(E[2]);(r>A||r===A&&(N[0]||N[1]))&&(o+=S^b>=0?1:-1)}if(!d++)break;h=y,g=M,v=x,s=n}}return(-Uo>u||Uo>u&&-Uo>ka)^1&o}function It(n){function t(n,t){return Math.cos(n)*Math.cos(t)>u}function e(n){var e,u,l,c,f;return{lineStart:function(){c=l=!1,f=1},point:function(s,h){var p,g=[s,h],v=t(s,h),d=o?v?0:i(s,h):v?i(s+(0>s?Fo:-Fo),h):0;if(!e&&(c=l=v)&&n.lineStart(),v!==l&&(p=r(e,g),(wt(e,p)||wt(g,p))&&(g[0]+=Uo,g[1]+=Uo,v=t(g[0],g[1]))),v!==l)f=0,v?(n.lineStart(),p=r(g,e),n.point(p[0],p[1])):(p=r(e,g),n.point(p[0],p[1]),n.lineEnd()),e=p;else if(a&&e&&o^v){var y;d&u||!(y=r(g,e,!0))||(f=0,o?(n.lineStart(),n.point(y[0][0],y[0][1]),n.point(y[1][0],y[1][1]),n.lineEnd()):(n.point(y[1][0],y[1][1]),n.lineEnd(),n.lineStart(),n.point(y[0][0],y[0][1])))}!v||e&&wt(e,g)||n.point(g[0],g[1]),e=g,l=v,u=d},lineEnd:function(){l&&n.lineEnd(),e=null},clean:function(){return f|(c&&l)<<1}}}function r(n,t,e){var r=dt(n),i=dt(t),o=[1,0,0],a=mt(r,i),l=yt(a,a),c=a[0],f=l-c*c;if(!f)return!e&&n;var s=u*l/f,h=-u*c/f,p=mt(o,a),g=xt(o,s),v=xt(a,h);Mt(g,v);var d=p,y=yt(g,d),m=yt(d,d),M=y*y-m*(yt(g,g)-1);if(!(0>M)){var x=Math.sqrt(M),b=xt(d,(-y-x)/m);if(Mt(b,g),b=_t(b),!e)return b;var _,w=n[0],S=t[0],k=n[1],N=t[1];w>S&&(_=w,w=S,S=_);var E=S-w,A=xo(E-Fo)<Uo,C=A||Uo>E;if(!A&&k>N&&(_=k,k=N,N=_),C?A?k+N>0^b[1]<(xo(b[0]-w)<Uo?k:N):k<=b[1]&&b[1]<=N:E>Fo^(w<=b[0]&&b[0]<=S)){var z=xt(d,(-y+x)/m);return Mt(z,g),[b,_t(z)]}}}function i(t,e){var r=o?n:Fo-n,i=0;return-r>t?i|=1:t>r&&(i|=2),-r>e?i|=4:e>r&&(i|=8),i}var u=Math.cos(n),o=u>0,a=xo(u)>Uo,l=ve(n,6*Yo);return Rt(t,e,l,o?[0,-n]:[-Fo,n-Fo])}function Yt(n,t,e,r){return function(i){var u,o=i.a,a=i.b,l=o.x,c=o.y,f=a.x,s=a.y,h=0,p=1,g=f-l,v=s-c;if(u=n-l,g||!(u>0)){if(u/=g,0>g){if(h>u)return;p>u&&(p=u)}else if(g>0){if(u>p)return;u>h&&(h=u)}if(u=e-l,g||!(0>u)){if(u/=g,0>g){if(u>p)return;u>h&&(h=u)}else if(g>0){if(h>u)return;p>u&&(p=u)}if(u=t-c,v||!(u>0)){if(u/=v,0>v){if(h>u)return;p>u&&(p=u)}else if(v>0){if(u>p)return;u>h&&(h=u)}if(u=r-c,v||!(0>u)){if(u/=v,0>v){if(u>p)return;u>h&&(h=u)}else if(v>0){if(h>u)return;p>u&&(p=u)}return h>0&&(i.a={x:l+h*g,y:c+h*v}),1>p&&(i.b={x:l+p*g,y:c+p*v}),i}}}}}}function Zt(n,t,e,r){function i(r,i){return xo(r[0]-n)<Uo?i>0?0:3:xo(r[0]-e)<Uo?i>0?2:1:xo(r[1]-t)<Uo?i>0?1:0:i>0?3:2}function u(n,t){return o(n.x,t.x)}function o(n,t){var e=i(n,1),r=i(t,1);return e!==r?e-r:0===e?t[1]-n[1]:1===e?n[0]-t[0]:2===e?n[1]-t[1]:t[0]-n[0]}return function(a){function l(n){for(var t=0,e=d.length,r=n[1],i=0;e>i;++i)for(var u,o=1,a=d[i],l=a.length,c=a[0];l>o;++o)u=a[o],c[1]<=r?u[1]>r&&Q(c,u,n)>0&&++t:u[1]<=r&&Q(c,u,n)<0&&--t,c=u;return 0!==t}function c(u,a,l,c){var f=0,s=0;if(null==u||(f=i(u,l))!==(s=i(a,l))||o(u,a)<0^l>0){do c.point(0===f||3===f?n:e,f>1?r:t);while((f=(f+l+4)%4)!==s)}else c.point(a[0],a[1])}function f(i,u){return i>=n&&e>=i&&u>=t&&r>=u}function s(n,t){f(n,t)&&a.point(n,t)}function h(){C.point=g,d&&d.push(y=[]),S=!0,w=!1,b=_=NaN}function p(){v&&(g(m,M),x&&w&&E.rejoin(),v.push(E.buffer())),C.point=s,w&&a.lineEnd()}function g(n,t){n=Math.max(-Ha,Math.min(Ha,n)),t=Math.max(-Ha,Math.min(Ha,t));var e=f(n,t);if(d&&y.push([n,t]),S)m=n,M=t,x=e,S=!1,e&&(a.lineStart(),a.point(n,t));else if(e&&w)a.point(n,t);else{var r={a:{x:b,y:_},b:{x:n,y:t}};A(r)?(w||(a.lineStart(),a.point(r.a.x,r.a.y)),a.point(r.b.x,r.b.y),e||a.lineEnd(),k=!1):e&&(a.lineStart(),a.point(n,t),k=!1)}b=n,_=t,w=e}var v,d,y,m,M,x,b,_,w,S,k,N=a,E=Pt(),A=Yt(n,t,e,r),C={point:s,lineStart:h,lineEnd:p,polygonStart:function(){a=E,v=[],d=[],k=!0},polygonEnd:function(){a=N,v=ao.merge(v);var t=l([n,r]),e=k&&t,i=v.length;(e||i)&&(a.polygonStart(),e&&(a.lineStart(),c(null,null,1,a),a.lineEnd()),i&&Lt(v,u,t,c,a),a.polygonEnd()),v=d=y=null}};return C}}function Vt(n){var t=0,e=Fo/3,r=ae(n),i=r(t,e);return i.parallels=function(n){return arguments.length?r(t=n[0]*Fo/180,e=n[1]*Fo/180):[t/Fo*180,e/Fo*180]},i}function Xt(n,t){function e(n,t){var e=Math.sqrt(u-2*i*Math.sin(t))/i;return[e*Math.sin(n*=i),o-e*Math.cos(n)]}var r=Math.sin(n),i=(r+Math.sin(t))/2,u=1+r*(2*i-r),o=Math.sqrt(u)/i;return e.invert=function(n,t){var e=o-t;return[Math.atan2(n,e)/i,tn((u-(n*n+e*e)*i*i)/(2*i))]},e}function $t(){function n(n,t){Ia+=i*n-r*t,r=n,i=t}var t,e,r,i;$a.point=function(u,o){$a.point=n,t=r=u,e=i=o},$a.lineEnd=function(){n(t,e)}}function Bt(n,t){Ya>n&&(Ya=n),n>Va&&(Va=n),Za>t&&(Za=t),t>Xa&&(Xa=t)}function Wt(){function n(n,t){o.push("M",n,",",t,u)}function t(n,t){o.push("M",n,",",t),a.point=e}function e(n,t){o.push("L",n,",",t)}function r(){a.point=n}function i(){o.push("Z")}var u=Jt(4.5),o=[],a={point:n,lineStart:function(){a.point=t},lineEnd:r,polygonStart:function(){a.lineEnd=i},polygonEnd:function(){a.lineEnd=r,a.point=n},pointRadius:function(n){return u=Jt(n),a},result:function(){if(o.length){var n=o.join("");return o=[],n}}};return a}function Jt(n){return"m0,"+n+"a"+n+","+n+" 0 1,1 0,"+-2*n+"a"+n+","+n+" 0 1,1 0,"+2*n+"z"}function Gt(n,t){Ca+=n,za+=t,++La}function Kt(){function n(n,r){var i=n-t,u=r-e,o=Math.sqrt(i*i+u*u);qa+=o*(t+n)/2,Ta+=o*(e+r)/2,Ra+=o,Gt(t=n,e=r)}var t,e;Wa.point=function(r,i){Wa.point=n,Gt(t=r,e=i)}}function Qt(){Wa.point=Gt}function ne(){function n(n,t){var e=n-r,u=t-i,o=Math.sqrt(e*e+u*u);qa+=o*(r+n)/2,Ta+=o*(i+t)/2,Ra+=o,o=i*n-r*t,Da+=o*(r+n),Pa+=o*(i+t),Ua+=3*o,Gt(r=n,i=t)}var t,e,r,i;Wa.point=function(u,o){Wa.point=n,Gt(t=r=u,e=i=o)},Wa.lineEnd=function(){n(t,e)}}function te(n){function t(t,e){n.moveTo(t+o,e),n.arc(t,e,o,0,Ho)}function e(t,e){n.moveTo(t,e),a.point=r}function r(t,e){n.lineTo(t,e)}function i(){a.point=t}function u(){n.closePath()}var o=4.5,a={point:t,lineStart:function(){a.point=e},lineEnd:i,polygonStart:function(){a.lineEnd=u},polygonEnd:function(){a.lineEnd=i,a.point=t},pointRadius:function(n){return o=n,a},result:b};return a}function ee(n){function t(n){return(a?r:e)(n)}function e(t){return ue(t,function(e,r){e=n(e,r),t.point(e[0],e[1])})}function r(t){function e(e,r){e=n(e,r),t.point(e[0],e[1])}function r(){M=NaN,S.point=u,t.lineStart()}function u(e,r){var u=dt([e,r]),o=n(e,r);i(M,x,m,b,_,w,M=o[0],x=o[1],m=e,b=u[0],_=u[1],w=u[2],a,t),t.point(M,x)}function o(){S.point=e,t.lineEnd()}function l(){
r(),S.point=c,S.lineEnd=f}function c(n,t){u(s=n,h=t),p=M,g=x,v=b,d=_,y=w,S.point=u}function f(){i(M,x,m,b,_,w,p,g,s,v,d,y,a,t),S.lineEnd=o,o()}var s,h,p,g,v,d,y,m,M,x,b,_,w,S={point:e,lineStart:r,lineEnd:o,polygonStart:function(){t.polygonStart(),S.lineStart=l},polygonEnd:function(){t.polygonEnd(),S.lineStart=r}};return S}function i(t,e,r,a,l,c,f,s,h,p,g,v,d,y){var m=f-t,M=s-e,x=m*m+M*M;if(x>4*u&&d--){var b=a+p,_=l+g,w=c+v,S=Math.sqrt(b*b+_*_+w*w),k=Math.asin(w/=S),N=xo(xo(w)-1)<Uo||xo(r-h)<Uo?(r+h)/2:Math.atan2(_,b),E=n(N,k),A=E[0],C=E[1],z=A-t,L=C-e,q=M*z-m*L;(q*q/x>u||xo((m*z+M*L)/x-.5)>.3||o>a*p+l*g+c*v)&&(i(t,e,r,a,l,c,A,C,N,b/=S,_/=S,w,d,y),y.point(A,C),i(A,C,N,b,_,w,f,s,h,p,g,v,d,y))}}var u=.5,o=Math.cos(30*Yo),a=16;return t.precision=function(n){return arguments.length?(a=(u=n*n)>0&&16,t):Math.sqrt(u)},t}function re(n){var t=ee(function(t,e){return n([t*Zo,e*Zo])});return function(n){return le(t(n))}}function ie(n){this.stream=n}function ue(n,t){return{point:t,sphere:function(){n.sphere()},lineStart:function(){n.lineStart()},lineEnd:function(){n.lineEnd()},polygonStart:function(){n.polygonStart()},polygonEnd:function(){n.polygonEnd()}}}function oe(n){return ae(function(){return n})()}function ae(n){function t(n){return n=a(n[0]*Yo,n[1]*Yo),[n[0]*h+l,c-n[1]*h]}function e(n){return n=a.invert((n[0]-l)/h,(c-n[1])/h),n&&[n[0]*Zo,n[1]*Zo]}function r(){a=Ct(o=se(y,M,x),u);var n=u(v,d);return l=p-n[0]*h,c=g+n[1]*h,i()}function i(){return f&&(f.valid=!1,f=null),t}var u,o,a,l,c,f,s=ee(function(n,t){return n=u(n,t),[n[0]*h+l,c-n[1]*h]}),h=150,p=480,g=250,v=0,d=0,y=0,M=0,x=0,b=Fa,_=m,w=null,S=null;return t.stream=function(n){return f&&(f.valid=!1),f=le(b(o,s(_(n)))),f.valid=!0,f},t.clipAngle=function(n){return arguments.length?(b=null==n?(w=n,Fa):It((w=+n)*Yo),i()):w},t.clipExtent=function(n){return arguments.length?(S=n,_=n?Zt(n[0][0],n[0][1],n[1][0],n[1][1]):m,i()):S},t.scale=function(n){return arguments.length?(h=+n,r()):h},t.translate=function(n){return arguments.length?(p=+n[0],g=+n[1],r()):[p,g]},t.center=function(n){return arguments.length?(v=n[0]%360*Yo,d=n[1]%360*Yo,r()):[v*Zo,d*Zo]},t.rotate=function(n){return arguments.length?(y=n[0]%360*Yo,M=n[1]%360*Yo,x=n.length>2?n[2]%360*Yo:0,r()):[y*Zo,M*Zo,x*Zo]},ao.rebind(t,s,"precision"),function(){return u=n.apply(this,arguments),t.invert=u.invert&&e,r()}}function le(n){return ue(n,function(t,e){n.point(t*Yo,e*Yo)})}function ce(n,t){return[n,t]}function fe(n,t){return[n>Fo?n-Ho:-Fo>n?n+Ho:n,t]}function se(n,t,e){return n?t||e?Ct(pe(n),ge(t,e)):pe(n):t||e?ge(t,e):fe}function he(n){return function(t,e){return t+=n,[t>Fo?t-Ho:-Fo>t?t+Ho:t,e]}}function pe(n){var t=he(n);return t.invert=he(-n),t}function ge(n,t){function e(n,t){var e=Math.cos(t),a=Math.cos(n)*e,l=Math.sin(n)*e,c=Math.sin(t),f=c*r+a*i;return[Math.atan2(l*u-f*o,a*r-c*i),tn(f*u+l*o)]}var r=Math.cos(n),i=Math.sin(n),u=Math.cos(t),o=Math.sin(t);return e.invert=function(n,t){var e=Math.cos(t),a=Math.cos(n)*e,l=Math.sin(n)*e,c=Math.sin(t),f=c*u-l*o;return[Math.atan2(l*u+c*o,a*r+f*i),tn(f*r-a*i)]},e}function ve(n,t){var e=Math.cos(n),r=Math.sin(n);return function(i,u,o,a){var l=o*t;null!=i?(i=de(e,i),u=de(e,u),(o>0?u>i:i>u)&&(i+=o*Ho)):(i=n+o*Ho,u=n-.5*l);for(var c,f=i;o>0?f>u:u>f;f-=l)a.point((c=_t([e,-r*Math.cos(f),-r*Math.sin(f)]))[0],c[1])}}function de(n,t){var e=dt(t);e[0]-=n,bt(e);var r=nn(-e[1]);return((-e[2]<0?-r:r)+2*Math.PI-Uo)%(2*Math.PI)}function ye(n,t,e){var r=ao.range(n,t-Uo,e).concat(t);return function(n){return r.map(function(t){return[n,t]})}}function me(n,t,e){var r=ao.range(n,t-Uo,e).concat(t);return function(n){return r.map(function(t){return[t,n]})}}function Me(n){return n.source}function xe(n){return n.target}function be(n,t,e,r){var i=Math.cos(t),u=Math.sin(t),o=Math.cos(r),a=Math.sin(r),l=i*Math.cos(n),c=i*Math.sin(n),f=o*Math.cos(e),s=o*Math.sin(e),h=2*Math.asin(Math.sqrt(on(r-t)+i*o*on(e-n))),p=1/Math.sin(h),g=h?function(n){var t=Math.sin(n*=h)*p,e=Math.sin(h-n)*p,r=e*l+t*f,i=e*c+t*s,o=e*u+t*a;return[Math.atan2(i,r)*Zo,Math.atan2(o,Math.sqrt(r*r+i*i))*Zo]}:function(){return[n*Zo,t*Zo]};return g.distance=h,g}function _e(){function n(n,i){var u=Math.sin(i*=Yo),o=Math.cos(i),a=xo((n*=Yo)-t),l=Math.cos(a);Ja+=Math.atan2(Math.sqrt((a=o*Math.sin(a))*a+(a=r*u-e*o*l)*a),e*u+r*o*l),t=n,e=u,r=o}var t,e,r;Ga.point=function(i,u){t=i*Yo,e=Math.sin(u*=Yo),r=Math.cos(u),Ga.point=n},Ga.lineEnd=function(){Ga.point=Ga.lineEnd=b}}function we(n,t){function e(t,e){var r=Math.cos(t),i=Math.cos(e),u=n(r*i);return[u*i*Math.sin(t),u*Math.sin(e)]}return e.invert=function(n,e){var r=Math.sqrt(n*n+e*e),i=t(r),u=Math.sin(i),o=Math.cos(i);return[Math.atan2(n*u,r*o),Math.asin(r&&e*u/r)]},e}function Se(n,t){function e(n,t){o>0?-Io+Uo>t&&(t=-Io+Uo):t>Io-Uo&&(t=Io-Uo);var e=o/Math.pow(i(t),u);return[e*Math.sin(u*n),o-e*Math.cos(u*n)]}var r=Math.cos(n),i=function(n){return Math.tan(Fo/4+n/2)},u=n===t?Math.sin(n):Math.log(r/Math.cos(t))/Math.log(i(t)/i(n)),o=r*Math.pow(i(n),u)/u;return u?(e.invert=function(n,t){var e=o-t,r=K(u)*Math.sqrt(n*n+e*e);return[Math.atan2(n,e)/u,2*Math.atan(Math.pow(o/r,1/u))-Io]},e):Ne}function ke(n,t){function e(n,t){var e=u-t;return[e*Math.sin(i*n),u-e*Math.cos(i*n)]}var r=Math.cos(n),i=n===t?Math.sin(n):(r-Math.cos(t))/(t-n),u=r/i+n;return xo(i)<Uo?ce:(e.invert=function(n,t){var e=u-t;return[Math.atan2(n,e)/i,u-K(i)*Math.sqrt(n*n+e*e)]},e)}function Ne(n,t){return[n,Math.log(Math.tan(Fo/4+t/2))]}function Ee(n){var t,e=oe(n),r=e.scale,i=e.translate,u=e.clipExtent;return e.scale=function(){var n=r.apply(e,arguments);return n===e?t?e.clipExtent(null):e:n},e.translate=function(){var n=i.apply(e,arguments);return n===e?t?e.clipExtent(null):e:n},e.clipExtent=function(n){var o=u.apply(e,arguments);if(o===e){if(t=null==n){var a=Fo*r(),l=i();u([[l[0]-a,l[1]-a],[l[0]+a,l[1]+a]])}}else t&&(o=null);return o},e.clipExtent(null)}function Ae(n,t){return[Math.log(Math.tan(Fo/4+t/2)),-n]}function Ce(n){return n[0]}function ze(n){return n[1]}function Le(n){for(var t=n.length,e=[0,1],r=2,i=2;t>i;i++){for(;r>1&&Q(n[e[r-2]],n[e[r-1]],n[i])<=0;)--r;e[r++]=i}return e.slice(0,r)}function qe(n,t){return n[0]-t[0]||n[1]-t[1]}function Te(n,t,e){return(e[0]-t[0])*(n[1]-t[1])<(e[1]-t[1])*(n[0]-t[0])}function Re(n,t,e,r){var i=n[0],u=e[0],o=t[0]-i,a=r[0]-u,l=n[1],c=e[1],f=t[1]-l,s=r[1]-c,h=(a*(l-c)-s*(i-u))/(s*o-a*f);return[i+h*o,l+h*f]}function De(n){var t=n[0],e=n[n.length-1];return!(t[0]-e[0]||t[1]-e[1])}function Pe(){rr(this),this.edge=this.site=this.circle=null}function Ue(n){var t=cl.pop()||new Pe;return t.site=n,t}function je(n){Be(n),ol.remove(n),cl.push(n),rr(n)}function Fe(n){var t=n.circle,e=t.x,r=t.cy,i={x:e,y:r},u=n.P,o=n.N,a=[n];je(n);for(var l=u;l.circle&&xo(e-l.circle.x)<Uo&&xo(r-l.circle.cy)<Uo;)u=l.P,a.unshift(l),je(l),l=u;a.unshift(l),Be(l);for(var c=o;c.circle&&xo(e-c.circle.x)<Uo&&xo(r-c.circle.cy)<Uo;)o=c.N,a.push(c),je(c),c=o;a.push(c),Be(c);var f,s=a.length;for(f=1;s>f;++f)c=a[f],l=a[f-1],nr(c.edge,l.site,c.site,i);l=a[0],c=a[s-1],c.edge=Ke(l.site,c.site,null,i),$e(l),$e(c)}function He(n){for(var t,e,r,i,u=n.x,o=n.y,a=ol._;a;)if(r=Oe(a,o)-u,r>Uo)a=a.L;else{if(i=u-Ie(a,o),!(i>Uo)){r>-Uo?(t=a.P,e=a):i>-Uo?(t=a,e=a.N):t=e=a;break}if(!a.R){t=a;break}a=a.R}var l=Ue(n);if(ol.insert(t,l),t||e){if(t===e)return Be(t),e=Ue(t.site),ol.insert(l,e),l.edge=e.edge=Ke(t.site,l.site),$e(t),void $e(e);if(!e)return void(l.edge=Ke(t.site,l.site));Be(t),Be(e);var c=t.site,f=c.x,s=c.y,h=n.x-f,p=n.y-s,g=e.site,v=g.x-f,d=g.y-s,y=2*(h*d-p*v),m=h*h+p*p,M=v*v+d*d,x={x:(d*m-p*M)/y+f,y:(h*M-v*m)/y+s};nr(e.edge,c,g,x),l.edge=Ke(c,n,null,x),e.edge=Ke(n,g,null,x),$e(t),$e(e)}}function Oe(n,t){var e=n.site,r=e.x,i=e.y,u=i-t;if(!u)return r;var o=n.P;if(!o)return-(1/0);e=o.site;var a=e.x,l=e.y,c=l-t;if(!c)return a;var f=a-r,s=1/u-1/c,h=f/c;return s?(-h+Math.sqrt(h*h-2*s*(f*f/(-2*c)-l+c/2+i-u/2)))/s+r:(r+a)/2}function Ie(n,t){var e=n.N;if(e)return Oe(e,t);var r=n.site;return r.y===t?r.x:1/0}function Ye(n){this.site=n,this.edges=[]}function Ze(n){for(var t,e,r,i,u,o,a,l,c,f,s=n[0][0],h=n[1][0],p=n[0][1],g=n[1][1],v=ul,d=v.length;d--;)if(u=v[d],u&&u.prepare())for(a=u.edges,l=a.length,o=0;l>o;)f=a[o].end(),r=f.x,i=f.y,c=a[++o%l].start(),t=c.x,e=c.y,(xo(r-t)>Uo||xo(i-e)>Uo)&&(a.splice(o,0,new tr(Qe(u.site,f,xo(r-s)<Uo&&g-i>Uo?{x:s,y:xo(t-s)<Uo?e:g}:xo(i-g)<Uo&&h-r>Uo?{x:xo(e-g)<Uo?t:h,y:g}:xo(r-h)<Uo&&i-p>Uo?{x:h,y:xo(t-h)<Uo?e:p}:xo(i-p)<Uo&&r-s>Uo?{x:xo(e-p)<Uo?t:s,y:p}:null),u.site,null)),++l)}function Ve(n,t){return t.angle-n.angle}function Xe(){rr(this),this.x=this.y=this.arc=this.site=this.cy=null}function $e(n){var t=n.P,e=n.N;if(t&&e){var r=t.site,i=n.site,u=e.site;if(r!==u){var o=i.x,a=i.y,l=r.x-o,c=r.y-a,f=u.x-o,s=u.y-a,h=2*(l*s-c*f);if(!(h>=-jo)){var p=l*l+c*c,g=f*f+s*s,v=(s*p-c*g)/h,d=(l*g-f*p)/h,s=d+a,y=fl.pop()||new Xe;y.arc=n,y.site=i,y.x=v+o,y.y=s+Math.sqrt(v*v+d*d),y.cy=s,n.circle=y;for(var m=null,M=ll._;M;)if(y.y<M.y||y.y===M.y&&y.x<=M.x){if(!M.L){m=M.P;break}M=M.L}else{if(!M.R){m=M;break}M=M.R}ll.insert(m,y),m||(al=y)}}}}function Be(n){var t=n.circle;t&&(t.P||(al=t.N),ll.remove(t),fl.push(t),rr(t),n.circle=null)}function We(n){for(var t,e=il,r=Yt(n[0][0],n[0][1],n[1][0],n[1][1]),i=e.length;i--;)t=e[i],(!Je(t,n)||!r(t)||xo(t.a.x-t.b.x)<Uo&&xo(t.a.y-t.b.y)<Uo)&&(t.a=t.b=null,e.splice(i,1))}function Je(n,t){var e=n.b;if(e)return!0;var r,i,u=n.a,o=t[0][0],a=t[1][0],l=t[0][1],c=t[1][1],f=n.l,s=n.r,h=f.x,p=f.y,g=s.x,v=s.y,d=(h+g)/2,y=(p+v)/2;if(v===p){if(o>d||d>=a)return;if(h>g){if(u){if(u.y>=c)return}else u={x:d,y:l};e={x:d,y:c}}else{if(u){if(u.y<l)return}else u={x:d,y:c};e={x:d,y:l}}}else if(r=(h-g)/(v-p),i=y-r*d,-1>r||r>1)if(h>g){if(u){if(u.y>=c)return}else u={x:(l-i)/r,y:l};e={x:(c-i)/r,y:c}}else{if(u){if(u.y<l)return}else u={x:(c-i)/r,y:c};e={x:(l-i)/r,y:l}}else if(v>p){if(u){if(u.x>=a)return}else u={x:o,y:r*o+i};e={x:a,y:r*a+i}}else{if(u){if(u.x<o)return}else u={x:a,y:r*a+i};e={x:o,y:r*o+i}}return n.a=u,n.b=e,!0}function Ge(n,t){this.l=n,this.r=t,this.a=this.b=null}function Ke(n,t,e,r){var i=new Ge(n,t);return il.push(i),e&&nr(i,n,t,e),r&&nr(i,t,n,r),ul[n.i].edges.push(new tr(i,n,t)),ul[t.i].edges.push(new tr(i,t,n)),i}function Qe(n,t,e){var r=new Ge(n,null);return r.a=t,r.b=e,il.push(r),r}function nr(n,t,e,r){n.a||n.b?n.l===e?n.b=r:n.a=r:(n.a=r,n.l=t,n.r=e)}function tr(n,t,e){var r=n.a,i=n.b;this.edge=n,this.site=t,this.angle=e?Math.atan2(e.y-t.y,e.x-t.x):n.l===t?Math.atan2(i.x-r.x,r.y-i.y):Math.atan2(r.x-i.x,i.y-r.y)}function er(){this._=null}function rr(n){n.U=n.C=n.L=n.R=n.P=n.N=null}function ir(n,t){var e=t,r=t.R,i=e.U;i?i.L===e?i.L=r:i.R=r:n._=r,r.U=i,e.U=r,e.R=r.L,e.R&&(e.R.U=e),r.L=e}function ur(n,t){var e=t,r=t.L,i=e.U;i?i.L===e?i.L=r:i.R=r:n._=r,r.U=i,e.U=r,e.L=r.R,e.L&&(e.L.U=e),r.R=e}function or(n){for(;n.L;)n=n.L;return n}function ar(n,t){var e,r,i,u=n.sort(lr).pop();for(il=[],ul=new Array(n.length),ol=new er,ll=new er;;)if(i=al,u&&(!i||u.y<i.y||u.y===i.y&&u.x<i.x))u.x===e&&u.y===r||(ul[u.i]=new Ye(u),He(u),e=u.x,r=u.y),u=n.pop();else{if(!i)break;Fe(i.arc)}t&&(We(t),Ze(t));var o={cells:ul,edges:il};return ol=ll=il=ul=null,o}function lr(n,t){return t.y-n.y||t.x-n.x}function cr(n,t,e){return(n.x-e.x)*(t.y-n.y)-(n.x-t.x)*(e.y-n.y)}function fr(n){return n.x}function sr(n){return n.y}function hr(){return{leaf:!0,nodes:[],point:null,x:null,y:null}}function pr(n,t,e,r,i,u){if(!n(t,e,r,i,u)){var o=.5*(e+i),a=.5*(r+u),l=t.nodes;l[0]&&pr(n,l[0],e,r,o,a),l[1]&&pr(n,l[1],o,r,i,a),l[2]&&pr(n,l[2],e,a,o,u),l[3]&&pr(n,l[3],o,a,i,u)}}function gr(n,t,e,r,i,u,o){var a,l=1/0;return function c(n,f,s,h,p){if(!(f>u||s>o||r>h||i>p)){if(g=n.point){var g,v=t-n.x,d=e-n.y,y=v*v+d*d;if(l>y){var m=Math.sqrt(l=y);r=t-m,i=e-m,u=t+m,o=e+m,a=g}}for(var M=n.nodes,x=.5*(f+h),b=.5*(s+p),_=t>=x,w=e>=b,S=w<<1|_,k=S+4;k>S;++S)if(n=M[3&S])switch(3&S){case 0:c(n,f,s,x,b);break;case 1:c(n,x,s,h,b);break;case 2:c(n,f,b,x,p);break;case 3:c(n,x,b,h,p)}}}(n,r,i,u,o),a}function vr(n,t){n=ao.rgb(n),t=ao.rgb(t);var e=n.r,r=n.g,i=n.b,u=t.r-e,o=t.g-r,a=t.b-i;return function(n){return"#"+bn(Math.round(e+u*n))+bn(Math.round(r+o*n))+bn(Math.round(i+a*n))}}function dr(n,t){var e,r={},i={};for(e in n)e in t?r[e]=Mr(n[e],t[e]):i[e]=n[e];for(e in t)e in n||(i[e]=t[e]);return function(n){for(e in r)i[e]=r[e](n);return i}}function yr(n,t){return n=+n,t=+t,function(e){return n*(1-e)+t*e}}function mr(n,t){var e,r,i,u=hl.lastIndex=pl.lastIndex=0,o=-1,a=[],l=[];for(n+="",t+="";(e=hl.exec(n))&&(r=pl.exec(t));)(i=r.index)>u&&(i=t.slice(u,i),a[o]?a[o]+=i:a[++o]=i),(e=e[0])===(r=r[0])?a[o]?a[o]+=r:a[++o]=r:(a[++o]=null,l.push({i:o,x:yr(e,r)})),u=pl.lastIndex;return u<t.length&&(i=t.slice(u),a[o]?a[o]+=i:a[++o]=i),a.length<2?l[0]?(t=l[0].x,function(n){return t(n)+""}):function(){return t}:(t=l.length,function(n){for(var e,r=0;t>r;++r)a[(e=l[r]).i]=e.x(n);return a.join("")})}function Mr(n,t){for(var e,r=ao.interpolators.length;--r>=0&&!(e=ao.interpolators[r](n,t)););return e}function xr(n,t){var e,r=[],i=[],u=n.length,o=t.length,a=Math.min(n.length,t.length);for(e=0;a>e;++e)r.push(Mr(n[e],t[e]));for(;u>e;++e)i[e]=n[e];for(;o>e;++e)i[e]=t[e];return function(n){for(e=0;a>e;++e)i[e]=r[e](n);return i}}function br(n){return function(t){return 0>=t?0:t>=1?1:n(t)}}function _r(n){return function(t){return 1-n(1-t)}}function wr(n){return function(t){return.5*(.5>t?n(2*t):2-n(2-2*t))}}function Sr(n){return n*n}function kr(n){return n*n*n}function Nr(n){if(0>=n)return 0;if(n>=1)return 1;var t=n*n,e=t*n;return 4*(.5>n?e:3*(n-t)+e-.75)}function Er(n){return function(t){return Math.pow(t,n)}}function Ar(n){return 1-Math.cos(n*Io)}function Cr(n){return Math.pow(2,10*(n-1))}function zr(n){return 1-Math.sqrt(1-n*n)}function Lr(n,t){var e;return arguments.length<2&&(t=.45),arguments.length?e=t/Ho*Math.asin(1/n):(n=1,e=t/4),function(r){return 1+n*Math.pow(2,-10*r)*Math.sin((r-e)*Ho/t)}}function qr(n){return n||(n=1.70158),function(t){return t*t*((n+1)*t-n)}}function Tr(n){return 1/2.75>n?7.5625*n*n:2/2.75>n?7.5625*(n-=1.5/2.75)*n+.75:2.5/2.75>n?7.5625*(n-=2.25/2.75)*n+.9375:7.5625*(n-=2.625/2.75)*n+.984375}function Rr(n,t){n=ao.hcl(n),t=ao.hcl(t);var e=n.h,r=n.c,i=n.l,u=t.h-e,o=t.c-r,a=t.l-i;return isNaN(o)&&(o=0,r=isNaN(r)?t.c:r),isNaN(u)?(u=0,e=isNaN(e)?t.h:e):u>180?u-=360:-180>u&&(u+=360),function(n){return sn(e+u*n,r+o*n,i+a*n)+""}}function Dr(n,t){n=ao.hsl(n),t=ao.hsl(t);var e=n.h,r=n.s,i=n.l,u=t.h-e,o=t.s-r,a=t.l-i;return isNaN(o)&&(o=0,r=isNaN(r)?t.s:r),isNaN(u)?(u=0,e=isNaN(e)?t.h:e):u>180?u-=360:-180>u&&(u+=360),function(n){return cn(e+u*n,r+o*n,i+a*n)+""}}function Pr(n,t){n=ao.lab(n),t=ao.lab(t);var e=n.l,r=n.a,i=n.b,u=t.l-e,o=t.a-r,a=t.b-i;return function(n){return pn(e+u*n,r+o*n,i+a*n)+""}}function Ur(n,t){return t-=n,function(e){return Math.round(n+t*e)}}function jr(n){var t=[n.a,n.b],e=[n.c,n.d],r=Hr(t),i=Fr(t,e),u=Hr(Or(e,t,-i))||0;t[0]*e[1]<e[0]*t[1]&&(t[0]*=-1,t[1]*=-1,r*=-1,i*=-1),this.rotate=(r?Math.atan2(t[1],t[0]):Math.atan2(-e[0],e[1]))*Zo,this.translate=[n.e,n.f],this.scale=[r,u],this.skew=u?Math.atan2(i,u)*Zo:0}function Fr(n,t){return n[0]*t[0]+n[1]*t[1]}function Hr(n){var t=Math.sqrt(Fr(n,n));return t&&(n[0]/=t,n[1]/=t),t}function Or(n,t,e){return n[0]+=e*t[0],n[1]+=e*t[1],n}function Ir(n){return n.length?n.pop()+",":""}function Yr(n,t,e,r){if(n[0]!==t[0]||n[1]!==t[1]){var i=e.push("translate(",null,",",null,")");r.push({i:i-4,x:yr(n[0],t[0])},{i:i-2,x:yr(n[1],t[1])})}else(t[0]||t[1])&&e.push("translate("+t+")")}function Zr(n,t,e,r){n!==t?(n-t>180?t+=360:t-n>180&&(n+=360),r.push({i:e.push(Ir(e)+"rotate(",null,")")-2,x:yr(n,t)})):t&&e.push(Ir(e)+"rotate("+t+")")}function Vr(n,t,e,r){n!==t?r.push({i:e.push(Ir(e)+"skewX(",null,")")-2,x:yr(n,t)}):t&&e.push(Ir(e)+"skewX("+t+")")}function Xr(n,t,e,r){if(n[0]!==t[0]||n[1]!==t[1]){var i=e.push(Ir(e)+"scale(",null,",",null,")");r.push({i:i-4,x:yr(n[0],t[0])},{i:i-2,x:yr(n[1],t[1])})}else 1===t[0]&&1===t[1]||e.push(Ir(e)+"scale("+t+")")}function $r(n,t){var e=[],r=[];return n=ao.transform(n),t=ao.transform(t),Yr(n.translate,t.translate,e,r),Zr(n.rotate,t.rotate,e,r),Vr(n.skew,t.skew,e,r),Xr(n.scale,t.scale,e,r),n=t=null,function(n){for(var t,i=-1,u=r.length;++i<u;)e[(t=r[i]).i]=t.x(n);return e.join("")}}function Br(n,t){return t=(t-=n=+n)||1/t,function(e){return(e-n)/t}}function Wr(n,t){return t=(t-=n=+n)||1/t,function(e){return Math.max(0,Math.min(1,(e-n)/t))}}function Jr(n){for(var t=n.source,e=n.target,r=Kr(t,e),i=[t];t!==r;)t=t.parent,i.push(t);for(var u=i.length;e!==r;)i.splice(u,0,e),e=e.parent;return i}function Gr(n){for(var t=[],e=n.parent;null!=e;)t.push(n),n=e,e=e.parent;return t.push(n),t}function Kr(n,t){if(n===t)return n;for(var e=Gr(n),r=Gr(t),i=e.pop(),u=r.pop(),o=null;i===u;)o=i,i=e.pop(),u=r.pop();return o}function Qr(n){n.fixed|=2}function ni(n){n.fixed&=-7}function ti(n){n.fixed|=4,n.px=n.x,n.py=n.y}function ei(n){n.fixed&=-5}function ri(n,t,e){var r=0,i=0;if(n.charge=0,!n.leaf)for(var u,o=n.nodes,a=o.length,l=-1;++l<a;)u=o[l],null!=u&&(ri(u,t,e),n.charge+=u.charge,r+=u.charge*u.cx,i+=u.charge*u.cy);if(n.point){n.leaf||(n.point.x+=Math.random()-.5,n.point.y+=Math.random()-.5);var c=t*e[n.point.index];n.charge+=n.pointCharge=c,r+=c*n.point.x,i+=c*n.point.y}n.cx=r/n.charge,n.cy=i/n.charge}function ii(n,t){return ao.rebind(n,t,"sort","children","value"),n.nodes=n,n.links=fi,n}function ui(n,t){for(var e=[n];null!=(n=e.pop());)if(t(n),(i=n.children)&&(r=i.length))for(var r,i;--r>=0;)e.push(i[r])}function oi(n,t){for(var e=[n],r=[];null!=(n=e.pop());)if(r.push(n),(u=n.children)&&(i=u.length))for(var i,u,o=-1;++o<i;)e.push(u[o]);for(;null!=(n=r.pop());)t(n)}function ai(n){return n.children}function li(n){return n.value}function ci(n,t){return t.value-n.value}function fi(n){return ao.merge(n.map(function(n){return(n.children||[]).map(function(t){return{source:n,target:t}})}))}function si(n){return n.x}function hi(n){return n.y}function pi(n,t,e){n.y0=t,n.y=e}function gi(n){return ao.range(n.length)}function vi(n){for(var t=-1,e=n[0].length,r=[];++t<e;)r[t]=0;return r}function di(n){for(var t,e=1,r=0,i=n[0][1],u=n.length;u>e;++e)(t=n[e][1])>i&&(r=e,i=t);return r}function yi(n){return n.reduce(mi,0)}function mi(n,t){return n+t[1]}function Mi(n,t){return xi(n,Math.ceil(Math.log(t.length)/Math.LN2+1))}function xi(n,t){for(var e=-1,r=+n[0],i=(n[1]-r)/t,u=[];++e<=t;)u[e]=i*e+r;return u}function bi(n){return[ao.min(n),ao.max(n)]}function _i(n,t){return n.value-t.value}function wi(n,t){var e=n._pack_next;n._pack_next=t,t._pack_prev=n,t._pack_next=e,e._pack_prev=t}function Si(n,t){n._pack_next=t,t._pack_prev=n}function ki(n,t){var e=t.x-n.x,r=t.y-n.y,i=n.r+t.r;return.999*i*i>e*e+r*r}function Ni(n){function t(n){f=Math.min(n.x-n.r,f),s=Math.max(n.x+n.r,s),h=Math.min(n.y-n.r,h),p=Math.max(n.y+n.r,p)}if((e=n.children)&&(c=e.length)){var e,r,i,u,o,a,l,c,f=1/0,s=-(1/0),h=1/0,p=-(1/0);if(e.forEach(Ei),r=e[0],r.x=-r.r,r.y=0,t(r),c>1&&(i=e[1],i.x=i.r,i.y=0,t(i),c>2))for(u=e[2],zi(r,i,u),t(u),wi(r,u),r._pack_prev=u,wi(u,i),i=r._pack_next,o=3;c>o;o++){zi(r,i,u=e[o]);var g=0,v=1,d=1;for(a=i._pack_next;a!==i;a=a._pack_next,v++)if(ki(a,u)){g=1;break}if(1==g)for(l=r._pack_prev;l!==a._pack_prev&&!ki(l,u);l=l._pack_prev,d++);g?(d>v||v==d&&i.r<r.r?Si(r,i=a):Si(r=l,i),o--):(wi(r,u),i=u,t(u))}var y=(f+s)/2,m=(h+p)/2,M=0;for(o=0;c>o;o++)u=e[o],u.x-=y,u.y-=m,M=Math.max(M,u.r+Math.sqrt(u.x*u.x+u.y*u.y));n.r=M,e.forEach(Ai)}}function Ei(n){n._pack_next=n._pack_prev=n}function Ai(n){delete n._pack_next,delete n._pack_prev}function Ci(n,t,e,r){var i=n.children;if(n.x=t+=r*n.x,n.y=e+=r*n.y,n.r*=r,i)for(var u=-1,o=i.length;++u<o;)Ci(i[u],t,e,r)}function zi(n,t,e){var r=n.r+e.r,i=t.x-n.x,u=t.y-n.y;if(r&&(i||u)){var o=t.r+e.r,a=i*i+u*u;o*=o,r*=r;var l=.5+(r-o)/(2*a),c=Math.sqrt(Math.max(0,2*o*(r+a)-(r-=a)*r-o*o))/(2*a);e.x=n.x+l*i+c*u,e.y=n.y+l*u-c*i}else e.x=n.x+r,e.y=n.y}function Li(n,t){return n.parent==t.parent?1:2}function qi(n){var t=n.children;return t.length?t[0]:n.t}function Ti(n){var t,e=n.children;return(t=e.length)?e[t-1]:n.t}function Ri(n,t,e){var r=e/(t.i-n.i);t.c-=r,t.s+=e,n.c+=r,t.z+=e,t.m+=e}function Di(n){for(var t,e=0,r=0,i=n.children,u=i.length;--u>=0;)t=i[u],t.z+=e,t.m+=e,e+=t.s+(r+=t.c)}function Pi(n,t,e){return n.a.parent===t.parent?n.a:e}function Ui(n){return 1+ao.max(n,function(n){return n.y})}function ji(n){return n.reduce(function(n,t){return n+t.x},0)/n.length}function Fi(n){var t=n.children;return t&&t.length?Fi(t[0]):n}function Hi(n){var t,e=n.children;return e&&(t=e.length)?Hi(e[t-1]):n}function Oi(n){return{x:n.x,y:n.y,dx:n.dx,dy:n.dy}}function Ii(n,t){var e=n.x+t[3],r=n.y+t[0],i=n.dx-t[1]-t[3],u=n.dy-t[0]-t[2];return 0>i&&(e+=i/2,i=0),0>u&&(r+=u/2,u=0),{x:e,y:r,dx:i,dy:u}}function Yi(n){var t=n[0],e=n[n.length-1];return e>t?[t,e]:[e,t]}function Zi(n){return n.rangeExtent?n.rangeExtent():Yi(n.range())}function Vi(n,t,e,r){var i=e(n[0],n[1]),u=r(t[0],t[1]);return function(n){return u(i(n))}}function Xi(n,t){var e,r=0,i=n.length-1,u=n[r],o=n[i];return u>o&&(e=r,r=i,i=e,e=u,u=o,o=e),n[r]=t.floor(u),n[i]=t.ceil(o),n}function $i(n){return n?{floor:function(t){return Math.floor(t/n)*n},ceil:function(t){return Math.ceil(t/n)*n}}:Sl}function Bi(n,t,e,r){var i=[],u=[],o=0,a=Math.min(n.length,t.length)-1;for(n[a]<n[0]&&(n=n.slice().reverse(),t=t.slice().reverse());++o<=a;)i.push(e(n[o-1],n[o])),u.push(r(t[o-1],t[o]));return function(t){var e=ao.bisect(n,t,1,a)-1;return u[e](i[e](t))}}function Wi(n,t,e,r){function i(){var i=Math.min(n.length,t.length)>2?Bi:Vi,l=r?Wr:Br;return o=i(n,t,l,e),a=i(t,n,l,Mr),u}function u(n){return o(n)}var o,a;return u.invert=function(n){return a(n)},u.domain=function(t){return arguments.length?(n=t.map(Number),i()):n},u.range=function(n){return arguments.length?(t=n,i()):t},u.rangeRound=function(n){return u.range(n).interpolate(Ur)},u.clamp=function(n){return arguments.length?(r=n,i()):r},u.interpolate=function(n){return arguments.length?(e=n,i()):e},u.ticks=function(t){return Qi(n,t)},u.tickFormat=function(t,e){return nu(n,t,e)},u.nice=function(t){return Gi(n,t),i()},u.copy=function(){return Wi(n,t,e,r)},i()}function Ji(n,t){return ao.rebind(n,t,"range","rangeRound","interpolate","clamp")}function Gi(n,t){return Xi(n,$i(Ki(n,t)[2])),Xi(n,$i(Ki(n,t)[2])),n}function Ki(n,t){null==t&&(t=10);var e=Yi(n),r=e[1]-e[0],i=Math.pow(10,Math.floor(Math.log(r/t)/Math.LN10)),u=t/r*i;return.15>=u?i*=10:.35>=u?i*=5:.75>=u&&(i*=2),e[0]=Math.ceil(e[0]/i)*i,e[1]=Math.floor(e[1]/i)*i+.5*i,e[2]=i,e}function Qi(n,t){return ao.range.apply(ao,Ki(n,t))}function nu(n,t,e){var r=Ki(n,t);if(e){var i=ha.exec(e);if(i.shift(),"s"===i[8]){var u=ao.formatPrefix(Math.max(xo(r[0]),xo(r[1])));return i[7]||(i[7]="."+tu(u.scale(r[2]))),i[8]="f",e=ao.format(i.join("")),function(n){return e(u.scale(n))+u.symbol}}i[7]||(i[7]="."+eu(i[8],r)),e=i.join("")}else e=",."+tu(r[2])+"f";return ao.format(e)}function tu(n){return-Math.floor(Math.log(n)/Math.LN10+.01)}function eu(n,t){var e=tu(t[2]);return n in kl?Math.abs(e-tu(Math.max(xo(t[0]),xo(t[1]))))+ +("e"!==n):e-2*("%"===n)}function ru(n,t,e,r){function i(n){return(e?Math.log(0>n?0:n):-Math.log(n>0?0:-n))/Math.log(t)}function u(n){return e?Math.pow(t,n):-Math.pow(t,-n)}function o(t){return n(i(t))}return o.invert=function(t){return u(n.invert(t))},o.domain=function(t){return arguments.length?(e=t[0]>=0,n.domain((r=t.map(Number)).map(i)),o):r},o.base=function(e){return arguments.length?(t=+e,n.domain(r.map(i)),o):t},o.nice=function(){var t=Xi(r.map(i),e?Math:El);return n.domain(t),r=t.map(u),o},o.ticks=function(){var n=Yi(r),o=[],a=n[0],l=n[1],c=Math.floor(i(a)),f=Math.ceil(i(l)),s=t%1?2:t;if(isFinite(f-c)){if(e){for(;f>c;c++)for(var h=1;s>h;h++)o.push(u(c)*h);o.push(u(c))}else for(o.push(u(c));c++<f;)for(var h=s-1;h>0;h--)o.push(u(c)*h);for(c=0;o[c]<a;c++);for(f=o.length;o[f-1]>l;f--);o=o.slice(c,f)}return o},o.tickFormat=function(n,e){if(!arguments.length)return Nl;arguments.length<2?e=Nl:"function"!=typeof e&&(e=ao.format(e));var r=Math.max(1,t*n/o.ticks().length);return function(n){var o=n/u(Math.round(i(n)));return t-.5>o*t&&(o*=t),r>=o?e(n):""}},o.copy=function(){return ru(n.copy(),t,e,r)},Ji(o,n)}function iu(n,t,e){function r(t){return n(i(t))}var i=uu(t),u=uu(1/t);return r.invert=function(t){return u(n.invert(t))},r.domain=function(t){return arguments.length?(n.domain((e=t.map(Number)).map(i)),r):e},r.ticks=function(n){return Qi(e,n)},r.tickFormat=function(n,t){return nu(e,n,t)},r.nice=function(n){return r.domain(Gi(e,n))},r.exponent=function(o){return arguments.length?(i=uu(t=o),u=uu(1/t),n.domain(e.map(i)),r):t},r.copy=function(){return iu(n.copy(),t,e)},Ji(r,n)}function uu(n){return function(t){return 0>t?-Math.pow(-t,n):Math.pow(t,n)}}function ou(n,t){function e(e){return u[((i.get(e)||("range"===t.t?i.set(e,n.push(e)):NaN))-1)%u.length]}function r(t,e){return ao.range(n.length).map(function(n){return t+e*n})}var i,u,o;return e.domain=function(r){if(!arguments.length)return n;n=[],i=new c;for(var u,o=-1,a=r.length;++o<a;)i.has(u=r[o])||i.set(u,n.push(u));return e[t.t].apply(e,t.a)},e.range=function(n){return arguments.length?(u=n,o=0,t={t:"range",a:arguments},e):u},e.rangePoints=function(i,a){arguments.length<2&&(a=0);var l=i[0],c=i[1],f=n.length<2?(l=(l+c)/2,0):(c-l)/(n.length-1+a);return u=r(l+f*a/2,f),o=0,t={t:"rangePoints",a:arguments},e},e.rangeRoundPoints=function(i,a){arguments.length<2&&(a=0);var l=i[0],c=i[1],f=n.length<2?(l=c=Math.round((l+c)/2),0):(c-l)/(n.length-1+a)|0;return u=r(l+Math.round(f*a/2+(c-l-(n.length-1+a)*f)/2),f),o=0,t={t:"rangeRoundPoints",a:arguments},e},e.rangeBands=function(i,a,l){arguments.length<2&&(a=0),arguments.length<3&&(l=a);var c=i[1]<i[0],f=i[c-0],s=i[1-c],h=(s-f)/(n.length-a+2*l);return u=r(f+h*l,h),c&&u.reverse(),o=h*(1-a),t={t:"rangeBands",a:arguments},e},e.rangeRoundBands=function(i,a,l){arguments.length<2&&(a=0),arguments.length<3&&(l=a);var c=i[1]<i[0],f=i[c-0],s=i[1-c],h=Math.floor((s-f)/(n.length-a+2*l));return u=r(f+Math.round((s-f-(n.length-a)*h)/2),h),c&&u.reverse(),o=Math.round(h*(1-a)),t={t:"rangeRoundBands",a:arguments},e},e.rangeBand=function(){return o},e.rangeExtent=function(){return Yi(t.a[0])},e.copy=function(){return ou(n,t)},e.domain(n)}function au(n,t){function u(){var e=0,r=t.length;for(a=[];++e<r;)a[e-1]=ao.quantile(n,e/r);return o}function o(n){return isNaN(n=+n)?void 0:t[ao.bisect(a,n)]}var a;return o.domain=function(t){return arguments.length?(n=t.map(r).filter(i).sort(e),u()):n},o.range=function(n){return arguments.length?(t=n,u()):t},o.quantiles=function(){return a},o.invertExtent=function(e){return e=t.indexOf(e),0>e?[NaN,NaN]:[e>0?a[e-1]:n[0],e<a.length?a[e]:n[n.length-1]]},o.copy=function(){return au(n,t)},u()}function lu(n,t,e){function r(t){return e[Math.max(0,Math.min(o,Math.floor(u*(t-n))))]}function i(){return u=e.length/(t-n),o=e.length-1,r}var u,o;return r.domain=function(e){return arguments.length?(n=+e[0],t=+e[e.length-1],i()):[n,t]},r.range=function(n){return arguments.length?(e=n,i()):e},r.invertExtent=function(t){return t=e.indexOf(t),t=0>t?NaN:t/u+n,[t,t+1/u]},r.copy=function(){return lu(n,t,e)},i()}function cu(n,t){function e(e){return e>=e?t[ao.bisect(n,e)]:void 0}return e.domain=function(t){return arguments.length?(n=t,e):n},e.range=function(n){return arguments.length?(t=n,e):t},e.invertExtent=function(e){return e=t.indexOf(e),[n[e-1],n[e]]},e.copy=function(){return cu(n,t)},e}function fu(n){function t(n){return+n}return t.invert=t,t.domain=t.range=function(e){return arguments.length?(n=e.map(t),t):n},t.ticks=function(t){return Qi(n,t)},t.tickFormat=function(t,e){return nu(n,t,e)},t.copy=function(){return fu(n)},t}function su(){return 0}function hu(n){return n.innerRadius}function pu(n){return n.outerRadius}function gu(n){return n.startAngle}function vu(n){return n.endAngle}function du(n){return n&&n.padAngle}function yu(n,t,e,r){return(n-e)*t-(t-r)*n>0?0:1}function mu(n,t,e,r,i){var u=n[0]-t[0],o=n[1]-t[1],a=(i?r:-r)/Math.sqrt(u*u+o*o),l=a*o,c=-a*u,f=n[0]+l,s=n[1]+c,h=t[0]+l,p=t[1]+c,g=(f+h)/2,v=(s+p)/2,d=h-f,y=p-s,m=d*d+y*y,M=e-r,x=f*p-h*s,b=(0>y?-1:1)*Math.sqrt(Math.max(0,M*M*m-x*x)),_=(x*y-d*b)/m,w=(-x*d-y*b)/m,S=(x*y+d*b)/m,k=(-x*d+y*b)/m,N=_-g,E=w-v,A=S-g,C=k-v;return N*N+E*E>A*A+C*C&&(_=S,w=k),[[_-l,w-c],[_*e/M,w*e/M]]}function Mu(n){function t(t){function o(){c.push("M",u(n(f),a))}for(var l,c=[],f=[],s=-1,h=t.length,p=En(e),g=En(r);++s<h;)i.call(this,l=t[s],s)?f.push([+p.call(this,l,s),+g.call(this,l,s)]):f.length&&(o(),f=[]);return f.length&&o(),c.length?c.join(""):null}var e=Ce,r=ze,i=zt,u=xu,o=u.key,a=.7;return t.x=function(n){return arguments.length?(e=n,t):e},t.y=function(n){return arguments.length?(r=n,t):r},t.defined=function(n){return arguments.length?(i=n,t):i},t.interpolate=function(n){return arguments.length?(o="function"==typeof n?u=n:(u=Tl.get(n)||xu).key,t):o},t.tension=function(n){return arguments.length?(a=n,t):a},t}function xu(n){return n.length>1?n.join("L"):n+"Z"}function bu(n){return n.join("L")+"Z"}function _u(n){for(var t=0,e=n.length,r=n[0],i=[r[0],",",r[1]];++t<e;)i.push("H",(r[0]+(r=n[t])[0])/2,"V",r[1]);return e>1&&i.push("H",r[0]),i.join("")}function wu(n){for(var t=0,e=n.length,r=n[0],i=[r[0],",",r[1]];++t<e;)i.push("V",(r=n[t])[1],"H",r[0]);return i.join("")}function Su(n){for(var t=0,e=n.length,r=n[0],i=[r[0],",",r[1]];++t<e;)i.push("H",(r=n[t])[0],"V",r[1]);return i.join("")}function ku(n,t){return n.length<4?xu(n):n[1]+Au(n.slice(1,-1),Cu(n,t))}function Nu(n,t){return n.length<3?bu(n):n[0]+Au((n.push(n[0]),n),Cu([n[n.length-2]].concat(n,[n[1]]),t))}function Eu(n,t){return n.length<3?xu(n):n[0]+Au(n,Cu(n,t))}function Au(n,t){if(t.length<1||n.length!=t.length&&n.length!=t.length+2)return xu(n);var e=n.length!=t.length,r="",i=n[0],u=n[1],o=t[0],a=o,l=1;if(e&&(r+="Q"+(u[0]-2*o[0]/3)+","+(u[1]-2*o[1]/3)+","+u[0]+","+u[1],i=n[1],l=2),t.length>1){a=t[1],u=n[l],l++,r+="C"+(i[0]+o[0])+","+(i[1]+o[1])+","+(u[0]-a[0])+","+(u[1]-a[1])+","+u[0]+","+u[1];for(var c=2;c<t.length;c++,l++)u=n[l],a=t[c],r+="S"+(u[0]-a[0])+","+(u[1]-a[1])+","+u[0]+","+u[1]}if(e){var f=n[l];r+="Q"+(u[0]+2*a[0]/3)+","+(u[1]+2*a[1]/3)+","+f[0]+","+f[1]}return r}function Cu(n,t){for(var e,r=[],i=(1-t)/2,u=n[0],o=n[1],a=1,l=n.length;++a<l;)e=u,u=o,o=n[a],r.push([i*(o[0]-e[0]),i*(o[1]-e[1])]);return r}function zu(n){if(n.length<3)return xu(n);var t=1,e=n.length,r=n[0],i=r[0],u=r[1],o=[i,i,i,(r=n[1])[0]],a=[u,u,u,r[1]],l=[i,",",u,"L",Ru(Pl,o),",",Ru(Pl,a)];for(n.push(n[e-1]);++t<=e;)r=n[t],o.shift(),o.push(r[0]),a.shift(),a.push(r[1]),Du(l,o,a);return n.pop(),l.push("L",r),l.join("")}function Lu(n){if(n.length<4)return xu(n);for(var t,e=[],r=-1,i=n.length,u=[0],o=[0];++r<3;)t=n[r],u.push(t[0]),o.push(t[1]);for(e.push(Ru(Pl,u)+","+Ru(Pl,o)),--r;++r<i;)t=n[r],u.shift(),u.push(t[0]),o.shift(),o.push(t[1]),Du(e,u,o);return e.join("")}function qu(n){for(var t,e,r=-1,i=n.length,u=i+4,o=[],a=[];++r<4;)e=n[r%i],o.push(e[0]),a.push(e[1]);for(t=[Ru(Pl,o),",",Ru(Pl,a)],--r;++r<u;)e=n[r%i],o.shift(),o.push(e[0]),a.shift(),a.push(e[1]),Du(t,o,a);return t.join("")}function Tu(n,t){var e=n.length-1;if(e)for(var r,i,u=n[0][0],o=n[0][1],a=n[e][0]-u,l=n[e][1]-o,c=-1;++c<=e;)r=n[c],i=c/e,r[0]=t*r[0]+(1-t)*(u+i*a),r[1]=t*r[1]+(1-t)*(o+i*l);return zu(n)}function Ru(n,t){return n[0]*t[0]+n[1]*t[1]+n[2]*t[2]+n[3]*t[3]}function Du(n,t,e){n.push("C",Ru(Rl,t),",",Ru(Rl,e),",",Ru(Dl,t),",",Ru(Dl,e),",",Ru(Pl,t),",",Ru(Pl,e))}function Pu(n,t){return(t[1]-n[1])/(t[0]-n[0])}function Uu(n){for(var t=0,e=n.length-1,r=[],i=n[0],u=n[1],o=r[0]=Pu(i,u);++t<e;)r[t]=(o+(o=Pu(i=u,u=n[t+1])))/2;return r[t]=o,r}function ju(n){for(var t,e,r,i,u=[],o=Uu(n),a=-1,l=n.length-1;++a<l;)t=Pu(n[a],n[a+1]),xo(t)<Uo?o[a]=o[a+1]=0:(e=o[a]/t,r=o[a+1]/t,i=e*e+r*r,i>9&&(i=3*t/Math.sqrt(i),o[a]=i*e,o[a+1]=i*r));for(a=-1;++a<=l;)i=(n[Math.min(l,a+1)][0]-n[Math.max(0,a-1)][0])/(6*(1+o[a]*o[a])),u.push([i||0,o[a]*i||0]);return u}function Fu(n){return n.length<3?xu(n):n[0]+Au(n,ju(n))}function Hu(n){for(var t,e,r,i=-1,u=n.length;++i<u;)t=n[i],e=t[0],r=t[1]-Io,t[0]=e*Math.cos(r),t[1]=e*Math.sin(r);return n}function Ou(n){function t(t){function l(){v.push("M",a(n(y),s),f,c(n(d.reverse()),s),"Z")}for(var h,p,g,v=[],d=[],y=[],m=-1,M=t.length,x=En(e),b=En(i),_=e===r?function(){
return p}:En(r),w=i===u?function(){return g}:En(u);++m<M;)o.call(this,h=t[m],m)?(d.push([p=+x.call(this,h,m),g=+b.call(this,h,m)]),y.push([+_.call(this,h,m),+w.call(this,h,m)])):d.length&&(l(),d=[],y=[]);return d.length&&l(),v.length?v.join(""):null}var e=Ce,r=Ce,i=0,u=ze,o=zt,a=xu,l=a.key,c=a,f="L",s=.7;return t.x=function(n){return arguments.length?(e=r=n,t):r},t.x0=function(n){return arguments.length?(e=n,t):e},t.x1=function(n){return arguments.length?(r=n,t):r},t.y=function(n){return arguments.length?(i=u=n,t):u},t.y0=function(n){return arguments.length?(i=n,t):i},t.y1=function(n){return arguments.length?(u=n,t):u},t.defined=function(n){return arguments.length?(o=n,t):o},t.interpolate=function(n){return arguments.length?(l="function"==typeof n?a=n:(a=Tl.get(n)||xu).key,c=a.reverse||a,f=a.closed?"M":"L",t):l},t.tension=function(n){return arguments.length?(s=n,t):s},t}function Iu(n){return n.radius}function Yu(n){return[n.x,n.y]}function Zu(n){return function(){var t=n.apply(this,arguments),e=t[0],r=t[1]-Io;return[e*Math.cos(r),e*Math.sin(r)]}}function Vu(){return 64}function Xu(){return"circle"}function $u(n){var t=Math.sqrt(n/Fo);return"M0,"+t+"A"+t+","+t+" 0 1,1 0,"+-t+"A"+t+","+t+" 0 1,1 0,"+t+"Z"}function Bu(n){return function(){var t,e,r;(t=this[n])&&(r=t[e=t.active])&&(r.timer.c=null,r.timer.t=NaN,--t.count?delete t[e]:delete this[n],t.active+=.5,r.event&&r.event.interrupt.call(this,this.__data__,r.index))}}function Wu(n,t,e){return ko(n,Yl),n.namespace=t,n.id=e,n}function Ju(n,t,e,r){var i=n.id,u=n.namespace;return Y(n,"function"==typeof e?function(n,o,a){n[u][i].tween.set(t,r(e.call(n,n.__data__,o,a)))}:(e=r(e),function(n){n[u][i].tween.set(t,e)}))}function Gu(n){return null==n&&(n=""),function(){this.textContent=n}}function Ku(n){return null==n?"__transition__":"__transition_"+n+"__"}function Qu(n,t,e,r,i){function u(n){var t=v.delay;return f.t=t+l,n>=t?o(n-t):void(f.c=o)}function o(e){var i=g.active,u=g[i];u&&(u.timer.c=null,u.timer.t=NaN,--g.count,delete g[i],u.event&&u.event.interrupt.call(n,n.__data__,u.index));for(var o in g)if(r>+o){var c=g[o];c.timer.c=null,c.timer.t=NaN,--g.count,delete g[o]}f.c=a,qn(function(){return f.c&&a(e||1)&&(f.c=null,f.t=NaN),1},0,l),g.active=r,v.event&&v.event.start.call(n,n.__data__,t),p=[],v.tween.forEach(function(e,r){(r=r.call(n,n.__data__,t))&&p.push(r)}),h=v.ease,s=v.duration}function a(i){for(var u=i/s,o=h(u),a=p.length;a>0;)p[--a].call(n,o);return u>=1?(v.event&&v.event.end.call(n,n.__data__,t),--g.count?delete g[r]:delete n[e],1):void 0}var l,f,s,h,p,g=n[e]||(n[e]={active:0,count:0}),v=g[r];v||(l=i.time,f=qn(u,0,l),v=g[r]={tween:new c,time:l,timer:f,delay:i.delay,duration:i.duration,ease:i.ease,index:t},i=null,++g.count)}function no(n,t,e){n.attr("transform",function(n){var r=t(n);return"translate("+(isFinite(r)?r:e(n))+",0)"})}function to(n,t,e){n.attr("transform",function(n){var r=t(n);return"translate(0,"+(isFinite(r)?r:e(n))+")"})}function eo(n){return n.toISOString()}function ro(n,t,e){function r(t){return n(t)}function i(n,e){var r=n[1]-n[0],i=r/e,u=ao.bisect(Kl,i);return u==Kl.length?[t.year,Ki(n.map(function(n){return n/31536e6}),e)[2]]:u?t[i/Kl[u-1]<Kl[u]/i?u-1:u]:[tc,Ki(n,e)[2]]}return r.invert=function(t){return io(n.invert(t))},r.domain=function(t){return arguments.length?(n.domain(t),r):n.domain().map(io)},r.nice=function(n,t){function e(e){return!isNaN(e)&&!n.range(e,io(+e+1),t).length}var u=r.domain(),o=Yi(u),a=null==n?i(o,10):"number"==typeof n&&i(o,n);return a&&(n=a[0],t=a[1]),r.domain(Xi(u,t>1?{floor:function(t){for(;e(t=n.floor(t));)t=io(t-1);return t},ceil:function(t){for(;e(t=n.ceil(t));)t=io(+t+1);return t}}:n))},r.ticks=function(n,t){var e=Yi(r.domain()),u=null==n?i(e,10):"number"==typeof n?i(e,n):!n.range&&[{range:n},t];return u&&(n=u[0],t=u[1]),n.range(e[0],io(+e[1]+1),1>t?1:t)},r.tickFormat=function(){return e},r.copy=function(){return ro(n.copy(),t,e)},Ji(r,n)}function io(n){return new Date(n)}function uo(n){return JSON.parse(n.responseText)}function oo(n){var t=fo.createRange();return t.selectNode(fo.body),t.createContextualFragment(n.responseText)}var ao={version:"3.5.17"},lo=[].slice,co=function(n){return lo.call(n)},fo=this.document;if(fo)try{co(fo.documentElement.childNodes)[0].nodeType}catch(so){co=function(n){for(var t=n.length,e=new Array(t);t--;)e[t]=n[t];return e}}if(Date.now||(Date.now=function(){return+new Date}),fo)try{fo.createElement("DIV").style.setProperty("opacity",0,"")}catch(ho){var po=this.Element.prototype,go=po.setAttribute,vo=po.setAttributeNS,yo=this.CSSStyleDeclaration.prototype,mo=yo.setProperty;po.setAttribute=function(n,t){go.call(this,n,t+"")},po.setAttributeNS=function(n,t,e){vo.call(this,n,t,e+"")},yo.setProperty=function(n,t,e){mo.call(this,n,t+"",e)}}ao.ascending=e,ao.descending=function(n,t){return n>t?-1:t>n?1:t>=n?0:NaN},ao.min=function(n,t){var e,r,i=-1,u=n.length;if(1===arguments.length){for(;++i<u;)if(null!=(r=n[i])&&r>=r){e=r;break}for(;++i<u;)null!=(r=n[i])&&e>r&&(e=r)}else{for(;++i<u;)if(null!=(r=t.call(n,n[i],i))&&r>=r){e=r;break}for(;++i<u;)null!=(r=t.call(n,n[i],i))&&e>r&&(e=r)}return e},ao.max=function(n,t){var e,r,i=-1,u=n.length;if(1===arguments.length){for(;++i<u;)if(null!=(r=n[i])&&r>=r){e=r;break}for(;++i<u;)null!=(r=n[i])&&r>e&&(e=r)}else{for(;++i<u;)if(null!=(r=t.call(n,n[i],i))&&r>=r){e=r;break}for(;++i<u;)null!=(r=t.call(n,n[i],i))&&r>e&&(e=r)}return e},ao.extent=function(n,t){var e,r,i,u=-1,o=n.length;if(1===arguments.length){for(;++u<o;)if(null!=(r=n[u])&&r>=r){e=i=r;break}for(;++u<o;)null!=(r=n[u])&&(e>r&&(e=r),r>i&&(i=r))}else{for(;++u<o;)if(null!=(r=t.call(n,n[u],u))&&r>=r){e=i=r;break}for(;++u<o;)null!=(r=t.call(n,n[u],u))&&(e>r&&(e=r),r>i&&(i=r))}return[e,i]},ao.sum=function(n,t){var e,r=0,u=n.length,o=-1;if(1===arguments.length)for(;++o<u;)i(e=+n[o])&&(r+=e);else for(;++o<u;)i(e=+t.call(n,n[o],o))&&(r+=e);return r},ao.mean=function(n,t){var e,u=0,o=n.length,a=-1,l=o;if(1===arguments.length)for(;++a<o;)i(e=r(n[a]))?u+=e:--l;else for(;++a<o;)i(e=r(t.call(n,n[a],a)))?u+=e:--l;return l?u/l:void 0},ao.quantile=function(n,t){var e=(n.length-1)*t+1,r=Math.floor(e),i=+n[r-1],u=e-r;return u?i+u*(n[r]-i):i},ao.median=function(n,t){var u,o=[],a=n.length,l=-1;if(1===arguments.length)for(;++l<a;)i(u=r(n[l]))&&o.push(u);else for(;++l<a;)i(u=r(t.call(n,n[l],l)))&&o.push(u);return o.length?ao.quantile(o.sort(e),.5):void 0},ao.variance=function(n,t){var e,u,o=n.length,a=0,l=0,c=-1,f=0;if(1===arguments.length)for(;++c<o;)i(e=r(n[c]))&&(u=e-a,a+=u/++f,l+=u*(e-a));else for(;++c<o;)i(e=r(t.call(n,n[c],c)))&&(u=e-a,a+=u/++f,l+=u*(e-a));return f>1?l/(f-1):void 0},ao.deviation=function(){var n=ao.variance.apply(this,arguments);return n?Math.sqrt(n):n};var Mo=u(e);ao.bisectLeft=Mo.left,ao.bisect=ao.bisectRight=Mo.right,ao.bisector=function(n){return u(1===n.length?function(t,r){return e(n(t),r)}:n)},ao.shuffle=function(n,t,e){(u=arguments.length)<3&&(e=n.length,2>u&&(t=0));for(var r,i,u=e-t;u;)i=Math.random()*u--|0,r=n[u+t],n[u+t]=n[i+t],n[i+t]=r;return n},ao.permute=function(n,t){for(var e=t.length,r=new Array(e);e--;)r[e]=n[t[e]];return r},ao.pairs=function(n){for(var t,e=0,r=n.length-1,i=n[0],u=new Array(0>r?0:r);r>e;)u[e]=[t=i,i=n[++e]];return u},ao.transpose=function(n){if(!(i=n.length))return[];for(var t=-1,e=ao.min(n,o),r=new Array(e);++t<e;)for(var i,u=-1,a=r[t]=new Array(i);++u<i;)a[u]=n[u][t];return r},ao.zip=function(){return ao.transpose(arguments)},ao.keys=function(n){var t=[];for(var e in n)t.push(e);return t},ao.values=function(n){var t=[];for(var e in n)t.push(n[e]);return t},ao.entries=function(n){var t=[];for(var e in n)t.push({key:e,value:n[e]});return t},ao.merge=function(n){for(var t,e,r,i=n.length,u=-1,o=0;++u<i;)o+=n[u].length;for(e=new Array(o);--i>=0;)for(r=n[i],t=r.length;--t>=0;)e[--o]=r[t];return e};var xo=Math.abs;ao.range=function(n,t,e){if(arguments.length<3&&(e=1,arguments.length<2&&(t=n,n=0)),(t-n)/e===1/0)throw new Error("infinite range");var r,i=[],u=a(xo(e)),o=-1;if(n*=u,t*=u,e*=u,0>e)for(;(r=n+e*++o)>t;)i.push(r/u);else for(;(r=n+e*++o)<t;)i.push(r/u);return i},ao.map=function(n,t){var e=new c;if(n instanceof c)n.forEach(function(n,t){e.set(n,t)});else if(Array.isArray(n)){var r,i=-1,u=n.length;if(1===arguments.length)for(;++i<u;)e.set(i,n[i]);else for(;++i<u;)e.set(t.call(n,r=n[i],i),r)}else for(var o in n)e.set(o,n[o]);return e};var bo="__proto__",_o="\x00";l(c,{has:h,get:function(n){return this._[f(n)]},set:function(n,t){return this._[f(n)]=t},remove:p,keys:g,values:function(){var n=[];for(var t in this._)n.push(this._[t]);return n},entries:function(){var n=[];for(var t in this._)n.push({key:s(t),value:this._[t]});return n},size:v,empty:d,forEach:function(n){for(var t in this._)n.call(this,s(t),this._[t])}}),ao.nest=function(){function n(t,o,a){if(a>=u.length)return r?r.call(i,o):e?o.sort(e):o;for(var l,f,s,h,p=-1,g=o.length,v=u[a++],d=new c;++p<g;)(h=d.get(l=v(f=o[p])))?h.push(f):d.set(l,[f]);return t?(f=t(),s=function(e,r){f.set(e,n(t,r,a))}):(f={},s=function(e,r){f[e]=n(t,r,a)}),d.forEach(s),f}function t(n,e){if(e>=u.length)return n;var r=[],i=o[e++];return n.forEach(function(n,i){r.push({key:n,values:t(i,e)})}),i?r.sort(function(n,t){return i(n.key,t.key)}):r}var e,r,i={},u=[],o=[];return i.map=function(t,e){return n(e,t,0)},i.entries=function(e){return t(n(ao.map,e,0),0)},i.key=function(n){return u.push(n),i},i.sortKeys=function(n){return o[u.length-1]=n,i},i.sortValues=function(n){return e=n,i},i.rollup=function(n){return r=n,i},i},ao.set=function(n){var t=new y;if(n)for(var e=0,r=n.length;r>e;++e)t.add(n[e]);return t},l(y,{has:h,add:function(n){return this._[f(n+="")]=!0,n},remove:p,values:g,size:v,empty:d,forEach:function(n){for(var t in this._)n.call(this,s(t))}}),ao.behavior={},ao.rebind=function(n,t){for(var e,r=1,i=arguments.length;++r<i;)n[e=arguments[r]]=M(n,t,t[e]);return n};var wo=["webkit","ms","moz","Moz","o","O"];ao.dispatch=function(){for(var n=new _,t=-1,e=arguments.length;++t<e;)n[arguments[t]]=w(n);return n},_.prototype.on=function(n,t){var e=n.indexOf("."),r="";if(e>=0&&(r=n.slice(e+1),n=n.slice(0,e)),n)return arguments.length<2?this[n].on(r):this[n].on(r,t);if(2===arguments.length){if(null==t)for(n in this)this.hasOwnProperty(n)&&this[n].on(r,null);return this}},ao.event=null,ao.requote=function(n){return n.replace(So,"\\$&")};var So=/[\\\^\$\*\+\?\|\[\]\(\)\.\{\}]/g,ko={}.__proto__?function(n,t){n.__proto__=t}:function(n,t){for(var e in t)n[e]=t[e]},No=function(n,t){return t.querySelector(n)},Eo=function(n,t){return t.querySelectorAll(n)},Ao=function(n,t){var e=n.matches||n[x(n,"matchesSelector")];return(Ao=function(n,t){return e.call(n,t)})(n,t)};"function"==typeof Sizzle&&(No=function(n,t){return Sizzle(n,t)[0]||null},Eo=Sizzle,Ao=Sizzle.matchesSelector),ao.selection=function(){return ao.select(fo.documentElement)};var Co=ao.selection.prototype=[];Co.select=function(n){var t,e,r,i,u=[];n=A(n);for(var o=-1,a=this.length;++o<a;){u.push(t=[]),t.parentNode=(r=this[o]).parentNode;for(var l=-1,c=r.length;++l<c;)(i=r[l])?(t.push(e=n.call(i,i.__data__,l,o)),e&&"__data__"in i&&(e.__data__=i.__data__)):t.push(null)}return E(u)},Co.selectAll=function(n){var t,e,r=[];n=C(n);for(var i=-1,u=this.length;++i<u;)for(var o=this[i],a=-1,l=o.length;++a<l;)(e=o[a])&&(r.push(t=co(n.call(e,e.__data__,a,i))),t.parentNode=e);return E(r)};var zo="http://www.w3.org/1999/xhtml",Lo={svg:"http://www.w3.org/2000/svg",xhtml:zo,xlink:"http://www.w3.org/1999/xlink",xml:"http://www.w3.org/XML/1998/namespace",xmlns:"http://www.w3.org/2000/xmlns/"};ao.ns={prefix:Lo,qualify:function(n){var t=n.indexOf(":"),e=n;return t>=0&&"xmlns"!==(e=n.slice(0,t))&&(n=n.slice(t+1)),Lo.hasOwnProperty(e)?{space:Lo[e],local:n}:n}},Co.attr=function(n,t){if(arguments.length<2){if("string"==typeof n){var e=this.node();return n=ao.ns.qualify(n),n.local?e.getAttributeNS(n.space,n.local):e.getAttribute(n)}for(t in n)this.each(z(t,n[t]));return this}return this.each(z(n,t))},Co.classed=function(n,t){if(arguments.length<2){if("string"==typeof n){var e=this.node(),r=(n=T(n)).length,i=-1;if(t=e.classList){for(;++i<r;)if(!t.contains(n[i]))return!1}else for(t=e.getAttribute("class");++i<r;)if(!q(n[i]).test(t))return!1;return!0}for(t in n)this.each(R(t,n[t]));return this}return this.each(R(n,t))},Co.style=function(n,e,r){var i=arguments.length;if(3>i){if("string"!=typeof n){2>i&&(e="");for(r in n)this.each(P(r,n[r],e));return this}if(2>i){var u=this.node();return t(u).getComputedStyle(u,null).getPropertyValue(n)}r=""}return this.each(P(n,e,r))},Co.property=function(n,t){if(arguments.length<2){if("string"==typeof n)return this.node()[n];for(t in n)this.each(U(t,n[t]));return this}return this.each(U(n,t))},Co.text=function(n){return arguments.length?this.each("function"==typeof n?function(){var t=n.apply(this,arguments);this.textContent=null==t?"":t}:null==n?function(){this.textContent=""}:function(){this.textContent=n}):this.node().textContent},Co.html=function(n){return arguments.length?this.each("function"==typeof n?function(){var t=n.apply(this,arguments);this.innerHTML=null==t?"":t}:null==n?function(){this.innerHTML=""}:function(){this.innerHTML=n}):this.node().innerHTML},Co.append=function(n){return n=j(n),this.select(function(){return this.appendChild(n.apply(this,arguments))})},Co.insert=function(n,t){return n=j(n),t=A(t),this.select(function(){return this.insertBefore(n.apply(this,arguments),t.apply(this,arguments)||null)})},Co.remove=function(){return this.each(F)},Co.data=function(n,t){function e(n,e){var r,i,u,o=n.length,s=e.length,h=Math.min(o,s),p=new Array(s),g=new Array(s),v=new Array(o);if(t){var d,y=new c,m=new Array(o);for(r=-1;++r<o;)(i=n[r])&&(y.has(d=t.call(i,i.__data__,r))?v[r]=i:y.set(d,i),m[r]=d);for(r=-1;++r<s;)(i=y.get(d=t.call(e,u=e[r],r)))?i!==!0&&(p[r]=i,i.__data__=u):g[r]=H(u),y.set(d,!0);for(r=-1;++r<o;)r in m&&y.get(m[r])!==!0&&(v[r]=n[r])}else{for(r=-1;++r<h;)i=n[r],u=e[r],i?(i.__data__=u,p[r]=i):g[r]=H(u);for(;s>r;++r)g[r]=H(e[r]);for(;o>r;++r)v[r]=n[r]}g.update=p,g.parentNode=p.parentNode=v.parentNode=n.parentNode,a.push(g),l.push(p),f.push(v)}var r,i,u=-1,o=this.length;if(!arguments.length){for(n=new Array(o=(r=this[0]).length);++u<o;)(i=r[u])&&(n[u]=i.__data__);return n}var a=Z([]),l=E([]),f=E([]);if("function"==typeof n)for(;++u<o;)e(r=this[u],n.call(r,r.parentNode.__data__,u));else for(;++u<o;)e(r=this[u],n);return l.enter=function(){return a},l.exit=function(){return f},l},Co.datum=function(n){return arguments.length?this.property("__data__",n):this.property("__data__")},Co.filter=function(n){var t,e,r,i=[];"function"!=typeof n&&(n=O(n));for(var u=0,o=this.length;o>u;u++){i.push(t=[]),t.parentNode=(e=this[u]).parentNode;for(var a=0,l=e.length;l>a;a++)(r=e[a])&&n.call(r,r.__data__,a,u)&&t.push(r)}return E(i)},Co.order=function(){for(var n=-1,t=this.length;++n<t;)for(var e,r=this[n],i=r.length-1,u=r[i];--i>=0;)(e=r[i])&&(u&&u!==e.nextSibling&&u.parentNode.insertBefore(e,u),u=e);return this},Co.sort=function(n){n=I.apply(this,arguments);for(var t=-1,e=this.length;++t<e;)this[t].sort(n);return this.order()},Co.each=function(n){return Y(this,function(t,e,r){n.call(t,t.__data__,e,r)})},Co.call=function(n){var t=co(arguments);return n.apply(t[0]=this,t),this},Co.empty=function(){return!this.node()},Co.node=function(){for(var n=0,t=this.length;t>n;n++)for(var e=this[n],r=0,i=e.length;i>r;r++){var u=e[r];if(u)return u}return null},Co.size=function(){var n=0;return Y(this,function(){++n}),n};var qo=[];ao.selection.enter=Z,ao.selection.enter.prototype=qo,qo.append=Co.append,qo.empty=Co.empty,qo.node=Co.node,qo.call=Co.call,qo.size=Co.size,qo.select=function(n){for(var t,e,r,i,u,o=[],a=-1,l=this.length;++a<l;){r=(i=this[a]).update,o.push(t=[]),t.parentNode=i.parentNode;for(var c=-1,f=i.length;++c<f;)(u=i[c])?(t.push(r[c]=e=n.call(i.parentNode,u.__data__,c,a)),e.__data__=u.__data__):t.push(null)}return E(o)},qo.insert=function(n,t){return arguments.length<2&&(t=V(this)),Co.insert.call(this,n,t)},ao.select=function(t){var e;return"string"==typeof t?(e=[No(t,fo)],e.parentNode=fo.documentElement):(e=[t],e.parentNode=n(t)),E([e])},ao.selectAll=function(n){var t;return"string"==typeof n?(t=co(Eo(n,fo)),t.parentNode=fo.documentElement):(t=co(n),t.parentNode=null),E([t])},Co.on=function(n,t,e){var r=arguments.length;if(3>r){if("string"!=typeof n){2>r&&(t=!1);for(e in n)this.each(X(e,n[e],t));return this}if(2>r)return(r=this.node()["__on"+n])&&r._;e=!1}return this.each(X(n,t,e))};var To=ao.map({mouseenter:"mouseover",mouseleave:"mouseout"});fo&&To.forEach(function(n){"on"+n in fo&&To.remove(n)});var Ro,Do=0;ao.mouse=function(n){return J(n,k())};var Po=this.navigator&&/WebKit/.test(this.navigator.userAgent)?-1:0;ao.touch=function(n,t,e){if(arguments.length<3&&(e=t,t=k().changedTouches),t)for(var r,i=0,u=t.length;u>i;++i)if((r=t[i]).identifier===e)return J(n,r)},ao.behavior.drag=function(){function n(){this.on("mousedown.drag",u).on("touchstart.drag",o)}function e(n,t,e,u,o){return function(){function a(){var n,e,r=t(h,v);r&&(n=r[0]-M[0],e=r[1]-M[1],g|=n|e,M=r,p({type:"drag",x:r[0]+c[0],y:r[1]+c[1],dx:n,dy:e}))}function l(){t(h,v)&&(y.on(u+d,null).on(o+d,null),m(g),p({type:"dragend"}))}var c,f=this,s=ao.event.target.correspondingElement||ao.event.target,h=f.parentNode,p=r.of(f,arguments),g=0,v=n(),d=".drag"+(null==v?"":"-"+v),y=ao.select(e(s)).on(u+d,a).on(o+d,l),m=W(s),M=t(h,v);i?(c=i.apply(f,arguments),c=[c.x-M[0],c.y-M[1]]):c=[0,0],p({type:"dragstart"})}}var r=N(n,"drag","dragstart","dragend"),i=null,u=e(b,ao.mouse,t,"mousemove","mouseup"),o=e(G,ao.touch,m,"touchmove","touchend");return n.origin=function(t){return arguments.length?(i=t,n):i},ao.rebind(n,r,"on")},ao.touches=function(n,t){return arguments.length<2&&(t=k().touches),t?co(t).map(function(t){var e=J(n,t);return e.identifier=t.identifier,e}):[]};var Uo=1e-6,jo=Uo*Uo,Fo=Math.PI,Ho=2*Fo,Oo=Ho-Uo,Io=Fo/2,Yo=Fo/180,Zo=180/Fo,Vo=Math.SQRT2,Xo=2,$o=4;ao.interpolateZoom=function(n,t){var e,r,i=n[0],u=n[1],o=n[2],a=t[0],l=t[1],c=t[2],f=a-i,s=l-u,h=f*f+s*s;if(jo>h)r=Math.log(c/o)/Vo,e=function(n){return[i+n*f,u+n*s,o*Math.exp(Vo*n*r)]};else{var p=Math.sqrt(h),g=(c*c-o*o+$o*h)/(2*o*Xo*p),v=(c*c-o*o-$o*h)/(2*c*Xo*p),d=Math.log(Math.sqrt(g*g+1)-g),y=Math.log(Math.sqrt(v*v+1)-v);r=(y-d)/Vo,e=function(n){var t=n*r,e=rn(d),a=o/(Xo*p)*(e*un(Vo*t+d)-en(d));return[i+a*f,u+a*s,o*e/rn(Vo*t+d)]}}return e.duration=1e3*r,e},ao.behavior.zoom=function(){function n(n){n.on(L,s).on(Wo+".zoom",p).on("dblclick.zoom",g).on(R,h)}function e(n){return[(n[0]-k.x)/k.k,(n[1]-k.y)/k.k]}function r(n){return[n[0]*k.k+k.x,n[1]*k.k+k.y]}function i(n){k.k=Math.max(A[0],Math.min(A[1],n))}function u(n,t){t=r(t),k.x+=n[0]-t[0],k.y+=n[1]-t[1]}function o(t,e,r,o){t.__chart__={x:k.x,y:k.y,k:k.k},i(Math.pow(2,o)),u(d=e,r),t=ao.select(t),C>0&&(t=t.transition().duration(C)),t.call(n.event)}function a(){b&&b.domain(x.range().map(function(n){return(n-k.x)/k.k}).map(x.invert)),w&&w.domain(_.range().map(function(n){return(n-k.y)/k.k}).map(_.invert))}function l(n){z++||n({type:"zoomstart"})}function c(n){a(),n({type:"zoom",scale:k.k,translate:[k.x,k.y]})}function f(n){--z||(n({type:"zoomend"}),d=null)}function s(){function n(){a=1,u(ao.mouse(i),h),c(o)}function r(){s.on(q,null).on(T,null),p(a),f(o)}var i=this,o=D.of(i,arguments),a=0,s=ao.select(t(i)).on(q,n).on(T,r),h=e(ao.mouse(i)),p=W(i);Il.call(i),l(o)}function h(){function n(){var n=ao.touches(g);return p=k.k,n.forEach(function(n){n.identifier in d&&(d[n.identifier]=e(n))}),n}function t(){var t=ao.event.target;ao.select(t).on(x,r).on(b,a),_.push(t);for(var e=ao.event.changedTouches,i=0,u=e.length;u>i;++i)d[e[i].identifier]=null;var l=n(),c=Date.now();if(1===l.length){if(500>c-M){var f=l[0];o(g,f,d[f.identifier],Math.floor(Math.log(k.k)/Math.LN2)+1),S()}M=c}else if(l.length>1){var f=l[0],s=l[1],h=f[0]-s[0],p=f[1]-s[1];y=h*h+p*p}}function r(){var n,t,e,r,o=ao.touches(g);Il.call(g);for(var a=0,l=o.length;l>a;++a,r=null)if(e=o[a],r=d[e.identifier]){if(t)break;n=e,t=r}if(r){var f=(f=e[0]-n[0])*f+(f=e[1]-n[1])*f,s=y&&Math.sqrt(f/y);n=[(n[0]+e[0])/2,(n[1]+e[1])/2],t=[(t[0]+r[0])/2,(t[1]+r[1])/2],i(s*p)}M=null,u(n,t),c(v)}function a(){if(ao.event.touches.length){for(var t=ao.event.changedTouches,e=0,r=t.length;r>e;++e)delete d[t[e].identifier];for(var i in d)return void n()}ao.selectAll(_).on(m,null),w.on(L,s).on(R,h),N(),f(v)}var p,g=this,v=D.of(g,arguments),d={},y=0,m=".zoom-"+ao.event.changedTouches[0].identifier,x="touchmove"+m,b="touchend"+m,_=[],w=ao.select(g),N=W(g);t(),l(v),w.on(L,null).on(R,t)}function p(){var n=D.of(this,arguments);m?clearTimeout(m):(Il.call(this),v=e(d=y||ao.mouse(this)),l(n)),m=setTimeout(function(){m=null,f(n)},50),S(),i(Math.pow(2,.002*Bo())*k.k),u(d,v),c(n)}function g(){var n=ao.mouse(this),t=Math.log(k.k)/Math.LN2;o(this,n,e(n),ao.event.shiftKey?Math.ceil(t)-1:Math.floor(t)+1)}var v,d,y,m,M,x,b,_,w,k={x:0,y:0,k:1},E=[960,500],A=Jo,C=250,z=0,L="mousedown.zoom",q="mousemove.zoom",T="mouseup.zoom",R="touchstart.zoom",D=N(n,"zoomstart","zoom","zoomend");return Wo||(Wo="onwheel"in fo?(Bo=function(){return-ao.event.deltaY*(ao.event.deltaMode?120:1)},"wheel"):"onmousewheel"in fo?(Bo=function(){return ao.event.wheelDelta},"mousewheel"):(Bo=function(){return-ao.event.detail},"MozMousePixelScroll")),n.event=function(n){n.each(function(){var n=D.of(this,arguments),t=k;Hl?ao.select(this).transition().each("start.zoom",function(){k=this.__chart__||{x:0,y:0,k:1},l(n)}).tween("zoom:zoom",function(){var e=E[0],r=E[1],i=d?d[0]:e/2,u=d?d[1]:r/2,o=ao.interpolateZoom([(i-k.x)/k.k,(u-k.y)/k.k,e/k.k],[(i-t.x)/t.k,(u-t.y)/t.k,e/t.k]);return function(t){var r=o(t),a=e/r[2];this.__chart__=k={x:i-r[0]*a,y:u-r[1]*a,k:a},c(n)}}).each("interrupt.zoom",function(){f(n)}).each("end.zoom",function(){f(n)}):(this.__chart__=k,l(n),c(n),f(n))})},n.translate=function(t){return arguments.length?(k={x:+t[0],y:+t[1],k:k.k},a(),n):[k.x,k.y]},n.scale=function(t){return arguments.length?(k={x:k.x,y:k.y,k:null},i(+t),a(),n):k.k},n.scaleExtent=function(t){return arguments.length?(A=null==t?Jo:[+t[0],+t[1]],n):A},n.center=function(t){return arguments.length?(y=t&&[+t[0],+t[1]],n):y},n.size=function(t){return arguments.length?(E=t&&[+t[0],+t[1]],n):E},n.duration=function(t){return arguments.length?(C=+t,n):C},n.x=function(t){return arguments.length?(b=t,x=t.copy(),k={x:0,y:0,k:1},n):b},n.y=function(t){return arguments.length?(w=t,_=t.copy(),k={x:0,y:0,k:1},n):w},ao.rebind(n,D,"on")};var Bo,Wo,Jo=[0,1/0];ao.color=an,an.prototype.toString=function(){return this.rgb()+""},ao.hsl=ln;var Go=ln.prototype=new an;Go.brighter=function(n){return n=Math.pow(.7,arguments.length?n:1),new ln(this.h,this.s,this.l/n)},Go.darker=function(n){return n=Math.pow(.7,arguments.length?n:1),new ln(this.h,this.s,n*this.l)},Go.rgb=function(){return cn(this.h,this.s,this.l)},ao.hcl=fn;var Ko=fn.prototype=new an;Ko.brighter=function(n){return new fn(this.h,this.c,Math.min(100,this.l+Qo*(arguments.length?n:1)))},Ko.darker=function(n){return new fn(this.h,this.c,Math.max(0,this.l-Qo*(arguments.length?n:1)))},Ko.rgb=function(){return sn(this.h,this.c,this.l).rgb()},ao.lab=hn;var Qo=18,na=.95047,ta=1,ea=1.08883,ra=hn.prototype=new an;ra.brighter=function(n){return new hn(Math.min(100,this.l+Qo*(arguments.length?n:1)),this.a,this.b)},ra.darker=function(n){return new hn(Math.max(0,this.l-Qo*(arguments.length?n:1)),this.a,this.b)},ra.rgb=function(){return pn(this.l,this.a,this.b)},ao.rgb=mn;var ia=mn.prototype=new an;ia.brighter=function(n){n=Math.pow(.7,arguments.length?n:1);var t=this.r,e=this.g,r=this.b,i=30;return t||e||r?(t&&i>t&&(t=i),e&&i>e&&(e=i),r&&i>r&&(r=i),new mn(Math.min(255,t/n),Math.min(255,e/n),Math.min(255,r/n))):new mn(i,i,i)},ia.darker=function(n){return n=Math.pow(.7,arguments.length?n:1),new mn(n*this.r,n*this.g,n*this.b)},ia.hsl=function(){return wn(this.r,this.g,this.b)},ia.toString=function(){return"#"+bn(this.r)+bn(this.g)+bn(this.b)};var ua=ao.map({aliceblue:15792383,antiquewhite:16444375,aqua:65535,aquamarine:8388564,azure:15794175,beige:16119260,bisque:16770244,black:0,blanchedalmond:16772045,blue:255,blueviolet:9055202,brown:10824234,burlywood:14596231,cadetblue:6266528,chartreuse:8388352,chocolate:13789470,coral:16744272,cornflowerblue:6591981,cornsilk:16775388,crimson:14423100,cyan:65535,darkblue:139,darkcyan:35723,darkgoldenrod:12092939,darkgray:11119017,darkgreen:25600,darkgrey:11119017,darkkhaki:12433259,darkmagenta:9109643,darkolivegreen:5597999,darkorange:16747520,darkorchid:10040012,darkred:9109504,darksalmon:15308410,darkseagreen:9419919,darkslateblue:4734347,darkslategray:3100495,darkslategrey:3100495,darkturquoise:52945,darkviolet:9699539,deeppink:16716947,deepskyblue:49151,dimgray:6908265,dimgrey:6908265,dodgerblue:2003199,firebrick:11674146,floralwhite:16775920,forestgreen:2263842,fuchsia:16711935,gainsboro:14474460,ghostwhite:16316671,gold:16766720,goldenrod:14329120,gray:8421504,green:32768,greenyellow:11403055,grey:8421504,honeydew:15794160,hotpink:16738740,indianred:13458524,indigo:4915330,ivory:16777200,khaki:15787660,lavender:15132410,lavenderblush:16773365,lawngreen:8190976,lemonchiffon:16775885,lightblue:11393254,lightcoral:15761536,lightcyan:14745599,lightgoldenrodyellow:16448210,lightgray:13882323,lightgreen:9498256,lightgrey:13882323,lightpink:16758465,lightsalmon:16752762,lightseagreen:2142890,lightskyblue:8900346,lightslategray:7833753,lightslategrey:7833753,lightsteelblue:11584734,lightyellow:16777184,lime:65280,limegreen:3329330,linen:16445670,magenta:16711935,maroon:8388608,mediumaquamarine:6737322,mediumblue:205,mediumorchid:12211667,mediumpurple:9662683,mediumseagreen:3978097,mediumslateblue:8087790,mediumspringgreen:64154,mediumturquoise:4772300,mediumvioletred:13047173,midnightblue:1644912,mintcream:16121850,mistyrose:16770273,moccasin:16770229,navajowhite:16768685,navy:128,oldlace:16643558,olive:8421376,olivedrab:7048739,orange:16753920,orangered:16729344,orchid:14315734,palegoldenrod:15657130,palegreen:10025880,paleturquoise:11529966,palevioletred:14381203,papayawhip:16773077,peachpuff:16767673,peru:13468991,pink:16761035,plum:14524637,powderblue:11591910,purple:8388736,rebeccapurple:6697881,red:16711680,rosybrown:12357519,royalblue:4286945,saddlebrown:9127187,salmon:16416882,sandybrown:16032864,seagreen:3050327,seashell:16774638,sienna:10506797,silver:12632256,skyblue:8900331,slateblue:6970061,slategray:7372944,slategrey:7372944,snow:16775930,springgreen:65407,steelblue:4620980,tan:13808780,teal:32896,thistle:14204888,tomato:16737095,turquoise:4251856,violet:15631086,wheat:16113331,white:16777215,whitesmoke:16119285,yellow:16776960,yellowgreen:10145074});ua.forEach(function(n,t){ua.set(n,Mn(t))}),ao.functor=En,ao.xhr=An(m),ao.dsv=function(n,t){function e(n,e,u){arguments.length<3&&(u=e,e=null);var o=Cn(n,t,null==e?r:i(e),u);return o.row=function(n){return arguments.length?o.response(null==(e=n)?r:i(n)):e},o}function r(n){return e.parse(n.responseText)}function i(n){return function(t){return e.parse(t.responseText,n)}}function u(t){return t.map(o).join(n)}function o(n){return a.test(n)?'"'+n.replace(/\"/g,'""')+'"':n}var a=new RegExp('["'+n+"\n]"),l=n.charCodeAt(0);return e.parse=function(n,t){var r;return e.parseRows(n,function(n,e){if(r)return r(n,e-1);var i=new Function("d","return {"+n.map(function(n,t){return JSON.stringify(n)+": d["+t+"]"}).join(",")+"}");r=t?function(n,e){return t(i(n),e)}:i})},e.parseRows=function(n,t){function e(){if(f>=c)return o;if(i)return i=!1,u;var t=f;if(34===n.charCodeAt(t)){for(var e=t;e++<c;)if(34===n.charCodeAt(e)){if(34!==n.charCodeAt(e+1))break;++e}f=e+2;var r=n.charCodeAt(e+1);return 13===r?(i=!0,10===n.charCodeAt(e+2)&&++f):10===r&&(i=!0),n.slice(t+1,e).replace(/""/g,'"')}for(;c>f;){var r=n.charCodeAt(f++),a=1;if(10===r)i=!0;else if(13===r)i=!0,10===n.charCodeAt(f)&&(++f,++a);else if(r!==l)continue;return n.slice(t,f-a)}return n.slice(t)}for(var r,i,u={},o={},a=[],c=n.length,f=0,s=0;(r=e())!==o;){for(var h=[];r!==u&&r!==o;)h.push(r),r=e();t&&null==(h=t(h,s++))||a.push(h)}return a},e.format=function(t){if(Array.isArray(t[0]))return e.formatRows(t);var r=new y,i=[];return t.forEach(function(n){for(var t in n)r.has(t)||i.push(r.add(t))}),[i.map(o).join(n)].concat(t.map(function(t){return i.map(function(n){return o(t[n])}).join(n)})).join("\n")},e.formatRows=function(n){return n.map(u).join("\n")},e},ao.csv=ao.dsv(",","text/csv"),ao.tsv=ao.dsv("	","text/tab-separated-values");var oa,aa,la,ca,fa=this[x(this,"requestAnimationFrame")]||function(n){setTimeout(n,17)};ao.timer=function(){qn.apply(this,arguments)},ao.timer.flush=function(){Rn(),Dn()},ao.round=function(n,t){return t?Math.round(n*(t=Math.pow(10,t)))/t:Math.round(n)};var sa=["y","z","a","f","p","n","\xb5","m","","k","M","G","T","P","E","Z","Y"].map(Un);ao.formatPrefix=function(n,t){var e=0;return(n=+n)&&(0>n&&(n*=-1),t&&(n=ao.round(n,Pn(n,t))),e=1+Math.floor(1e-12+Math.log(n)/Math.LN10),e=Math.max(-24,Math.min(24,3*Math.floor((e-1)/3)))),sa[8+e/3]};var ha=/(?:([^{])?([<>=^]))?([+\- ])?([$#])?(0)?(\d+)?(,)?(\.-?\d+)?([a-z%])?/i,pa=ao.map({b:function(n){return n.toString(2)},c:function(n){return String.fromCharCode(n)},o:function(n){return n.toString(8)},x:function(n){return n.toString(16)},X:function(n){return n.toString(16).toUpperCase()},g:function(n,t){return n.toPrecision(t)},e:function(n,t){return n.toExponential(t)},f:function(n,t){return n.toFixed(t)},r:function(n,t){return(n=ao.round(n,Pn(n,t))).toFixed(Math.max(0,Math.min(20,Pn(n*(1+1e-15),t))))}}),ga=ao.time={},va=Date;Hn.prototype={getDate:function(){return this._.getUTCDate()},getDay:function(){return this._.getUTCDay()},getFullYear:function(){return this._.getUTCFullYear()},getHours:function(){return this._.getUTCHours()},getMilliseconds:function(){return this._.getUTCMilliseconds()},getMinutes:function(){return this._.getUTCMinutes()},getMonth:function(){return this._.getUTCMonth()},getSeconds:function(){return this._.getUTCSeconds()},getTime:function(){return this._.getTime()},getTimezoneOffset:function(){return 0},valueOf:function(){return this._.valueOf()},setDate:function(){da.setUTCDate.apply(this._,arguments)},setDay:function(){da.setUTCDay.apply(this._,arguments)},setFullYear:function(){da.setUTCFullYear.apply(this._,arguments)},setHours:function(){da.setUTCHours.apply(this._,arguments)},setMilliseconds:function(){da.setUTCMilliseconds.apply(this._,arguments)},setMinutes:function(){da.setUTCMinutes.apply(this._,arguments)},setMonth:function(){da.setUTCMonth.apply(this._,arguments)},setSeconds:function(){da.setUTCSeconds.apply(this._,arguments)},setTime:function(){da.setTime.apply(this._,arguments)}};var da=Date.prototype;ga.year=On(function(n){return n=ga.day(n),n.setMonth(0,1),n},function(n,t){n.setFullYear(n.getFullYear()+t)},function(n){return n.getFullYear()}),ga.years=ga.year.range,ga.years.utc=ga.year.utc.range,ga.day=On(function(n){var t=new va(2e3,0);return t.setFullYear(n.getFullYear(),n.getMonth(),n.getDate()),t},function(n,t){n.setDate(n.getDate()+t)},function(n){return n.getDate()-1}),ga.days=ga.day.range,ga.days.utc=ga.day.utc.range,ga.dayOfYear=function(n){var t=ga.year(n);return Math.floor((n-t-6e4*(n.getTimezoneOffset()-t.getTimezoneOffset()))/864e5)},["sunday","monday","tuesday","wednesday","thursday","friday","saturday"].forEach(function(n,t){t=7-t;var e=ga[n]=On(function(n){return(n=ga.day(n)).setDate(n.getDate()-(n.getDay()+t)%7),n},function(n,t){n.setDate(n.getDate()+7*Math.floor(t))},function(n){var e=ga.year(n).getDay();return Math.floor((ga.dayOfYear(n)+(e+t)%7)/7)-(e!==t)});ga[n+"s"]=e.range,ga[n+"s"].utc=e.utc.range,ga[n+"OfYear"]=function(n){var e=ga.year(n).getDay();return Math.floor((ga.dayOfYear(n)+(e+t)%7)/7)}}),ga.week=ga.sunday,ga.weeks=ga.sunday.range,ga.weeks.utc=ga.sunday.utc.range,ga.weekOfYear=ga.sundayOfYear;var ya={"-":"",_:" ",0:"0"},ma=/^\s*\d+/,Ma=/^%/;ao.locale=function(n){return{numberFormat:jn(n),timeFormat:Yn(n)}};var xa=ao.locale({decimal:".",thousands:",",grouping:[3],currency:["$",""],dateTime:"%a %b %e %X %Y",date:"%m/%d/%Y",time:"%H:%M:%S",periods:["AM","PM"],days:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],
shortDays:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],months:["January","February","March","April","May","June","July","August","September","October","November","December"],shortMonths:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"]});ao.format=xa.numberFormat,ao.geo={},ft.prototype={s:0,t:0,add:function(n){st(n,this.t,ba),st(ba.s,this.s,this),this.s?this.t+=ba.t:this.s=ba.t},reset:function(){this.s=this.t=0},valueOf:function(){return this.s}};var ba=new ft;ao.geo.stream=function(n,t){n&&_a.hasOwnProperty(n.type)?_a[n.type](n,t):ht(n,t)};var _a={Feature:function(n,t){ht(n.geometry,t)},FeatureCollection:function(n,t){for(var e=n.features,r=-1,i=e.length;++r<i;)ht(e[r].geometry,t)}},wa={Sphere:function(n,t){t.sphere()},Point:function(n,t){n=n.coordinates,t.point(n[0],n[1],n[2])},MultiPoint:function(n,t){for(var e=n.coordinates,r=-1,i=e.length;++r<i;)n=e[r],t.point(n[0],n[1],n[2])},LineString:function(n,t){pt(n.coordinates,t,0)},MultiLineString:function(n,t){for(var e=n.coordinates,r=-1,i=e.length;++r<i;)pt(e[r],t,0)},Polygon:function(n,t){gt(n.coordinates,t)},MultiPolygon:function(n,t){for(var e=n.coordinates,r=-1,i=e.length;++r<i;)gt(e[r],t)},GeometryCollection:function(n,t){for(var e=n.geometries,r=-1,i=e.length;++r<i;)ht(e[r],t)}};ao.geo.area=function(n){return Sa=0,ao.geo.stream(n,Na),Sa};var Sa,ka=new ft,Na={sphere:function(){Sa+=4*Fo},point:b,lineStart:b,lineEnd:b,polygonStart:function(){ka.reset(),Na.lineStart=vt},polygonEnd:function(){var n=2*ka;Sa+=0>n?4*Fo+n:n,Na.lineStart=Na.lineEnd=Na.point=b}};ao.geo.bounds=function(){function n(n,t){M.push(x=[f=n,h=n]),s>t&&(s=t),t>p&&(p=t)}function t(t,e){var r=dt([t*Yo,e*Yo]);if(y){var i=mt(y,r),u=[i[1],-i[0],0],o=mt(u,i);bt(o),o=_t(o);var l=t-g,c=l>0?1:-1,v=o[0]*Zo*c,d=xo(l)>180;if(d^(v>c*g&&c*t>v)){var m=o[1]*Zo;m>p&&(p=m)}else if(v=(v+360)%360-180,d^(v>c*g&&c*t>v)){var m=-o[1]*Zo;s>m&&(s=m)}else s>e&&(s=e),e>p&&(p=e);d?g>t?a(f,t)>a(f,h)&&(h=t):a(t,h)>a(f,h)&&(f=t):h>=f?(f>t&&(f=t),t>h&&(h=t)):t>g?a(f,t)>a(f,h)&&(h=t):a(t,h)>a(f,h)&&(f=t)}else n(t,e);y=r,g=t}function e(){b.point=t}function r(){x[0]=f,x[1]=h,b.point=n,y=null}function i(n,e){if(y){var r=n-g;m+=xo(r)>180?r+(r>0?360:-360):r}else v=n,d=e;Na.point(n,e),t(n,e)}function u(){Na.lineStart()}function o(){i(v,d),Na.lineEnd(),xo(m)>Uo&&(f=-(h=180)),x[0]=f,x[1]=h,y=null}function a(n,t){return(t-=n)<0?t+360:t}function l(n,t){return n[0]-t[0]}function c(n,t){return t[0]<=t[1]?t[0]<=n&&n<=t[1]:n<t[0]||t[1]<n}var f,s,h,p,g,v,d,y,m,M,x,b={point:n,lineStart:e,lineEnd:r,polygonStart:function(){b.point=i,b.lineStart=u,b.lineEnd=o,m=0,Na.polygonStart()},polygonEnd:function(){Na.polygonEnd(),b.point=n,b.lineStart=e,b.lineEnd=r,0>ka?(f=-(h=180),s=-(p=90)):m>Uo?p=90:-Uo>m&&(s=-90),x[0]=f,x[1]=h}};return function(n){p=h=-(f=s=1/0),M=[],ao.geo.stream(n,b);var t=M.length;if(t){M.sort(l);for(var e,r=1,i=M[0],u=[i];t>r;++r)e=M[r],c(e[0],i)||c(e[1],i)?(a(i[0],e[1])>a(i[0],i[1])&&(i[1]=e[1]),a(e[0],i[1])>a(i[0],i[1])&&(i[0]=e[0])):u.push(i=e);for(var o,e,g=-(1/0),t=u.length-1,r=0,i=u[t];t>=r;i=e,++r)e=u[r],(o=a(i[1],e[0]))>g&&(g=o,f=e[0],h=i[1])}return M=x=null,f===1/0||s===1/0?[[NaN,NaN],[NaN,NaN]]:[[f,s],[h,p]]}}(),ao.geo.centroid=function(n){Ea=Aa=Ca=za=La=qa=Ta=Ra=Da=Pa=Ua=0,ao.geo.stream(n,ja);var t=Da,e=Pa,r=Ua,i=t*t+e*e+r*r;return jo>i&&(t=qa,e=Ta,r=Ra,Uo>Aa&&(t=Ca,e=za,r=La),i=t*t+e*e+r*r,jo>i)?[NaN,NaN]:[Math.atan2(e,t)*Zo,tn(r/Math.sqrt(i))*Zo]};var Ea,Aa,Ca,za,La,qa,Ta,Ra,Da,Pa,Ua,ja={sphere:b,point:St,lineStart:Nt,lineEnd:Et,polygonStart:function(){ja.lineStart=At},polygonEnd:function(){ja.lineStart=Nt}},Fa=Rt(zt,jt,Ht,[-Fo,-Fo/2]),Ha=1e9;ao.geo.clipExtent=function(){var n,t,e,r,i,u,o={stream:function(n){return i&&(i.valid=!1),i=u(n),i.valid=!0,i},extent:function(a){return arguments.length?(u=Zt(n=+a[0][0],t=+a[0][1],e=+a[1][0],r=+a[1][1]),i&&(i.valid=!1,i=null),o):[[n,t],[e,r]]}};return o.extent([[0,0],[960,500]])},(ao.geo.conicEqualArea=function(){return Vt(Xt)}).raw=Xt,ao.geo.albers=function(){return ao.geo.conicEqualArea().rotate([96,0]).center([-.6,38.7]).parallels([29.5,45.5]).scale(1070)},ao.geo.albersUsa=function(){function n(n){var u=n[0],o=n[1];return t=null,e(u,o),t||(r(u,o),t)||i(u,o),t}var t,e,r,i,u=ao.geo.albers(),o=ao.geo.conicEqualArea().rotate([154,0]).center([-2,58.5]).parallels([55,65]),a=ao.geo.conicEqualArea().rotate([157,0]).center([-3,19.9]).parallels([8,18]),l={point:function(n,e){t=[n,e]}};return n.invert=function(n){var t=u.scale(),e=u.translate(),r=(n[0]-e[0])/t,i=(n[1]-e[1])/t;return(i>=.12&&.234>i&&r>=-.425&&-.214>r?o:i>=.166&&.234>i&&r>=-.214&&-.115>r?a:u).invert(n)},n.stream=function(n){var t=u.stream(n),e=o.stream(n),r=a.stream(n);return{point:function(n,i){t.point(n,i),e.point(n,i),r.point(n,i)},sphere:function(){t.sphere(),e.sphere(),r.sphere()},lineStart:function(){t.lineStart(),e.lineStart(),r.lineStart()},lineEnd:function(){t.lineEnd(),e.lineEnd(),r.lineEnd()},polygonStart:function(){t.polygonStart(),e.polygonStart(),r.polygonStart()},polygonEnd:function(){t.polygonEnd(),e.polygonEnd(),r.polygonEnd()}}},n.precision=function(t){return arguments.length?(u.precision(t),o.precision(t),a.precision(t),n):u.precision()},n.scale=function(t){return arguments.length?(u.scale(t),o.scale(.35*t),a.scale(t),n.translate(u.translate())):u.scale()},n.translate=function(t){if(!arguments.length)return u.translate();var c=u.scale(),f=+t[0],s=+t[1];return e=u.translate(t).clipExtent([[f-.455*c,s-.238*c],[f+.455*c,s+.238*c]]).stream(l).point,r=o.translate([f-.307*c,s+.201*c]).clipExtent([[f-.425*c+Uo,s+.12*c+Uo],[f-.214*c-Uo,s+.234*c-Uo]]).stream(l).point,i=a.translate([f-.205*c,s+.212*c]).clipExtent([[f-.214*c+Uo,s+.166*c+Uo],[f-.115*c-Uo,s+.234*c-Uo]]).stream(l).point,n},n.scale(1070)};var Oa,Ia,Ya,Za,Va,Xa,$a={point:b,lineStart:b,lineEnd:b,polygonStart:function(){Ia=0,$a.lineStart=$t},polygonEnd:function(){$a.lineStart=$a.lineEnd=$a.point=b,Oa+=xo(Ia/2)}},Ba={point:Bt,lineStart:b,lineEnd:b,polygonStart:b,polygonEnd:b},Wa={point:Gt,lineStart:Kt,lineEnd:Qt,polygonStart:function(){Wa.lineStart=ne},polygonEnd:function(){Wa.point=Gt,Wa.lineStart=Kt,Wa.lineEnd=Qt}};ao.geo.path=function(){function n(n){return n&&("function"==typeof a&&u.pointRadius(+a.apply(this,arguments)),o&&o.valid||(o=i(u)),ao.geo.stream(n,o)),u.result()}function t(){return o=null,n}var e,r,i,u,o,a=4.5;return n.area=function(n){return Oa=0,ao.geo.stream(n,i($a)),Oa},n.centroid=function(n){return Ca=za=La=qa=Ta=Ra=Da=Pa=Ua=0,ao.geo.stream(n,i(Wa)),Ua?[Da/Ua,Pa/Ua]:Ra?[qa/Ra,Ta/Ra]:La?[Ca/La,za/La]:[NaN,NaN]},n.bounds=function(n){return Va=Xa=-(Ya=Za=1/0),ao.geo.stream(n,i(Ba)),[[Ya,Za],[Va,Xa]]},n.projection=function(n){return arguments.length?(i=(e=n)?n.stream||re(n):m,t()):e},n.context=function(n){return arguments.length?(u=null==(r=n)?new Wt:new te(n),"function"!=typeof a&&u.pointRadius(a),t()):r},n.pointRadius=function(t){return arguments.length?(a="function"==typeof t?t:(u.pointRadius(+t),+t),n):a},n.projection(ao.geo.albersUsa()).context(null)},ao.geo.transform=function(n){return{stream:function(t){var e=new ie(t);for(var r in n)e[r]=n[r];return e}}},ie.prototype={point:function(n,t){this.stream.point(n,t)},sphere:function(){this.stream.sphere()},lineStart:function(){this.stream.lineStart()},lineEnd:function(){this.stream.lineEnd()},polygonStart:function(){this.stream.polygonStart()},polygonEnd:function(){this.stream.polygonEnd()}},ao.geo.projection=oe,ao.geo.projectionMutator=ae,(ao.geo.equirectangular=function(){return oe(ce)}).raw=ce.invert=ce,ao.geo.rotation=function(n){function t(t){return t=n(t[0]*Yo,t[1]*Yo),t[0]*=Zo,t[1]*=Zo,t}return n=se(n[0]%360*Yo,n[1]*Yo,n.length>2?n[2]*Yo:0),t.invert=function(t){return t=n.invert(t[0]*Yo,t[1]*Yo),t[0]*=Zo,t[1]*=Zo,t},t},fe.invert=ce,ao.geo.circle=function(){function n(){var n="function"==typeof r?r.apply(this,arguments):r,t=se(-n[0]*Yo,-n[1]*Yo,0).invert,i=[];return e(null,null,1,{point:function(n,e){i.push(n=t(n,e)),n[0]*=Zo,n[1]*=Zo}}),{type:"Polygon",coordinates:[i]}}var t,e,r=[0,0],i=6;return n.origin=function(t){return arguments.length?(r=t,n):r},n.angle=function(r){return arguments.length?(e=ve((t=+r)*Yo,i*Yo),n):t},n.precision=function(r){return arguments.length?(e=ve(t*Yo,(i=+r)*Yo),n):i},n.angle(90)},ao.geo.distance=function(n,t){var e,r=(t[0]-n[0])*Yo,i=n[1]*Yo,u=t[1]*Yo,o=Math.sin(r),a=Math.cos(r),l=Math.sin(i),c=Math.cos(i),f=Math.sin(u),s=Math.cos(u);return Math.atan2(Math.sqrt((e=s*o)*e+(e=c*f-l*s*a)*e),l*f+c*s*a)},ao.geo.graticule=function(){function n(){return{type:"MultiLineString",coordinates:t()}}function t(){return ao.range(Math.ceil(u/d)*d,i,d).map(h).concat(ao.range(Math.ceil(c/y)*y,l,y).map(p)).concat(ao.range(Math.ceil(r/g)*g,e,g).filter(function(n){return xo(n%d)>Uo}).map(f)).concat(ao.range(Math.ceil(a/v)*v,o,v).filter(function(n){return xo(n%y)>Uo}).map(s))}var e,r,i,u,o,a,l,c,f,s,h,p,g=10,v=g,d=90,y=360,m=2.5;return n.lines=function(){return t().map(function(n){return{type:"LineString",coordinates:n}})},n.outline=function(){return{type:"Polygon",coordinates:[h(u).concat(p(l).slice(1),h(i).reverse().slice(1),p(c).reverse().slice(1))]}},n.extent=function(t){return arguments.length?n.majorExtent(t).minorExtent(t):n.minorExtent()},n.majorExtent=function(t){return arguments.length?(u=+t[0][0],i=+t[1][0],c=+t[0][1],l=+t[1][1],u>i&&(t=u,u=i,i=t),c>l&&(t=c,c=l,l=t),n.precision(m)):[[u,c],[i,l]]},n.minorExtent=function(t){return arguments.length?(r=+t[0][0],e=+t[1][0],a=+t[0][1],o=+t[1][1],r>e&&(t=r,r=e,e=t),a>o&&(t=a,a=o,o=t),n.precision(m)):[[r,a],[e,o]]},n.step=function(t){return arguments.length?n.majorStep(t).minorStep(t):n.minorStep()},n.majorStep=function(t){return arguments.length?(d=+t[0],y=+t[1],n):[d,y]},n.minorStep=function(t){return arguments.length?(g=+t[0],v=+t[1],n):[g,v]},n.precision=function(t){return arguments.length?(m=+t,f=ye(a,o,90),s=me(r,e,m),h=ye(c,l,90),p=me(u,i,m),n):m},n.majorExtent([[-180,-90+Uo],[180,90-Uo]]).minorExtent([[-180,-80-Uo],[180,80+Uo]])},ao.geo.greatArc=function(){function n(){return{type:"LineString",coordinates:[t||r.apply(this,arguments),e||i.apply(this,arguments)]}}var t,e,r=Me,i=xe;return n.distance=function(){return ao.geo.distance(t||r.apply(this,arguments),e||i.apply(this,arguments))},n.source=function(e){return arguments.length?(r=e,t="function"==typeof e?null:e,n):r},n.target=function(t){return arguments.length?(i=t,e="function"==typeof t?null:t,n):i},n.precision=function(){return arguments.length?n:0},n},ao.geo.interpolate=function(n,t){return be(n[0]*Yo,n[1]*Yo,t[0]*Yo,t[1]*Yo)},ao.geo.length=function(n){return Ja=0,ao.geo.stream(n,Ga),Ja};var Ja,Ga={sphere:b,point:b,lineStart:_e,lineEnd:b,polygonStart:b,polygonEnd:b},Ka=we(function(n){return Math.sqrt(2/(1+n))},function(n){return 2*Math.asin(n/2)});(ao.geo.azimuthalEqualArea=function(){return oe(Ka)}).raw=Ka;var Qa=we(function(n){var t=Math.acos(n);return t&&t/Math.sin(t)},m);(ao.geo.azimuthalEquidistant=function(){return oe(Qa)}).raw=Qa,(ao.geo.conicConformal=function(){return Vt(Se)}).raw=Se,(ao.geo.conicEquidistant=function(){return Vt(ke)}).raw=ke;var nl=we(function(n){return 1/n},Math.atan);(ao.geo.gnomonic=function(){return oe(nl)}).raw=nl,Ne.invert=function(n,t){return[n,2*Math.atan(Math.exp(t))-Io]},(ao.geo.mercator=function(){return Ee(Ne)}).raw=Ne;var tl=we(function(){return 1},Math.asin);(ao.geo.orthographic=function(){return oe(tl)}).raw=tl;var el=we(function(n){return 1/(1+n)},function(n){return 2*Math.atan(n)});(ao.geo.stereographic=function(){return oe(el)}).raw=el,Ae.invert=function(n,t){return[-t,2*Math.atan(Math.exp(n))-Io]},(ao.geo.transverseMercator=function(){var n=Ee(Ae),t=n.center,e=n.rotate;return n.center=function(n){return n?t([-n[1],n[0]]):(n=t(),[n[1],-n[0]])},n.rotate=function(n){return n?e([n[0],n[1],n.length>2?n[2]+90:90]):(n=e(),[n[0],n[1],n[2]-90])},e([0,0,90])}).raw=Ae,ao.geom={},ao.geom.hull=function(n){function t(n){if(n.length<3)return[];var t,i=En(e),u=En(r),o=n.length,a=[],l=[];for(t=0;o>t;t++)a.push([+i.call(this,n[t],t),+u.call(this,n[t],t),t]);for(a.sort(qe),t=0;o>t;t++)l.push([a[t][0],-a[t][1]]);var c=Le(a),f=Le(l),s=f[0]===c[0],h=f[f.length-1]===c[c.length-1],p=[];for(t=c.length-1;t>=0;--t)p.push(n[a[c[t]][2]]);for(t=+s;t<f.length-h;++t)p.push(n[a[f[t]][2]]);return p}var e=Ce,r=ze;return arguments.length?t(n):(t.x=function(n){return arguments.length?(e=n,t):e},t.y=function(n){return arguments.length?(r=n,t):r},t)},ao.geom.polygon=function(n){return ko(n,rl),n};var rl=ao.geom.polygon.prototype=[];rl.area=function(){for(var n,t=-1,e=this.length,r=this[e-1],i=0;++t<e;)n=r,r=this[t],i+=n[1]*r[0]-n[0]*r[1];return.5*i},rl.centroid=function(n){var t,e,r=-1,i=this.length,u=0,o=0,a=this[i-1];for(arguments.length||(n=-1/(6*this.area()));++r<i;)t=a,a=this[r],e=t[0]*a[1]-a[0]*t[1],u+=(t[0]+a[0])*e,o+=(t[1]+a[1])*e;return[u*n,o*n]},rl.clip=function(n){for(var t,e,r,i,u,o,a=De(n),l=-1,c=this.length-De(this),f=this[c-1];++l<c;){for(t=n.slice(),n.length=0,i=this[l],u=t[(r=t.length-a)-1],e=-1;++e<r;)o=t[e],Te(o,f,i)?(Te(u,f,i)||n.push(Re(u,o,f,i)),n.push(o)):Te(u,f,i)&&n.push(Re(u,o,f,i)),u=o;a&&n.push(n[0]),f=i}return n};var il,ul,ol,al,ll,cl=[],fl=[];Ye.prototype.prepare=function(){for(var n,t=this.edges,e=t.length;e--;)n=t[e].edge,n.b&&n.a||t.splice(e,1);return t.sort(Ve),t.length},tr.prototype={start:function(){return this.edge.l===this.site?this.edge.a:this.edge.b},end:function(){return this.edge.l===this.site?this.edge.b:this.edge.a}},er.prototype={insert:function(n,t){var e,r,i;if(n){if(t.P=n,t.N=n.N,n.N&&(n.N.P=t),n.N=t,n.R){for(n=n.R;n.L;)n=n.L;n.L=t}else n.R=t;e=n}else this._?(n=or(this._),t.P=null,t.N=n,n.P=n.L=t,e=n):(t.P=t.N=null,this._=t,e=null);for(t.L=t.R=null,t.U=e,t.C=!0,n=t;e&&e.C;)r=e.U,e===r.L?(i=r.R,i&&i.C?(e.C=i.C=!1,r.C=!0,n=r):(n===e.R&&(ir(this,e),n=e,e=n.U),e.C=!1,r.C=!0,ur(this,r))):(i=r.L,i&&i.C?(e.C=i.C=!1,r.C=!0,n=r):(n===e.L&&(ur(this,e),n=e,e=n.U),e.C=!1,r.C=!0,ir(this,r))),e=n.U;this._.C=!1},remove:function(n){n.N&&(n.N.P=n.P),n.P&&(n.P.N=n.N),n.N=n.P=null;var t,e,r,i=n.U,u=n.L,o=n.R;if(e=u?o?or(o):u:o,i?i.L===n?i.L=e:i.R=e:this._=e,u&&o?(r=e.C,e.C=n.C,e.L=u,u.U=e,e!==o?(i=e.U,e.U=n.U,n=e.R,i.L=n,e.R=o,o.U=e):(e.U=i,i=e,n=e.R)):(r=n.C,n=e),n&&(n.U=i),!r){if(n&&n.C)return void(n.C=!1);do{if(n===this._)break;if(n===i.L){if(t=i.R,t.C&&(t.C=!1,i.C=!0,ir(this,i),t=i.R),t.L&&t.L.C||t.R&&t.R.C){t.R&&t.R.C||(t.L.C=!1,t.C=!0,ur(this,t),t=i.R),t.C=i.C,i.C=t.R.C=!1,ir(this,i),n=this._;break}}else if(t=i.L,t.C&&(t.C=!1,i.C=!0,ur(this,i),t=i.L),t.L&&t.L.C||t.R&&t.R.C){t.L&&t.L.C||(t.R.C=!1,t.C=!0,ir(this,t),t=i.L),t.C=i.C,i.C=t.L.C=!1,ur(this,i),n=this._;break}t.C=!0,n=i,i=i.U}while(!n.C);n&&(n.C=!1)}}},ao.geom.voronoi=function(n){function t(n){var t=new Array(n.length),r=a[0][0],i=a[0][1],u=a[1][0],o=a[1][1];return ar(e(n),a).cells.forEach(function(e,a){var l=e.edges,c=e.site,f=t[a]=l.length?l.map(function(n){var t=n.start();return[t.x,t.y]}):c.x>=r&&c.x<=u&&c.y>=i&&c.y<=o?[[r,o],[u,o],[u,i],[r,i]]:[];f.point=n[a]}),t}function e(n){return n.map(function(n,t){return{x:Math.round(u(n,t)/Uo)*Uo,y:Math.round(o(n,t)/Uo)*Uo,i:t}})}var r=Ce,i=ze,u=r,o=i,a=sl;return n?t(n):(t.links=function(n){return ar(e(n)).edges.filter(function(n){return n.l&&n.r}).map(function(t){return{source:n[t.l.i],target:n[t.r.i]}})},t.triangles=function(n){var t=[];return ar(e(n)).cells.forEach(function(e,r){for(var i,u,o=e.site,a=e.edges.sort(Ve),l=-1,c=a.length,f=a[c-1].edge,s=f.l===o?f.r:f.l;++l<c;)i=f,u=s,f=a[l].edge,s=f.l===o?f.r:f.l,r<u.i&&r<s.i&&cr(o,u,s)<0&&t.push([n[r],n[u.i],n[s.i]])}),t},t.x=function(n){return arguments.length?(u=En(r=n),t):r},t.y=function(n){return arguments.length?(o=En(i=n),t):i},t.clipExtent=function(n){return arguments.length?(a=null==n?sl:n,t):a===sl?null:a},t.size=function(n){return arguments.length?t.clipExtent(n&&[[0,0],n]):a===sl?null:a&&a[1]},t)};var sl=[[-1e6,-1e6],[1e6,1e6]];ao.geom.delaunay=function(n){return ao.geom.voronoi().triangles(n)},ao.geom.quadtree=function(n,t,e,r,i){function u(n){function u(n,t,e,r,i,u,o,a){if(!isNaN(e)&&!isNaN(r))if(n.leaf){var l=n.x,f=n.y;if(null!=l)if(xo(l-e)+xo(f-r)<.01)c(n,t,e,r,i,u,o,a);else{var s=n.point;n.x=n.y=n.point=null,c(n,s,l,f,i,u,o,a),c(n,t,e,r,i,u,o,a)}else n.x=e,n.y=r,n.point=t}else c(n,t,e,r,i,u,o,a)}function c(n,t,e,r,i,o,a,l){var c=.5*(i+a),f=.5*(o+l),s=e>=c,h=r>=f,p=h<<1|s;n.leaf=!1,n=n.nodes[p]||(n.nodes[p]=hr()),s?i=c:a=c,h?o=f:l=f,u(n,t,e,r,i,o,a,l)}var f,s,h,p,g,v,d,y,m,M=En(a),x=En(l);if(null!=t)v=t,d=e,y=r,m=i;else if(y=m=-(v=d=1/0),s=[],h=[],g=n.length,o)for(p=0;g>p;++p)f=n[p],f.x<v&&(v=f.x),f.y<d&&(d=f.y),f.x>y&&(y=f.x),f.y>m&&(m=f.y),s.push(f.x),h.push(f.y);else for(p=0;g>p;++p){var b=+M(f=n[p],p),_=+x(f,p);v>b&&(v=b),d>_&&(d=_),b>y&&(y=b),_>m&&(m=_),s.push(b),h.push(_)}var w=y-v,S=m-d;w>S?m=d+w:y=v+S;var k=hr();if(k.add=function(n){u(k,n,+M(n,++p),+x(n,p),v,d,y,m)},k.visit=function(n){pr(n,k,v,d,y,m)},k.find=function(n){return gr(k,n[0],n[1],v,d,y,m)},p=-1,null==t){for(;++p<g;)u(k,n[p],s[p],h[p],v,d,y,m);--p}else n.forEach(k.add);return s=h=n=f=null,k}var o,a=Ce,l=ze;return(o=arguments.length)?(a=fr,l=sr,3===o&&(i=e,r=t,e=t=0),u(n)):(u.x=function(n){return arguments.length?(a=n,u):a},u.y=function(n){return arguments.length?(l=n,u):l},u.extent=function(n){return arguments.length?(null==n?t=e=r=i=null:(t=+n[0][0],e=+n[0][1],r=+n[1][0],i=+n[1][1]),u):null==t?null:[[t,e],[r,i]]},u.size=function(n){return arguments.length?(null==n?t=e=r=i=null:(t=e=0,r=+n[0],i=+n[1]),u):null==t?null:[r-t,i-e]},u)},ao.interpolateRgb=vr,ao.interpolateObject=dr,ao.interpolateNumber=yr,ao.interpolateString=mr;var hl=/[-+]?(?:\d+\.?\d*|\.?\d+)(?:[eE][-+]?\d+)?/g,pl=new RegExp(hl.source,"g");ao.interpolate=Mr,ao.interpolators=[function(n,t){var e=typeof t;return("string"===e?ua.has(t.toLowerCase())||/^(#|rgb\(|hsl\()/i.test(t)?vr:mr:t instanceof an?vr:Array.isArray(t)?xr:"object"===e&&isNaN(t)?dr:yr)(n,t)}],ao.interpolateArray=xr;var gl=function(){return m},vl=ao.map({linear:gl,poly:Er,quad:function(){return Sr},cubic:function(){return kr},sin:function(){return Ar},exp:function(){return Cr},circle:function(){return zr},elastic:Lr,back:qr,bounce:function(){return Tr}}),dl=ao.map({"in":m,out:_r,"in-out":wr,"out-in":function(n){return wr(_r(n))}});ao.ease=function(n){var t=n.indexOf("-"),e=t>=0?n.slice(0,t):n,r=t>=0?n.slice(t+1):"in";return e=vl.get(e)||gl,r=dl.get(r)||m,br(r(e.apply(null,lo.call(arguments,1))))},ao.interpolateHcl=Rr,ao.interpolateHsl=Dr,ao.interpolateLab=Pr,ao.interpolateRound=Ur,ao.transform=function(n){var t=fo.createElementNS(ao.ns.prefix.svg,"g");return(ao.transform=function(n){if(null!=n){t.setAttribute("transform",n);var e=t.transform.baseVal.consolidate()}return new jr(e?e.matrix:yl)})(n)},jr.prototype.toString=function(){return"translate("+this.translate+")rotate("+this.rotate+")skewX("+this.skew+")scale("+this.scale+")"};var yl={a:1,b:0,c:0,d:1,e:0,f:0};ao.interpolateTransform=$r,ao.layout={},ao.layout.bundle=function(){return function(n){for(var t=[],e=-1,r=n.length;++e<r;)t.push(Jr(n[e]));return t}},ao.layout.chord=function(){function n(){var n,c,s,h,p,g={},v=[],d=ao.range(u),y=[];for(e=[],r=[],n=0,h=-1;++h<u;){for(c=0,p=-1;++p<u;)c+=i[h][p];v.push(c),y.push(ao.range(u)),n+=c}for(o&&d.sort(function(n,t){return o(v[n],v[t])}),a&&y.forEach(function(n,t){n.sort(function(n,e){return a(i[t][n],i[t][e])})}),n=(Ho-f*u)/n,c=0,h=-1;++h<u;){for(s=c,p=-1;++p<u;){var m=d[h],M=y[m][p],x=i[m][M],b=c,_=c+=x*n;g[m+"-"+M]={index:m,subindex:M,startAngle:b,endAngle:_,value:x}}r[m]={index:m,startAngle:s,endAngle:c,value:v[m]},c+=f}for(h=-1;++h<u;)for(p=h-1;++p<u;){var w=g[h+"-"+p],S=g[p+"-"+h];(w.value||S.value)&&e.push(w.value<S.value?{source:S,target:w}:{source:w,target:S})}l&&t()}function t(){e.sort(function(n,t){return l((n.source.value+n.target.value)/2,(t.source.value+t.target.value)/2)})}var e,r,i,u,o,a,l,c={},f=0;return c.matrix=function(n){return arguments.length?(u=(i=n)&&i.length,e=r=null,c):i},c.padding=function(n){return arguments.length?(f=n,e=r=null,c):f},c.sortGroups=function(n){return arguments.length?(o=n,e=r=null,c):o},c.sortSubgroups=function(n){return arguments.length?(a=n,e=null,c):a},c.sortChords=function(n){return arguments.length?(l=n,e&&t(),c):l},c.chords=function(){return e||n(),e},c.groups=function(){return r||n(),r},c},ao.layout.force=function(){function n(n){return function(t,e,r,i){if(t.point!==n){var u=t.cx-n.x,o=t.cy-n.y,a=i-e,l=u*u+o*o;if(l>a*a/y){if(v>l){var c=t.charge/l;n.px-=u*c,n.py-=o*c}return!0}if(t.point&&l&&v>l){var c=t.pointCharge/l;n.px-=u*c,n.py-=o*c}}return!t.charge}}function t(n){n.px=ao.event.x,n.py=ao.event.y,l.resume()}var e,r,i,u,o,a,l={},c=ao.dispatch("start","tick","end"),f=[1,1],s=.9,h=ml,p=Ml,g=-30,v=xl,d=.1,y=.64,M=[],x=[];return l.tick=function(){if((i*=.99)<.005)return e=null,c.end({type:"end",alpha:i=0}),!0;var t,r,l,h,p,v,y,m,b,_=M.length,w=x.length;for(r=0;w>r;++r)l=x[r],h=l.source,p=l.target,m=p.x-h.x,b=p.y-h.y,(v=m*m+b*b)&&(v=i*o[r]*((v=Math.sqrt(v))-u[r])/v,m*=v,b*=v,p.x-=m*(y=h.weight+p.weight?h.weight/(h.weight+p.weight):.5),p.y-=b*y,h.x+=m*(y=1-y),h.y+=b*y);if((y=i*d)&&(m=f[0]/2,b=f[1]/2,r=-1,y))for(;++r<_;)l=M[r],l.x+=(m-l.x)*y,l.y+=(b-l.y)*y;if(g)for(ri(t=ao.geom.quadtree(M),i,a),r=-1;++r<_;)(l=M[r]).fixed||t.visit(n(l));for(r=-1;++r<_;)l=M[r],l.fixed?(l.x=l.px,l.y=l.py):(l.x-=(l.px-(l.px=l.x))*s,l.y-=(l.py-(l.py=l.y))*s);c.tick({type:"tick",alpha:i})},l.nodes=function(n){return arguments.length?(M=n,l):M},l.links=function(n){return arguments.length?(x=n,l):x},l.size=function(n){return arguments.length?(f=n,l):f},l.linkDistance=function(n){return arguments.length?(h="function"==typeof n?n:+n,l):h},l.distance=l.linkDistance,l.linkStrength=function(n){return arguments.length?(p="function"==typeof n?n:+n,l):p},l.friction=function(n){return arguments.length?(s=+n,l):s},l.charge=function(n){return arguments.length?(g="function"==typeof n?n:+n,l):g},l.chargeDistance=function(n){return arguments.length?(v=n*n,l):Math.sqrt(v)},l.gravity=function(n){return arguments.length?(d=+n,l):d},l.theta=function(n){return arguments.length?(y=n*n,l):Math.sqrt(y)},l.alpha=function(n){return arguments.length?(n=+n,i?n>0?i=n:(e.c=null,e.t=NaN,e=null,c.end({type:"end",alpha:i=0})):n>0&&(c.start({type:"start",alpha:i=n}),e=qn(l.tick)),l):i},l.start=function(){function n(n,r){if(!e){for(e=new Array(i),l=0;i>l;++l)e[l]=[];for(l=0;c>l;++l){var u=x[l];e[u.source.index].push(u.target),e[u.target.index].push(u.source)}}for(var o,a=e[t],l=-1,f=a.length;++l<f;)if(!isNaN(o=a[l][n]))return o;return Math.random()*r}var t,e,r,i=M.length,c=x.length,s=f[0],v=f[1];for(t=0;i>t;++t)(r=M[t]).index=t,r.weight=0;for(t=0;c>t;++t)r=x[t],"number"==typeof r.source&&(r.source=M[r.source]),"number"==typeof r.target&&(r.target=M[r.target]),++r.source.weight,++r.target.weight;for(t=0;i>t;++t)r=M[t],isNaN(r.x)&&(r.x=n("x",s)),isNaN(r.y)&&(r.y=n("y",v)),isNaN(r.px)&&(r.px=r.x),isNaN(r.py)&&(r.py=r.y);if(u=[],"function"==typeof h)for(t=0;c>t;++t)u[t]=+h.call(this,x[t],t);else for(t=0;c>t;++t)u[t]=h;if(o=[],"function"==typeof p)for(t=0;c>t;++t)o[t]=+p.call(this,x[t],t);else for(t=0;c>t;++t)o[t]=p;if(a=[],"function"==typeof g)for(t=0;i>t;++t)a[t]=+g.call(this,M[t],t);else for(t=0;i>t;++t)a[t]=g;return l.resume()},l.resume=function(){return l.alpha(.1)},l.stop=function(){return l.alpha(0)},l.drag=function(){return r||(r=ao.behavior.drag().origin(m).on("dragstart.force",Qr).on("drag.force",t).on("dragend.force",ni)),arguments.length?void this.on("mouseover.force",ti).on("mouseout.force",ei).call(r):r},ao.rebind(l,c,"on")};var ml=20,Ml=1,xl=1/0;ao.layout.hierarchy=function(){function n(i){var u,o=[i],a=[];for(i.depth=0;null!=(u=o.pop());)if(a.push(u),(c=e.call(n,u,u.depth))&&(l=c.length)){for(var l,c,f;--l>=0;)o.push(f=c[l]),f.parent=u,f.depth=u.depth+1;r&&(u.value=0),u.children=c}else r&&(u.value=+r.call(n,u,u.depth)||0),delete u.children;return oi(i,function(n){var e,i;t&&(e=n.children)&&e.sort(t),r&&(i=n.parent)&&(i.value+=n.value)}),a}var t=ci,e=ai,r=li;return n.sort=function(e){return arguments.length?(t=e,n):t},n.children=function(t){return arguments.length?(e=t,n):e},n.value=function(t){return arguments.length?(r=t,n):r},n.revalue=function(t){return r&&(ui(t,function(n){n.children&&(n.value=0)}),oi(t,function(t){var e;t.children||(t.value=+r.call(n,t,t.depth)||0),(e=t.parent)&&(e.value+=t.value)})),t},n},ao.layout.partition=function(){function n(t,e,r,i){var u=t.children;if(t.x=e,t.y=t.depth*i,t.dx=r,t.dy=i,u&&(o=u.length)){var o,a,l,c=-1;for(r=t.value?r/t.value:0;++c<o;)n(a=u[c],e,l=a.value*r,i),e+=l}}function t(n){var e=n.children,r=0;if(e&&(i=e.length))for(var i,u=-1;++u<i;)r=Math.max(r,t(e[u]));return 1+r}function e(e,u){var o=r.call(this,e,u);return n(o[0],0,i[0],i[1]/t(o[0])),o}var r=ao.layout.hierarchy(),i=[1,1];return e.size=function(n){return arguments.length?(i=n,e):i},ii(e,r)},ao.layout.pie=function(){function n(o){var a,l=o.length,c=o.map(function(e,r){return+t.call(n,e,r)}),f=+("function"==typeof r?r.apply(this,arguments):r),s=("function"==typeof i?i.apply(this,arguments):i)-f,h=Math.min(Math.abs(s)/l,+("function"==typeof u?u.apply(this,arguments):u)),p=h*(0>s?-1:1),g=ao.sum(c),v=g?(s-l*p)/g:0,d=ao.range(l),y=[];return null!=e&&d.sort(e===bl?function(n,t){return c[t]-c[n]}:function(n,t){return e(o[n],o[t])}),d.forEach(function(n){y[n]={data:o[n],value:a=c[n],startAngle:f,endAngle:f+=a*v+p,padAngle:h}}),y}var t=Number,e=bl,r=0,i=Ho,u=0;return n.value=function(e){return arguments.length?(t=e,n):t},n.sort=function(t){return arguments.length?(e=t,n):e},n.startAngle=function(t){return arguments.length?(r=t,n):r},n.endAngle=function(t){return arguments.length?(i=t,n):i},n.padAngle=function(t){return arguments.length?(u=t,n):u},n};var bl={};ao.layout.stack=function(){function n(a,l){if(!(h=a.length))return a;var c=a.map(function(e,r){return t.call(n,e,r)}),f=c.map(function(t){return t.map(function(t,e){return[u.call(n,t,e),o.call(n,t,e)]})}),s=e.call(n,f,l);c=ao.permute(c,s),f=ao.permute(f,s);var h,p,g,v,d=r.call(n,f,l),y=c[0].length;for(g=0;y>g;++g)for(i.call(n,c[0][g],v=d[g],f[0][g][1]),p=1;h>p;++p)i.call(n,c[p][g],v+=f[p-1][g][1],f[p][g][1]);return a}var t=m,e=gi,r=vi,i=pi,u=si,o=hi;return n.values=function(e){return arguments.length?(t=e,n):t},n.order=function(t){return arguments.length?(e="function"==typeof t?t:_l.get(t)||gi,n):e},n.offset=function(t){return arguments.length?(r="function"==typeof t?t:wl.get(t)||vi,n):r},n.x=function(t){return arguments.length?(u=t,n):u},n.y=function(t){return arguments.length?(o=t,n):o},n.out=function(t){return arguments.length?(i=t,n):i},n};var _l=ao.map({"inside-out":function(n){var t,e,r=n.length,i=n.map(di),u=n.map(yi),o=ao.range(r).sort(function(n,t){return i[n]-i[t]}),a=0,l=0,c=[],f=[];for(t=0;r>t;++t)e=o[t],l>a?(a+=u[e],c.push(e)):(l+=u[e],f.push(e));return f.reverse().concat(c)},reverse:function(n){return ao.range(n.length).reverse()},"default":gi}),wl=ao.map({silhouette:function(n){var t,e,r,i=n.length,u=n[0].length,o=[],a=0,l=[];for(e=0;u>e;++e){for(t=0,r=0;i>t;t++)r+=n[t][e][1];r>a&&(a=r),o.push(r)}for(e=0;u>e;++e)l[e]=(a-o[e])/2;return l},wiggle:function(n){var t,e,r,i,u,o,a,l,c,f=n.length,s=n[0],h=s.length,p=[];for(p[0]=l=c=0,e=1;h>e;++e){for(t=0,i=0;f>t;++t)i+=n[t][e][1];for(t=0,u=0,a=s[e][0]-s[e-1][0];f>t;++t){for(r=0,o=(n[t][e][1]-n[t][e-1][1])/(2*a);t>r;++r)o+=(n[r][e][1]-n[r][e-1][1])/a;u+=o*n[t][e][1]}p[e]=l-=i?u/i*a:0,c>l&&(c=l)}for(e=0;h>e;++e)p[e]-=c;return p},expand:function(n){var t,e,r,i=n.length,u=n[0].length,o=1/i,a=[];for(e=0;u>e;++e){for(t=0,r=0;i>t;t++)r+=n[t][e][1];if(r)for(t=0;i>t;t++)n[t][e][1]/=r;else for(t=0;i>t;t++)n[t][e][1]=o}for(e=0;u>e;++e)a[e]=0;return a},zero:vi});ao.layout.histogram=function(){function n(n,u){for(var o,a,l=[],c=n.map(e,this),f=r.call(this,c,u),s=i.call(this,f,c,u),u=-1,h=c.length,p=s.length-1,g=t?1:1/h;++u<p;)o=l[u]=[],o.dx=s[u+1]-(o.x=s[u]),o.y=0;if(p>0)for(u=-1;++u<h;)a=c[u],a>=f[0]&&a<=f[1]&&(o=l[ao.bisect(s,a,1,p)-1],o.y+=g,o.push(n[u]));return l}var t=!0,e=Number,r=bi,i=Mi;return n.value=function(t){return arguments.length?(e=t,n):e},n.range=function(t){return arguments.length?(r=En(t),n):r},n.bins=function(t){return arguments.length?(i="number"==typeof t?function(n){return xi(n,t)}:En(t),n):i},n.frequency=function(e){return arguments.length?(t=!!e,n):t},n},ao.layout.pack=function(){function n(n,u){var o=e.call(this,n,u),a=o[0],l=i[0],c=i[1],f=null==t?Math.sqrt:"function"==typeof t?t:function(){return t};if(a.x=a.y=0,oi(a,function(n){n.r=+f(n.value)}),oi(a,Ni),r){var s=r*(t?1:Math.max(2*a.r/l,2*a.r/c))/2;oi(a,function(n){n.r+=s}),oi(a,Ni),oi(a,function(n){n.r-=s})}return Ci(a,l/2,c/2,t?1:1/Math.max(2*a.r/l,2*a.r/c)),o}var t,e=ao.layout.hierarchy().sort(_i),r=0,i=[1,1];return n.size=function(t){return arguments.length?(i=t,n):i},n.radius=function(e){return arguments.length?(t=null==e||"function"==typeof e?e:+e,n):t},n.padding=function(t){return arguments.length?(r=+t,n):r},ii(n,e)},ao.layout.tree=function(){function n(n,i){var f=o.call(this,n,i),s=f[0],h=t(s);if(oi(h,e),h.parent.m=-h.z,ui(h,r),c)ui(s,u);else{var p=s,g=s,v=s;ui(s,function(n){n.x<p.x&&(p=n),n.x>g.x&&(g=n),n.depth>v.depth&&(v=n)});var d=a(p,g)/2-p.x,y=l[0]/(g.x+a(g,p)/2+d),m=l[1]/(v.depth||1);ui(s,function(n){n.x=(n.x+d)*y,n.y=n.depth*m})}return f}function t(n){for(var t,e={A:null,children:[n]},r=[e];null!=(t=r.pop());)for(var i,u=t.children,o=0,a=u.length;a>o;++o)r.push((u[o]=i={_:u[o],parent:t,children:(i=u[o].children)&&i.slice()||[],A:null,a:null,z:0,m:0,c:0,s:0,t:null,i:o}).a=i);return e.children[0]}function e(n){var t=n.children,e=n.parent.children,r=n.i?e[n.i-1]:null;if(t.length){Di(n);var u=(t[0].z+t[t.length-1].z)/2;r?(n.z=r.z+a(n._,r._),n.m=n.z-u):n.z=u}else r&&(n.z=r.z+a(n._,r._));n.parent.A=i(n,r,n.parent.A||e[0])}function r(n){n._.x=n.z+n.parent.m,n.m+=n.parent.m}function i(n,t,e){if(t){for(var r,i=n,u=n,o=t,l=i.parent.children[0],c=i.m,f=u.m,s=o.m,h=l.m;o=Ti(o),i=qi(i),o&&i;)l=qi(l),u=Ti(u),u.a=n,r=o.z+s-i.z-c+a(o._,i._),r>0&&(Ri(Pi(o,n,e),n,r),c+=r,f+=r),s+=o.m,c+=i.m,h+=l.m,f+=u.m;o&&!Ti(u)&&(u.t=o,u.m+=s-f),i&&!qi(l)&&(l.t=i,l.m+=c-h,e=n)}return e}function u(n){n.x*=l[0],n.y=n.depth*l[1]}var o=ao.layout.hierarchy().sort(null).value(null),a=Li,l=[1,1],c=null;return n.separation=function(t){return arguments.length?(a=t,n):a},n.size=function(t){return arguments.length?(c=null==(l=t)?u:null,n):c?null:l},n.nodeSize=function(t){return arguments.length?(c=null==(l=t)?null:u,n):c?l:null},ii(n,o)},ao.layout.cluster=function(){function n(n,u){var o,a=t.call(this,n,u),l=a[0],c=0;oi(l,function(n){var t=n.children;t&&t.length?(n.x=ji(t),n.y=Ui(t)):(n.x=o?c+=e(n,o):0,n.y=0,o=n)});var f=Fi(l),s=Hi(l),h=f.x-e(f,s)/2,p=s.x+e(s,f)/2;return oi(l,i?function(n){n.x=(n.x-l.x)*r[0],n.y=(l.y-n.y)*r[1]}:function(n){n.x=(n.x-h)/(p-h)*r[0],n.y=(1-(l.y?n.y/l.y:1))*r[1]}),a}var t=ao.layout.hierarchy().sort(null).value(null),e=Li,r=[1,1],i=!1;return n.separation=function(t){return arguments.length?(e=t,n):e},n.size=function(t){return arguments.length?(i=null==(r=t),n):i?null:r},n.nodeSize=function(t){return arguments.length?(i=null!=(r=t),n):i?r:null},ii(n,t)},ao.layout.treemap=function(){function n(n,t){for(var e,r,i=-1,u=n.length;++i<u;)r=(e=n[i]).value*(0>t?0:t),e.area=isNaN(r)||0>=r?0:r}function t(e){var u=e.children;if(u&&u.length){var o,a,l,c=s(e),f=[],h=u.slice(),g=1/0,v="slice"===p?c.dx:"dice"===p?c.dy:"slice-dice"===p?1&e.depth?c.dy:c.dx:Math.min(c.dx,c.dy);for(n(h,c.dx*c.dy/e.value),f.area=0;(l=h.length)>0;)f.push(o=h[l-1]),f.area+=o.area,"squarify"!==p||(a=r(f,v))<=g?(h.pop(),g=a):(f.area-=f.pop().area,i(f,v,c,!1),v=Math.min(c.dx,c.dy),f.length=f.area=0,g=1/0);f.length&&(i(f,v,c,!0),f.length=f.area=0),u.forEach(t)}}function e(t){var r=t.children;if(r&&r.length){var u,o=s(t),a=r.slice(),l=[];for(n(a,o.dx*o.dy/t.value),l.area=0;u=a.pop();)l.push(u),l.area+=u.area,null!=u.z&&(i(l,u.z?o.dx:o.dy,o,!a.length),l.length=l.area=0);r.forEach(e)}}function r(n,t){for(var e,r=n.area,i=0,u=1/0,o=-1,a=n.length;++o<a;)(e=n[o].area)&&(u>e&&(u=e),e>i&&(i=e));return r*=r,t*=t,r?Math.max(t*i*g/r,r/(t*u*g)):1/0}function i(n,t,e,r){var i,u=-1,o=n.length,a=e.x,c=e.y,f=t?l(n.area/t):0;
if(t==e.dx){for((r||f>e.dy)&&(f=e.dy);++u<o;)i=n[u],i.x=a,i.y=c,i.dy=f,a+=i.dx=Math.min(e.x+e.dx-a,f?l(i.area/f):0);i.z=!0,i.dx+=e.x+e.dx-a,e.y+=f,e.dy-=f}else{for((r||f>e.dx)&&(f=e.dx);++u<o;)i=n[u],i.x=a,i.y=c,i.dx=f,c+=i.dy=Math.min(e.y+e.dy-c,f?l(i.area/f):0);i.z=!1,i.dy+=e.y+e.dy-c,e.x+=f,e.dx-=f}}function u(r){var i=o||a(r),u=i[0];return u.x=u.y=0,u.value?(u.dx=c[0],u.dy=c[1]):u.dx=u.dy=0,o&&a.revalue(u),n([u],u.dx*u.dy/u.value),(o?e:t)(u),h&&(o=i),i}var o,a=ao.layout.hierarchy(),l=Math.round,c=[1,1],f=null,s=Oi,h=!1,p="squarify",g=.5*(1+Math.sqrt(5));return u.size=function(n){return arguments.length?(c=n,u):c},u.padding=function(n){function t(t){var e=n.call(u,t,t.depth);return null==e?Oi(t):Ii(t,"number"==typeof e?[e,e,e,e]:e)}function e(t){return Ii(t,n)}if(!arguments.length)return f;var r;return s=null==(f=n)?Oi:"function"==(r=typeof n)?t:"number"===r?(n=[n,n,n,n],e):e,u},u.round=function(n){return arguments.length?(l=n?Math.round:Number,u):l!=Number},u.sticky=function(n){return arguments.length?(h=n,o=null,u):h},u.ratio=function(n){return arguments.length?(g=n,u):g},u.mode=function(n){return arguments.length?(p=n+"",u):p},ii(u,a)},ao.random={normal:function(n,t){var e=arguments.length;return 2>e&&(t=1),1>e&&(n=0),function(){var e,r,i;do e=2*Math.random()-1,r=2*Math.random()-1,i=e*e+r*r;while(!i||i>1);return n+t*e*Math.sqrt(-2*Math.log(i)/i)}},logNormal:function(){var n=ao.random.normal.apply(ao,arguments);return function(){return Math.exp(n())}},bates:function(n){var t=ao.random.irwinHall(n);return function(){return t()/n}},irwinHall:function(n){return function(){for(var t=0,e=0;n>e;e++)t+=Math.random();return t}}},ao.scale={};var Sl={floor:m,ceil:m};ao.scale.linear=function(){return Wi([0,1],[0,1],Mr,!1)};var kl={s:1,g:1,p:1,r:1,e:1};ao.scale.log=function(){return ru(ao.scale.linear().domain([0,1]),10,!0,[1,10])};var Nl=ao.format(".0e"),El={floor:function(n){return-Math.ceil(-n)},ceil:function(n){return-Math.floor(-n)}};ao.scale.pow=function(){return iu(ao.scale.linear(),1,[0,1])},ao.scale.sqrt=function(){return ao.scale.pow().exponent(.5)},ao.scale.ordinal=function(){return ou([],{t:"range",a:[[]]})},ao.scale.category10=function(){return ao.scale.ordinal().range(Al)},ao.scale.category20=function(){return ao.scale.ordinal().range(Cl)},ao.scale.category20b=function(){return ao.scale.ordinal().range(zl)},ao.scale.category20c=function(){return ao.scale.ordinal().range(Ll)};var Al=[2062260,16744206,2924588,14034728,9725885,9197131,14907330,8355711,12369186,1556175].map(xn),Cl=[2062260,11454440,16744206,16759672,2924588,10018698,14034728,16750742,9725885,12955861,9197131,12885140,14907330,16234194,8355711,13092807,12369186,14408589,1556175,10410725].map(xn),zl=[3750777,5395619,7040719,10264286,6519097,9216594,11915115,13556636,9202993,12426809,15186514,15190932,8666169,11356490,14049643,15177372,8077683,10834324,13528509,14589654].map(xn),Ll=[3244733,7057110,10406625,13032431,15095053,16616764,16625259,16634018,3253076,7652470,10607003,13101504,7695281,10394312,12369372,14342891,6513507,9868950,12434877,14277081].map(xn);ao.scale.quantile=function(){return au([],[])},ao.scale.quantize=function(){return lu(0,1,[0,1])},ao.scale.threshold=function(){return cu([.5],[0,1])},ao.scale.identity=function(){return fu([0,1])},ao.svg={},ao.svg.arc=function(){function n(){var n=Math.max(0,+e.apply(this,arguments)),c=Math.max(0,+r.apply(this,arguments)),f=o.apply(this,arguments)-Io,s=a.apply(this,arguments)-Io,h=Math.abs(s-f),p=f>s?0:1;if(n>c&&(g=c,c=n,n=g),h>=Oo)return t(c,p)+(n?t(n,1-p):"")+"Z";var g,v,d,y,m,M,x,b,_,w,S,k,N=0,E=0,A=[];if((y=(+l.apply(this,arguments)||0)/2)&&(d=u===ql?Math.sqrt(n*n+c*c):+u.apply(this,arguments),p||(E*=-1),c&&(E=tn(d/c*Math.sin(y))),n&&(N=tn(d/n*Math.sin(y)))),c){m=c*Math.cos(f+E),M=c*Math.sin(f+E),x=c*Math.cos(s-E),b=c*Math.sin(s-E);var C=Math.abs(s-f-2*E)<=Fo?0:1;if(E&&yu(m,M,x,b)===p^C){var z=(f+s)/2;m=c*Math.cos(z),M=c*Math.sin(z),x=b=null}}else m=M=0;if(n){_=n*Math.cos(s-N),w=n*Math.sin(s-N),S=n*Math.cos(f+N),k=n*Math.sin(f+N);var L=Math.abs(f-s+2*N)<=Fo?0:1;if(N&&yu(_,w,S,k)===1-p^L){var q=(f+s)/2;_=n*Math.cos(q),w=n*Math.sin(q),S=k=null}}else _=w=0;if(h>Uo&&(g=Math.min(Math.abs(c-n)/2,+i.apply(this,arguments)))>.001){v=c>n^p?0:1;var T=g,R=g;if(Fo>h){var D=null==S?[_,w]:null==x?[m,M]:Re([m,M],[S,k],[x,b],[_,w]),P=m-D[0],U=M-D[1],j=x-D[0],F=b-D[1],H=1/Math.sin(Math.acos((P*j+U*F)/(Math.sqrt(P*P+U*U)*Math.sqrt(j*j+F*F)))/2),O=Math.sqrt(D[0]*D[0]+D[1]*D[1]);R=Math.min(g,(n-O)/(H-1)),T=Math.min(g,(c-O)/(H+1))}if(null!=x){var I=mu(null==S?[_,w]:[S,k],[m,M],c,T,p),Y=mu([x,b],[_,w],c,T,p);g===T?A.push("M",I[0],"A",T,",",T," 0 0,",v," ",I[1],"A",c,",",c," 0 ",1-p^yu(I[1][0],I[1][1],Y[1][0],Y[1][1]),",",p," ",Y[1],"A",T,",",T," 0 0,",v," ",Y[0]):A.push("M",I[0],"A",T,",",T," 0 1,",v," ",Y[0])}else A.push("M",m,",",M);if(null!=S){var Z=mu([m,M],[S,k],n,-R,p),V=mu([_,w],null==x?[m,M]:[x,b],n,-R,p);g===R?A.push("L",V[0],"A",R,",",R," 0 0,",v," ",V[1],"A",n,",",n," 0 ",p^yu(V[1][0],V[1][1],Z[1][0],Z[1][1]),",",1-p," ",Z[1],"A",R,",",R," 0 0,",v," ",Z[0]):A.push("L",V[0],"A",R,",",R," 0 0,",v," ",Z[0])}else A.push("L",_,",",w)}else A.push("M",m,",",M),null!=x&&A.push("A",c,",",c," 0 ",C,",",p," ",x,",",b),A.push("L",_,",",w),null!=S&&A.push("A",n,",",n," 0 ",L,",",1-p," ",S,",",k);return A.push("Z"),A.join("")}function t(n,t){return"M0,"+n+"A"+n+","+n+" 0 1,"+t+" 0,"+-n+"A"+n+","+n+" 0 1,"+t+" 0,"+n}var e=hu,r=pu,i=su,u=ql,o=gu,a=vu,l=du;return n.innerRadius=function(t){return arguments.length?(e=En(t),n):e},n.outerRadius=function(t){return arguments.length?(r=En(t),n):r},n.cornerRadius=function(t){return arguments.length?(i=En(t),n):i},n.padRadius=function(t){return arguments.length?(u=t==ql?ql:En(t),n):u},n.startAngle=function(t){return arguments.length?(o=En(t),n):o},n.endAngle=function(t){return arguments.length?(a=En(t),n):a},n.padAngle=function(t){return arguments.length?(l=En(t),n):l},n.centroid=function(){var n=(+e.apply(this,arguments)+ +r.apply(this,arguments))/2,t=(+o.apply(this,arguments)+ +a.apply(this,arguments))/2-Io;return[Math.cos(t)*n,Math.sin(t)*n]},n};var ql="auto";ao.svg.line=function(){return Mu(m)};var Tl=ao.map({linear:xu,"linear-closed":bu,step:_u,"step-before":wu,"step-after":Su,basis:zu,"basis-open":Lu,"basis-closed":qu,bundle:Tu,cardinal:Eu,"cardinal-open":ku,"cardinal-closed":Nu,monotone:Fu});Tl.forEach(function(n,t){t.key=n,t.closed=/-closed$/.test(n)});var Rl=[0,2/3,1/3,0],Dl=[0,1/3,2/3,0],Pl=[0,1/6,2/3,1/6];ao.svg.line.radial=function(){var n=Mu(Hu);return n.radius=n.x,delete n.x,n.angle=n.y,delete n.y,n},wu.reverse=Su,Su.reverse=wu,ao.svg.area=function(){return Ou(m)},ao.svg.area.radial=function(){var n=Ou(Hu);return n.radius=n.x,delete n.x,n.innerRadius=n.x0,delete n.x0,n.outerRadius=n.x1,delete n.x1,n.angle=n.y,delete n.y,n.startAngle=n.y0,delete n.y0,n.endAngle=n.y1,delete n.y1,n},ao.svg.chord=function(){function n(n,a){var l=t(this,u,n,a),c=t(this,o,n,a);return"M"+l.p0+r(l.r,l.p1,l.a1-l.a0)+(e(l,c)?i(l.r,l.p1,l.r,l.p0):i(l.r,l.p1,c.r,c.p0)+r(c.r,c.p1,c.a1-c.a0)+i(c.r,c.p1,l.r,l.p0))+"Z"}function t(n,t,e,r){var i=t.call(n,e,r),u=a.call(n,i,r),o=l.call(n,i,r)-Io,f=c.call(n,i,r)-Io;return{r:u,a0:o,a1:f,p0:[u*Math.cos(o),u*Math.sin(o)],p1:[u*Math.cos(f),u*Math.sin(f)]}}function e(n,t){return n.a0==t.a0&&n.a1==t.a1}function r(n,t,e){return"A"+n+","+n+" 0 "+ +(e>Fo)+",1 "+t}function i(n,t,e,r){return"Q 0,0 "+r}var u=Me,o=xe,a=Iu,l=gu,c=vu;return n.radius=function(t){return arguments.length?(a=En(t),n):a},n.source=function(t){return arguments.length?(u=En(t),n):u},n.target=function(t){return arguments.length?(o=En(t),n):o},n.startAngle=function(t){return arguments.length?(l=En(t),n):l},n.endAngle=function(t){return arguments.length?(c=En(t),n):c},n},ao.svg.diagonal=function(){function n(n,i){var u=t.call(this,n,i),o=e.call(this,n,i),a=(u.y+o.y)/2,l=[u,{x:u.x,y:a},{x:o.x,y:a},o];return l=l.map(r),"M"+l[0]+"C"+l[1]+" "+l[2]+" "+l[3]}var t=Me,e=xe,r=Yu;return n.source=function(e){return arguments.length?(t=En(e),n):t},n.target=function(t){return arguments.length?(e=En(t),n):e},n.projection=function(t){return arguments.length?(r=t,n):r},n},ao.svg.diagonal.radial=function(){var n=ao.svg.diagonal(),t=Yu,e=n.projection;return n.projection=function(n){return arguments.length?e(Zu(t=n)):t},n},ao.svg.symbol=function(){function n(n,r){return(Ul.get(t.call(this,n,r))||$u)(e.call(this,n,r))}var t=Xu,e=Vu;return n.type=function(e){return arguments.length?(t=En(e),n):t},n.size=function(t){return arguments.length?(e=En(t),n):e},n};var Ul=ao.map({circle:$u,cross:function(n){var t=Math.sqrt(n/5)/2;return"M"+-3*t+","+-t+"H"+-t+"V"+-3*t+"H"+t+"V"+-t+"H"+3*t+"V"+t+"H"+t+"V"+3*t+"H"+-t+"V"+t+"H"+-3*t+"Z"},diamond:function(n){var t=Math.sqrt(n/(2*Fl)),e=t*Fl;return"M0,"+-t+"L"+e+",0 0,"+t+" "+-e+",0Z"},square:function(n){var t=Math.sqrt(n)/2;return"M"+-t+","+-t+"L"+t+","+-t+" "+t+","+t+" "+-t+","+t+"Z"},"triangle-down":function(n){var t=Math.sqrt(n/jl),e=t*jl/2;return"M0,"+e+"L"+t+","+-e+" "+-t+","+-e+"Z"},"triangle-up":function(n){var t=Math.sqrt(n/jl),e=t*jl/2;return"M0,"+-e+"L"+t+","+e+" "+-t+","+e+"Z"}});ao.svg.symbolTypes=Ul.keys();var jl=Math.sqrt(3),Fl=Math.tan(30*Yo);Co.transition=function(n){for(var t,e,r=Hl||++Zl,i=Ku(n),u=[],o=Ol||{time:Date.now(),ease:Nr,delay:0,duration:250},a=-1,l=this.length;++a<l;){u.push(t=[]);for(var c=this[a],f=-1,s=c.length;++f<s;)(e=c[f])&&Qu(e,f,i,r,o),t.push(e)}return Wu(u,i,r)},Co.interrupt=function(n){return this.each(null==n?Il:Bu(Ku(n)))};var Hl,Ol,Il=Bu(Ku()),Yl=[],Zl=0;Yl.call=Co.call,Yl.empty=Co.empty,Yl.node=Co.node,Yl.size=Co.size,ao.transition=function(n,t){return n&&n.transition?Hl?n.transition(t):n:ao.selection().transition(n)},ao.transition.prototype=Yl,Yl.select=function(n){var t,e,r,i=this.id,u=this.namespace,o=[];n=A(n);for(var a=-1,l=this.length;++a<l;){o.push(t=[]);for(var c=this[a],f=-1,s=c.length;++f<s;)(r=c[f])&&(e=n.call(r,r.__data__,f,a))?("__data__"in r&&(e.__data__=r.__data__),Qu(e,f,u,i,r[u][i]),t.push(e)):t.push(null)}return Wu(o,u,i)},Yl.selectAll=function(n){var t,e,r,i,u,o=this.id,a=this.namespace,l=[];n=C(n);for(var c=-1,f=this.length;++c<f;)for(var s=this[c],h=-1,p=s.length;++h<p;)if(r=s[h]){u=r[a][o],e=n.call(r,r.__data__,h,c),l.push(t=[]);for(var g=-1,v=e.length;++g<v;)(i=e[g])&&Qu(i,g,a,o,u),t.push(i)}return Wu(l,a,o)},Yl.filter=function(n){var t,e,r,i=[];"function"!=typeof n&&(n=O(n));for(var u=0,o=this.length;o>u;u++){i.push(t=[]);for(var e=this[u],a=0,l=e.length;l>a;a++)(r=e[a])&&n.call(r,r.__data__,a,u)&&t.push(r)}return Wu(i,this.namespace,this.id)},Yl.tween=function(n,t){var e=this.id,r=this.namespace;return arguments.length<2?this.node()[r][e].tween.get(n):Y(this,null==t?function(t){t[r][e].tween.remove(n)}:function(i){i[r][e].tween.set(n,t)})},Yl.attr=function(n,t){function e(){this.removeAttribute(a)}function r(){this.removeAttributeNS(a.space,a.local)}function i(n){return null==n?e:(n+="",function(){var t,e=this.getAttribute(a);return e!==n&&(t=o(e,n),function(n){this.setAttribute(a,t(n))})})}function u(n){return null==n?r:(n+="",function(){var t,e=this.getAttributeNS(a.space,a.local);return e!==n&&(t=o(e,n),function(n){this.setAttributeNS(a.space,a.local,t(n))})})}if(arguments.length<2){for(t in n)this.attr(t,n[t]);return this}var o="transform"==n?$r:Mr,a=ao.ns.qualify(n);return Ju(this,"attr."+n,t,a.local?u:i)},Yl.attrTween=function(n,t){function e(n,e){var r=t.call(this,n,e,this.getAttribute(i));return r&&function(n){this.setAttribute(i,r(n))}}function r(n,e){var r=t.call(this,n,e,this.getAttributeNS(i.space,i.local));return r&&function(n){this.setAttributeNS(i.space,i.local,r(n))}}var i=ao.ns.qualify(n);return this.tween("attr."+n,i.local?r:e)},Yl.style=function(n,e,r){function i(){this.style.removeProperty(n)}function u(e){return null==e?i:(e+="",function(){var i,u=t(this).getComputedStyle(this,null).getPropertyValue(n);return u!==e&&(i=Mr(u,e),function(t){this.style.setProperty(n,i(t),r)})})}var o=arguments.length;if(3>o){if("string"!=typeof n){2>o&&(e="");for(r in n)this.style(r,n[r],e);return this}r=""}return Ju(this,"style."+n,e,u)},Yl.styleTween=function(n,e,r){function i(i,u){var o=e.call(this,i,u,t(this).getComputedStyle(this,null).getPropertyValue(n));return o&&function(t){this.style.setProperty(n,o(t),r)}}return arguments.length<3&&(r=""),this.tween("style."+n,i)},Yl.text=function(n){return Ju(this,"text",n,Gu)},Yl.remove=function(){var n=this.namespace;return this.each("end.transition",function(){var t;this[n].count<2&&(t=this.parentNode)&&t.removeChild(this)})},Yl.ease=function(n){var t=this.id,e=this.namespace;return arguments.length<1?this.node()[e][t].ease:("function"!=typeof n&&(n=ao.ease.apply(ao,arguments)),Y(this,function(r){r[e][t].ease=n}))},Yl.delay=function(n){var t=this.id,e=this.namespace;return arguments.length<1?this.node()[e][t].delay:Y(this,"function"==typeof n?function(r,i,u){r[e][t].delay=+n.call(r,r.__data__,i,u)}:(n=+n,function(r){r[e][t].delay=n}))},Yl.duration=function(n){var t=this.id,e=this.namespace;return arguments.length<1?this.node()[e][t].duration:Y(this,"function"==typeof n?function(r,i,u){r[e][t].duration=Math.max(1,n.call(r,r.__data__,i,u))}:(n=Math.max(1,n),function(r){r[e][t].duration=n}))},Yl.each=function(n,t){var e=this.id,r=this.namespace;if(arguments.length<2){var i=Ol,u=Hl;try{Hl=e,Y(this,function(t,i,u){Ol=t[r][e],n.call(t,t.__data__,i,u)})}finally{Ol=i,Hl=u}}else Y(this,function(i){var u=i[r][e];(u.event||(u.event=ao.dispatch("start","end","interrupt"))).on(n,t)});return this},Yl.transition=function(){for(var n,t,e,r,i=this.id,u=++Zl,o=this.namespace,a=[],l=0,c=this.length;c>l;l++){a.push(n=[]);for(var t=this[l],f=0,s=t.length;s>f;f++)(e=t[f])&&(r=e[o][i],Qu(e,f,o,u,{time:r.time,ease:r.ease,delay:r.delay+r.duration,duration:r.duration})),n.push(e)}return Wu(a,o,u)},ao.svg.axis=function(){function n(n){n.each(function(){var n,c=ao.select(this),f=this.__chart__||e,s=this.__chart__=e.copy(),h=null==l?s.ticks?s.ticks.apply(s,a):s.domain():l,p=null==t?s.tickFormat?s.tickFormat.apply(s,a):m:t,g=c.selectAll(".tick").data(h,s),v=g.enter().insert("g",".domain").attr("class","tick").style("opacity",Uo),d=ao.transition(g.exit()).style("opacity",Uo).remove(),y=ao.transition(g.order()).style("opacity",1),M=Math.max(i,0)+o,x=Zi(s),b=c.selectAll(".domain").data([0]),_=(b.enter().append("path").attr("class","domain"),ao.transition(b));v.append("line"),v.append("text");var w,S,k,N,E=v.select("line"),A=y.select("line"),C=g.select("text").text(p),z=v.select("text"),L=y.select("text"),q="top"===r||"left"===r?-1:1;if("bottom"===r||"top"===r?(n=no,w="x",k="y",S="x2",N="y2",C.attr("dy",0>q?"0em":".71em").style("text-anchor","middle"),_.attr("d","M"+x[0]+","+q*u+"V0H"+x[1]+"V"+q*u)):(n=to,w="y",k="x",S="y2",N="x2",C.attr("dy",".32em").style("text-anchor",0>q?"end":"start"),_.attr("d","M"+q*u+","+x[0]+"H0V"+x[1]+"H"+q*u)),E.attr(N,q*i),z.attr(k,q*M),A.attr(S,0).attr(N,q*i),L.attr(w,0).attr(k,q*M),s.rangeBand){var T=s,R=T.rangeBand()/2;f=s=function(n){return T(n)+R}}else f.rangeBand?f=s:d.call(n,s,f);v.call(n,f,s),y.call(n,s,s)})}var t,e=ao.scale.linear(),r=Vl,i=6,u=6,o=3,a=[10],l=null;return n.scale=function(t){return arguments.length?(e=t,n):e},n.orient=function(t){return arguments.length?(r=t in Xl?t+"":Vl,n):r},n.ticks=function(){return arguments.length?(a=co(arguments),n):a},n.tickValues=function(t){return arguments.length?(l=t,n):l},n.tickFormat=function(e){return arguments.length?(t=e,n):t},n.tickSize=function(t){var e=arguments.length;return e?(i=+t,u=+arguments[e-1],n):i},n.innerTickSize=function(t){return arguments.length?(i=+t,n):i},n.outerTickSize=function(t){return arguments.length?(u=+t,n):u},n.tickPadding=function(t){return arguments.length?(o=+t,n):o},n.tickSubdivide=function(){return arguments.length&&n},n};var Vl="bottom",Xl={top:1,right:1,bottom:1,left:1};ao.svg.brush=function(){function n(t){t.each(function(){var t=ao.select(this).style("pointer-events","all").style("-webkit-tap-highlight-color","rgba(0,0,0,0)").on("mousedown.brush",u).on("touchstart.brush",u),o=t.selectAll(".background").data([0]);o.enter().append("rect").attr("class","background").style("visibility","hidden").style("cursor","crosshair"),t.selectAll(".extent").data([0]).enter().append("rect").attr("class","extent").style("cursor","move");var a=t.selectAll(".resize").data(v,m);a.exit().remove(),a.enter().append("g").attr("class",function(n){return"resize "+n}).style("cursor",function(n){return $l[n]}).append("rect").attr("x",function(n){return/[ew]$/.test(n)?-3:null}).attr("y",function(n){return/^[ns]/.test(n)?-3:null}).attr("width",6).attr("height",6).style("visibility","hidden"),a.style("display",n.empty()?"none":null);var l,s=ao.transition(t),h=ao.transition(o);c&&(l=Zi(c),h.attr("x",l[0]).attr("width",l[1]-l[0]),r(s)),f&&(l=Zi(f),h.attr("y",l[0]).attr("height",l[1]-l[0]),i(s)),e(s)})}function e(n){n.selectAll(".resize").attr("transform",function(n){return"translate("+s[+/e$/.test(n)]+","+h[+/^s/.test(n)]+")"})}function r(n){n.select(".extent").attr("x",s[0]),n.selectAll(".extent,.n>rect,.s>rect").attr("width",s[1]-s[0])}function i(n){n.select(".extent").attr("y",h[0]),n.selectAll(".extent,.e>rect,.w>rect").attr("height",h[1]-h[0])}function u(){function u(){32==ao.event.keyCode&&(C||(M=null,L[0]-=s[1],L[1]-=h[1],C=2),S())}function v(){32==ao.event.keyCode&&2==C&&(L[0]+=s[1],L[1]+=h[1],C=0,S())}function d(){var n=ao.mouse(b),t=!1;x&&(n[0]+=x[0],n[1]+=x[1]),C||(ao.event.altKey?(M||(M=[(s[0]+s[1])/2,(h[0]+h[1])/2]),L[0]=s[+(n[0]<M[0])],L[1]=h[+(n[1]<M[1])]):M=null),E&&y(n,c,0)&&(r(k),t=!0),A&&y(n,f,1)&&(i(k),t=!0),t&&(e(k),w({type:"brush",mode:C?"move":"resize"}))}function y(n,t,e){var r,i,u=Zi(t),l=u[0],c=u[1],f=L[e],v=e?h:s,d=v[1]-v[0];return C&&(l-=f,c-=d+f),r=(e?g:p)?Math.max(l,Math.min(c,n[e])):n[e],C?i=(r+=f)+d:(M&&(f=Math.max(l,Math.min(c,2*M[e]-r))),r>f?(i=r,r=f):i=f),v[0]!=r||v[1]!=i?(e?a=null:o=null,v[0]=r,v[1]=i,!0):void 0}function m(){d(),k.style("pointer-events","all").selectAll(".resize").style("display",n.empty()?"none":null),ao.select("body").style("cursor",null),q.on("mousemove.brush",null).on("mouseup.brush",null).on("touchmove.brush",null).on("touchend.brush",null).on("keydown.brush",null).on("keyup.brush",null),z(),w({type:"brushend"})}var M,x,b=this,_=ao.select(ao.event.target),w=l.of(b,arguments),k=ao.select(b),N=_.datum(),E=!/^(n|s)$/.test(N)&&c,A=!/^(e|w)$/.test(N)&&f,C=_.classed("extent"),z=W(b),L=ao.mouse(b),q=ao.select(t(b)).on("keydown.brush",u).on("keyup.brush",v);if(ao.event.changedTouches?q.on("touchmove.brush",d).on("touchend.brush",m):q.on("mousemove.brush",d).on("mouseup.brush",m),k.interrupt().selectAll("*").interrupt(),C)L[0]=s[0]-L[0],L[1]=h[0]-L[1];else if(N){var T=+/w$/.test(N),R=+/^n/.test(N);x=[s[1-T]-L[0],h[1-R]-L[1]],L[0]=s[T],L[1]=h[R]}else ao.event.altKey&&(M=L.slice());k.style("pointer-events","none").selectAll(".resize").style("display",null),ao.select("body").style("cursor",_.style("cursor")),w({type:"brushstart"}),d()}var o,a,l=N(n,"brushstart","brush","brushend"),c=null,f=null,s=[0,0],h=[0,0],p=!0,g=!0,v=Bl[0];return n.event=function(n){n.each(function(){var n=l.of(this,arguments),t={x:s,y:h,i:o,j:a},e=this.__chart__||t;this.__chart__=t,Hl?ao.select(this).transition().each("start.brush",function(){o=e.i,a=e.j,s=e.x,h=e.y,n({type:"brushstart"})}).tween("brush:brush",function(){var e=xr(s,t.x),r=xr(h,t.y);return o=a=null,function(i){s=t.x=e(i),h=t.y=r(i),n({type:"brush",mode:"resize"})}}).each("end.brush",function(){o=t.i,a=t.j,n({type:"brush",mode:"resize"}),n({type:"brushend"})}):(n({type:"brushstart"}),n({type:"brush",mode:"resize"}),n({type:"brushend"}))})},n.x=function(t){return arguments.length?(c=t,v=Bl[!c<<1|!f],n):c},n.y=function(t){return arguments.length?(f=t,v=Bl[!c<<1|!f],n):f},n.clamp=function(t){return arguments.length?(c&&f?(p=!!t[0],g=!!t[1]):c?p=!!t:f&&(g=!!t),n):c&&f?[p,g]:c?p:f?g:null},n.extent=function(t){var e,r,i,u,l;return arguments.length?(c&&(e=t[0],r=t[1],f&&(e=e[0],r=r[0]),o=[e,r],c.invert&&(e=c(e),r=c(r)),e>r&&(l=e,e=r,r=l),e==s[0]&&r==s[1]||(s=[e,r])),f&&(i=t[0],u=t[1],c&&(i=i[1],u=u[1]),a=[i,u],f.invert&&(i=f(i),u=f(u)),i>u&&(l=i,i=u,u=l),i==h[0]&&u==h[1]||(h=[i,u])),n):(c&&(o?(e=o[0],r=o[1]):(e=s[0],r=s[1],c.invert&&(e=c.invert(e),r=c.invert(r)),e>r&&(l=e,e=r,r=l))),f&&(a?(i=a[0],u=a[1]):(i=h[0],u=h[1],f.invert&&(i=f.invert(i),u=f.invert(u)),i>u&&(l=i,i=u,u=l))),c&&f?[[e,i],[r,u]]:c?[e,r]:f&&[i,u])},n.clear=function(){return n.empty()||(s=[0,0],h=[0,0],o=a=null),n},n.empty=function(){return!!c&&s[0]==s[1]||!!f&&h[0]==h[1]},ao.rebind(n,l,"on")};var $l={n:"ns-resize",e:"ew-resize",s:"ns-resize",w:"ew-resize",nw:"nwse-resize",ne:"nesw-resize",se:"nwse-resize",sw:"nesw-resize"},Bl=[["n","e","s","w","nw","ne","se","sw"],["e","w"],["n","s"],[]],Wl=ga.format=xa.timeFormat,Jl=Wl.utc,Gl=Jl("%Y-%m-%dT%H:%M:%S.%LZ");Wl.iso=Date.prototype.toISOString&&+new Date("2000-01-01T00:00:00.000Z")?eo:Gl,eo.parse=function(n){var t=new Date(n);return isNaN(t)?null:t},eo.toString=Gl.toString,ga.second=On(function(n){return new va(1e3*Math.floor(n/1e3))},function(n,t){n.setTime(n.getTime()+1e3*Math.floor(t))},function(n){return n.getSeconds()}),ga.seconds=ga.second.range,ga.seconds.utc=ga.second.utc.range,ga.minute=On(function(n){return new va(6e4*Math.floor(n/6e4))},function(n,t){n.setTime(n.getTime()+6e4*Math.floor(t))},function(n){return n.getMinutes()}),ga.minutes=ga.minute.range,ga.minutes.utc=ga.minute.utc.range,ga.hour=On(function(n){var t=n.getTimezoneOffset()/60;return new va(36e5*(Math.floor(n/36e5-t)+t))},function(n,t){n.setTime(n.getTime()+36e5*Math.floor(t))},function(n){return n.getHours()}),ga.hours=ga.hour.range,ga.hours.utc=ga.hour.utc.range,ga.month=On(function(n){return n=ga.day(n),n.setDate(1),n},function(n,t){n.setMonth(n.getMonth()+t)},function(n){return n.getMonth()}),ga.months=ga.month.range,ga.months.utc=ga.month.utc.range;var Kl=[1e3,5e3,15e3,3e4,6e4,3e5,9e5,18e5,36e5,108e5,216e5,432e5,864e5,1728e5,6048e5,2592e6,7776e6,31536e6],Ql=[[ga.second,1],[ga.second,5],[ga.second,15],[ga.second,30],[ga.minute,1],[ga.minute,5],[ga.minute,15],[ga.minute,30],[ga.hour,1],[ga.hour,3],[ga.hour,6],[ga.hour,12],[ga.day,1],[ga.day,2],[ga.week,1],[ga.month,1],[ga.month,3],[ga.year,1]],nc=Wl.multi([[".%L",function(n){return n.getMilliseconds()}],[":%S",function(n){return n.getSeconds()}],["%I:%M",function(n){return n.getMinutes()}],["%I %p",function(n){return n.getHours()}],["%a %d",function(n){return n.getDay()&&1!=n.getDate()}],["%b %d",function(n){return 1!=n.getDate()}],["%B",function(n){return n.getMonth()}],["%Y",zt]]),tc={range:function(n,t,e){return ao.range(Math.ceil(n/e)*e,+t,e).map(io)},floor:m,ceil:m};Ql.year=ga.year,ga.scale=function(){return ro(ao.scale.linear(),Ql,nc)};var ec=Ql.map(function(n){return[n[0].utc,n[1]]}),rc=Jl.multi([[".%L",function(n){return n.getUTCMilliseconds()}],[":%S",function(n){return n.getUTCSeconds()}],["%I:%M",function(n){return n.getUTCMinutes()}],["%I %p",function(n){return n.getUTCHours()}],["%a %d",function(n){return n.getUTCDay()&&1!=n.getUTCDate()}],["%b %d",function(n){return 1!=n.getUTCDate()}],["%B",function(n){return n.getUTCMonth()}],["%Y",zt]]);ec.year=ga.year.utc,ga.scale.utc=function(){return ro(ao.scale.linear(),ec,rc)},ao.text=An(function(n){return n.responseText}),ao.json=function(n,t){return Cn(n,"application/json",uo,t)},ao.html=function(n,t){return Cn(n,"text/html",oo,t)},ao.xml=An(function(n){return n.responseXML}),"function"==typeof define&&define.amd?(this.d3=ao,define(ao)):"object"==typeof module&&module.exports?module.exports=ao:this.d3=ao}();
    </script>
    <script type="text/javascript">
        /**
 * @fileOverview A D3 based distribution chart system. Supports: Box plots, Violin plots, Notched box plots, trend lines, beeswarm plot
 * @version 3.0
 */


/**
 * Creates a box plot, violin plot, and or notched box plot
 * @param settings Configuration options for the base plot
 * @param settings.data The data for the plot
 * @param settings.xName The name of the column that should be used for the x groups
 * @param settings.yName The name of the column used for the y values
 * @param {string} settings.selector The selector string for the main chart div
 * @param [settings.axisLabels={}] Defaults to the xName and yName
 * @param [settings.yTicks = 1] 1 = default ticks. 2 =  double, 0.5 = half
 * @param [settings.scale='linear'] 'linear' or 'log' - y scale of the chart
 * @param [settings.chartSize={width:800, height:400}] The height and width of the chart itself (doesn't include the container)
 * @param [settings.margin={top: 15, right: 60, bottom: 40, left: 50}] The margins around the chart (inside the main div)
 * @param [settings.constrainExtremes=false] Should the y scale include outliers?
 * @returns {object} chart A chart object
 */
function makeDistroChart(settings) {

    var chart = {};

    // Defaults
    chart.settings = {
        data: null,
        xName: null,
        yName: null,
        axisLabels: {xAxis: null, yAxis: null},
        labelName: "label",
        unitsName: "units",
        selector: null,
        axisLables: null,
        yTicks: 1,
        scale: 'linear',
        chartSize: {width: 800, height: 400},
        margin: {top: 15, right: 10, bottom: 50, left: 50},
        constrainExtremes: false,
        color: d3.scale.category10(),
        modality: null
    };

    for (var setting in settings) {
        chart.settings[setting] = settings[setting]
    }

    function formatAsFloat(d) {
        if (d % 1 !== 0) {
            return d3.format(".2f")(d);
        } else {
            return d3.format(".0f")(d);
        }
    }

    function logFormatNumber(d) {
        var x = Math.log(d) / Math.log(10) + 1e-6;
        return Math.abs(x - Math.floor(x)) < 0.6 ? formatAsFloat(d) : "";
    }

    chart.yFormatter = formatAsFloat;

    chart.data = chart.settings.data;

    iqmName = chart.data[0][chart.settings.xName]
    if (iqmName.indexOf('_') > 0) {
        iqmName = iqmName.substr(0, iqmName.indexOf('_'))
    }
    chart.settings.axisLabels.yAxis = iqmName.toUpperCase()
    if (iqmName.toLowerCase().startsWith('fd') || iqmName.toLowerCase().startsWith('spikes')) {
        chart.settings.constrainExtremes = true
    }

    units = chart.data[0][chart.settings.unitsName]
    if (units) {
        chart.settings.axisLabels.yAxis += ' (' + units + ')'
    }


    chart.groupObjs = {}; //The data organized by grouping and sorted as well as any metadata for the groups
    chart.objs = {mainDiv: null, chartDiv: null, g: null, xAxis: null, yAxis: null};
    chart.colorFunct = null;

    /**
     * Takes an array, function, or object mapping and created a color function from it
     * @param {function|[]|object} colorOptions
     * @returns {function} Function to be used to determine chart colors
     */
    function getColorFunct(colorOptions) {
        if (typeof colorOptions == 'function') {
            return colorOptions
        } else if (Array.isArray(colorOptions)) {
            //  If an array is provided, map it to the domain
            var colorMap = {}, cColor = 0;
            for (var cName in chart.groupObjs) {
                colorMap[cName] = colorOptions[cColor];
                cColor = (cColor + 1) % colorOptions.length;
            }
            return function (group) {
                return colorMap[group];
            }
        } else if (typeof colorOptions == 'object') {
            // if an object is provided, assume it maps to  the colors
            return function (group) {
                return colorOptions[group];
            }
        } else {
            return d3.scale.category10();
        }
    }

    /**
     * Takes a percentage as returns the values that correspond to that percentage of the group range width
     * @param objWidth Percentage of range band
     * @param gName The bin name to use to get the x shift
     * @returns {{left: null, right: null, middle: null}}
     */
    function getObjWidth(objWidth, gName) {
        var objSize = {left: null, right: null, middle: null};
        var width = chart.xScale.rangeBand() * (objWidth / 100);
        var padding = (chart.xScale.rangeBand() - width) / 2;
        var gShift = chart.xScale(gName);
        objSize.middle = chart.xScale.rangeBand() / 2 + gShift;
        objSize.left = padding + gShift;
        objSize.right = objSize.left + width;
        return objSize;
    }

    /**
     * Adds jitter to the  scatter point plot
     * @param doJitter true or false, add jitter to the point
     * @param width percent of the range band to cover with the jitter
     * @returns {number}
     */
    function addJitter(doJitter, width) {
        if (doJitter !== true || width == 0) {
            return 0
        }
        return Math.floor(Math.random() * width) - width / 2;
    }

    function shallowCopy(oldObj) {
        var newObj = {};
        for (var i in oldObj) {
            if (oldObj.hasOwnProperty(i)) {
                newObj[i] = oldObj[i];
            }
        }
        return newObj;
    }

    /**
     * Closure that creates the tooltip hover function
     * @param groupName Name of the x group
     * @param metrics Object to use to get values for the group
     * @returns {Function} A function that provides the values for the tooltip
     */
    function tooltipHover(groupName, metrics) {
        var tooltipString = "Group: " + groupName;
        tooltipString += "<br\>Max: " + formatAsFloat(metrics.max, 0.1);
        tooltipString += "<br\>Q3: " + formatAsFloat(metrics.quartile3);
        tooltipString += "<br\>Median: " + formatAsFloat(metrics.median);
        tooltipString += "<br\>Q1: " + formatAsFloat(metrics.quartile1);
        tooltipString += "<br\>Min: " + formatAsFloat(metrics.min);
        return function () {
            chart.objs.tooltip.transition().duration(200).style("opacity", 0.9);
            chart.objs.tooltip.html(tooltipString)
        };
    }

    function axislabelHover(groupName) {
        var tooltipString = "Go to definition of " + groupName;
        return function () {
            chart.objs.tooltip.transition().duration(200).style("opacity", 1.0);
            chart.objs.tooltip.html(tooltipString)
        };
    }

    /**
     * Closure that creates the tooltip hover function
     * @param groupName Name of the x group
     * @param metrics Object to use to get values for the group
     * @returns {Function} A function that provides the values for the tooltip
     */
    function pointHover(label, value) {
        var tooltipString = "Subject: " + label + "<br\>Measure: " + value
        return function () {
            chart.objs.tooltip.transition().duration(200).style("opacity", 1.0);
            chart.objs.tooltip.html(tooltipString)
        };
    }

    /**
     * Parse the data and calculates base values for the plots
     */
    !function prepareData() {
        function calcMetrics(values) {
            // Do not reorder in-place
            values = values.slice(0).sort(d3.ascending)

            var metrics = { //These are the original non�scaled values
                max: null,
                upperOuterFence: null,
                upperInnerFence: null,
                quartile3: null,
                median: null,
                mean: null,
                iqr: null,
                quartile1: null,
                lowerInnerFence: null,
                lowerOuterFence: null,
                min: null
            };

            metrics.min = d3.min(values);
            metrics.quartile1 = d3.quantile(values, 0.25);
            metrics.median = d3.median(values);
            metrics.mean = d3.mean(values);
            metrics.quartile3 = d3.quantile(values, 0.75);
            metrics.max = d3.max(values);
            metrics.iqr = metrics.quartile3 - metrics.quartile1;

            //The inner fences are the closest value to the IQR without going past it (assumes sorted lists)
            var LIF = metrics.quartile1 - (1.5 * metrics.iqr);
            var UIF = metrics.quartile3 + (1.5 * metrics.iqr);
            for (var i = 0; i <= values.length; i++) {
                if (values[i] < LIF) {
                    continue;
                }
                if (!metrics.lowerInnerFence && values[i] >= LIF) {
                    metrics.lowerInnerFence = values[i];
                    continue;
                }
                if (values[i] > UIF) {
                    metrics.upperInnerFence = values[i - 1];
                    break;
                }
            }


            metrics.lowerOuterFence = metrics.quartile1 - (3 * metrics.iqr);
            metrics.upperOuterFence = metrics.quartile3 + (3 * metrics.iqr);
            if (!metrics.lowerInnerFence) {
                metrics.lowerInnerFence = metrics.min;
            }
            if (!metrics.upperInnerFence) {
                metrics.upperInnerFence = metrics.max;
            }
            return metrics
        }

        var current_x = null;
        var current_y = null;
        var current_row;

        // Group the values
        for (current_row = 0; current_row < chart.data.length; current_row++) {
            current_x = chart.data[current_row][chart.settings.xName];
            current_y = chart.data[current_row][chart.settings.yName];
            current_label = chart.data[current_row][chart.settings.labelName];

            if (chart.groupObjs.hasOwnProperty(current_x)) {
                chart.groupObjs[current_x].values.push(current_y);
                chart.groupObjs[current_x].labels.push(current_label);
            } else {
                chart.groupObjs[current_x] = {};
                chart.groupObjs[current_x].values = [current_y];
                chart.groupObjs[current_x].labels = [current_label];
            }
        }

        for (var cName in chart.groupObjs) {
            // chart.groupObjs[cName].values.sort(d3.ascending);
            chart.groupObjs[cName].metrics = {};
            chart.groupObjs[cName].metrics = calcMetrics(chart.groupObjs[cName].values);

        }
    }();

    /**
     * Prepare the chart settings and chart div and svg
     */
    !function prepareSettings() {
        //Set base settings
        chart.margin = chart.settings.margin;
        chart.divWidth = chart.settings.chartSize.width;
        chart.divHeight = chart.settings.chartSize.height;
        chart.width = chart.divWidth - chart.margin.left - chart.margin.right;
        chart.height = chart.divHeight - chart.margin.top - chart.margin.bottom;

        if (chart.settings.axisLabels) {
            chart.xAxisLable = chart.settings.axisLabels.xAxis;
            chart.yAxisLable = chart.settings.axisLabels.yAxis;
        }

        if (chart.settings.scale === 'log') {
            chart.yScale = d3.scale.log();
            chart.yFormatter = logFormatNumber;
        } else {
            chart.yScale = d3.scale.linear();
        }

        if (chart.settings.constrainExtremes === true) {
            var fences = [];
            for (var cName in chart.groupObjs) {
                fences.push(chart.groupObjs[cName].metrics.lowerInnerFence);
                fences.push(chart.groupObjs[cName].metrics.upperInnerFence);
            }
            chart.range = d3.extent(fences);

        } else {
            chart.range = d3.extent(chart.data, function (d) {return d[chart.settings.yName];});
        }

        chart.colorFunct = getColorFunct(chart.settings.colors);

        // Build Scale functions
        chart.yScale.range([chart.height, 0]).domain(chart.range).nice().clamp(true);
        chart.xScale = d3.scale.ordinal().domain(Object.keys(chart.groupObjs)).rangeBands([0, chart.width]);

        //Build Axes Functions
        chart.objs.yAxis = d3.svg.axis()
            .scale(chart.yScale)
            .orient("left")
            .tickFormat(chart.yFormatter)
            .outerTickSize(0)
            .innerTickSize(-chart.width + (chart.margin.right + chart.margin.left));
        chart.objs.yAxis.ticks(chart.objs.yAxis.ticks()*chart.settings.yTicks);
        chart.objs.xAxis = d3.svg.axis().scale(chart.xScale).orient("bottom").tickSize(5);
    }();

    /**
     * Updates the chart based on the current settings and window size
     * @returns {*}
     */
    chart.update = function () {
        // Update chart size based on view port size
        chart.width = parseInt(chart.objs.chartDiv.style("width"), 10) - (chart.margin.left + chart.margin.right);
        chart.height = parseInt(chart.objs.chartDiv.style("height"), 10) - (chart.margin.top + chart.margin.bottom);

        // Update scale functions
        chart.xScale.rangeBands([0, chart.width]);
        chart.yScale.range([chart.height, 0]);

        // Update the yDomain if the Violin plot clamp is set to -1 meaning it will extend the violins to make nice points
        if (chart.violinPlots && chart.violinPlots.options.show == true && chart.violinPlots.options._yDomainVP != null) {
            chart.yScale.domain(chart.violinPlots.options._yDomainVP).nice().clamp(true);
        } else {
            chart.yScale.domain(chart.range).nice().clamp(true);
        }

        //Update axes
        chart.objs.g.select('.x.axis').attr("transform", "translate(0," + chart.height + ")").call(chart.objs.xAxis)
            .selectAll("text")
            .attr("y", 5)
            .attr("x", -5)
            .attr("transform", "rotate(-45)")
            .style("text-anchor", "end");
        chart.objs.g.select('.x.axis .label').attr("x", chart.width / 2);
        chart.objs.g.select('.y.axis').call(chart.objs.yAxis.innerTickSize(-chart.width));
        chart.objs.g.select('.y.axis .label').attr("x", -chart.height / 2);
        chart.objs.chartDiv.select('svg').attr("width", chart.width + (chart.margin.left + chart.margin.right)).attr("height", chart.height + (chart.margin.top + chart.margin.bottom));

        return chart;
    };

    /**
     * Prepare the chart html elements
     */
    !function prepareChart() {
        // Build main div and chart div
        chart.objs.mainDiv = d3.select(chart.settings.selector)
            .style("width", chart.divWidth + "px")
            .style("display", "inline-block");
        // Add all the divs to make it centered and responsive
        chart.objs.mainDiv.append("div")
            .attr("class", "inner-wrapper")
            .style("padding-bottom", (chart.divHeight / chart.divWidth) * 100 + "%")
            .append("div").attr("class", "outer-box")
            .append("div").attr("class", "inner-box");
        // Capture the inner div for the chart (where the chart actually is)
        chart.selector = chart.settings.selector + " .inner-box";
        chart.objs.chartDiv = d3.select(chart.selector);
        d3.select(window).on('resize.' + chart.selector, chart.update);

        // Create the svg
        chart.objs.g = chart.objs.chartDiv.append("svg")
            .attr("class", "chart-area")
            .attr("width", chart.width + (chart.margin.left + chart.margin.right))
            .attr("height", chart.height + (chart.margin.top + chart.margin.bottom))
            .append("g")
            .attr("transform", "translate(" + chart.margin.left + "," + chart.margin.top + ")");

        // Create axes
        chart.objs.axes = chart.objs.g.append("g").attr("class", "axis");
        chart.objs.axes.append("g")
            .attr("class", "x axis")
            .attr("transform", "translate(0," + chart.height + ")")
            .call(chart.objs.xAxis);
        chart.objs.axes.append("g")
            .attr("class", "y axis")
            .call(chart.objs.yAxis)
            .append("text")
            //.attr("class", "label")
            .attr("transform", "rotate(-90)")
            //.attr("y", -42)
            .attr("y", 6)
            .attr("dy", ".71em")
            //.attr("x", -chart.height / 2)
            .style("text-anchor", "end")
            .style("font-size", "16px")
            .append("a")
            .attr("xlink:href", function(d) {
                label = chart.yAxisLable.toLowerCase()
                charidx = label.indexOf(' ')
                if (charidx > 1) { label = label.substr(0, charidx); }
                charidx = label.indexOf('_')
                if (charidx > 1) { label = label.substr(0, charidx); }

                return "http://mriqc.readthedocs.io/en/latest/iqms/" + chart.settings.modality.toLowerCase() + ".html#iqms-" + label
            })
            .text(chart.yAxisLable)
            .on("mouseover", function () {
                chart.objs.tooltip
                    .style("display", null)
                    .style("left", (d3.event.pageX) + "px")
                    .style("top", (d3.event.pageY - 28) + "px");
            }).on("mouseout", function () {
                chart.objs.tooltip.style("display", "none");
            }).on("mousemove", axislabelHover(chart.yAxisLable));

        // Create tooltip div
        chart.objs.tooltip = chart.objs.mainDiv.append('div').attr('class', 'tooltip');
        for (var cName in chart.groupObjs) {
            chart.groupObjs[cName].g = chart.objs.g.append("g").attr("class", "group");
        }
        chart.update();
    }();

    /**
     * Render a violin plot on the current chart
     * @param options
     * @param [options.showViolinPlot=true] True or False, show the violin plot
     * @param [options.resolution=100 default]
     * @param [options.bandwidth=10 default] May need higher bandwidth for larger data sets
     * @param [options.width=50] The max percent of the group rangeBand that the violin can be
     * @param [options.interpolation=''] How to render the violin
     * @param [options.clamp=0 default]
     *   0 = keep data within chart min and max, clamp once data = 0. May extend beyond data set min and max
     *   1 = clamp at min and max of data set. Possibly no tails
     *  -1 = extend chart axis to make room for data to interpolate to 0. May extend axis and data set min and max
     * @param [options.colors=chart default] The color mapping for the violin plot
     * @returns {*} The chart object
     */
    chart.renderViolinPlot = function (options) {
        chart.violinPlots = {};

        var defaultOptions = {
            show: true,
            showViolinPlot: true,
            resolution: 100,
            bandwidth: 20,
            width: 50,
            interpolation: 'cardinal',
            clamp: 1,
            colors: chart.colorFunct,
            _yDomainVP: null // If the Violin plot is set to close all violin plots, it may need to extend the domain, that extended domain is stored here
        };
        chart.violinPlots.options = shallowCopy(defaultOptions);
        for (var option in options) {
            chart.violinPlots.options[option] = options[option]
        }
        var vOpts = chart.violinPlots.options;

        // Create violin plot objects
        for (var cName in chart.groupObjs) {
            chart.groupObjs[cName].violin = {};
            chart.groupObjs[cName].violin.objs = {};
        }

        /**
         * Take a new set of options and redraw the violin
         * @param updateOptions
         */
        chart.violinPlots.change = function (updateOptions) {
            if (updateOptions) {
                for (var key in updateOptions) {
                    vOpts[key] = updateOptions[key]
                }
            }

            for (var cName in chart.groupObjs) {
                chart.groupObjs[cName].violin.objs.g.remove()
            }

            chart.violinPlots.prepareViolin();
            chart.violinPlots.update();
        };

        chart.violinPlots.reset = function () {
            chart.violinPlots.change(defaultOptions)
        };
        chart.violinPlots.show = function (opts) {
            if (opts !== undefined) {
                opts.show = true;
                if (opts.reset) {
                    chart.violinPlots.reset()
                }
            } else {
                opts = {show: true};
            }
            chart.violinPlots.change(opts);

        };

        chart.violinPlots.hide = function (opts) {
            if (opts !== undefined) {
                opts.show = false;
                if (opts.reset) {
                    chart.violinPlots.reset()
                }
            } else {
                opts = {show: false};
            }
            chart.violinPlots.change(opts);

        };

        /**
         * Update the violin obj values
         */
        chart.violinPlots.update = function () {
            var cName, cViolinPlot;

            for (cName in chart.groupObjs) {
                cViolinPlot = chart.groupObjs[cName].violin;

                // Build the violins sideways, so use the yScale for the xScale and make a new yScale
                var xVScale = chart.yScale.copy();


                // Create the Kernel Density Estimator Function
                cViolinPlot.kde = kernelDensityEstimator(eKernel(vOpts.bandwidth), xVScale.ticks(vOpts.resolution));
                cViolinPlot.kdedata = cViolinPlot.kde(chart.groupObjs[cName].values);

                var interpolateMax = chart.groupObjs[cName].metrics.max,
                    interpolateMin = chart.groupObjs[cName].metrics.min;

                if (vOpts.clamp == 0 || vOpts.clamp == -1) { //
                    // When clamp is 0, calculate the min and max that is needed to bring the violin plot to a point
                    // interpolateMax = the Minimum value greater than the max where y = 0
                    interpolateMax = d3.min(cViolinPlot.kdedata.filter(function (d) {
                        return (d.x > chart.groupObjs[cName].metrics.max && d.y == 0)
                    }), function (d) {
                        return d.x;
                    });
                    // interpolateMin = the Maximum value less than the min where y = 0
                    interpolateMin = d3.max(cViolinPlot.kdedata.filter(function (d) {
                        return (d.x < chart.groupObjs[cName].metrics.min && d.y == 0)
                    }), function (d) {
                        return d.x;
                    });
                    // If clamp is -1 we need to extend the axes so that the violins come to a point
                    if (vOpts.clamp == -1) {
                        kdeTester = eKernelTest(eKernel(vOpts.bandwidth), chart.groupObjs[cName].values);
                        if (!interpolateMax) {
                            var interMaxY = kdeTester(chart.groupObjs[cName].metrics.max);
                            var interMaxX = chart.groupObjs[cName].metrics.max;
                            var count = 25; // Arbitrary limit to make sure we don't get an infinite loop
                            while (count > 0 && interMaxY != 0) {
                                interMaxY = kdeTester(interMaxX);
                                interMaxX += 1;
                                count -= 1;
                            }
                            interpolateMax = interMaxX;
                        }
                        if (!interpolateMin) {
                            var interMinY = kdeTester(chart.groupObjs[cName].metrics.min);
                            var interMinX = chart.groupObjs[cName].metrics.min;
                            var count = 25;  // Arbitrary limit to make sure we don't get an infinite loop
                            while (count > 0 && interMinY != 0) {
                                interMinY = kdeTester(interMinX);
                                interMinX -= 1;
                                count -= 1;
                            }
                            interpolateMin = interMinX;
                        }

                    }
                    // Check to see if the new values are outside the existing chart range
                    //   If they are assign them to the master _yDomainVP
                    if (!vOpts._yDomainVP) vOpts._yDomainVP = chart.range.slice(0);
                    if (interpolateMin && interpolateMin < vOpts._yDomainVP[0]) {
                        vOpts._yDomainVP[0] = interpolateMin;
                    }
                    if (interpolateMax && interpolateMax > vOpts._yDomainVP[1]) {
                        vOpts._yDomainVP[1] = interpolateMax;
                    }


                }


                if (vOpts.showViolinPlot) {
                    chart.update();
                    xVScale = chart.yScale.copy();

                    // Need to recalculate the KDE because the xVScale changed
                    cViolinPlot.kde = kernelDensityEstimator(eKernel(vOpts.bandwidth), xVScale.ticks(vOpts.resolution));
                    cViolinPlot.kdedata = cViolinPlot.kde(chart.groupObjs[cName].values);
                }

                cViolinPlot.kdedata = cViolinPlot.kdedata
                    .filter(function (d) {
                        return (!interpolateMin || d.x >= interpolateMin)
                    })
                    .filter(function (d) {
                        return (!interpolateMax || d.x <= interpolateMax)
                    });
            }
            for (cName in chart.groupObjs) {
                cViolinPlot = chart.groupObjs[cName].violin;

                // Get the violin width
                var objBounds = getObjWidth(vOpts.width, cName);
                var width = (objBounds.right - objBounds.left) / 2;

                var yVScale = d3.scale.linear()
                    .range([width, 0])
                    .domain([0, d3.max(cViolinPlot.kdedata, function (d) {return d.y;})])
                    .clamp(true);

                var area = d3.svg.area()
                    .interpolate(vOpts.interpolation)
                    .x(function (d) {return xVScale(d.x);})
                    .y0(width)
                    .y1(function (d) {return yVScale(d.y);});

                var line = d3.svg.line()
                    .interpolate(vOpts.interpolation)
                    .x(function (d) {return xVScale(d.x);})
                    .y(function (d) {return yVScale(d.y)});

                if (cViolinPlot.objs.left.area) {
                    cViolinPlot.objs.left.area
                        .datum(cViolinPlot.kdedata)
                        .attr("d", area);
                    cViolinPlot.objs.left.line
                        .datum(cViolinPlot.kdedata)
                        .attr("d", line);

                    cViolinPlot.objs.right.area
                        .datum(cViolinPlot.kdedata)
                        .attr("d", area);
                    cViolinPlot.objs.right.line
                        .datum(cViolinPlot.kdedata)
                        .attr("d", line);
                }

                // Rotate the violins
                cViolinPlot.objs.left.g.attr("transform", "rotate(90,0,0)   translate(0,-" + objBounds.left + ")  scale(1,-1)");
                cViolinPlot.objs.right.g.attr("transform", "rotate(90,0,0)  translate(0,-" + objBounds.right + ")");
            }
        };

        /**
         * Create the svg elements for the violin plot
         */
        chart.violinPlots.prepareViolin = function () {
            var cName, cViolinPlot;

            if (vOpts.colors) {
                chart.violinPlots.color = getColorFunct(vOpts.colors);
            } else {
                chart.violinPlots.color = chart.colorFunct
            }

            if (vOpts.show == false) {return}

            for (cName in chart.groupObjs) {
                cViolinPlot = chart.groupObjs[cName].violin;

                cViolinPlot.objs.g = chart.groupObjs[cName].g.append("g").attr("class", "violin-plot");
                cViolinPlot.objs.left = {area: null, line: null, g: null};
                cViolinPlot.objs.right = {area: null, line: null, g: null};

                cViolinPlot.objs.left.g = cViolinPlot.objs.g.append("g");
                cViolinPlot.objs.right.g = cViolinPlot.objs.g.append("g");

                if (vOpts.showViolinPlot !== false) {
                    //Area
                    cViolinPlot.objs.left.area = cViolinPlot.objs.left.g.append("path")
                        .attr("class", "area")
                        .style("fill", chart.violinPlots.color(cName));
                    cViolinPlot.objs.right.area = cViolinPlot.objs.right.g.append("path")
                        .attr("class", "area")
                        .style("fill", chart.violinPlots.color(cName));

                    //Lines
                    cViolinPlot.objs.left.line = cViolinPlot.objs.left.g.append("path")
                        .attr("class", "line")
                        .attr("fill", 'none')
                        .style("stroke", chart.violinPlots.color(cName));
                    cViolinPlot.objs.right.line = cViolinPlot.objs.right.g.append("path")
                        .attr("class", "line")
                        .attr("fill", 'none')
                        .style("stroke", chart.violinPlots.color(cName));
                }

            }

        };


        function kernelDensityEstimator(kernel, x) {
            return function (sample) {
                return x.map(function (x) {
                    return {x:x, y:d3.mean(sample, function (v) {return kernel(x - v);})};
                });
            };
        }

        function eKernel(scale) {
            return function (u) {
                return Math.abs(u /= scale) <= 1 ? .75 * (1 - u * u) / scale : 0;
            };
        }

        // Used to find the roots for adjusting violin axis
        // Given an array, find the value for a single point, even if it is not in the domain
        function eKernelTest(kernel, array) {
            return function (testX) {
                return d3.mean(array, function (v) {return kernel(testX - v);})
            }
        }

        chart.violinPlots.prepareViolin();

        d3.select(window).on('resize.' + chart.selector + '.violinPlot', chart.violinPlots.update);
        chart.violinPlots.update();
        return chart;
    };

    /**
     * Render a box plot on the current chart
     * @param options
     * @param [options.show=true] Toggle the whole plot on and off
     * @param [options.showBox=true] Show the box part of the box plot
     * @param [options.showWhiskers=true] Show the whiskers
     * @param [options.showMedian=true] Show the median line
     * @param [options.showMean=false] Show the mean line
     * @param [options.medianCSize=3] The size of the circle on the median
     * @param [options.showOutliers=true] Plot outliers
     * @param [options.boxwidth=30] The max percent of the group rangeBand that the box can be
     * @param [options.lineWidth=boxWidth] The max percent of the group rangeBand that the line can be
     * @param [options.outlierScatter=false] Spread out the outliers so they don't all overlap (in development)
     * @param [options.outlierCSize=2] Size of the outliers
     * @param [options.colors=chart default] The color mapping for the box plot
     * @returns {*} The chart object
     */
    chart.renderBoxPlot = function (options) {
        chart.boxPlots = {};

        // Defaults
        var defaultOptions = {
            show: true,
            showBox: true,
            showWhiskers: true,
            showMedian: true,
            showMean: false,
            medianCSize: 3.5,
            showOutliers: true,
            boxWidth: 30,
            lineWidth: null,
            scatterOutliers: false,
            outlierCSize: 2.5,
            colors: chart.colorFunct,
            padding: 0
        };
        chart.boxPlots.options = shallowCopy(defaultOptions);
        for (var option in options) {
            chart.boxPlots.options[option] = options[option]
        }
        var bOpts = chart.boxPlots.options;

        //Create box plot objects
        for (var cName in chart.groupObjs) {
            chart.groupObjs[cName].boxPlot = {};
            chart.groupObjs[cName].boxPlot.objs = {};
        }


        /**
         * Calculates all the outlier points for each group
         */
        !function calcAllOutliers() {

            /**
             * Create lists of the outliers for each content group
             * @param cGroup The object to modify
             * @return null Modifies the object in place
             */
            function calcOutliers(cGroup) {
                var cExtremes = [];
                var cOutliers = [];
                var cOut, idx;
                for (idx = 0; idx <= cGroup.values.length; idx++) {
                    cOut = {value: cGroup.values[idx]};

                    if (cOut.value < cGroup.metrics.lowerInnerFence) {
                        if (cOut.value < cGroup.metrics.lowerOuterFence) {
                            cExtremes.push(cOut);
                        } else {
                            cOutliers.push(cOut);
                        }
                    } else if (cOut.value > cGroup.metrics.upperInnerFence) {
                        if (cOut.value > cGroup.metrics.upperOuterFence) {
                            cExtremes.push(cOut);
                        } else {
                            cOutliers.push(cOut);
                        }
                    }
                }
                cGroup.boxPlot.objs.outliers = cOutliers;
                cGroup.boxPlot.objs.extremes = cExtremes;
            }

            for (var cName in chart.groupObjs) {
                calcOutliers(chart.groupObjs[cName]);
            }
        }();

        /**
         * Take updated options and redraw the box plot
         * @param updateOptions
         */
        chart.boxPlots.change = function (updateOptions) {
            if (updateOptions) {
                for (var key in updateOptions) {
                    bOpts[key] = updateOptions[key]
                }
            }

            for (var cName in chart.groupObjs) {
                chart.groupObjs[cName].boxPlot.objs.g.remove()
            }
            chart.boxPlots.prepareBoxPlot();
            chart.boxPlots.update()
        };

        chart.boxPlots.reset = function () {
            chart.boxPlots.change(defaultOptions)
        };
        chart.boxPlots.show = function (opts) {
            if (opts !== undefined) {
                opts.show = true;
                if (opts.reset) {
                    chart.boxPlots.reset()
                }
            } else {
                opts = {show: true};
            }
            chart.boxPlots.change(opts)

        };
        chart.boxPlots.hide = function (opts) {
            if (opts !== undefined) {
                opts.show = false;
                if (opts.reset) {
                    chart.boxPlots.reset()
                }
            } else {
                opts = {show: false};
            }
            chart.boxPlots.change(opts)
        };

        /**
         * Update the box plot obj values
         */
        chart.boxPlots.update = function () {
            var cName, cBoxPlot;

            for (cName in chart.groupObjs) {
                cBoxPlot = chart.groupObjs[cName].boxPlot;

                // Get the box width
                var objBounds = getObjWidth(bOpts.boxWidth, cName);
                objBounds.middle += chart.boxPlots.options.padding
                objBounds.right += chart.boxPlots.options.padding
                objBounds.left += chart.boxPlots.options.padding
                var width = (objBounds.right - objBounds.left);

                var sMetrics = {}; //temp var for scaled (plottable) metric values
                for (var attr in chart.groupObjs[cName].metrics) {
                    sMetrics[attr] = null;
                    sMetrics[attr] = chart.yScale(chart.groupObjs[cName].metrics[attr]);
                }

                // Box
                if (cBoxPlot.objs.box) {
                    cBoxPlot.objs.box
                        .attr("x", objBounds.left)
                        .attr('width', width)
                        .attr("y", sMetrics.quartile3)
                        .attr("rx", 1)
                        .attr("ry", 1)
                        .attr("height", -sMetrics.quartile3 + sMetrics.quartile1)
                }

                // Lines
                var lineBounds = null;
                if (bOpts.lineWidth) {
                    lineBounds = getObjWidth(bOpts.lineWidth, cName)
                } else {
                    lineBounds = objBounds
                }

                // Apply padding
                lineBounds.middle += chart.boxPlots.options.padding
                lineBounds.right += chart.boxPlots.options.padding
                lineBounds.left += chart.boxPlots.options.padding

                // --Whiskers
                if (cBoxPlot.objs.upperWhisker) {
                    cBoxPlot.objs.upperWhisker.fence
                        .attr("x1", lineBounds.left)
                        .attr("x2", lineBounds.right)
                        .attr('y1', sMetrics.upperInnerFence)
                        .attr("y2", sMetrics.upperInnerFence);
                    cBoxPlot.objs.upperWhisker.line
                        .attr("x1", lineBounds.middle)
                        .attr("x2", lineBounds.middle)
                        .attr('y1', sMetrics.quartile3)
                        .attr("y2", sMetrics.upperInnerFence);

                    cBoxPlot.objs.lowerWhisker.fence
                        .attr("x1", lineBounds.left)
                        .attr("x2", lineBounds.right)
                        .attr('y1', sMetrics.lowerInnerFence)
                        .attr("y2", sMetrics.lowerInnerFence);
                    cBoxPlot.objs.lowerWhisker.line
                        .attr("x1", lineBounds.middle)
                        .attr("x2", lineBounds.middle)
                        .attr('y1', sMetrics.quartile1)
                        .attr("y2", sMetrics.lowerInnerFence);
                }

                // --Median
                if (cBoxPlot.objs.median) {
                    cBoxPlot.objs.median.line
                        .attr("x1", lineBounds.left)
                        .attr("x2", lineBounds.right)
                        .attr('y1', sMetrics.median)
                        .attr("y2", sMetrics.median);
                    cBoxPlot.objs.median.circle
                        .attr("cx", lineBounds.middle)
                        .attr("cy", sMetrics.median)
                }

                // --Mean
                if (cBoxPlot.objs.mean) {
                    cBoxPlot.objs.mean.line
                        .attr("x1", lineBounds.left)
                        .attr("x2", lineBounds.right)
                        .attr('y1', sMetrics.mean)
                        .attr("y2", sMetrics.mean);
                    cBoxPlot.objs.mean.circle
                        .attr("cx", lineBounds.middle)
                        .attr("cy", sMetrics.mean);
                }

                // Outliers

                var pt;
                if (cBoxPlot.objs.outliers) {
                    for (pt in cBoxPlot.objs.outliers) {
                        cBoxPlot.objs.outliers[pt].point
                            .attr("cx", objBounds.middle + addJitter(bOpts.scatterOutliers, width))
                            .attr("cy", chart.yScale(cBoxPlot.objs.outliers[pt].value));
                    }
                }
                if (cBoxPlot.objs.extremes) {
                    for (pt in cBoxPlot.objs.extremes) {
                        cBoxPlot.objs.extremes[pt].point
                            .attr("cx", objBounds.middle + addJitter(bOpts.scatterOutliers, width))
                            .attr("cy", chart.yScale(cBoxPlot.objs.extremes[pt].value));
                    }
                }
            }
        };

        /**
         * Create the svg elements for the box plot
         */
        chart.boxPlots.prepareBoxPlot = function () {
            var cName, cBoxPlot;

            if (bOpts.colors) {
                chart.boxPlots.colorFunct = getColorFunct(bOpts.colors);
            } else {
                chart.boxPlots.colorFunct = chart.colorFunct
            }

            if (bOpts.show == false) {
                return
            }

            for (cName in chart.groupObjs) {
                cBoxPlot = chart.groupObjs[cName].boxPlot;

                cBoxPlot.objs.g = chart.groupObjs[cName].g.append("g").attr("class", "box-plot");

                //Plot Box (default show)
                if (bOpts.showBox) {
                    cBoxPlot.objs.box = cBoxPlot.objs.g.append("rect")
                        .attr("class", "box")
                        .style("fill", chart.boxPlots.colorFunct(cName))
                        .style("stroke", chart.boxPlots.colorFunct(cName))
                        .on("mouseover", function () {
                            chart.objs.tooltip
                                .style("display", null)
                                .style("left", (d3.event.pageX) + "px")
                                .style("top", (d3.event.pageY - 28) + "px");
                        }).on("mouseout", function () {
                            chart.objs.tooltip.style("display", "none");
                        }).on("mousemove", tooltipHover(cName, chart.groupObjs[cName].metrics));
                    //A stroke is added to the box with the group color, it is
                    // hidden by default and can be shown through css with stroke-width
                }

                //Plot Median (default show)
                if (bOpts.showMedian) {
                    cBoxPlot.objs.median = {line: null, circle: null};
                    cBoxPlot.objs.median.line = cBoxPlot.objs.g.append("line")
                        .attr("class", "median");
                    cBoxPlot.objs.median.circle = cBoxPlot.objs.g.append("circle")
                        .attr("class", "median")
                        .attr('r', bOpts.medianCSize)
                        .style("fill", chart.boxPlots.colorFunct(cName));
                }

                // Plot Mean (default no plot)
                if (bOpts.showMean) {
                    cBoxPlot.objs.mean = {line: null, circle: null};
                    cBoxPlot.objs.mean.line = cBoxPlot.objs.g.append("line")
                        .attr("class", "mean");
                    cBoxPlot.objs.mean.circle = cBoxPlot.objs.g.append("circle")
                        .attr("class", "mean")
                        .attr('r', bOpts.medianCSize)
                        .style("fill", chart.boxPlots.colorFunct(cName));
                }

                // Plot Whiskers (default show)
                if (bOpts.showWhiskers) {
                    cBoxPlot.objs.upperWhisker = {fence: null, line: null};
                    cBoxPlot.objs.lowerWhisker = {fence: null, line: null};
                    cBoxPlot.objs.upperWhisker.fence = cBoxPlot.objs.g.append("line")
                        .attr("class", "upper whisker")
                        .style("stroke", chart.boxPlots.colorFunct(cName));
                    cBoxPlot.objs.upperWhisker.line = cBoxPlot.objs.g.append("line")
                        .attr("class", "upper whisker")
                        .style("stroke", chart.boxPlots.colorFunct(cName));

                    cBoxPlot.objs.lowerWhisker.fence = cBoxPlot.objs.g.append("line")
                        .attr("class", "lower whisker")
                        .style("stroke", chart.boxPlots.colorFunct(cName));
                    cBoxPlot.objs.lowerWhisker.line = cBoxPlot.objs.g.append("line")
                        .attr("class", "lower whisker")
                        .style("stroke", chart.boxPlots.colorFunct(cName));
                }

                // Plot outliers (default show)
                if (bOpts.showOutliers) {
                    if (!cBoxPlot.objs.outliers) calcAllOutliers();
                    var pt;
                    if (cBoxPlot.objs.outliers.length) {
                        var outDiv = cBoxPlot.objs.g.append("g").attr("class", "boxplot outliers");
                        for (pt in cBoxPlot.objs.outliers) {
                            cBoxPlot.objs.outliers[pt].point = outDiv.append("circle")
                                .attr("class", "outlier")
                                .attr('r', bOpts.outlierCSize)
                                .style("fill", chart.boxPlots.colorFunct(cName));
                        }
                    }

                    if (cBoxPlot.objs.extremes.length) {
                        var extDiv = cBoxPlot.objs.g.append("g").attr("class", "boxplot extremes");
                        for (pt in cBoxPlot.objs.extremes) {
                            cBoxPlot.objs.extremes[pt].point = extDiv.append("circle")
                                .attr("class", "extreme")
                                .attr('r', bOpts.outlierCSize)
                                .style("stroke", chart.boxPlots.colorFunct(cName));
                        }
                    }
                }


            }
        };
        chart.boxPlots.prepareBoxPlot();

        d3.select(window).on('resize.' + chart.selector + '.boxPlot', chart.boxPlots.update);
        chart.boxPlots.update();
        return chart;

    };

    /**
     * Render a notched box on the current chart
     * @param options
     * @param [options.show=true] Toggle the whole plot on and off
     * @param [options.showNotchBox=true] Show the notch box
     * @param [options.showLines=false] Show lines at the confidence intervals
     * @param [options.boxWidth=35] The width of the widest part of the box
     * @param [options.medianWidth=20] The width of the narrowist part of the box
     * @param [options.lineWidth=50] The width of the confidence interval lines
     * @param [options.notchStyle=null] null=traditional style, 'box' cuts out the whole notch in right angles
     * @param [options.colors=chart default] The color mapping for the notch boxes
     * @returns {*} The chart object
     */
    chart.renderNotchBoxes = function (options) {
        chart.notchBoxes = {};

        //Defaults
        var defaultOptions = {
            show: true,
            showNotchBox: true,
            showLines: false,
            boxWidth: 35,
            medianWidth: 20,
            lineWidth: 50,
            notchStyle: null,
            colors: null
        };
        chart.notchBoxes.options = shallowCopy(defaultOptions);
        for (var option in options) {
            chart.notchBoxes.options[option] = options[option]
        }
        var nOpts = chart.notchBoxes.options;

        //Create notch objects
        for (var cName in chart.groupObjs) {
            chart.groupObjs[cName].notchBox = {};
            chart.groupObjs[cName].notchBox.objs = {};
        }

        /**
         * Makes the svg path string for a notched box
         * @param cNotch Current notch box object
         * @param notchBounds objBound object
         * @returns {string} A string in the proper format for a svg polygon
         */
        function makeNotchBox(cNotch, notchBounds) {
            var scaledValues = [];
            if (nOpts.notchStyle == 'box') {
                scaledValues = [
                    [notchBounds.boxLeft, chart.yScale(cNotch.metrics.quartile1)],
                    [notchBounds.boxLeft, chart.yScale(cNotch.metrics.lowerNotch)],
                    [notchBounds.medianLeft, chart.yScale(cNotch.metrics.lowerNotch)],
                    [notchBounds.medianLeft, chart.yScale(cNotch.metrics.median)],
                    [notchBounds.medianLeft, chart.yScale(cNotch.metrics.upperNotch)],
                    [notchBounds.boxLeft, chart.yScale(cNotch.metrics.upperNotch)],
                    [notchBounds.boxLeft, chart.yScale(cNotch.metrics.quartile3)],
                    [notchBounds.boxRight, chart.yScale(cNotch.metrics.quartile3)],
                    [notchBounds.boxRight, chart.yScale(cNotch.metrics.upperNotch)],
                    [notchBounds.medianRight, chart.yScale(cNotch.metrics.upperNotch)],
                    [notchBounds.medianRight, chart.yScale(cNotch.metrics.median)],
                    [notchBounds.medianRight, chart.yScale(cNotch.metrics.lowerNotch)],
                    [notchBounds.boxRight, chart.yScale(cNotch.metrics.lowerNotch)],
                    [notchBounds.boxRight, chart.yScale(cNotch.metrics.quartile1)]
                ];
            } else {
                scaledValues = [
                    [notchBounds.boxLeft, chart.yScale(cNotch.metrics.quartile1)],
                    [notchBounds.boxLeft, chart.yScale(cNotch.metrics.lowerNotch)],
                    [notchBounds.medianLeft, chart.yScale(cNotch.metrics.median)],
                    [notchBounds.boxLeft, chart.yScale(cNotch.metrics.upperNotch)],
                    [notchBounds.boxLeft, chart.yScale(cNotch.metrics.quartile3)],
                    [notchBounds.boxRight, chart.yScale(cNotch.metrics.quartile3)],
                    [notchBounds.boxRight, chart.yScale(cNotch.metrics.upperNotch)],
                    [notchBounds.medianRight, chart.yScale(cNotch.metrics.median)],
                    [notchBounds.boxRight, chart.yScale(cNotch.metrics.lowerNotch)],
                    [notchBounds.boxRight, chart.yScale(cNotch.metrics.quartile1)]
                ];
            }
            return scaledValues.map(function (d) {
                return [d[0], d[1]].join(",");
            }).join(" ");
        }

        /**
         * Calculate the confidence intervals
         */
        !function calcNotches() {
            var cNotch, modifier;
            for (var cName in chart.groupObjs) {
                cNotch = chart.groupObjs[cName];
                modifier = (1.57 * (cNotch.metrics.iqr / Math.sqrt(cNotch.values.length)));
                cNotch.metrics.upperNotch = cNotch.metrics.median + modifier;
                cNotch.metrics.lowerNotch = cNotch.metrics.median - modifier;
            }
        }();

        /**
         * Take a new set of options and redraw the notch boxes
         * @param updateOptions
         */
        chart.notchBoxes.change = function (updateOptions) {
            if (updateOptions) {
                for (var key in updateOptions) {
                    nOpts[key] = updateOptions[key]
                }
            }

            for (var cName in chart.groupObjs) {
                chart.groupObjs[cName].notchBox.objs.g.remove()
            }
            chart.notchBoxes.prepareNotchBoxes();
            chart.notchBoxes.update();
        };

        chart.notchBoxes.reset = function () {
            chart.notchBoxes.change(defaultOptions)
        };
        chart.notchBoxes.show = function (opts) {
            if (opts !== undefined) {
                opts.show = true;
                if (opts.reset) {
                    chart.notchBoxes.reset()
                }
            } else {
                opts = {show: true};
            }
            chart.notchBoxes.change(opts)
        };
        chart.notchBoxes.hide = function (opts) {
            if (opts !== undefined) {
                opts.show = false;
                if (opts.reset) {
                    chart.notchBoxes.reset()
                }
            } else {
                opts = {show: false};
            }
            chart.notchBoxes.change(opts)
        };

        /**
         * Update the notch box obj values
         */
        chart.notchBoxes.update = function () {
            var cName, cGroup;

            for (cName in chart.groupObjs) {
                cGroup = chart.groupObjs[cName];

                // Get the box size
                var boxBounds = getObjWidth(nOpts.boxWidth, cName);
                var medianBounds = getObjWidth(nOpts.medianWidth, cName);

                var notchBounds = {
                    boxLeft: boxBounds.left,
                    boxRight: boxBounds.right,
                    middle: boxBounds.middle,
                    medianLeft: medianBounds.left,
                    medianRight: medianBounds.right
                };

                // Notch Box
                if (cGroup.notchBox.objs.notch) {
                    cGroup.notchBox.objs.notch
                        .attr("points", makeNotchBox(cGroup, notchBounds));
                }
                if (cGroup.notchBox.objs.upperLine) {
                    var lineBounds = null;
                    if (nOpts.lineWidth) {
                        lineBounds = getObjWidth(nOpts.lineWidth, cName)
                    } else {
                        lineBounds = objBounds
                    }

                    var confidenceLines = {
                        upper: chart.yScale(cGroup.metrics.upperNotch),
                        lower: chart.yScale(cGroup.metrics.lowerNotch)
                    };
                    cGroup.notchBox.objs.upperLine
                        .attr("x1", lineBounds.left)
                        .attr("x2", lineBounds.right)
                        .attr('y1', confidenceLines.upper)
                        .attr("y2", confidenceLines.upper);
                    cGroup.notchBox.objs.lowerLine
                        .attr("x1", lineBounds.left)
                        .attr("x2", lineBounds.right)
                        .attr('y1', confidenceLines.lower)
                        .attr("y2", confidenceLines.lower);
                }
            }
        };

        /**
         * Create the svg elements for the notch boxes
         */
        chart.notchBoxes.prepareNotchBoxes = function () {
            var cName, cNotch;

            if (nOpts && nOpts.colors) {
                chart.notchBoxes.colorFunct = getColorFunct(nOpts.colors);
            } else {
                chart.notchBoxes.colorFunct = chart.colorFunct
            }

            if (nOpts.show == false) {
                return
            }

            for (cName in chart.groupObjs) {
                cNotch = chart.groupObjs[cName].notchBox;

                cNotch.objs.g = chart.groupObjs[cName].g.append("g").attr("class", "notch-plot");

                // Plot Box (default show)
                if (nOpts.showNotchBox) {
                    cNotch.objs.notch = cNotch.objs.g.append("polygon")
                        .attr("class", "notch")
                        .style("fill", chart.notchBoxes.colorFunct(cName))
                        .style("stroke", chart.notchBoxes.colorFunct(cName));
                    //A stroke is added to the notch with the group color, it is
                    // hidden by default and can be shown through css with stroke-width
                }

                //Plot Confidence Lines (default hide)
                if (nOpts.showLines) {
                    cNotch.objs.upperLine = cNotch.objs.g.append("line")
                        .attr("class", "upper confidence line")
                        .style("stroke", chart.notchBoxes.colorFunct(cName));

                    cNotch.objs.lowerLine = cNotch.objs.g.append("line")
                        .attr("class", "lower confidence line")
                        .style("stroke", chart.notchBoxes.colorFunct(cName));
                }
            }
        };
        chart.notchBoxes.prepareNotchBoxes();

        d3.select(window).on('resize.' + chart.selector + '.notchBox', chart.notchBoxes.update);
        chart.notchBoxes.update();
        return chart;
    };

    /**
     * Render a raw data in various forms
     * @param options
     * @param [options.show=true] Toggle the whole plot on and off
     * @param [options.showPlot=false] True or false, show points
     * @param [options.plotType='none'] Options: no scatter = (false or 'none'); scatter points= (true or [amount=% of width (default=10)]); beeswarm points = ('beeswarm')
     * @param [options.pointSize=6] Diameter of the circle in pizels (not the radius)
     * @param [options.showLines=['median']] Can equal any of the metrics lines
     * @param [options.showbeanLines=false] Options: no lines = false
     * @param [options.beanWidth=20] % width
     * @param [options.colors=chart default]
     * @returns {*} The chart object
     *
     */
    chart.renderDataPlots = function (options) {
        chart.dataPlots = {};


        //Defaults
        var defaultOptions = {
            show: true,
            showPlot: false,
            plotType: 'none',
            pointSize: 6,
            showLines: false,//['median'],
            showBeanLines: false,
            beanWidth: 20,
            colors: null,
            padding: 0
        };
        chart.dataPlots.options = shallowCopy(defaultOptions);
        for (var option in options) {
            chart.dataPlots.options[option] = options[option]
        }
        var dOpts = chart.dataPlots.options;

        //Create notch objects
        for (var cName in chart.groupObjs) {
            chart.groupObjs[cName].dataPlots = {};
            chart.groupObjs[cName].dataPlots.objs = {};
        }
        // The lines don't fit into a group bucket so they live under the dataPlot object
        chart.dataPlots.objs = {};

        /**
         * Take updated options and redraw the data plots
         * @param updateOptions
         */
        chart.dataPlots.change = function (updateOptions) {
            if (updateOptions) {
                for (var key in updateOptions) {
                    dOpts[key] = updateOptions[key]
                }
            }

            chart.dataPlots.objs.g.remove();
            for (var cName in chart.groupObjs) {
                chart.groupObjs[cName].dataPlots.objs.g.remove()
            }
            chart.dataPlots.preparePlots();
            chart.dataPlots.update()
        };

        chart.dataPlots.reset = function () {
            chart.dataPlots.change(defaultOptions)
        };
        chart.dataPlots.show = function (opts) {
            if (opts !== undefined) {
                opts.show = true;
                if (opts.reset) {
                    chart.dataPlots.reset()
                }
            } else {
                opts = {show: true};
            }
            chart.dataPlots.change(opts)
        };
        chart.dataPlots.hide = function (opts) {
            if (opts !== undefined) {
                opts.show = false;
                if (opts.reset) {
                    chart.dataPlots.reset()
                }
            } else {
                opts = {show: false};
            }
            chart.dataPlots.change(opts)
        };

        /**
         * Update the data plot obj values
         */
        chart.dataPlots.update = function () {
            var cName, cGroup, cPlot;

            // Metrics lines
            if (chart.dataPlots.objs.g) {
                var halfBand = chart.xScale.rangeBand() / 2; // find the middle of each band
                for (var cMetric in chart.dataPlots.objs.lines) {
                    chart.dataPlots.objs.lines[cMetric].line
                        .x(function (d) {
                            return chart.xScale(d.x) + halfBand
                        });
                    chart.dataPlots.objs.lines[cMetric].g
                        .datum(chart.dataPlots.objs.lines[cMetric].values)
                        .attr('d', chart.dataPlots.objs.lines[cMetric].line);
                }
            }


            for (cName in chart.groupObjs) {
                cGroup = chart.groupObjs[cName];
                cPlot = cGroup.dataPlots;

                if (cPlot.objs.points) {
                    if (dOpts.plotType == 'beeswarm') {
                        var swarmBounds = getObjWidth(100, cName);
                        var yPtScale = chart.yScale.copy()
                            .range([Math.floor(chart.yScale.range()[0] / dOpts.pointSize), 0])
                            .interpolate(d3.interpolateRound)
                            .domain(chart.yScale.domain());
                        var maxWidth = Math.floor(chart.xScale.rangeBand() / dOpts.pointSize);
                        var ptsObj = {};
                        var cYBucket = null;
                        //  Bucket points
                        for (var pt = 0; pt < cGroup.values.length; pt++) {
                            cYBucket = yPtScale(cGroup.values[pt]);
                            if (ptsObj.hasOwnProperty(cYBucket) !== true) {
                                ptsObj[cYBucket] = [];
                            }
                            ptsObj[cYBucket].push(cPlot.objs.points.pts[pt]
                                .attr("cx", swarmBounds.middle)
                                .attr("cy", yPtScale(cGroup.values[pt]) * dOpts.pointSize));
                        }
                        //  Plot buckets
                        var rightMax = Math.min(swarmBounds.right - dOpts.pointSize);
                        for (var row in ptsObj) {
                            var leftMin = swarmBounds.left + (Math.max((maxWidth - ptsObj[row].length) / 2, 0) * dOpts.pointSize);
                            var col = 0;
                            for (pt in ptsObj[row]) {
                                ptsObj[row][pt].attr("cx", Math.min(leftMin + col * dOpts.pointSize, rightMax) + dOpts.pointSize / 2);
                                col++
                            }
                        }
                    } else { // For scatter points and points with no scatter
                        var plotBounds = null,
                            scatterWidth = 0,
                            width = 0;
                        if (dOpts.plotType == 'scatter' || typeof dOpts.plotType == 'number') {
                            //Default scatter percentage is 20% of box width
                            scatterWidth = typeof dOpts.plotType == 'number' ? dOpts.plotType : 20;
                        }

                        plotBounds = getObjWidth(scatterWidth, cName);
                        plotBounds.middle += chart.dataPlots.options.padding
                        plotBounds.right += chart.dataPlots.options.padding
                        plotBounds.left += chart.dataPlots.options.padding
                        width = plotBounds.right - plotBounds.left;

                        for (var pt = 0; pt < cGroup.values.length; pt++) {
                            cPlot.objs.points.pts[pt]
                                .attr("cx", plotBounds.middle + addJitter(true, width))
                                .attr("cy", chart.yScale(cGroup.values[pt]));
                        }
                    }
                }


                if (cPlot.objs.bean) {
                    var beanBounds = getObjWidth(dOpts.beanWidth, cName);
                    for (var pt = 0; pt < cGroup.values.length; pt++) {
                        cPlot.objs.bean.lines[pt]
                            .attr("x1", beanBounds.left)
                            .attr("x2", beanBounds.right)
                            .attr('y1', chart.yScale(cGroup.values[pt]))
                            .attr("y2", chart.yScale(cGroup.values[pt]));
                    }
                }
            }
        };

        /**
         * Create the svg elements for the data plots
         */
        chart.dataPlots.preparePlots = function () {
            var cName, cPlot;

            if (dOpts && dOpts.colors) {
                chart.dataPlots.colorFunct = getColorFunct(dOpts.colors);
            } else {
                chart.dataPlots.colorFunct = chart.colorFunct
            }

            if (dOpts.show == false) {
                return
            }

            // Metrics lines
            chart.dataPlots.objs.g = chart.objs.g.append("g").attr("class", "metrics-lines");
            if (dOpts.showLines && dOpts.showLines.length > 0) {
                chart.dataPlots.objs.lines = {};
                var cMetric;
                for (var line in dOpts.showLines) {
                    cMetric = dOpts.showLines[line];
                    chart.dataPlots.objs.lines[cMetric] = {};
                    chart.dataPlots.objs.lines[cMetric].values = [];
                    for (var cGroup in chart.groupObjs) {
                        chart.dataPlots.objs.lines[cMetric].values.push({
                            x: cGroup,
                            y: chart.groupObjs[cGroup].metrics[cMetric]
                        })
                    }
                    chart.dataPlots.objs.lines[cMetric].line = d3.svg.line()
                        .interpolate("cardinal")
                        .y(function (d) {
                            return chart.yScale(d.y)
                        });
                    chart.dataPlots.objs.lines[cMetric].g = chart.dataPlots.objs.g.append("path")
                        .attr("class", "line " + cMetric)
                        .attr("data-metric", cMetric)
                        .style("fill", 'none')
                        .style("stroke", chart.colorFunct(cMetric));
                }

            }

            for (cName in chart.groupObjs) {

                cPlot = chart.groupObjs[cName].dataPlots;
                cPlot.objs.g = chart.groupObjs[cName].g.append("g").attr("class", "data-plot");

                // Points Plot
                if (dOpts.showPlot) {
                    cPlot.objs.points = {g: null, pts: []};
                    cPlot.objs.points.g = cPlot.objs.g.append("g").attr("class", "points-plot");
                    for (var pt = 0; pt < chart.groupObjs[cName].values.length; pt++) {
                        cPlot.objs.points.pts.push(cPlot.objs.points.g
                            .append("a")
                            .attr("xlink:href", function(d) {
                                return chart.groupObjs[cName].labels[pt] + ".html"
                            })
                            .append("circle")
                            .attr("class", "point")
                            .attr('r', dOpts.pointSize / 2)// Options is diameter, r takes radius so divide by 2
                            .style("fill", chart.dataPlots.colorFunct(cName))
                            .on("mouseover", function() {
                                chart.objs.tooltip
                                    .style("display", null)
                                    .style("left", (d3.event.pageX) + "px")
                                    .style("top", (d3.event.pageY - 28) + "px");
                            })
                            .on("mouseout", function () {
                                chart.objs.tooltip.style("display", "none");
                            })
                            .on("mousemove", pointHover(chart.groupObjs[cName].labels[pt], chart.groupObjs[cName].values[pt]))
                        );
                    }
                }


                // Bean lines
                if (dOpts.showBeanLines) {
                    cPlot.objs.bean = {g: null, lines: []};
                    cPlot.objs.bean.g = cPlot.objs.g.append("g").attr("class", "bean-plot");
                    for (var pt = 0; pt < chart.groupObjs[cName].values.length; pt++) {
                        cPlot.objs.bean.lines.push(cPlot.objs.bean.g.append("line")
                            .attr("class", "bean line")
                            .style("stroke-width", '1')
                            .style("stroke", chart.dataPlots.colorFunct(cName)));
                    }
                }
            }

        };
        chart.dataPlots.preparePlots();

        d3.select(window).on('resize.' + chart.selector + '.dataPlot', chart.dataPlots.update);
        chart.dataPlots.update();
        return chart;
    };

    return chart;
}

    </script>
    <title>MRIQC: group bold
report</title>
</head>
<body>
    <h1>MRIQC: group bold
report</h1>
<h2>Summary</h2>
<ul class="simple">
<li>Date and time: 2026-03-27, 01:06.</li>
<li>MRIQC version: 24.1.0.dev0+gd5b13cb5.d20240826.</li>
</ul>
<div class="chart-wrapper" id="chart-group0"></div>
<pre class="csvdata" id="data-csv0" style="display: none">
iqm,value,label,units
efc,0.5573,sub-01_ses-1_task-encoding_run-1_bold,
efc,0.5584,sub-01_ses-1_task-encoding_run-2_bold,
efc,0.5587,sub-01_ses-1_task-encoding_run-3_bold,
efc,0.559,sub-01_ses-1_task-encoding_run-4_bold,
efc,0.5596,sub-01_ses-1_task-encoding_run-5_bold,
efc,0.5603,sub-01_ses-1_task-encoding_run-6_bold,
efc,0.56,sub-01_ses-1_task-encoding_run-7_bold,
efc,0.5603,sub-01_ses-1_task-encoding_run-8_bold,
efc,0.5561,sub-01_ses-1_task-rest_run-1_bold,
efc,0.5565,sub-01_ses-1_task-similarity_run-1_bold,
efc,0.5588,sub-01_ses-1_task-similarity_run-2_bold,
efc,0.5478,sub-01_ses-2_task-encoding_run-1_bold,
efc,0.5483,sub-01_ses-2_task-encoding_run-2_bold,
efc,0.5488,sub-01_ses-2_task-encoding_run-3_bold,
efc,0.5497,sub-01_ses-2_task-encoding_run-4_bold,
efc,0.554,sub-01_ses-2_task-encoding_run-5_bold,
efc,0.5526,sub-01_ses-2_task-encoding_run-6_bold,
efc,0.5536,sub-01_ses-2_task-encoding_run-7_bold,
efc,0.5546,sub-01_ses-2_task-encoding_run-8_bold,
efc,0.5549,sub-01_ses-2_task-rest_run-1_bold,
efc,0.5561,sub-01_ses-2_task-similarity_run-1_bold,
efc,0.5581,sub-01_ses-2_task-similarity_run-2_bold,
efc,0.5668,sub-02_ses-1_task-encoding_run-1_bold,
efc,0.5685,sub-02_ses-1_task-encoding_run-2_bold,
efc,0.5684,sub-02_ses-1_task-encoding_run-3_bold,
efc,0.569,sub-02_ses-1_task-encoding_run-4_bold,
efc,0.5699,sub-02_ses-1_task-encoding_run-5_bold,
efc,0.5703,sub-02_ses-1_task-encoding_run-6_bold,
efc,0.5706,sub-02_ses-1_task-encoding_run-7_bold,
efc,0.5714,sub-02_ses-1_task-encoding_run-8_bold,
efc,0.5666,sub-02_ses-1_task-rest_run-1_bold,
efc,0.5718,sub-02_ses-1_task-rest_run-2_bold,
efc,0.5662,sub-02_ses-1_task-similarity_run-1_bold,
efc,0.5666,sub-02_ses-1_task-similarity_run-2_bold,
efc,0.5586,sub-02_ses-2_task-encoding_run-1_bold,
efc,0.5598,sub-02_ses-2_task-encoding_run-2_bold,
efc,0.5602,sub-02_ses-2_task-encoding_run-3_bold,
efc,0.5607,sub-02_ses-2_task-encoding_run-4_bold,
efc,0.5614,sub-02_ses-2_task-encoding_run-5_bold,
efc,0.5618,sub-02_ses-2_task-encoding_run-6_bold,
efc,0.562,sub-02_ses-2_task-encoding_run-7_bold,
efc,0.5619,sub-02_ses-2_task-encoding_run-8_bold,
efc,0.5625,sub-02_ses-2_task-rest_run-1_bold,
efc,0.5611,sub-02_ses-2_task-similarity_run-1_bold,
efc,0.5619,sub-02_ses-2_task-similarity_run-2_bold,
efc,0.5788,sub-03_ses-1_task-encoding_run-1_bold,
efc,0.5796,sub-03_ses-1_task-encoding_run-2_bold,
efc,0.5807,sub-03_ses-1_task-encoding_run-3_bold,
efc,0.5816,sub-03_ses-1_task-encoding_run-4_bold,
efc,0.582,sub-03_ses-1_task-encoding_run-5_bold,
efc,0.5823,sub-03_ses-1_task-encoding_run-6_bold,
efc,0.5823,sub-03_ses-1_task-encoding_run-7_bold,
efc,0.5827,sub-03_ses-1_task-encoding_run-8_bold,
efc,0.5773,sub-03_ses-1_task-rest_run-1_bold,
efc,0.5834,sub-03_ses-1_task-rest_run-2_bold,
efc,0.5787,sub-03_ses-1_task-similarity_run-1_bold,
efc,0.5796,sub-03_ses-1_task-similarity_run-2_bold,
efc,0.588,sub-03_ses-2_task-encoding_run-1_bold,
efc,0.5888,sub-03_ses-2_task-encoding_run-2_bold,
efc,0.5892,sub-03_ses-2_task-encoding_run-3_bold,
efc,0.5902,sub-03_ses-2_task-encoding_run-4_bold,
efc,0.5902,sub-03_ses-2_task-encoding_run-5_bold,
efc,0.591,sub-03_ses-2_task-encoding_run-6_bold,
efc,0.5912,sub-03_ses-2_task-encoding_run-7_bold,
efc,0.5917,sub-03_ses-2_task-encoding_run-8_bold,
efc,0.5917,sub-03_ses-2_task-rest_run-1_bold,
efc,0.5917,sub-03_ses-2_task-similarity_run-1_bold,
efc,0.5921,sub-03_ses-2_task-similarity_run-2_bold,
efc,0.5428,sub-04_ses-1_task-encoding_run-1_bold,
efc,0.543,sub-04_ses-1_task-encoding_run-2_bold,
efc,0.5431,sub-04_ses-1_task-encoding_run-3_bold,
efc,0.5431,sub-04_ses-1_task-encoding_run-4_bold,
efc,0.5428,sub-04_ses-1_task-encoding_run-5_bold,
efc,0.5428,sub-04_ses-1_task-encoding_run-6_bold,
efc,0.5432,sub-04_ses-1_task-encoding_run-7_bold,
efc,0.5435,sub-04_ses-1_task-encoding_run-8_bold,
efc,0.5383,sub-04_ses-1_task-rest_run-1_bold,
efc,0.544,sub-04_ses-1_task-rest_run-2_bold,
efc,0.5398,sub-04_ses-1_task-similarity_run-1_bold,
efc,0.5414,sub-04_ses-1_task-similarity_run-2_bold,
efc,0.5408,sub-04_ses-2_task-encoding_run-1_bold,
efc,0.541,sub-04_ses-2_task-encoding_run-2_bold,
efc,0.5419,sub-04_ses-2_task-encoding_run-3_bold,
efc,0.5424,sub-04_ses-2_task-encoding_run-4_bold,
efc,0.5434,sub-04_ses-2_task-encoding_run-5_bold,
efc,0.5447,sub-04_ses-2_task-encoding_run-6_bold,
efc,0.5458,sub-04_ses-2_task-encoding_run-7_bold,
efc,0.5469,sub-04_ses-2_task-encoding_run-8_bold,
efc,0.5482,sub-04_ses-2_task-rest_run-1_bold,
efc,0.5471,sub-04_ses-2_task-similarity_run-1_bold,
efc,0.5494,sub-04_ses-2_task-similarity_run-2_bold,
efc,0.584,sub-06_ses-1_task-encoding_run-1_bold,
efc,0.5857,sub-06_ses-1_task-encoding_run-2_bold,
efc,0.5882,sub-06_ses-1_task-encoding_run-3_bold,
efc,0.5897,sub-06_ses-1_task-encoding_run-4_bold,
efc,0.5915,sub-06_ses-1_task-encoding_run-5_bold,
efc,0.5921,sub-06_ses-1_task-encoding_run-6_bold,
efc,0.5932,sub-06_ses-1_task-encoding_run-7_bold,
efc,0.5946,sub-06_ses-1_task-encoding_run-8_bold,
efc,0.5791,sub-06_ses-1_task-rest_run-1_bold,
efc,0.5951,sub-06_ses-1_task-rest_run-2_bold,
efc,0.5812,sub-06_ses-1_task-similarity_run-1_bold,
efc,0.5826,sub-06_ses-1_task-similarity_run-2_bold,
efc,0.5748,sub-06_ses-2_task-encoding_run-1_bold,
efc,0.5762,sub-06_ses-2_task-encoding_run-2_bold,
efc,0.5774,sub-06_ses-2_task-encoding_run-3_bold,
efc,0.5795,sub-06_ses-2_task-encoding_run-4_bold,
efc,0.5799,sub-06_ses-2_task-encoding_run-5_bold,
efc,0.5818,sub-06_ses-2_task-encoding_run-6_bold,
efc,0.5833,sub-06_ses-2_task-encoding_run-7_bold,
efc,0.5858,sub-06_ses-2_task-encoding_run-8_bold,
efc,0.5864,sub-06_ses-2_task-rest_run-1_bold,
efc,0.5862,sub-06_ses-2_task-similarity_run-1_bold,
efc,0.5913,sub-06_ses-2_task-similarity_run-2_bold,
efc,0.539,sub-08_ses-1_task-encoding_run-1_bold,
efc,0.5404,sub-08_ses-1_task-encoding_run-2_bold,
efc,0.5415,sub-08_ses-1_task-encoding_run-3_bold,
efc,0.5421,sub-08_ses-1_task-encoding_run-4_bold,
efc,0.5432,sub-08_ses-1_task-encoding_run-5_bold,
efc,0.5441,sub-08_ses-1_task-encoding_run-6_bold,
efc,0.5448,sub-08_ses-1_task-encoding_run-7_bold,
efc,0.5458,sub-08_ses-1_task-encoding_run-8_bold,
efc,0.5361,sub-08_ses-1_task-rest_run-1_bold,
efc,0.5464,sub-08_ses-1_task-rest_run-2_bold,
efc,0.538,sub-08_ses-1_task-similarity_run-1_bold,
efc,0.54,sub-08_ses-1_task-similarity_run-2_bold,
efc,0.5353,sub-08_ses-2_task-encoding_run-1_bold,
efc,0.5368,sub-08_ses-2_task-encoding_run-2_bold,
efc,0.5371,sub-08_ses-2_task-encoding_run-3_bold,
efc,0.5381,sub-08_ses-2_task-encoding_run-4_bold,
efc,0.5383,sub-08_ses-2_task-encoding_run-5_bold,
efc,0.5392,sub-08_ses-2_task-encoding_run-6_bold,
efc,0.5399,sub-08_ses-2_task-encoding_run-7_bold,
efc,0.5406,sub-08_ses-2_task-encoding_run-8_bold,
efc,0.5411,sub-08_ses-2_task-rest_run-1_bold,
efc,0.5403,sub-08_ses-2_task-similarity_run-1_bold,
efc,0.5429,sub-08_ses-2_task-similarity_run-2_bold,
efc,0.5455,sub-09_ses-1_task-encoding_run-1_bold,
efc,0.5457,sub-09_ses-1_task-encoding_run-2_bold,
efc,0.5461,sub-09_ses-1_task-encoding_run-3_bold,
efc,0.5468,sub-09_ses-1_task-encoding_run-4_bold,
efc,0.5476,sub-09_ses-1_task-encoding_run-5_bold,
efc,0.5485,sub-09_ses-1_task-encoding_run-6_bold,
efc,0.5484,sub-09_ses-1_task-encoding_run-7_bold,
efc,0.5489,sub-09_ses-1_task-encoding_run-8_bold,
efc,0.542,sub-09_ses-1_task-rest_run-1_bold,
efc,0.5491,sub-09_ses-1_task-rest_run-2_bold,
efc,0.5434,sub-09_ses-1_task-similarity_run-1_bold,
efc,0.5449,sub-09_ses-1_task-similarity_run-2_bold,
efc,0.5493,sub-09_ses-2_task-encoding_run-1_bold,
efc,0.5505,sub-09_ses-2_task-encoding_run-2_bold,
efc,0.5508,sub-09_ses-2_task-encoding_run-3_bold,
efc,0.551,sub-09_ses-2_task-encoding_run-4_bold,
efc,0.5513,sub-09_ses-2_task-encoding_run-5_bold,
efc,0.5517,sub-09_ses-2_task-encoding_run-6_bold,
efc,0.553,sub-09_ses-2_task-encoding_run-7_bold,
efc,0.5537,sub-09_ses-2_task-encoding_run-8_bold,
efc,0.5545,sub-09_ses-2_task-rest_run-1_bold,
efc,0.5545,sub-09_ses-2_task-similarity_run-1_bold,
efc,0.5567,sub-09_ses-2_task-similarity_run-2_bold,
efc,0.5393,sub-10_ses-1_task-encoding_run-1_bold,
efc,0.5401,sub-10_ses-1_task-encoding_run-2_bold,
efc,0.5409,sub-10_ses-1_task-encoding_run-3_bold,
efc,0.5419,sub-10_ses-1_task-encoding_run-4_bold,
efc,0.5424,sub-10_ses-1_task-encoding_run-5_bold,
efc,0.5434,sub-10_ses-1_task-encoding_run-6_bold,
efc,0.5435,sub-10_ses-1_task-encoding_run-7_bold,
efc,0.5443,sub-10_ses-1_task-encoding_run-8_bold,
efc,0.5354,sub-10_ses-1_task-rest_run-1_bold,
efc,0.5453,sub-10_ses-1_task-rest_run-2_bold,
efc,0.537,sub-10_ses-1_task-similarity_run-1_bold,
efc,0.5384,sub-10_ses-1_task-similarity_run-2_bold,
efc,0.5355,sub-10_ses-2_task-encoding_run-1_bold,
efc,0.5364,sub-10_ses-2_task-encoding_run-2_bold,
efc,0.537,sub-10_ses-2_task-encoding_run-3_bold,
efc,0.537,sub-10_ses-2_task-encoding_run-4_bold,
efc,0.5387,sub-10_ses-2_task-encoding_run-5_bold,
efc,0.5392,sub-10_ses-2_task-encoding_run-6_bold,
efc,0.5397,sub-10_ses-2_task-encoding_run-7_bold,
efc,0.5405,sub-10_ses-2_task-encoding_run-8_bold,
efc,0.541,sub-10_ses-2_task-rest_run-1_bold,
efc,0.5417,sub-10_ses-2_task-similarity_run-1_bold,
efc,0.5435,sub-10_ses-2_task-similarity_run-2_bold,
efc,0.5869,sub-11_ses-1_task-encoding_run-1_bold,
efc,0.587,sub-11_ses-1_task-encoding_run-2_bold,
efc,0.588,sub-11_ses-1_task-encoding_run-3_bold,
efc,0.5881,sub-11_ses-1_task-encoding_run-4_bold,
efc,0.5888,sub-11_ses-1_task-encoding_run-5_bold,
efc,0.5894,sub-11_ses-1_task-encoding_run-6_bold,
efc,0.5899,sub-11_ses-1_task-encoding_run-7_bold,
efc,0.5897,sub-11_ses-1_task-encoding_run-8_bold,
efc,0.5838,sub-11_ses-1_task-rest_run-1_bold,
efc,0.5905,sub-11_ses-1_task-rest_run-2_bold,
efc,0.5852,sub-11_ses-1_task-similarity_run-1_bold,
efc,0.5869,sub-11_ses-1_task-similarity_run-2_bold,
efc,0.5896,sub-11_ses-2_task-encoding_run-1_bold,
efc,0.5903,sub-11_ses-2_task-encoding_run-2_bold,
efc,0.5911,sub-11_ses-2_task-encoding_run-3_bold,
efc,0.5913,sub-11_ses-2_task-encoding_run-4_bold,
efc,0.5911,sub-11_ses-2_task-encoding_run-5_bold,
efc,0.5922,sub-11_ses-2_task-encoding_run-6_bold,
efc,0.5925,sub-11_ses-2_task-encoding_run-7_bold,
efc,0.5934,sub-11_ses-2_task-encoding_run-8_bold,
efc,0.594,sub-11_ses-2_task-rest_run-1_bold,
efc,0.5946,sub-11_ses-2_task-similarity_run-1_bold,
efc,0.5955,sub-11_ses-2_task-similarity_run-2_bold,
efc,0.5224,sub-13_ses-1_task-encoding_run-1_bold,
efc,0.5224,sub-13_ses-1_task-encoding_run-2_bold,
efc,0.523,sub-13_ses-1_task-encoding_run-3_bold,
efc,0.5232,sub-13_ses-1_task-encoding_run-4_bold,
efc,0.5234,sub-13_ses-1_task-encoding_run-5_bold,
efc,0.5237,sub-13_ses-1_task-encoding_run-6_bold,
efc,0.5242,sub-13_ses-1_task-encoding_run-7_bold,
efc,0.5244,sub-13_ses-1_task-encoding_run-8_bold,
efc,0.5191,sub-13_ses-1_task-rest_run-1_bold,
efc,0.5247,sub-13_ses-1_task-rest_run-2_bold,
efc,0.5197,sub-13_ses-1_task-similarity_run-1_bold,
efc,0.5213,sub-13_ses-1_task-similarity_run-2_bold,
efc,0.5173,sub-13_ses-2_task-encoding_run-1_bold,
efc,0.5177,sub-13_ses-2_task-encoding_run-2_bold,
efc,0.5182,sub-13_ses-2_task-encoding_run-3_bold,
efc,0.5187,sub-13_ses-2_task-encoding_run-4_bold,
efc,0.5195,sub-13_ses-2_task-encoding_run-5_bold,
efc,0.5202,sub-13_ses-2_task-encoding_run-6_bold,
efc,0.521,sub-13_ses-2_task-encoding_run-7_bold,
efc,0.5221,sub-13_ses-2_task-encoding_run-8_bold,
efc,0.5228,sub-13_ses-2_task-rest_run-1_bold,
efc,0.5236,sub-13_ses-2_task-similarity_run-1_bold,
efc,0.5242,sub-13_ses-2_task-similarity_run-2_bold,
efc,0.565,sub-14_ses-1_task-encoding_run-1_bold,
efc,0.5657,sub-14_ses-1_task-encoding_run-2_bold,
efc,0.5659,sub-14_ses-1_task-encoding_run-3_bold,
efc,0.566,sub-14_ses-1_task-encoding_run-4_bold,
efc,0.5665,sub-14_ses-1_task-encoding_run-5_bold,
efc,0.5669,sub-14_ses-1_task-encoding_run-6_bold,
efc,0.5674,sub-14_ses-1_task-encoding_run-7_bold,
efc,0.5678,sub-14_ses-1_task-encoding_run-8_bold,
efc,0.5621,sub-14_ses-1_task-rest_run-1_bold,
efc,0.5679,sub-14_ses-1_task-rest_run-2_bold,
efc,0.5633,sub-14_ses-1_task-similarity_run-1_bold,
efc,0.5644,sub-14_ses-1_task-similarity_run-2_bold,
efc,0.567,sub-14_ses-2_task-encoding_run-1_bold,
efc,0.5679,sub-14_ses-2_task-encoding_run-2_bold,
efc,0.5688,sub-14_ses-2_task-encoding_run-3_bold,
efc,0.5691,sub-14_ses-2_task-encoding_run-4_bold,
efc,0.5692,sub-14_ses-2_task-encoding_run-5_bold,
efc,0.5699,sub-14_ses-2_task-encoding_run-6_bold,
efc,0.5698,sub-14_ses-2_task-encoding_run-7_bold,
efc,0.5696,sub-14_ses-2_task-encoding_run-8_bold,
efc,0.5704,sub-14_ses-2_task-rest_run-1_bold,
efc,0.5696,sub-14_ses-2_task-similarity_run-1_bold,
efc,0.5701,sub-14_ses-2_task-similarity_run-2_bold,
efc,0.5401,sub-16_ses-1_task-encoding_run-1_bold,
efc,0.5413,sub-16_ses-1_task-encoding_run-2_bold,
efc,0.5421,sub-16_ses-1_task-encoding_run-3_bold,
efc,0.5427,sub-16_ses-1_task-encoding_run-4_bold,
efc,0.5435,sub-16_ses-1_task-encoding_run-5_bold,
efc,0.544,sub-16_ses-1_task-encoding_run-6_bold,
efc,0.5451,sub-16_ses-1_task-encoding_run-7_bold,
efc,0.5454,sub-16_ses-1_task-encoding_run-8_bold,
efc,0.5358,sub-16_ses-1_task-rest_run-1_bold,
efc,0.5453,sub-16_ses-1_task-rest_run-2_bold,
efc,0.5374,sub-16_ses-1_task-similarity_run-1_bold,
efc,0.5388,sub-16_ses-1_task-similarity_run-2_bold,
efc,0.5409,sub-16_ses-2_task-encoding_run-1_bold,
efc,0.5421,sub-16_ses-2_task-encoding_run-2_bold,
efc,0.5428,sub-16_ses-2_task-encoding_run-3_bold,
efc,0.5438,sub-16_ses-2_task-encoding_run-4_bold,
efc,0.5442,sub-16_ses-2_task-encoding_run-5_bold,
efc,0.5456,sub-16_ses-2_task-encoding_run-6_bold,
efc,0.546,sub-16_ses-2_task-encoding_run-7_bold,
efc,0.5469,sub-16_ses-2_task-encoding_run-8_bold,
efc,0.548,sub-16_ses-2_task-rest_run-1_bold,
efc,0.548,sub-16_ses-2_task-similarity_run-1_bold,
efc,0.5501,sub-16_ses-2_task-similarity_run-2_bold,
efc,0.5649,sub-17_ses-1_task-encoding_run-1_bold,
efc,0.5655,sub-17_ses-1_task-encoding_run-2_bold,
efc,0.5664,sub-17_ses-1_task-encoding_run-3_bold,
efc,0.5676,sub-17_ses-1_task-encoding_run-4_bold,
efc,0.5683,sub-17_ses-1_task-encoding_run-5_bold,
efc,0.5691,sub-17_ses-1_task-encoding_run-6_bold,
efc,0.5696,sub-17_ses-1_task-encoding_run-7_bold,
efc,0.5702,sub-17_ses-1_task-encoding_run-8_bold,
efc,0.5631,sub-17_ses-1_task-rest_run-1_bold,
efc,0.5701,sub-17_ses-1_task-rest_run-2_bold,
efc,0.5632,sub-17_ses-1_task-similarity_run-1_bold,
efc,0.5638,sub-17_ses-1_task-similarity_run-2_bold,
efc,0.5558,sub-17_ses-2_task-encoding_run-1_bold,
efc,0.5568,sub-17_ses-2_task-encoding_run-2_bold,
efc,0.5573,sub-17_ses-2_task-encoding_run-3_bold,
efc,0.5576,sub-17_ses-2_task-encoding_run-4_bold,
efc,0.5583,sub-17_ses-2_task-encoding_run-5_bold,
efc,0.5586,sub-17_ses-2_task-encoding_run-6_bold,
efc,0.5592,sub-17_ses-2_task-encoding_run-7_bold,
efc,0.5603,sub-17_ses-2_task-encoding_run-8_bold,
efc,0.561,sub-17_ses-2_task-rest_run-1_bold,
efc,0.5617,sub-17_ses-2_task-similarity_run-1_bold,
efc,0.5641,sub-17_ses-2_task-similarity_run-2_bold,
efc,0.5367,sub-18_ses-1_task-encoding_run-1_bold,
efc,0.5364,sub-18_ses-1_task-encoding_run-2_bold,
efc,0.5379,sub-18_ses-1_task-encoding_run-3_bold,
efc,0.5391,sub-18_ses-1_task-encoding_run-4_bold,
efc,0.5402,sub-18_ses-1_task-encoding_run-5_bold,
efc,0.5412,sub-18_ses-1_task-encoding_run-6_bold,
efc,0.542,sub-18_ses-1_task-encoding_run-7_bold,
efc,0.543,sub-18_ses-1_task-encoding_run-8_bold,
efc,0.5326,sub-18_ses-1_task-rest_run-1_bold,
efc,0.5435,sub-18_ses-1_task-rest_run-2_bold,
efc,0.5345,sub-18_ses-1_task-similarity_run-1_bold,
efc,0.5361,sub-18_ses-1_task-similarity_run-2_bold,
efc,0.5292,sub-18_ses-2_task-encoding_run-1_bold,
efc,0.5302,sub-18_ses-2_task-encoding_run-2_bold,
efc,0.5305,sub-18_ses-2_task-encoding_run-3_bold,
efc,0.5313,sub-18_ses-2_task-encoding_run-4_bold,
efc,0.532,sub-18_ses-2_task-encoding_run-5_bold,
efc,0.5322,sub-18_ses-2_task-encoding_run-6_bold,
efc,0.5333,sub-18_ses-2_task-encoding_run-7_bold,
efc,0.5345,sub-18_ses-2_task-encoding_run-8_bold,
efc,0.5351,sub-18_ses-2_task-rest_run-1_bold,
efc,0.5362,sub-18_ses-2_task-similarity_run-1_bold,
efc,0.5384,sub-18_ses-2_task-similarity_run-2_bold,
efc,0.5459,sub-19_ses-1_task-encoding_run-1_bold,
efc,0.5466,sub-19_ses-1_task-encoding_run-2_bold,
efc,0.5472,sub-19_ses-1_task-encoding_run-3_bold,
efc,0.5475,sub-19_ses-1_task-encoding_run-4_bold,
efc,0.5482,sub-19_ses-1_task-encoding_run-5_bold,
efc,0.5485,sub-19_ses-1_task-encoding_run-6_bold,
efc,0.5487,sub-19_ses-1_task-encoding_run-7_bold,
efc,0.549,sub-19_ses-1_task-encoding_run-8_bold,
efc,0.5429,sub-19_ses-1_task-rest_run-1_bold,
efc,0.5494,sub-19_ses-1_task-rest_run-2_bold,
efc,0.5443,sub-19_ses-1_task-similarity_run-1_bold,
efc,0.5456,sub-19_ses-1_task-similarity_run-2_bold,
efc,0.544,sub-19_ses-2_task-encoding_run-1_bold,
efc,0.5448,sub-19_ses-2_task-encoding_run-2_bold,
efc,0.545,sub-19_ses-2_task-encoding_run-3_bold,
efc,0.5451,sub-19_ses-2_task-encoding_run-4_bold,
efc,0.5459,sub-19_ses-2_task-encoding_run-5_bold,
efc,0.5463,sub-19_ses-2_task-encoding_run-6_bold,
efc,0.5471,sub-19_ses-2_task-encoding_run-7_bold,
efc,0.5472,sub-19_ses-2_task-encoding_run-8_bold,
efc,0.5479,sub-19_ses-2_task-rest_run-1_bold,
efc,0.5475,sub-19_ses-2_task-similarity_run-1_bold,
efc,0.5499,sub-19_ses-2_task-similarity_run-2_bold,
efc,0.5391,sub-20_ses-1_task-encoding_run-1_bold,
efc,0.5398,sub-20_ses-1_task-encoding_run-2_bold,
efc,0.5404,sub-20_ses-1_task-encoding_run-3_bold,
efc,0.5412,sub-20_ses-1_task-encoding_run-4_bold,
efc,0.5417,sub-20_ses-1_task-encoding_run-5_bold,
efc,0.5422,sub-20_ses-1_task-encoding_run-6_bold,
efc,0.5425,sub-20_ses-1_task-encoding_run-7_bold,
efc,0.543,sub-20_ses-1_task-encoding_run-8_bold,
efc,0.5363,sub-20_ses-1_task-rest_run-1_bold,
efc,0.5436,sub-20_ses-1_task-rest_run-2_bold,
efc,0.5372,sub-20_ses-1_task-similarity_run-1_bold,
efc,0.5384,sub-20_ses-1_task-similarity_run-2_bold,
efc,0.5374,sub-20_ses-2_task-encoding_run-1_bold,
efc,0.5378,sub-20_ses-2_task-encoding_run-2_bold,
efc,0.5384,sub-20_ses-2_task-encoding_run-3_bold,
efc,0.5393,sub-20_ses-2_task-encoding_run-4_bold,
efc,0.54,sub-20_ses-2_task-encoding_run-5_bold,
efc,0.5405,sub-20_ses-2_task-encoding_run-6_bold,
efc,0.5411,sub-20_ses-2_task-encoding_run-7_bold,
efc,0.5412,sub-20_ses-2_task-encoding_run-8_bold,
efc,0.5417,sub-20_ses-2_task-rest_run-1_bold,
efc,0.5421,sub-20_ses-2_task-similarity_run-1_bold,
efc,0.5442,sub-20_ses-2_task-similarity_run-2_bold,
efc,0.5637,sub-25_ses-1_task-encoding_run-1_bold,
efc,0.5653,sub-25_ses-1_task-encoding_run-2_bold,
efc,0.5652,sub-25_ses-1_task-encoding_run-3_bold,
efc,0.5657,sub-25_ses-1_task-encoding_run-4_bold,
efc,0.5659,sub-25_ses-1_task-encoding_run-5_bold,
efc,0.5662,sub-25_ses-1_task-encoding_run-6_bold,
efc,0.5663,sub-25_ses-1_task-encoding_run-7_bold,
efc,0.5663,sub-25_ses-1_task-encoding_run-8_bold,
efc,0.5608,sub-25_ses-1_task-rest_run-1_bold,
efc,0.5664,sub-25_ses-1_task-rest_run-2_bold,
efc,0.5617,sub-25_ses-1_task-similarity_run-1_bold,
efc,0.5634,sub-25_ses-1_task-similarity_run-2_bold,
efc,0.5575,sub-25_ses-2_task-encoding_run-1_bold,
efc,0.5576,sub-25_ses-2_task-encoding_run-2_bold,
efc,0.5584,sub-25_ses-2_task-encoding_run-3_bold,
efc,0.5585,sub-25_ses-2_task-encoding_run-4_bold,
efc,0.559,sub-25_ses-2_task-encoding_run-5_bold,
efc,0.5595,sub-25_ses-2_task-encoding_run-6_bold,
efc,0.5595,sub-25_ses-2_task-encoding_run-7_bold,
efc,0.5597,sub-25_ses-2_task-encoding_run-8_bold,
efc,0.5603,sub-25_ses-2_task-rest_run-1_bold,
efc,0.56,sub-25_ses-2_task-similarity_run-1_bold,
efc,0.5602,sub-25_ses-2_task-similarity_run-2_bold,
efc,0.5232,sub-26_ses-1_task-encoding_run-1_bold,
efc,0.5235,sub-26_ses-1_task-encoding_run-2_bold,
efc,0.5241,sub-26_ses-1_task-encoding_run-3_bold,
efc,0.5249,sub-26_ses-1_task-encoding_run-4_bold,
efc,0.5262,sub-26_ses-1_task-encoding_run-5_bold,
efc,0.5262,sub-26_ses-1_task-encoding_run-6_bold,
efc,0.5267,sub-26_ses-1_task-encoding_run-7_bold,
efc,0.527,sub-26_ses-1_task-encoding_run-8_bold,
efc,0.5188,sub-26_ses-1_task-rest_run-1_bold,
efc,0.5276,sub-26_ses-1_task-rest_run-2_bold,
efc,0.5201,sub-26_ses-1_task-similarity_run-1_bold,
efc,0.5216,sub-26_ses-1_task-similarity_run-2_bold,
efc,0.5139,sub-26_ses-2_task-encoding_run-1_bold,
efc,0.5145,sub-26_ses-2_task-encoding_run-2_bold,
efc,0.5153,sub-26_ses-2_task-encoding_run-3_bold,
efc,0.5163,sub-26_ses-2_task-encoding_run-4_bold,
efc,0.517,sub-26_ses-2_task-encoding_run-5_bold,
efc,0.517,sub-26_ses-2_task-encoding_run-6_bold,
efc,0.5177,sub-26_ses-2_task-encoding_run-7_bold,
efc,0.518,sub-26_ses-2_task-encoding_run-8_bold,
efc,0.5183,sub-26_ses-2_task-rest_run-1_bold,
efc,0.5186,sub-26_ses-2_task-similarity_run-1_bold,
efc,0.5202,sub-26_ses-2_task-similarity_run-2_bold,
efc,0.5761,sub-27_ses-1_task-encoding_run-1_bold,
efc,0.5767,sub-27_ses-1_task-encoding_run-2_bold,
efc,0.5771,sub-27_ses-1_task-encoding_run-3_bold,
efc,0.5773,sub-27_ses-1_task-encoding_run-4_bold,
efc,0.5774,sub-27_ses-1_task-encoding_run-5_bold,
efc,0.5775,sub-27_ses-1_task-encoding_run-6_bold,
efc,0.5779,sub-27_ses-1_task-encoding_run-7_bold,
efc,0.578,sub-27_ses-1_task-encoding_run-8_bold,
efc,0.574,sub-27_ses-1_task-rest_run-1_bold,
efc,0.5777,sub-27_ses-1_task-rest_run-2_bold,
efc,0.5755,sub-27_ses-1_task-similarity_run-1_bold,
efc,0.5771,sub-27_ses-1_task-similarity_run-2_bold,
efc,0.5722,sub-27_ses-2_task-encoding_run-1_bold,
efc,0.5731,sub-27_ses-2_task-encoding_run-2_bold,
efc,0.5738,sub-27_ses-2_task-encoding_run-3_bold,
efc,0.5742,sub-27_ses-2_task-encoding_run-4_bold,
efc,0.575,sub-27_ses-2_task-encoding_run-5_bold,
efc,0.5752,sub-27_ses-2_task-encoding_run-6_bold,
efc,0.5751,sub-27_ses-2_task-encoding_run-7_bold,
efc,0.5752,sub-27_ses-2_task-encoding_run-8_bold,
efc,0.5754,sub-27_ses-2_task-rest_run-1_bold,
efc,0.5754,sub-27_ses-2_task-similarity_run-1_bold,
efc,0.5756,sub-27_ses-2_task-similarity_run-2_bold,
efc,0.5553,sub-28_ses-1_task-encoding_run-1_bold,
efc,0.5562,sub-28_ses-1_task-encoding_run-2_bold,
efc,0.5568,sub-28_ses-1_task-encoding_run-3_bold,
efc,0.5578,sub-28_ses-1_task-encoding_run-4_bold,
efc,0.558,sub-28_ses-1_task-encoding_run-5_bold,
efc,0.559,sub-28_ses-1_task-encoding_run-6_bold,
efc,0.5595,sub-28_ses-1_task-encoding_run-7_bold,
efc,0.5599,sub-28_ses-1_task-encoding_run-8_bold,
efc,0.5531,sub-28_ses-1_task-rest_run-1_bold,
efc,0.5602,sub-28_ses-1_task-rest_run-2_bold,
efc,0.5539,sub-28_ses-1_task-similarity_run-1_bold,
efc,0.5552,sub-28_ses-1_task-similarity_run-2_bold,
efc,0.5383,sub-28_ses-2_task-encoding_run-1_bold,
efc,0.539,sub-28_ses-2_task-encoding_run-2_bold,
efc,0.5396,sub-28_ses-2_task-encoding_run-3_bold,
efc,0.5401,sub-28_ses-2_task-encoding_run-4_bold,
efc,0.541,sub-28_ses-2_task-encoding_run-5_bold,
efc,0.542,sub-28_ses-2_task-encoding_run-6_bold,
efc,0.5426,sub-28_ses-2_task-encoding_run-7_bold,
efc,0.5431,sub-28_ses-2_task-encoding_run-8_bold,
efc,0.5441,sub-28_ses-2_task-rest_run-1_bold,
efc,0.5432,sub-28_ses-2_task-similarity_run-1_bold,
efc,0.5454,sub-28_ses-2_task-similarity_run-2_bold,
</pre>
<div class="chart-wrapper" id="chart-group1"></div>
<pre class="csvdata" id="data-csv1" style="display: none">
iqm,value,label,units
fber,940.0446,sub-01_ses-1_task-encoding_run-1_bold,
fber,934.5032,sub-01_ses-1_task-encoding_run-2_bold,
fber,929.3036,sub-01_ses-1_task-encoding_run-3_bold,
fber,932.126,sub-01_ses-1_task-encoding_run-4_bold,
fber,925.6384,sub-01_ses-1_task-encoding_run-5_bold,
fber,925.7583,sub-01_ses-1_task-encoding_run-6_bold,
fber,930.7073,sub-01_ses-1_task-encoding_run-7_bold,
fber,935.6678,sub-01_ses-1_task-encoding_run-8_bold,
fber,962.4044,sub-01_ses-1_task-rest_run-1_bold,
fber,958.5598,sub-01_ses-1_task-similarity_run-1_bold,
fber,948.5602,sub-01_ses-1_task-similarity_run-2_bold,
fber,1012.1611,sub-01_ses-2_task-encoding_run-1_bold,
fber,1016.3533,sub-01_ses-2_task-encoding_run-2_bold,
fber,1016.1144,sub-01_ses-2_task-encoding_run-3_bold,
fber,1019.0781,sub-01_ses-2_task-encoding_run-4_bold,
fber,1011.567,sub-01_ses-2_task-encoding_run-5_bold,
fber,1022.6716,sub-01_ses-2_task-encoding_run-6_bold,
fber,1028.6471,sub-01_ses-2_task-encoding_run-7_bold,
fber,1029.7024,sub-01_ses-2_task-encoding_run-8_bold,
fber,1040.3868,sub-01_ses-2_task-rest_run-1_bold,
fber,1039.801,sub-01_ses-2_task-similarity_run-1_bold,
fber,1019.0594,sub-01_ses-2_task-similarity_run-2_bold,
fber,718.3629,sub-02_ses-1_task-encoding_run-1_bold,
fber,705.0141,sub-02_ses-1_task-encoding_run-2_bold,
fber,705.6638,sub-02_ses-1_task-encoding_run-3_bold,
fber,698.6852,sub-02_ses-1_task-encoding_run-4_bold,
fber,691.1902,sub-02_ses-1_task-encoding_run-5_bold,
fber,686.3418,sub-02_ses-1_task-encoding_run-6_bold,
fber,689.9298,sub-02_ses-1_task-encoding_run-7_bold,
fber,679.2695,sub-02_ses-1_task-encoding_run-8_bold,
fber,688.12,sub-02_ses-1_task-rest_run-1_bold,
fber,672.1363,sub-02_ses-1_task-rest_run-2_bold,
fber,716.4436,sub-02_ses-1_task-similarity_run-1_bold,
fber,714.8776,sub-02_ses-1_task-similarity_run-2_bold,
fber,713.6189,sub-02_ses-2_task-encoding_run-1_bold,
fber,711.0176,sub-02_ses-2_task-encoding_run-2_bold,
fber,712.5406,sub-02_ses-2_task-encoding_run-3_bold,
fber,716.3435,sub-02_ses-2_task-encoding_run-4_bold,
fber,714.5961,sub-02_ses-2_task-encoding_run-5_bold,
fber,716.0078,sub-02_ses-2_task-encoding_run-6_bold,
fber,711.8243,sub-02_ses-2_task-encoding_run-7_bold,
fber,712.045,sub-02_ses-2_task-encoding_run-8_bold,
fber,706.5776,sub-02_ses-2_task-rest_run-1_bold,
fber,701.7768,sub-02_ses-2_task-similarity_run-1_bold,
fber,709.726,sub-02_ses-2_task-similarity_run-2_bold,
fber,571.4075,sub-03_ses-1_task-encoding_run-1_bold,
fber,564.5095,sub-03_ses-1_task-encoding_run-2_bold,
fber,552.7401,sub-03_ses-1_task-encoding_run-3_bold,
fber,550.3466,sub-03_ses-1_task-encoding_run-4_bold,
fber,559.3169,sub-03_ses-1_task-encoding_run-5_bold,
fber,559.5123,sub-03_ses-1_task-encoding_run-6_bold,
fber,567.3015,sub-03_ses-1_task-encoding_run-7_bold,
fber,567.6384,sub-03_ses-1_task-encoding_run-8_bold,
fber,591.0308,sub-03_ses-1_task-rest_run-1_bold,
fber,571.0784,sub-03_ses-1_task-rest_run-2_bold,
fber,593.4727,sub-03_ses-1_task-similarity_run-1_bold,
fber,583.2925,sub-03_ses-1_task-similarity_run-2_bold,
fber,544.8896,sub-03_ses-2_task-encoding_run-1_bold,
fber,540.72,sub-03_ses-2_task-encoding_run-2_bold,
fber,533.1138,sub-03_ses-2_task-encoding_run-3_bold,
fber,523.9483,sub-03_ses-2_task-encoding_run-4_bold,
fber,527.8508,sub-03_ses-2_task-encoding_run-5_bold,
fber,523.7816,sub-03_ses-2_task-encoding_run-6_bold,
fber,520.9247,sub-03_ses-2_task-encoding_run-7_bold,
fber,517.3144,sub-03_ses-2_task-encoding_run-8_bold,
fber,519.9474,sub-03_ses-2_task-rest_run-1_bold,
fber,513.2287,sub-03_ses-2_task-similarity_run-1_bold,
fber,510.4135,sub-03_ses-2_task-similarity_run-2_bold,
fber,921.089,sub-04_ses-1_task-encoding_run-1_bold,
fber,925.8545,sub-04_ses-1_task-encoding_run-2_bold,
fber,917.2903,sub-04_ses-1_task-encoding_run-3_bold,
fber,922.9222,sub-04_ses-1_task-encoding_run-4_bold,
fber,916.0387,sub-04_ses-1_task-encoding_run-5_bold,
fber,915.4543,sub-04_ses-1_task-encoding_run-6_bold,
fber,909.4137,sub-04_ses-1_task-encoding_run-7_bold,
fber,909.9747,sub-04_ses-1_task-encoding_run-8_bold,
fber,943.9631,sub-04_ses-1_task-rest_run-1_bold,
fber,903.2695,sub-04_ses-1_task-rest_run-2_bold,
fber,954.5262,sub-04_ses-1_task-similarity_run-1_bold,
fber,945.1086,sub-04_ses-1_task-similarity_run-2_bold,
fber,882.9045,sub-04_ses-2_task-encoding_run-1_bold,
fber,897.821,sub-04_ses-2_task-encoding_run-2_bold,
fber,898.0526,sub-04_ses-2_task-encoding_run-3_bold,
fber,898.26,sub-04_ses-2_task-encoding_run-4_bold,
fber,889.362,sub-04_ses-2_task-encoding_run-5_bold,
fber,885.4247,sub-04_ses-2_task-encoding_run-6_bold,
fber,879.5313,sub-04_ses-2_task-encoding_run-7_bold,
fber,875.9639,sub-04_ses-2_task-encoding_run-8_bold,
fber,863.1431,sub-04_ses-2_task-rest_run-1_bold,
fber,876.3011,sub-04_ses-2_task-similarity_run-1_bold,
fber,849.3553,sub-04_ses-2_task-similarity_run-2_bold,
fber,562.1854,sub-06_ses-1_task-encoding_run-1_bold,
fber,555.9158,sub-06_ses-1_task-encoding_run-2_bold,
fber,533.0845,sub-06_ses-1_task-encoding_run-3_bold,
fber,534.5395,sub-06_ses-1_task-encoding_run-4_bold,
fber,497.7981,sub-06_ses-1_task-encoding_run-5_bold,
fber,524.6956,sub-06_ses-1_task-encoding_run-6_bold,
fber,514.4262,sub-06_ses-1_task-encoding_run-7_bold,
fber,498.5145,sub-06_ses-1_task-encoding_run-8_bold,
fber,617.5518,sub-06_ses-1_task-rest_run-1_bold,
fber,479.7127,sub-06_ses-1_task-rest_run-2_bold,
fber,579.3285,sub-06_ses-1_task-similarity_run-1_bold,
fber,571.3948,sub-06_ses-1_task-similarity_run-2_bold,
fber,681.2705,sub-06_ses-2_task-encoding_run-1_bold,
fber,669.0848,sub-06_ses-2_task-encoding_run-2_bold,
fber,654.1361,sub-06_ses-2_task-encoding_run-3_bold,
fber,637.2188,sub-06_ses-2_task-encoding_run-4_bold,
fber,642.33,sub-06_ses-2_task-encoding_run-5_bold,
fber,621.3578,sub-06_ses-2_task-encoding_run-6_bold,
fber,614.1617,sub-06_ses-2_task-encoding_run-7_bold,
fber,598.1996,sub-06_ses-2_task-encoding_run-8_bold,
fber,597.0821,sub-06_ses-2_task-rest_run-1_bold,
fber,598.6232,sub-06_ses-2_task-similarity_run-1_bold,
fber,554.4862,sub-06_ses-2_task-similarity_run-2_bold,
fber,908.2452,sub-08_ses-1_task-encoding_run-1_bold,
fber,898.5414,sub-08_ses-1_task-encoding_run-2_bold,
fber,889.414,sub-08_ses-1_task-encoding_run-3_bold,
fber,870.806,sub-08_ses-1_task-encoding_run-4_bold,
fber,865.7969,sub-08_ses-1_task-encoding_run-5_bold,
fber,868.6411,sub-08_ses-1_task-encoding_run-6_bold,
fber,863.5302,sub-08_ses-1_task-encoding_run-7_bold,
fber,854.4597,sub-08_ses-1_task-encoding_run-8_bold,
fber,922.7284,sub-08_ses-1_task-rest_run-1_bold,
fber,849.4757,sub-08_ses-1_task-rest_run-2_bold,
fber,917.77,sub-08_ses-1_task-similarity_run-1_bold,
fber,893.7191,sub-08_ses-1_task-similarity_run-2_bold,
fber,897.146,sub-08_ses-2_task-encoding_run-1_bold,
fber,893.4547,sub-08_ses-2_task-encoding_run-2_bold,
fber,883.3608,sub-08_ses-2_task-encoding_run-3_bold,
fber,875.2894,sub-08_ses-2_task-encoding_run-4_bold,
fber,871.7512,sub-08_ses-2_task-encoding_run-5_bold,
fber,868.6423,sub-08_ses-2_task-encoding_run-6_bold,
fber,860.5696,sub-08_ses-2_task-encoding_run-7_bold,
fber,845.3655,sub-08_ses-2_task-encoding_run-8_bold,
fber,849.5521,sub-08_ses-2_task-rest_run-1_bold,
fber,854.7086,sub-08_ses-2_task-similarity_run-1_bold,
fber,836.0615,sub-08_ses-2_task-similarity_run-2_bold,
fber,1036.9921,sub-09_ses-1_task-encoding_run-1_bold,
fber,1034.022,sub-09_ses-1_task-encoding_run-2_bold,
fber,1027.2703,sub-09_ses-1_task-encoding_run-3_bold,
fber,1019.1302,sub-09_ses-1_task-encoding_run-4_bold,
fber,1017.3368,sub-09_ses-1_task-encoding_run-5_bold,
fber,1009.2715,sub-09_ses-1_task-encoding_run-6_bold,
fber,1007.6464,sub-09_ses-1_task-encoding_run-7_bold,
fber,1005.4999,sub-09_ses-1_task-encoding_run-8_bold,
fber,1068.1849,sub-09_ses-1_task-rest_run-1_bold,
fber,1003.2197,sub-09_ses-1_task-rest_run-2_bold,
fber,1070.786,sub-09_ses-1_task-similarity_run-1_bold,
fber,1061.5118,sub-09_ses-1_task-similarity_run-2_bold,
fber,1066.699,sub-09_ses-2_task-encoding_run-1_bold,
fber,1052.1656,sub-09_ses-2_task-encoding_run-2_bold,
fber,1051.8014,sub-09_ses-2_task-encoding_run-3_bold,
fber,1047.5692,sub-09_ses-2_task-encoding_run-4_bold,
fber,1042.1172,sub-09_ses-2_task-encoding_run-5_bold,
fber,1047.3745,sub-09_ses-2_task-encoding_run-6_bold,
fber,1031.8416,sub-09_ses-2_task-encoding_run-7_bold,
fber,1023.9333,sub-09_ses-2_task-encoding_run-8_bold,
fber,1020.1138,sub-09_ses-2_task-rest_run-1_bold,
fber,1017.7417,sub-09_ses-2_task-similarity_run-1_bold,
fber,990.8181,sub-09_ses-2_task-similarity_run-2_bold,
fber,963.5463,sub-10_ses-1_task-encoding_run-1_bold,
fber,968.9197,sub-10_ses-1_task-encoding_run-2_bold,
fber,967.3586,sub-10_ses-1_task-encoding_run-3_bold,
fber,963.4416,sub-10_ses-1_task-encoding_run-4_bold,
fber,950.766,sub-10_ses-1_task-encoding_run-5_bold,
fber,944.879,sub-10_ses-1_task-encoding_run-6_bold,
fber,945.9335,sub-10_ses-1_task-encoding_run-7_bold,
fber,942.9983,sub-10_ses-1_task-encoding_run-8_bold,
fber,960.8624,sub-10_ses-1_task-rest_run-1_bold,
fber,932.9072,sub-10_ses-1_task-rest_run-2_bold,
fber,977.9788,sub-10_ses-1_task-similarity_run-1_bold,
fber,974.5408,sub-10_ses-1_task-similarity_run-2_bold,
fber,958.3832,sub-10_ses-2_task-encoding_run-1_bold,
fber,964.8124,sub-10_ses-2_task-encoding_run-2_bold,
fber,967.7818,sub-10_ses-2_task-encoding_run-3_bold,
fber,970.3955,sub-10_ses-2_task-encoding_run-4_bold,
fber,966.3061,sub-10_ses-2_task-encoding_run-5_bold,
fber,962.169,sub-10_ses-2_task-encoding_run-6_bold,
fber,961.5451,sub-10_ses-2_task-encoding_run-7_bold,
fber,959.291,sub-10_ses-2_task-encoding_run-8_bold,
fber,948.5673,sub-10_ses-2_task-rest_run-1_bold,
fber,952.5752,sub-10_ses-2_task-similarity_run-1_bold,
fber,942.1974,sub-10_ses-2_task-similarity_run-2_bold,
fber,815.8179,sub-11_ses-1_task-encoding_run-1_bold,
fber,808.3585,sub-11_ses-1_task-encoding_run-2_bold,
fber,794.2724,sub-11_ses-1_task-encoding_run-3_bold,
fber,801.5911,sub-11_ses-1_task-encoding_run-4_bold,
fber,800.1025,sub-11_ses-1_task-encoding_run-5_bold,
fber,800.1312,sub-11_ses-1_task-encoding_run-6_bold,
fber,790.545,sub-11_ses-1_task-encoding_run-7_bold,
fber,791.3983,sub-11_ses-1_task-encoding_run-8_bold,
fber,836.9421,sub-11_ses-1_task-rest_run-1_bold,
fber,784.741,sub-11_ses-1_task-rest_run-2_bold,
fber,828.2007,sub-11_ses-1_task-similarity_run-1_bold,
fber,808.7133,sub-11_ses-1_task-similarity_run-2_bold,
fber,750.9919,sub-11_ses-2_task-encoding_run-1_bold,
fber,744.0558,sub-11_ses-2_task-encoding_run-2_bold,
fber,739.5293,sub-11_ses-2_task-encoding_run-3_bold,
fber,724.8107,sub-11_ses-2_task-encoding_run-4_bold,
fber,718.2166,sub-11_ses-2_task-encoding_run-5_bold,
fber,728.0453,sub-11_ses-2_task-encoding_run-6_bold,
fber,723.8912,sub-11_ses-2_task-encoding_run-7_bold,
fber,719.4257,sub-11_ses-2_task-encoding_run-8_bold,
fber,698.6375,sub-11_ses-2_task-rest_run-1_bold,
fber,702.6052,sub-11_ses-2_task-similarity_run-1_bold,
fber,700.0665,sub-11_ses-2_task-similarity_run-2_bold,
fber,1020.838,sub-13_ses-1_task-encoding_run-1_bold,
fber,1023.5546,sub-13_ses-1_task-encoding_run-2_bold,
fber,1019.7818,sub-13_ses-1_task-encoding_run-3_bold,
fber,1016.4424,sub-13_ses-1_task-encoding_run-4_bold,
fber,1017.2342,sub-13_ses-1_task-encoding_run-5_bold,
fber,1018.0259,sub-13_ses-1_task-encoding_run-6_bold,
fber,1014.5235,sub-13_ses-1_task-encoding_run-7_bold,
fber,1016.9138,sub-13_ses-1_task-encoding_run-8_bold,
fber,1038.0472,sub-13_ses-1_task-rest_run-1_bold,
fber,1017.1956,sub-13_ses-1_task-rest_run-2_bold,
fber,1054.3766,sub-13_ses-1_task-similarity_run-1_bold,
fber,1044.8391,sub-13_ses-1_task-similarity_run-2_bold,
fber,1054.7456,sub-13_ses-2_task-encoding_run-1_bold,
fber,1058.0168,sub-13_ses-2_task-encoding_run-2_bold,
fber,1057.0165,sub-13_ses-2_task-encoding_run-3_bold,
fber,1057.6975,sub-13_ses-2_task-encoding_run-4_bold,
fber,1054.8569,sub-13_ses-2_task-encoding_run-5_bold,
fber,1051.2858,sub-13_ses-2_task-encoding_run-6_bold,
fber,1046.505,sub-13_ses-2_task-encoding_run-7_bold,
fber,1041.8141,sub-13_ses-2_task-encoding_run-8_bold,
fber,1040.7271,sub-13_ses-2_task-rest_run-1_bold,
fber,1024.3269,sub-13_ses-2_task-similarity_run-1_bold,
fber,1038.199,sub-13_ses-2_task-similarity_run-2_bold,
fber,935.058,sub-14_ses-1_task-encoding_run-1_bold,
fber,921.6885,sub-14_ses-1_task-encoding_run-2_bold,
fber,920.4064,sub-14_ses-1_task-encoding_run-3_bold,
fber,919.3972,sub-14_ses-1_task-encoding_run-4_bold,
fber,919.136,sub-14_ses-1_task-encoding_run-5_bold,
fber,920.9667,sub-14_ses-1_task-encoding_run-6_bold,
fber,920.6824,sub-14_ses-1_task-encoding_run-7_bold,
fber,915.0006,sub-14_ses-1_task-encoding_run-8_bold,
fber,937.1836,sub-14_ses-1_task-rest_run-1_bold,
fber,917.688,sub-14_ses-1_task-rest_run-2_bold,
fber,944.208,sub-14_ses-1_task-similarity_run-1_bold,
fber,936.1199,sub-14_ses-1_task-similarity_run-2_bold,
fber,922.1836,sub-14_ses-2_task-encoding_run-1_bold,
fber,927.1109,sub-14_ses-2_task-encoding_run-2_bold,
fber,917.6436,sub-14_ses-2_task-encoding_run-3_bold,
fber,915.65,sub-14_ses-2_task-encoding_run-4_bold,
fber,906.1927,sub-14_ses-2_task-encoding_run-5_bold,
fber,897.2151,sub-14_ses-2_task-encoding_run-6_bold,
fber,897.3301,sub-14_ses-2_task-encoding_run-7_bold,
fber,899.4922,sub-14_ses-2_task-encoding_run-8_bold,
fber,890.1277,sub-14_ses-2_task-rest_run-1_bold,
fber,901.5406,sub-14_ses-2_task-similarity_run-1_bold,
fber,886.0367,sub-14_ses-2_task-similarity_run-2_bold,
fber,1005.7816,sub-16_ses-1_task-encoding_run-1_bold,
fber,989.8125,sub-16_ses-1_task-encoding_run-2_bold,
fber,986.4628,sub-16_ses-1_task-encoding_run-3_bold,
fber,987.9703,sub-16_ses-1_task-encoding_run-4_bold,
fber,973.893,sub-16_ses-1_task-encoding_run-5_bold,
fber,972.2318,sub-16_ses-1_task-encoding_run-6_bold,
fber,970.713,sub-16_ses-1_task-encoding_run-7_bold,
fber,959.3623,sub-16_ses-1_task-encoding_run-8_bold,
fber,1006.6427,sub-16_ses-1_task-rest_run-1_bold,
fber,947.5981,sub-16_ses-1_task-rest_run-2_bold,
fber,1017.4487,sub-16_ses-1_task-similarity_run-1_bold,
fber,1013.81,sub-16_ses-1_task-similarity_run-2_bold,
fber,1008.3005,sub-16_ses-2_task-encoding_run-1_bold,
fber,1005.7324,sub-16_ses-2_task-encoding_run-2_bold,
fber,1008.032,sub-16_ses-2_task-encoding_run-3_bold,
fber,1006.5186,sub-16_ses-2_task-encoding_run-4_bold,
fber,1012.6302,sub-16_ses-2_task-encoding_run-5_bold,
fber,999.1896,sub-16_ses-2_task-encoding_run-6_bold,
fber,1004.7147,sub-16_ses-2_task-encoding_run-7_bold,
fber,997.0116,sub-16_ses-2_task-encoding_run-8_bold,
fber,968.0645,sub-16_ses-2_task-rest_run-1_bold,
fber,943.6548,sub-16_ses-2_task-similarity_run-1_bold,
fber,925.8323,sub-16_ses-2_task-similarity_run-2_bold,
fber,721.3976,sub-17_ses-1_task-encoding_run-1_bold,
fber,731.0541,sub-17_ses-1_task-encoding_run-2_bold,
fber,727.6442,sub-17_ses-1_task-encoding_run-3_bold,
fber,716.7812,sub-17_ses-1_task-encoding_run-4_bold,
fber,717.4466,sub-17_ses-1_task-encoding_run-5_bold,
fber,711.0526,sub-17_ses-1_task-encoding_run-6_bold,
fber,707.8642,sub-17_ses-1_task-encoding_run-7_bold,
fber,711.2805,sub-17_ses-1_task-encoding_run-8_bold,
fber,730.3023,sub-17_ses-1_task-rest_run-1_bold,
fber,713.5593,sub-17_ses-1_task-rest_run-2_bold,
fber,738.5067,sub-17_ses-1_task-similarity_run-1_bold,
fber,736.5249,sub-17_ses-1_task-similarity_run-2_bold,
fber,820.3706,sub-17_ses-2_task-encoding_run-1_bold,
fber,814.059,sub-17_ses-2_task-encoding_run-2_bold,
fber,809.2822,sub-17_ses-2_task-encoding_run-3_bold,
fber,806.4095,sub-17_ses-2_task-encoding_run-4_bold,
fber,794.1981,sub-17_ses-2_task-encoding_run-5_bold,
fber,795.2111,sub-17_ses-2_task-encoding_run-6_bold,
fber,792.316,sub-17_ses-2_task-encoding_run-7_bold,
fber,783.7404,sub-17_ses-2_task-encoding_run-8_bold,
fber,777.5093,sub-17_ses-2_task-rest_run-1_bold,
fber,769.0682,sub-17_ses-2_task-similarity_run-1_bold,
fber,754.7615,sub-17_ses-2_task-similarity_run-2_bold,
fber,1140.1833,sub-18_ses-1_task-encoding_run-1_bold,
fber,1138.1595,sub-18_ses-1_task-encoding_run-2_bold,
fber,1136.0693,sub-18_ses-1_task-encoding_run-3_bold,
fber,1131.0219,sub-18_ses-1_task-encoding_run-4_bold,
fber,1130.0289,sub-18_ses-1_task-encoding_run-5_bold,
fber,1126.7893,sub-18_ses-1_task-encoding_run-6_bold,
fber,1123.6571,sub-18_ses-1_task-encoding_run-7_bold,
fber,1122.2709,sub-18_ses-1_task-encoding_run-8_bold,
fber,1119.6852,sub-18_ses-1_task-rest_run-1_bold,
fber,1119.2754,sub-18_ses-1_task-rest_run-2_bold,
fber,1138.8022,sub-18_ses-1_task-similarity_run-1_bold,
fber,1147.3945,sub-18_ses-1_task-similarity_run-2_bold,
fber,1139.5352,sub-18_ses-2_task-encoding_run-1_bold,
fber,1143.098,sub-18_ses-2_task-encoding_run-2_bold,
fber,1143.7863,sub-18_ses-2_task-encoding_run-3_bold,
fber,1144.6204,sub-18_ses-2_task-encoding_run-4_bold,
fber,1146.1173,sub-18_ses-2_task-encoding_run-5_bold,
fber,1156.9592,sub-18_ses-2_task-encoding_run-6_bold,
fber,1143.7003,sub-18_ses-2_task-encoding_run-7_bold,
fber,1138.559,sub-18_ses-2_task-encoding_run-8_bold,
fber,1135.7614,sub-18_ses-2_task-rest_run-1_bold,
fber,1147.4719,sub-18_ses-2_task-similarity_run-1_bold,
fber,1139.288,sub-18_ses-2_task-similarity_run-2_bold,
fber,783.3302,sub-19_ses-1_task-encoding_run-1_bold,
fber,776.8652,sub-19_ses-1_task-encoding_run-2_bold,
fber,769.881,sub-19_ses-1_task-encoding_run-3_bold,
fber,766.6563,sub-19_ses-1_task-encoding_run-4_bold,
fber,758.5957,sub-19_ses-1_task-encoding_run-5_bold,
fber,761.1387,sub-19_ses-1_task-encoding_run-6_bold,
fber,760.1547,sub-19_ses-1_task-encoding_run-7_bold,
fber,762.5856,sub-19_ses-1_task-encoding_run-8_bold,
fber,784.9106,sub-19_ses-1_task-rest_run-1_bold,
fber,763.6827,sub-19_ses-1_task-rest_run-2_bold,
fber,792.7251,sub-19_ses-1_task-similarity_run-1_bold,
fber,786.6393,sub-19_ses-1_task-similarity_run-2_bold,
fber,808.6401,sub-19_ses-2_task-encoding_run-1_bold,
fber,808.9542,sub-19_ses-2_task-encoding_run-2_bold,
fber,804.7329,sub-19_ses-2_task-encoding_run-3_bold,
fber,806.5555,sub-19_ses-2_task-encoding_run-4_bold,
fber,795.4423,sub-19_ses-2_task-encoding_run-5_bold,
fber,797.2446,sub-19_ses-2_task-encoding_run-6_bold,
fber,784.2199,sub-19_ses-2_task-encoding_run-7_bold,
fber,788.6205,sub-19_ses-2_task-encoding_run-8_bold,
fber,775.6846,sub-19_ses-2_task-rest_run-1_bold,
fber,786.8582,sub-19_ses-2_task-similarity_run-1_bold,
fber,765.2408,sub-19_ses-2_task-similarity_run-2_bold,
fber,1022.5696,sub-20_ses-1_task-encoding_run-1_bold,
fber,1018.7573,sub-20_ses-1_task-encoding_run-2_bold,
fber,1014.0455,sub-20_ses-1_task-encoding_run-3_bold,
fber,1008.8752,sub-20_ses-1_task-encoding_run-4_bold,
fber,1002.5614,sub-20_ses-1_task-encoding_run-5_bold,
fber,998.7902,sub-20_ses-1_task-encoding_run-6_bold,
fber,1005.8552,sub-20_ses-1_task-encoding_run-7_bold,
fber,997.8568,sub-20_ses-1_task-encoding_run-8_bold,
fber,1023.9117,sub-20_ses-1_task-rest_run-1_bold,
fber,999.6968,sub-20_ses-1_task-rest_run-2_bold,
fber,1041.507,sub-20_ses-1_task-similarity_run-1_bold,
fber,1035.7867,sub-20_ses-1_task-similarity_run-2_bold,
fber,1033.1838,sub-20_ses-2_task-encoding_run-1_bold,
fber,1037.2994,sub-20_ses-2_task-encoding_run-2_bold,
fber,1038.9521,sub-20_ses-2_task-encoding_run-3_bold,
fber,1030.8252,sub-20_ses-2_task-encoding_run-4_bold,
fber,1025.29,sub-20_ses-2_task-encoding_run-5_bold,
fber,1025.819,sub-20_ses-2_task-encoding_run-6_bold,
fber,1019.7756,sub-20_ses-2_task-encoding_run-7_bold,
fber,1022.988,sub-20_ses-2_task-encoding_run-8_bold,
fber,1022.967,sub-20_ses-2_task-rest_run-1_bold,
fber,1019.5601,sub-20_ses-2_task-similarity_run-1_bold,
fber,996.5361,sub-20_ses-2_task-similarity_run-2_bold,
fber,875.3244,sub-25_ses-1_task-encoding_run-1_bold,
fber,870.1304,sub-25_ses-1_task-encoding_run-2_bold,
fber,880.6681,sub-25_ses-1_task-encoding_run-3_bold,
fber,882.5323,sub-25_ses-1_task-encoding_run-4_bold,
fber,883.9692,sub-25_ses-1_task-encoding_run-5_bold,
fber,882.8821,sub-25_ses-1_task-encoding_run-6_bold,
fber,881.5935,sub-25_ses-1_task-encoding_run-7_bold,
fber,882.4421,sub-25_ses-1_task-encoding_run-8_bold,
fber,907.2116,sub-25_ses-1_task-rest_run-1_bold,
fber,878.4074,sub-25_ses-1_task-rest_run-2_bold,
fber,905.8475,sub-25_ses-1_task-similarity_run-1_bold,
fber,883.7262,sub-25_ses-1_task-similarity_run-2_bold,
fber,863.9537,sub-25_ses-2_task-encoding_run-1_bold,
fber,866.6948,sub-25_ses-2_task-encoding_run-2_bold,
fber,864.5046,sub-25_ses-2_task-encoding_run-3_bold,
fber,865.0386,sub-25_ses-2_task-encoding_run-4_bold,
fber,866.2633,sub-25_ses-2_task-encoding_run-5_bold,
fber,863.6505,sub-25_ses-2_task-encoding_run-6_bold,
fber,861.1306,sub-25_ses-2_task-encoding_run-7_bold,
fber,855.6007,sub-25_ses-2_task-encoding_run-8_bold,
fber,854.0132,sub-25_ses-2_task-rest_run-1_bold,
fber,856.8015,sub-25_ses-2_task-similarity_run-1_bold,
fber,851.6774,sub-25_ses-2_task-similarity_run-2_bold,
fber,1022.5717,sub-26_ses-1_task-encoding_run-1_bold,
fber,1026.0165,sub-26_ses-1_task-encoding_run-2_bold,
fber,1014.1583,sub-26_ses-1_task-encoding_run-3_bold,
fber,1011.611,sub-26_ses-1_task-encoding_run-4_bold,
fber,991.1542,sub-26_ses-1_task-encoding_run-5_bold,
fber,999.517,sub-26_ses-1_task-encoding_run-6_bold,
fber,998.7871,sub-26_ses-1_task-encoding_run-7_bold,
fber,993.8616,sub-26_ses-1_task-encoding_run-8_bold,
fber,1050.3364,sub-26_ses-1_task-rest_run-1_bold,
fber,984.4041,sub-26_ses-1_task-rest_run-2_bold,
fber,1053.1376,sub-26_ses-1_task-similarity_run-1_bold,
fber,1044.3086,sub-26_ses-1_task-similarity_run-2_bold,
fber,1087.955,sub-26_ses-2_task-encoding_run-1_bold,
fber,1087.5051,sub-26_ses-2_task-encoding_run-2_bold,
fber,1084.6222,sub-26_ses-2_task-encoding_run-3_bold,
fber,1076.6896,sub-26_ses-2_task-encoding_run-4_bold,
fber,1072.2072,sub-26_ses-2_task-encoding_run-5_bold,
fber,1074.8611,sub-26_ses-2_task-encoding_run-6_bold,
fber,1069.4642,sub-26_ses-2_task-encoding_run-7_bold,
fber,1068.7668,sub-26_ses-2_task-encoding_run-8_bold,
fber,1069.6624,sub-26_ses-2_task-rest_run-1_bold,
fber,1070.2373,sub-26_ses-2_task-similarity_run-1_bold,
fber,1050.7352,sub-26_ses-2_task-similarity_run-2_bold,
fber,702.248,sub-27_ses-1_task-encoding_run-1_bold,
fber,689.2032,sub-27_ses-1_task-encoding_run-2_bold,
fber,681.3244,sub-27_ses-1_task-encoding_run-3_bold,
fber,676.4864,sub-27_ses-1_task-encoding_run-4_bold,
fber,659.6498,sub-27_ses-1_task-encoding_run-5_bold,
fber,653.0153,sub-27_ses-1_task-encoding_run-6_bold,
fber,641.5834,sub-27_ses-1_task-encoding_run-7_bold,
fber,635.5298,sub-27_ses-1_task-encoding_run-8_bold,
fber,721.118,sub-27_ses-1_task-rest_run-1_bold,
fber,638.1031,sub-27_ses-1_task-rest_run-2_bold,
fber,721.7795,sub-27_ses-1_task-similarity_run-1_bold,
fber,689.5057,sub-27_ses-1_task-similarity_run-2_bold,
fber,722.5571,sub-27_ses-2_task-encoding_run-1_bold,
fber,718.7484,sub-27_ses-2_task-encoding_run-2_bold,
fber,725.2419,sub-27_ses-2_task-encoding_run-3_bold,
fber,726.7119,sub-27_ses-2_task-encoding_run-4_bold,
fber,714.8304,sub-27_ses-2_task-encoding_run-5_bold,
fber,713.7588,sub-27_ses-2_task-encoding_run-6_bold,
fber,721.8325,sub-27_ses-2_task-encoding_run-7_bold,
fber,721.4966,sub-27_ses-2_task-encoding_run-8_bold,
fber,708.2851,sub-27_ses-2_task-rest_run-1_bold,
fber,706.8653,sub-27_ses-2_task-similarity_run-1_bold,
fber,704.2731,sub-27_ses-2_task-similarity_run-2_bold,
fber,905.1213,sub-28_ses-1_task-encoding_run-1_bold,
fber,890.4765,sub-28_ses-1_task-encoding_run-2_bold,
fber,876.3271,sub-28_ses-1_task-encoding_run-3_bold,
fber,874.8165,sub-28_ses-1_task-encoding_run-4_bold,
fber,891.6024,sub-28_ses-1_task-encoding_run-5_bold,
fber,885.6522,sub-28_ses-1_task-encoding_run-6_bold,
fber,883.0516,sub-28_ses-1_task-encoding_run-7_bold,
fber,883.5364,sub-28_ses-1_task-encoding_run-8_bold,
fber,940.0869,sub-28_ses-1_task-rest_run-1_bold,
fber,883.7892,sub-28_ses-1_task-rest_run-2_bold,
fber,935.5403,sub-28_ses-1_task-similarity_run-1_bold,
fber,916.5026,sub-28_ses-1_task-similarity_run-2_bold,
fber,1053.7599,sub-28_ses-2_task-encoding_run-1_bold,
fber,1055.9103,sub-28_ses-2_task-encoding_run-2_bold,
fber,1053.2239,sub-28_ses-2_task-encoding_run-3_bold,
fber,1049.2238,sub-28_ses-2_task-encoding_run-4_bold,
fber,1044.6475,sub-28_ses-2_task-encoding_run-5_bold,
fber,1040.9646,sub-28_ses-2_task-encoding_run-6_bold,
fber,1035.0903,sub-28_ses-2_task-encoding_run-7_bold,
fber,1028.666,sub-28_ses-2_task-encoding_run-8_bold,
fber,1013.1616,sub-28_ses-2_task-rest_run-1_bold,
fber,1021.6575,sub-28_ses-2_task-similarity_run-1_bold,
fber,994.5637,sub-28_ses-2_task-similarity_run-2_bold,
</pre>
<div class="chart-wrapper" id="chart-group2"></div>
<pre class="csvdata" id="data-csv2" style="display: none">
iqm,value,label,units
fwhm_x,2.5551,sub-01_ses-1_task-encoding_run-1_bold,mm
fwhm_x,2.5776266666666667,sub-01_ses-1_task-encoding_run-2_bold,mm
fwhm_x,2.5807466666666667,sub-01_ses-1_task-encoding_run-3_bold,mm
fwhm_x,2.55539,sub-01_ses-1_task-encoding_run-4_bold,mm
fwhm_x,2.51515,sub-01_ses-1_task-encoding_run-5_bold,mm
fwhm_x,2.549643333333333,sub-01_ses-1_task-encoding_run-6_bold,mm
fwhm_x,2.51782,sub-01_ses-1_task-encoding_run-7_bold,mm
fwhm_x,2.5242166666666668,sub-01_ses-1_task-encoding_run-8_bold,mm
fwhm_x,2.63725,sub-01_ses-1_task-rest_run-1_bold,mm
fwhm_x,2.58135,sub-01_ses-1_task-similarity_run-1_bold,mm
fwhm_x,2.6479833333333334,sub-01_ses-1_task-similarity_run-2_bold,mm
fwhm_x,2.83598,sub-01_ses-2_task-encoding_run-1_bold,mm
fwhm_x,2.80626,sub-01_ses-2_task-encoding_run-2_bold,mm
fwhm_x,2.827703333333333,sub-01_ses-2_task-encoding_run-3_bold,mm
fwhm_x,2.844163333333333,sub-01_ses-2_task-encoding_run-4_bold,mm
fwhm_x,3.035066666666667,sub-01_ses-2_task-encoding_run-5_bold,mm
fwhm_x,2.8868766666666663,sub-01_ses-2_task-encoding_run-6_bold,mm
fwhm_x,2.9105000000000003,sub-01_ses-2_task-encoding_run-7_bold,mm
fwhm_x,2.896596666666667,sub-01_ses-2_task-encoding_run-8_bold,mm
fwhm_x,2.8756566666666665,sub-01_ses-2_task-rest_run-1_bold,mm
fwhm_x,2.89801,sub-01_ses-2_task-similarity_run-1_bold,mm
fwhm_x,2.899036666666667,sub-01_ses-2_task-similarity_run-2_bold,mm
fwhm_x,2.422333333333333,sub-02_ses-1_task-encoding_run-1_bold,mm
fwhm_x,2.4119966666666666,sub-02_ses-1_task-encoding_run-2_bold,mm
fwhm_x,2.4311766666666665,sub-02_ses-1_task-encoding_run-3_bold,mm
fwhm_x,2.4491,sub-02_ses-1_task-encoding_run-4_bold,mm
fwhm_x,2.41623,sub-02_ses-1_task-encoding_run-5_bold,mm
fwhm_x,2.390503333333333,sub-02_ses-1_task-encoding_run-6_bold,mm
fwhm_x,2.419363333333333,sub-02_ses-1_task-encoding_run-7_bold,mm
fwhm_x,2.4310966666666665,sub-02_ses-1_task-encoding_run-8_bold,mm
fwhm_x,2.43957,sub-02_ses-1_task-rest_run-1_bold,mm
fwhm_x,2.4834866666666664,sub-02_ses-1_task-rest_run-2_bold,mm
fwhm_x,2.4505933333333334,sub-02_ses-1_task-similarity_run-1_bold,mm
fwhm_x,2.476163333333333,sub-02_ses-1_task-similarity_run-2_bold,mm
fwhm_x,2.56703,sub-02_ses-2_task-encoding_run-1_bold,mm
fwhm_x,2.5719066666666666,sub-02_ses-2_task-encoding_run-2_bold,mm
fwhm_x,2.58496,sub-02_ses-2_task-encoding_run-3_bold,mm
fwhm_x,2.58521,sub-02_ses-2_task-encoding_run-4_bold,mm
fwhm_x,2.6082,sub-02_ses-2_task-encoding_run-5_bold,mm
fwhm_x,2.61967,sub-02_ses-2_task-encoding_run-6_bold,mm
fwhm_x,2.608783333333333,sub-02_ses-2_task-encoding_run-7_bold,mm
fwhm_x,2.610896666666666,sub-02_ses-2_task-encoding_run-8_bold,mm
fwhm_x,2.59716,sub-02_ses-2_task-rest_run-1_bold,mm
fwhm_x,2.7252166666666664,sub-02_ses-2_task-similarity_run-1_bold,mm
fwhm_x,2.734523333333333,sub-02_ses-2_task-similarity_run-2_bold,mm
fwhm_x,2.6529966666666667,sub-03_ses-1_task-encoding_run-1_bold,mm
fwhm_x,2.6647833333333333,sub-03_ses-1_task-encoding_run-2_bold,mm
fwhm_x,2.655863333333333,sub-03_ses-1_task-encoding_run-3_bold,mm
fwhm_x,2.66686,sub-03_ses-1_task-encoding_run-4_bold,mm
fwhm_x,2.658956666666666,sub-03_ses-1_task-encoding_run-5_bold,mm
fwhm_x,2.6894033333333334,sub-03_ses-1_task-encoding_run-6_bold,mm
fwhm_x,2.69276,sub-03_ses-1_task-encoding_run-7_bold,mm
fwhm_x,2.689016666666667,sub-03_ses-1_task-encoding_run-8_bold,mm
fwhm_x,2.6180566666666665,sub-03_ses-1_task-rest_run-1_bold,mm
fwhm_x,2.68176,sub-03_ses-1_task-rest_run-2_bold,mm
fwhm_x,2.65283,sub-03_ses-1_task-similarity_run-1_bold,mm
fwhm_x,2.6946066666666666,sub-03_ses-1_task-similarity_run-2_bold,mm
fwhm_x,2.6250133333333334,sub-03_ses-2_task-encoding_run-1_bold,mm
fwhm_x,2.6345666666666667,sub-03_ses-2_task-encoding_run-2_bold,mm
fwhm_x,2.622643333333333,sub-03_ses-2_task-encoding_run-3_bold,mm
fwhm_x,2.62654,sub-03_ses-2_task-encoding_run-4_bold,mm
fwhm_x,2.59668,sub-03_ses-2_task-encoding_run-5_bold,mm
fwhm_x,2.5987733333333334,sub-03_ses-2_task-encoding_run-6_bold,mm
fwhm_x,2.613573333333333,sub-03_ses-2_task-encoding_run-7_bold,mm
fwhm_x,2.611256666666667,sub-03_ses-2_task-encoding_run-8_bold,mm
fwhm_x,2.61744,sub-03_ses-2_task-rest_run-1_bold,mm
fwhm_x,2.66297,sub-03_ses-2_task-similarity_run-1_bold,mm
fwhm_x,2.6550166666666666,sub-03_ses-2_task-similarity_run-2_bold,mm
fwhm_x,2.647823333333333,sub-04_ses-1_task-encoding_run-1_bold,mm
fwhm_x,2.639456666666667,sub-04_ses-1_task-encoding_run-2_bold,mm
fwhm_x,2.625576666666667,sub-04_ses-1_task-encoding_run-3_bold,mm
fwhm_x,2.636833333333333,sub-04_ses-1_task-encoding_run-4_bold,mm
fwhm_x,2.663953333333333,sub-04_ses-1_task-encoding_run-5_bold,mm
fwhm_x,2.6900733333333338,sub-04_ses-1_task-encoding_run-6_bold,mm
fwhm_x,2.68333,sub-04_ses-1_task-encoding_run-7_bold,mm
fwhm_x,2.7061166666666665,sub-04_ses-1_task-encoding_run-8_bold,mm
fwhm_x,2.6563266666666667,sub-04_ses-1_task-rest_run-1_bold,mm
fwhm_x,2.695456666666667,sub-04_ses-1_task-rest_run-2_bold,mm
fwhm_x,2.655263333333333,sub-04_ses-1_task-similarity_run-1_bold,mm
fwhm_x,2.660403333333333,sub-04_ses-1_task-similarity_run-2_bold,mm
fwhm_x,2.705766666666667,sub-04_ses-2_task-encoding_run-1_bold,mm
fwhm_x,2.728813333333333,sub-04_ses-2_task-encoding_run-2_bold,mm
fwhm_x,2.7180433333333336,sub-04_ses-2_task-encoding_run-3_bold,mm
fwhm_x,2.7116366666666667,sub-04_ses-2_task-encoding_run-4_bold,mm
fwhm_x,2.732113333333333,sub-04_ses-2_task-encoding_run-5_bold,mm
fwhm_x,2.7380266666666664,sub-04_ses-2_task-encoding_run-6_bold,mm
fwhm_x,2.7167,sub-04_ses-2_task-encoding_run-7_bold,mm
fwhm_x,2.7215900000000004,sub-04_ses-2_task-encoding_run-8_bold,mm
fwhm_x,2.735086666666667,sub-04_ses-2_task-rest_run-1_bold,mm
fwhm_x,2.7559766666666667,sub-04_ses-2_task-similarity_run-1_bold,mm
fwhm_x,2.737633333333333,sub-04_ses-2_task-similarity_run-2_bold,mm
fwhm_x,2.8535833333333334,sub-06_ses-1_task-encoding_run-1_bold,mm
fwhm_x,2.801956666666667,sub-06_ses-1_task-encoding_run-2_bold,mm
fwhm_x,2.84181,sub-06_ses-1_task-encoding_run-3_bold,mm
fwhm_x,2.7983666666666664,sub-06_ses-1_task-encoding_run-4_bold,mm
fwhm_x,3.0386733333333336,sub-06_ses-1_task-encoding_run-5_bold,mm
fwhm_x,2.8280133333333333,sub-06_ses-1_task-encoding_run-6_bold,mm
fwhm_x,2.810373333333333,sub-06_ses-1_task-encoding_run-7_bold,mm
fwhm_x,2.8241300000000003,sub-06_ses-1_task-encoding_run-8_bold,mm
fwhm_x,2.812953333333333,sub-06_ses-1_task-rest_run-1_bold,mm
fwhm_x,2.9154433333333336,sub-06_ses-1_task-rest_run-2_bold,mm
fwhm_x,2.921,sub-06_ses-1_task-similarity_run-1_bold,mm
fwhm_x,2.84445,sub-06_ses-1_task-similarity_run-2_bold,mm
fwhm_x,2.816323333333333,sub-06_ses-2_task-encoding_run-1_bold,mm
fwhm_x,2.77717,sub-06_ses-2_task-encoding_run-2_bold,mm
fwhm_x,2.80599,sub-06_ses-2_task-encoding_run-3_bold,mm
fwhm_x,2.8376433333333337,sub-06_ses-2_task-encoding_run-4_bold,mm
fwhm_x,2.80822,sub-06_ses-2_task-encoding_run-5_bold,mm
fwhm_x,2.824543333333333,sub-06_ses-2_task-encoding_run-6_bold,mm
fwhm_x,2.812143333333333,sub-06_ses-2_task-encoding_run-7_bold,mm
fwhm_x,2.86821,sub-06_ses-2_task-encoding_run-8_bold,mm
fwhm_x,2.840263333333333,sub-06_ses-2_task-rest_run-1_bold,mm
fwhm_x,2.8372266666666666,sub-06_ses-2_task-similarity_run-1_bold,mm
fwhm_x,2.883703333333333,sub-06_ses-2_task-similarity_run-2_bold,mm
fwhm_x,2.871776666666667,sub-08_ses-1_task-encoding_run-1_bold,mm
fwhm_x,2.8548566666666666,sub-08_ses-1_task-encoding_run-2_bold,mm
fwhm_x,2.870566666666667,sub-08_ses-1_task-encoding_run-3_bold,mm
fwhm_x,2.8994966666666664,sub-08_ses-1_task-encoding_run-4_bold,mm
fwhm_x,2.9064866666666664,sub-08_ses-1_task-encoding_run-5_bold,mm
fwhm_x,2.86552,sub-08_ses-1_task-encoding_run-6_bold,mm
fwhm_x,2.87548,sub-08_ses-1_task-encoding_run-7_bold,mm
fwhm_x,2.89446,sub-08_ses-1_task-encoding_run-8_bold,mm
fwhm_x,2.8681300000000003,sub-08_ses-1_task-rest_run-1_bold,mm
fwhm_x,2.895543333333333,sub-08_ses-1_task-rest_run-2_bold,mm
fwhm_x,2.87021,sub-08_ses-1_task-similarity_run-1_bold,mm
fwhm_x,2.89372,sub-08_ses-1_task-similarity_run-2_bold,mm
fwhm_x,2.9047,sub-08_ses-2_task-encoding_run-1_bold,mm
fwhm_x,2.873666666666667,sub-08_ses-2_task-encoding_run-2_bold,mm
fwhm_x,2.893,sub-08_ses-2_task-encoding_run-3_bold,mm
fwhm_x,2.8996033333333333,sub-08_ses-2_task-encoding_run-4_bold,mm
fwhm_x,2.916596666666667,sub-08_ses-2_task-encoding_run-5_bold,mm
fwhm_x,2.9063700000000003,sub-08_ses-2_task-encoding_run-6_bold,mm
fwhm_x,2.921696666666667,sub-08_ses-2_task-encoding_run-7_bold,mm
fwhm_x,2.9463566666666665,sub-08_ses-2_task-encoding_run-8_bold,mm
fwhm_x,2.912653333333333,sub-08_ses-2_task-rest_run-1_bold,mm
fwhm_x,2.938663333333333,sub-08_ses-2_task-similarity_run-1_bold,mm
fwhm_x,2.9830966666666665,sub-08_ses-2_task-similarity_run-2_bold,mm
fwhm_x,2.6144366666666667,sub-09_ses-1_task-encoding_run-1_bold,mm
fwhm_x,2.619706666666666,sub-09_ses-1_task-encoding_run-2_bold,mm
fwhm_x,2.622036666666667,sub-09_ses-1_task-encoding_run-3_bold,mm
fwhm_x,2.6332766666666667,sub-09_ses-1_task-encoding_run-4_bold,mm
fwhm_x,2.6658633333333333,sub-09_ses-1_task-encoding_run-5_bold,mm
fwhm_x,2.6647933333333333,sub-09_ses-1_task-encoding_run-6_bold,mm
fwhm_x,2.66794,sub-09_ses-1_task-encoding_run-7_bold,mm
fwhm_x,2.6570633333333333,sub-09_ses-1_task-encoding_run-8_bold,mm
fwhm_x,2.6324666666666667,sub-09_ses-1_task-rest_run-1_bold,mm
fwhm_x,2.635866666666667,sub-09_ses-1_task-rest_run-2_bold,mm
fwhm_x,2.6381533333333334,sub-09_ses-1_task-similarity_run-1_bold,mm
fwhm_x,2.63559,sub-09_ses-1_task-similarity_run-2_bold,mm
fwhm_x,2.47745,sub-09_ses-2_task-encoding_run-1_bold,mm
fwhm_x,2.43253,sub-09_ses-2_task-encoding_run-2_bold,mm
fwhm_x,2.4233333333333333,sub-09_ses-2_task-encoding_run-3_bold,mm
fwhm_x,2.44355,sub-09_ses-2_task-encoding_run-4_bold,mm
fwhm_x,2.432093333333333,sub-09_ses-2_task-encoding_run-5_bold,mm
fwhm_x,2.4237066666666665,sub-09_ses-2_task-encoding_run-6_bold,mm
fwhm_x,2.4273166666666666,sub-09_ses-2_task-encoding_run-7_bold,mm
fwhm_x,2.4224366666666666,sub-09_ses-2_task-encoding_run-8_bold,mm
fwhm_x,2.4237366666666667,sub-09_ses-2_task-rest_run-1_bold,mm
fwhm_x,2.4123533333333333,sub-09_ses-2_task-similarity_run-1_bold,mm
fwhm_x,2.52017,sub-09_ses-2_task-similarity_run-2_bold,mm
fwhm_x,3.00559,sub-10_ses-1_task-encoding_run-1_bold,mm
fwhm_x,2.9975966666666665,sub-10_ses-1_task-encoding_run-2_bold,mm
fwhm_x,3.0030533333333334,sub-10_ses-1_task-encoding_run-3_bold,mm
fwhm_x,3.0069266666666667,sub-10_ses-1_task-encoding_run-4_bold,mm
fwhm_x,3.0046533333333336,sub-10_ses-1_task-encoding_run-5_bold,mm
fwhm_x,2.9996666666666667,sub-10_ses-1_task-encoding_run-6_bold,mm
fwhm_x,3.012563333333333,sub-10_ses-1_task-encoding_run-7_bold,mm
fwhm_x,3.0138166666666666,sub-10_ses-1_task-encoding_run-8_bold,mm
fwhm_x,3.00021,sub-10_ses-1_task-rest_run-1_bold,mm
fwhm_x,3.00461,sub-10_ses-1_task-rest_run-2_bold,mm
fwhm_x,3.00129,sub-10_ses-1_task-similarity_run-1_bold,mm
fwhm_x,3.046086666666667,sub-10_ses-1_task-similarity_run-2_bold,mm
fwhm_x,2.8525733333333334,sub-10_ses-2_task-encoding_run-1_bold,mm
fwhm_x,2.857083333333333,sub-10_ses-2_task-encoding_run-2_bold,mm
fwhm_x,2.871116666666667,sub-10_ses-2_task-encoding_run-3_bold,mm
fwhm_x,2.8487,sub-10_ses-2_task-encoding_run-4_bold,mm
fwhm_x,2.860046666666667,sub-10_ses-2_task-encoding_run-5_bold,mm
fwhm_x,2.84381,sub-10_ses-2_task-encoding_run-6_bold,mm
fwhm_x,2.84646,sub-10_ses-2_task-encoding_run-7_bold,mm
fwhm_x,2.854796666666666,sub-10_ses-2_task-encoding_run-8_bold,mm
fwhm_x,2.864373333333333,sub-10_ses-2_task-rest_run-1_bold,mm
fwhm_x,2.863643333333333,sub-10_ses-2_task-similarity_run-1_bold,mm
fwhm_x,2.866046666666667,sub-10_ses-2_task-similarity_run-2_bold,mm
fwhm_x,2.4631166666666666,sub-11_ses-1_task-encoding_run-1_bold,mm
fwhm_x,2.473526666666667,sub-11_ses-1_task-encoding_run-2_bold,mm
fwhm_x,2.486803333333333,sub-11_ses-1_task-encoding_run-3_bold,mm
fwhm_x,2.4607366666666666,sub-11_ses-1_task-encoding_run-4_bold,mm
fwhm_x,2.456236666666667,sub-11_ses-1_task-encoding_run-5_bold,mm
fwhm_x,2.435023333333333,sub-11_ses-1_task-encoding_run-6_bold,mm
fwhm_x,2.45939,sub-11_ses-1_task-encoding_run-7_bold,mm
fwhm_x,2.4728666666666665,sub-11_ses-1_task-encoding_run-8_bold,mm
fwhm_x,2.4904266666666666,sub-11_ses-1_task-rest_run-1_bold,mm
fwhm_x,2.4636566666666666,sub-11_ses-1_task-rest_run-2_bold,mm
fwhm_x,2.4879666666666664,sub-11_ses-1_task-similarity_run-1_bold,mm
fwhm_x,2.5141966666666664,sub-11_ses-1_task-similarity_run-2_bold,mm
fwhm_x,2.361406666666667,sub-11_ses-2_task-encoding_run-1_bold,mm
fwhm_x,2.3612466666666667,sub-11_ses-2_task-encoding_run-2_bold,mm
fwhm_x,2.3665266666666667,sub-11_ses-2_task-encoding_run-3_bold,mm
fwhm_x,2.3743133333333333,sub-11_ses-2_task-encoding_run-4_bold,mm
fwhm_x,2.36166,sub-11_ses-2_task-encoding_run-5_bold,mm
fwhm_x,2.367336666666666,sub-11_ses-2_task-encoding_run-6_bold,mm
fwhm_x,2.359663333333333,sub-11_ses-2_task-encoding_run-7_bold,mm
fwhm_x,2.3472766666666667,sub-11_ses-2_task-encoding_run-8_bold,mm
fwhm_x,2.39849,sub-11_ses-2_task-rest_run-1_bold,mm
fwhm_x,2.374633333333333,sub-11_ses-2_task-similarity_run-1_bold,mm
fwhm_x,2.364176666666667,sub-11_ses-2_task-similarity_run-2_bold,mm
fwhm_x,2.620543333333333,sub-13_ses-1_task-encoding_run-1_bold,mm
fwhm_x,2.60896,sub-13_ses-1_task-encoding_run-2_bold,mm
fwhm_x,2.6099533333333333,sub-13_ses-1_task-encoding_run-3_bold,mm
fwhm_x,2.6211766666666665,sub-13_ses-1_task-encoding_run-4_bold,mm
fwhm_x,2.6413733333333336,sub-13_ses-1_task-encoding_run-5_bold,mm
fwhm_x,2.648033333333333,sub-13_ses-1_task-encoding_run-6_bold,mm
fwhm_x,2.6250066666666667,sub-13_ses-1_task-encoding_run-7_bold,mm
fwhm_x,2.629516666666667,sub-13_ses-1_task-encoding_run-8_bold,mm
fwhm_x,2.585976666666667,sub-13_ses-1_task-rest_run-1_bold,mm
fwhm_x,2.62859,sub-13_ses-1_task-rest_run-2_bold,mm
fwhm_x,2.577176666666667,sub-13_ses-1_task-similarity_run-1_bold,mm
fwhm_x,2.6198533333333334,sub-13_ses-1_task-similarity_run-2_bold,mm
fwhm_x,2.64642,sub-13_ses-2_task-encoding_run-1_bold,mm
fwhm_x,2.65199,sub-13_ses-2_task-encoding_run-2_bold,mm
fwhm_x,2.6454066666666667,sub-13_ses-2_task-encoding_run-3_bold,mm
fwhm_x,2.6500033333333333,sub-13_ses-2_task-encoding_run-4_bold,mm
fwhm_x,2.6371166666666666,sub-13_ses-2_task-encoding_run-5_bold,mm
fwhm_x,2.6553166666666668,sub-13_ses-2_task-encoding_run-6_bold,mm
fwhm_x,2.6682366666666666,sub-13_ses-2_task-encoding_run-7_bold,mm
fwhm_x,2.659193333333333,sub-13_ses-2_task-encoding_run-8_bold,mm
fwhm_x,2.673306666666667,sub-13_ses-2_task-rest_run-1_bold,mm
fwhm_x,2.713903333333333,sub-13_ses-2_task-similarity_run-1_bold,mm
fwhm_x,2.7109633333333334,sub-13_ses-2_task-similarity_run-2_bold,mm
fwhm_x,3.0409166666666665,sub-14_ses-1_task-encoding_run-1_bold,mm
fwhm_x,3.083106666666667,sub-14_ses-1_task-encoding_run-2_bold,mm
fwhm_x,3.09478,sub-14_ses-1_task-encoding_run-3_bold,mm
fwhm_x,3.1000300000000003,sub-14_ses-1_task-encoding_run-4_bold,mm
fwhm_x,3.0924766666666668,sub-14_ses-1_task-encoding_run-5_bold,mm
fwhm_x,3.0566033333333333,sub-14_ses-1_task-encoding_run-6_bold,mm
fwhm_x,3.06278,sub-14_ses-1_task-encoding_run-7_bold,mm
fwhm_x,3.046323333333333,sub-14_ses-1_task-encoding_run-8_bold,mm
fwhm_x,3.0503633333333333,sub-14_ses-1_task-rest_run-1_bold,mm
fwhm_x,3.0659766666666664,sub-14_ses-1_task-rest_run-2_bold,mm
fwhm_x,3.019333333333333,sub-14_ses-1_task-similarity_run-1_bold,mm
fwhm_x,3.030343333333333,sub-14_ses-1_task-similarity_run-2_bold,mm
fwhm_x,2.6001833333333333,sub-14_ses-2_task-encoding_run-1_bold,mm
fwhm_x,2.5850066666666667,sub-14_ses-2_task-encoding_run-2_bold,mm
fwhm_x,2.643116666666667,sub-14_ses-2_task-encoding_run-3_bold,mm
fwhm_x,2.597116666666667,sub-14_ses-2_task-encoding_run-4_bold,mm
fwhm_x,2.592423333333333,sub-14_ses-2_task-encoding_run-5_bold,mm
fwhm_x,2.620623333333333,sub-14_ses-2_task-encoding_run-6_bold,mm
fwhm_x,2.624303333333333,sub-14_ses-2_task-encoding_run-7_bold,mm
fwhm_x,2.634936666666667,sub-14_ses-2_task-encoding_run-8_bold,mm
fwhm_x,2.6058066666666666,sub-14_ses-2_task-rest_run-1_bold,mm
fwhm_x,2.5868433333333334,sub-14_ses-2_task-similarity_run-1_bold,mm
fwhm_x,2.59507,sub-14_ses-2_task-similarity_run-2_bold,mm
fwhm_x,2.779776666666667,sub-16_ses-1_task-encoding_run-1_bold,mm
fwhm_x,2.772566666666666,sub-16_ses-1_task-encoding_run-2_bold,mm
fwhm_x,2.7803766666666667,sub-16_ses-1_task-encoding_run-3_bold,mm
fwhm_x,2.786326666666667,sub-16_ses-1_task-encoding_run-4_bold,mm
fwhm_x,2.767473333333333,sub-16_ses-1_task-encoding_run-5_bold,mm
fwhm_x,2.7678,sub-16_ses-1_task-encoding_run-6_bold,mm
fwhm_x,2.7755666666666667,sub-16_ses-1_task-encoding_run-7_bold,mm
fwhm_x,2.765276666666667,sub-16_ses-1_task-encoding_run-8_bold,mm
fwhm_x,2.719063333333333,sub-16_ses-1_task-rest_run-1_bold,mm
fwhm_x,2.7388600000000003,sub-16_ses-1_task-rest_run-2_bold,mm
fwhm_x,2.721346666666667,sub-16_ses-1_task-similarity_run-1_bold,mm
fwhm_x,2.75854,sub-16_ses-1_task-similarity_run-2_bold,mm
fwhm_x,2.630036666666667,sub-16_ses-2_task-encoding_run-1_bold,mm
fwhm_x,2.6161600000000003,sub-16_ses-2_task-encoding_run-2_bold,mm
fwhm_x,2.6274433333333334,sub-16_ses-2_task-encoding_run-3_bold,mm
fwhm_x,2.6199533333333336,sub-16_ses-2_task-encoding_run-4_bold,mm
fwhm_x,2.6093866666666665,sub-16_ses-2_task-encoding_run-5_bold,mm
fwhm_x,2.655186666666667,sub-16_ses-2_task-encoding_run-6_bold,mm
fwhm_x,2.629,sub-16_ses-2_task-encoding_run-7_bold,mm
fwhm_x,2.638333333333333,sub-16_ses-2_task-encoding_run-8_bold,mm
fwhm_x,2.6323233333333333,sub-16_ses-2_task-rest_run-1_bold,mm
fwhm_x,2.60711,sub-16_ses-2_task-similarity_run-1_bold,mm
fwhm_x,2.594273333333333,sub-16_ses-2_task-similarity_run-2_bold,mm
fwhm_x,2.415013333333333,sub-17_ses-1_task-encoding_run-1_bold,mm
fwhm_x,2.4063266666666667,sub-17_ses-1_task-encoding_run-2_bold,mm
fwhm_x,2.408443333333333,sub-17_ses-1_task-encoding_run-3_bold,mm
fwhm_x,2.43295,sub-17_ses-1_task-encoding_run-4_bold,mm
fwhm_x,2.4659033333333333,sub-17_ses-1_task-encoding_run-5_bold,mm
fwhm_x,2.453326666666667,sub-17_ses-1_task-encoding_run-6_bold,mm
fwhm_x,2.41751,sub-17_ses-1_task-encoding_run-7_bold,mm
fwhm_x,2.4665233333333334,sub-17_ses-1_task-encoding_run-8_bold,mm
fwhm_x,2.40097,sub-17_ses-1_task-rest_run-1_bold,mm
fwhm_x,2.452366666666667,sub-17_ses-1_task-rest_run-2_bold,mm
fwhm_x,2.36326,sub-17_ses-1_task-similarity_run-1_bold,mm
fwhm_x,2.365816666666667,sub-17_ses-1_task-similarity_run-2_bold,mm
fwhm_x,2.479753333333333,sub-17_ses-2_task-encoding_run-1_bold,mm
fwhm_x,2.4980233333333333,sub-17_ses-2_task-encoding_run-2_bold,mm
fwhm_x,2.4938766666666665,sub-17_ses-2_task-encoding_run-3_bold,mm
fwhm_x,2.47908,sub-17_ses-2_task-encoding_run-4_bold,mm
fwhm_x,2.47392,sub-17_ses-2_task-encoding_run-5_bold,mm
fwhm_x,2.4654233333333333,sub-17_ses-2_task-encoding_run-6_bold,mm
fwhm_x,2.4567900000000003,sub-17_ses-2_task-encoding_run-7_bold,mm
fwhm_x,2.4673700000000003,sub-17_ses-2_task-encoding_run-8_bold,mm
fwhm_x,2.4681833333333336,sub-17_ses-2_task-rest_run-1_bold,mm
fwhm_x,2.51784,sub-17_ses-2_task-similarity_run-1_bold,mm
fwhm_x,2.49125,sub-17_ses-2_task-similarity_run-2_bold,mm
fwhm_x,2.634586666666667,sub-18_ses-1_task-encoding_run-1_bold,mm
fwhm_x,2.612713333333333,sub-18_ses-1_task-encoding_run-2_bold,mm
fwhm_x,2.617123333333333,sub-18_ses-1_task-encoding_run-3_bold,mm
fwhm_x,2.6215466666666667,sub-18_ses-1_task-encoding_run-4_bold,mm
fwhm_x,2.6198466666666667,sub-18_ses-1_task-encoding_run-5_bold,mm
fwhm_x,2.64674,sub-18_ses-1_task-encoding_run-6_bold,mm
fwhm_x,2.6529700000000003,sub-18_ses-1_task-encoding_run-7_bold,mm
fwhm_x,2.63327,sub-18_ses-1_task-encoding_run-8_bold,mm
fwhm_x,2.635593333333333,sub-18_ses-1_task-rest_run-1_bold,mm
fwhm_x,2.6171266666666666,sub-18_ses-1_task-rest_run-2_bold,mm
fwhm_x,2.65744,sub-18_ses-1_task-similarity_run-1_bold,mm
fwhm_x,2.62744,sub-18_ses-1_task-similarity_run-2_bold,mm
fwhm_x,2.6565833333333333,sub-18_ses-2_task-encoding_run-1_bold,mm
fwhm_x,2.64266,sub-18_ses-2_task-encoding_run-2_bold,mm
fwhm_x,2.672093333333333,sub-18_ses-2_task-encoding_run-3_bold,mm
fwhm_x,2.70303,sub-18_ses-2_task-encoding_run-4_bold,mm
fwhm_x,2.7186966666666668,sub-18_ses-2_task-encoding_run-5_bold,mm
fwhm_x,2.722716666666667,sub-18_ses-2_task-encoding_run-6_bold,mm
fwhm_x,2.68558,sub-18_ses-2_task-encoding_run-7_bold,mm
fwhm_x,2.7029566666666667,sub-18_ses-2_task-encoding_run-8_bold,mm
fwhm_x,2.6763366666666664,sub-18_ses-2_task-rest_run-1_bold,mm
fwhm_x,2.72601,sub-18_ses-2_task-similarity_run-1_bold,mm
fwhm_x,2.7111433333333337,sub-18_ses-2_task-similarity_run-2_bold,mm
fwhm_x,2.6680566666666667,sub-19_ses-1_task-encoding_run-1_bold,mm
fwhm_x,2.6691066666666665,sub-19_ses-1_task-encoding_run-2_bold,mm
fwhm_x,2.672746666666667,sub-19_ses-1_task-encoding_run-3_bold,mm
fwhm_x,2.67673,sub-19_ses-1_task-encoding_run-4_bold,mm
fwhm_x,2.68007,sub-19_ses-1_task-encoding_run-5_bold,mm
fwhm_x,2.644153333333333,sub-19_ses-1_task-encoding_run-6_bold,mm
fwhm_x,2.6996300000000004,sub-19_ses-1_task-encoding_run-7_bold,mm
fwhm_x,2.666873333333333,sub-19_ses-1_task-encoding_run-8_bold,mm
fwhm_x,2.70235,sub-19_ses-1_task-rest_run-1_bold,mm
fwhm_x,2.717963333333333,sub-19_ses-1_task-rest_run-2_bold,mm
fwhm_x,2.692473333333333,sub-19_ses-1_task-similarity_run-1_bold,mm
fwhm_x,2.679213333333333,sub-19_ses-1_task-similarity_run-2_bold,mm
fwhm_x,2.7378,sub-19_ses-2_task-encoding_run-1_bold,mm
fwhm_x,2.72438,sub-19_ses-2_task-encoding_run-2_bold,mm
fwhm_x,2.7168266666666665,sub-19_ses-2_task-encoding_run-3_bold,mm
fwhm_x,2.7138766666666663,sub-19_ses-2_task-encoding_run-4_bold,mm
fwhm_x,2.7266733333333337,sub-19_ses-2_task-encoding_run-5_bold,mm
fwhm_x,2.7440933333333333,sub-19_ses-2_task-encoding_run-6_bold,mm
fwhm_x,2.752416666666667,sub-19_ses-2_task-encoding_run-7_bold,mm
fwhm_x,2.765563333333333,sub-19_ses-2_task-encoding_run-8_bold,mm
fwhm_x,2.7593866666666664,sub-19_ses-2_task-rest_run-1_bold,mm
fwhm_x,2.754183333333333,sub-19_ses-2_task-similarity_run-1_bold,mm
fwhm_x,2.773176666666666,sub-19_ses-2_task-similarity_run-2_bold,mm
fwhm_x,2.5405933333333333,sub-20_ses-1_task-encoding_run-1_bold,mm
fwhm_x,2.54266,sub-20_ses-1_task-encoding_run-2_bold,mm
fwhm_x,2.541846666666667,sub-20_ses-1_task-encoding_run-3_bold,mm
fwhm_x,2.535266666666667,sub-20_ses-1_task-encoding_run-4_bold,mm
fwhm_x,2.5372666666666666,sub-20_ses-1_task-encoding_run-5_bold,mm
fwhm_x,2.5248866666666667,sub-20_ses-1_task-encoding_run-6_bold,mm
fwhm_x,2.5307633333333333,sub-20_ses-1_task-encoding_run-7_bold,mm
fwhm_x,2.5506266666666666,sub-20_ses-1_task-encoding_run-8_bold,mm
fwhm_x,2.5258066666666665,sub-20_ses-1_task-rest_run-1_bold,mm
fwhm_x,2.5346966666666666,sub-20_ses-1_task-rest_run-2_bold,mm
fwhm_x,2.5336766666666666,sub-20_ses-1_task-similarity_run-1_bold,mm
fwhm_x,2.5488833333333334,sub-20_ses-1_task-similarity_run-2_bold,mm
fwhm_x,2.5232066666666664,sub-20_ses-2_task-encoding_run-1_bold,mm
fwhm_x,2.51643,sub-20_ses-2_task-encoding_run-2_bold,mm
fwhm_x,2.4959433333333334,sub-20_ses-2_task-encoding_run-3_bold,mm
fwhm_x,2.5121733333333336,sub-20_ses-2_task-encoding_run-4_bold,mm
fwhm_x,2.5218266666666667,sub-20_ses-2_task-encoding_run-5_bold,mm
fwhm_x,2.52707,sub-20_ses-2_task-encoding_run-6_bold,mm
fwhm_x,2.47765,sub-20_ses-2_task-encoding_run-7_bold,mm
fwhm_x,2.50322,sub-20_ses-2_task-encoding_run-8_bold,mm
fwhm_x,2.4839100000000003,sub-20_ses-2_task-rest_run-1_bold,mm
fwhm_x,2.5115366666666668,sub-20_ses-2_task-similarity_run-1_bold,mm
fwhm_x,2.519,sub-20_ses-2_task-similarity_run-2_bold,mm
fwhm_x,2.9139533333333336,sub-25_ses-1_task-encoding_run-1_bold,mm
fwhm_x,2.9691666666666667,sub-25_ses-1_task-encoding_run-2_bold,mm
fwhm_x,2.9137566666666666,sub-25_ses-1_task-encoding_run-3_bold,mm
fwhm_x,2.943596666666666,sub-25_ses-1_task-encoding_run-4_bold,mm
fwhm_x,2.94367,sub-25_ses-1_task-encoding_run-5_bold,mm
fwhm_x,2.948733333333333,sub-25_ses-1_task-encoding_run-6_bold,mm
fwhm_x,2.9601,sub-25_ses-1_task-encoding_run-7_bold,mm
fwhm_x,2.941893333333333,sub-25_ses-1_task-encoding_run-8_bold,mm
fwhm_x,2.95509,sub-25_ses-1_task-rest_run-1_bold,mm
fwhm_x,2.9666766666666664,sub-25_ses-1_task-rest_run-2_bold,mm
fwhm_x,2.987726666666666,sub-25_ses-1_task-similarity_run-1_bold,mm
fwhm_x,2.939973333333333,sub-25_ses-1_task-similarity_run-2_bold,mm
fwhm_x,2.88935,sub-25_ses-2_task-encoding_run-1_bold,mm
fwhm_x,2.9017733333333333,sub-25_ses-2_task-encoding_run-2_bold,mm
fwhm_x,2.895906666666667,sub-25_ses-2_task-encoding_run-3_bold,mm
fwhm_x,2.88843,sub-25_ses-2_task-encoding_run-4_bold,mm
fwhm_x,2.893713333333333,sub-25_ses-2_task-encoding_run-5_bold,mm
fwhm_x,2.915023333333333,sub-25_ses-2_task-encoding_run-6_bold,mm
fwhm_x,2.892723333333333,sub-25_ses-2_task-encoding_run-7_bold,mm
fwhm_x,2.88051,sub-25_ses-2_task-encoding_run-8_bold,mm
fwhm_x,2.8974233333333337,sub-25_ses-2_task-rest_run-1_bold,mm
fwhm_x,2.9462566666666667,sub-25_ses-2_task-similarity_run-1_bold,mm
fwhm_x,2.9036766666666662,sub-25_ses-2_task-similarity_run-2_bold,mm
fwhm_x,2.691273333333333,sub-26_ses-1_task-encoding_run-1_bold,mm
fwhm_x,2.7209,sub-26_ses-1_task-encoding_run-2_bold,mm
fwhm_x,2.7296666666666667,sub-26_ses-1_task-encoding_run-3_bold,mm
fwhm_x,2.72468,sub-26_ses-1_task-encoding_run-4_bold,mm
fwhm_x,2.736506666666666,sub-26_ses-1_task-encoding_run-5_bold,mm
fwhm_x,2.71123,sub-26_ses-1_task-encoding_run-6_bold,mm
fwhm_x,2.69711,sub-26_ses-1_task-encoding_run-7_bold,mm
fwhm_x,2.70835,sub-26_ses-1_task-encoding_run-8_bold,mm
fwhm_x,2.7087066666666666,sub-26_ses-1_task-rest_run-1_bold,mm
fwhm_x,2.7310133333333333,sub-26_ses-1_task-rest_run-2_bold,mm
fwhm_x,2.71297,sub-26_ses-1_task-similarity_run-1_bold,mm
fwhm_x,2.731806666666667,sub-26_ses-1_task-similarity_run-2_bold,mm
fwhm_x,2.74718,sub-26_ses-2_task-encoding_run-1_bold,mm
fwhm_x,2.7102166666666663,sub-26_ses-2_task-encoding_run-2_bold,mm
fwhm_x,2.7404,sub-26_ses-2_task-encoding_run-3_bold,mm
fwhm_x,2.7391966666666665,sub-26_ses-2_task-encoding_run-4_bold,mm
fwhm_x,2.7375833333333333,sub-26_ses-2_task-encoding_run-5_bold,mm
fwhm_x,2.723716666666667,sub-26_ses-2_task-encoding_run-6_bold,mm
fwhm_x,2.7477033333333334,sub-26_ses-2_task-encoding_run-7_bold,mm
fwhm_x,2.744706666666667,sub-26_ses-2_task-encoding_run-8_bold,mm
fwhm_x,2.752713333333333,sub-26_ses-2_task-rest_run-1_bold,mm
fwhm_x,2.7265433333333333,sub-26_ses-2_task-similarity_run-1_bold,mm
fwhm_x,2.7559533333333337,sub-26_ses-2_task-similarity_run-2_bold,mm
fwhm_x,2.599576666666666,sub-27_ses-1_task-encoding_run-1_bold,mm
fwhm_x,2.6155733333333333,sub-27_ses-1_task-encoding_run-2_bold,mm
fwhm_x,2.6279233333333334,sub-27_ses-1_task-encoding_run-3_bold,mm
fwhm_x,2.60885,sub-27_ses-1_task-encoding_run-4_bold,mm
fwhm_x,2.62085,sub-27_ses-1_task-encoding_run-5_bold,mm
fwhm_x,2.628316666666666,sub-27_ses-1_task-encoding_run-6_bold,mm
fwhm_x,2.6237566666666665,sub-27_ses-1_task-encoding_run-7_bold,mm
fwhm_x,2.62863,sub-27_ses-1_task-encoding_run-8_bold,mm
fwhm_x,2.58935,sub-27_ses-1_task-rest_run-1_bold,mm
fwhm_x,2.632893333333333,sub-27_ses-1_task-rest_run-2_bold,mm
fwhm_x,2.5480733333333334,sub-27_ses-1_task-similarity_run-1_bold,mm
fwhm_x,2.6508566666666664,sub-27_ses-1_task-similarity_run-2_bold,mm
fwhm_x,2.639183333333333,sub-27_ses-2_task-encoding_run-1_bold,mm
fwhm_x,2.6305566666666667,sub-27_ses-2_task-encoding_run-2_bold,mm
fwhm_x,2.57822,sub-27_ses-2_task-encoding_run-3_bold,mm
fwhm_x,2.544243333333333,sub-27_ses-2_task-encoding_run-4_bold,mm
fwhm_x,2.5619166666666664,sub-27_ses-2_task-encoding_run-5_bold,mm
fwhm_x,2.55711,sub-27_ses-2_task-encoding_run-6_bold,mm
fwhm_x,2.529643333333333,sub-27_ses-2_task-encoding_run-7_bold,mm
fwhm_x,2.550263333333333,sub-27_ses-2_task-encoding_run-8_bold,mm
fwhm_x,2.5737566666666667,sub-27_ses-2_task-rest_run-1_bold,mm
fwhm_x,2.628766666666667,sub-27_ses-2_task-similarity_run-1_bold,mm
fwhm_x,2.58218,sub-27_ses-2_task-similarity_run-2_bold,mm
fwhm_x,2.4886733333333333,sub-28_ses-1_task-encoding_run-1_bold,mm
fwhm_x,2.5081166666666665,sub-28_ses-1_task-encoding_run-2_bold,mm
fwhm_x,2.49915,sub-28_ses-1_task-encoding_run-3_bold,mm
fwhm_x,2.4778033333333336,sub-28_ses-1_task-encoding_run-4_bold,mm
fwhm_x,2.4882133333333334,sub-28_ses-1_task-encoding_run-5_bold,mm
fwhm_x,2.470603333333333,sub-28_ses-1_task-encoding_run-6_bold,mm
fwhm_x,2.47125,sub-28_ses-1_task-encoding_run-7_bold,mm
fwhm_x,2.47414,sub-28_ses-1_task-encoding_run-8_bold,mm
fwhm_x,2.504223333333333,sub-28_ses-1_task-rest_run-1_bold,mm
fwhm_x,2.47773,sub-28_ses-1_task-rest_run-2_bold,mm
fwhm_x,2.4931300000000003,sub-28_ses-1_task-similarity_run-1_bold,mm
fwhm_x,2.487366666666667,sub-28_ses-1_task-similarity_run-2_bold,mm
fwhm_x,2.845166666666667,sub-28_ses-2_task-encoding_run-1_bold,mm
fwhm_x,2.84519,sub-28_ses-2_task-encoding_run-2_bold,mm
fwhm_x,2.8430766666666667,sub-28_ses-2_task-encoding_run-3_bold,mm
fwhm_x,2.83406,sub-28_ses-2_task-encoding_run-4_bold,mm
fwhm_x,2.8444233333333333,sub-28_ses-2_task-encoding_run-5_bold,mm
fwhm_x,2.838003333333333,sub-28_ses-2_task-encoding_run-6_bold,mm
fwhm_x,2.836793333333333,sub-28_ses-2_task-encoding_run-7_bold,mm
fwhm_x,2.8171866666666667,sub-28_ses-2_task-encoding_run-8_bold,mm
fwhm_x,2.8326766666666665,sub-28_ses-2_task-rest_run-1_bold,mm
fwhm_x,2.815576666666667,sub-28_ses-2_task-similarity_run-1_bold,mm
fwhm_x,2.8376566666666663,sub-28_ses-2_task-similarity_run-2_bold,mm
fwhm_y,2.4012233333333333,sub-01_ses-1_task-encoding_run-1_bold,mm
fwhm_y,2.42154,sub-01_ses-1_task-encoding_run-2_bold,mm
fwhm_y,2.40965,sub-01_ses-1_task-encoding_run-3_bold,mm
fwhm_y,2.384256666666667,sub-01_ses-1_task-encoding_run-4_bold,mm
fwhm_y,2.3532966666666666,sub-01_ses-1_task-encoding_run-5_bold,mm
fwhm_y,2.38381,sub-01_ses-1_task-encoding_run-6_bold,mm
fwhm_y,2.3503700000000003,sub-01_ses-1_task-encoding_run-7_bold,mm
fwhm_y,2.35439,sub-01_ses-1_task-encoding_run-8_bold,mm
fwhm_y,2.39893,sub-01_ses-1_task-rest_run-1_bold,mm
fwhm_y,2.4044,sub-01_ses-1_task-similarity_run-1_bold,mm
fwhm_y,2.4672033333333334,sub-01_ses-1_task-similarity_run-2_bold,mm
fwhm_y,2.6935033333333336,sub-01_ses-2_task-encoding_run-1_bold,mm
fwhm_y,2.684536666666667,sub-01_ses-2_task-encoding_run-2_bold,mm
fwhm_y,2.6948066666666666,sub-01_ses-2_task-encoding_run-3_bold,mm
fwhm_y,2.6948633333333336,sub-01_ses-2_task-encoding_run-4_bold,mm
fwhm_y,2.81165,sub-01_ses-2_task-encoding_run-5_bold,mm
fwhm_y,2.6927566666666665,sub-01_ses-2_task-encoding_run-6_bold,mm
fwhm_y,2.6751466666666666,sub-01_ses-2_task-encoding_run-7_bold,mm
fwhm_y,2.667753333333333,sub-01_ses-2_task-encoding_run-8_bold,mm
fwhm_y,2.639463333333333,sub-01_ses-2_task-rest_run-1_bold,mm
fwhm_y,2.672216666666667,sub-01_ses-2_task-similarity_run-1_bold,mm
fwhm_y,2.6635466666666665,sub-01_ses-2_task-similarity_run-2_bold,mm
fwhm_y,2.35285,sub-02_ses-1_task-encoding_run-1_bold,mm
fwhm_y,2.32841,sub-02_ses-1_task-encoding_run-2_bold,mm
fwhm_y,2.333196666666667,sub-02_ses-1_task-encoding_run-3_bold,mm
fwhm_y,2.347706666666667,sub-02_ses-1_task-encoding_run-4_bold,mm
fwhm_y,2.3259933333333334,sub-02_ses-1_task-encoding_run-5_bold,mm
fwhm_y,2.3095166666666667,sub-02_ses-1_task-encoding_run-6_bold,mm
fwhm_y,2.321903333333333,sub-02_ses-1_task-encoding_run-7_bold,mm
fwhm_y,2.3254266666666665,sub-02_ses-1_task-encoding_run-8_bold,mm
fwhm_y,2.364736666666667,sub-02_ses-1_task-rest_run-1_bold,mm
fwhm_y,2.35856,sub-02_ses-1_task-rest_run-2_bold,mm
fwhm_y,2.384713333333333,sub-02_ses-1_task-similarity_run-1_bold,mm
fwhm_y,2.3942666666666668,sub-02_ses-1_task-similarity_run-2_bold,mm
fwhm_y,2.539433333333333,sub-02_ses-2_task-encoding_run-1_bold,mm
fwhm_y,2.5342333333333333,sub-02_ses-2_task-encoding_run-2_bold,mm
fwhm_y,2.54615,sub-02_ses-2_task-encoding_run-3_bold,mm
fwhm_y,2.534963333333333,sub-02_ses-2_task-encoding_run-4_bold,mm
fwhm_y,2.544043333333333,sub-02_ses-2_task-encoding_run-5_bold,mm
fwhm_y,2.55822,sub-02_ses-2_task-encoding_run-6_bold,mm
fwhm_y,2.5502066666666665,sub-02_ses-2_task-encoding_run-7_bold,mm
fwhm_y,2.54904,sub-02_ses-2_task-encoding_run-8_bold,mm
fwhm_y,2.5331466666666667,sub-02_ses-2_task-rest_run-1_bold,mm
fwhm_y,2.7087233333333334,sub-02_ses-2_task-similarity_run-1_bold,mm
fwhm_y,2.6999633333333333,sub-02_ses-2_task-similarity_run-2_bold,mm
fwhm_y,2.3020366666666665,sub-03_ses-1_task-encoding_run-1_bold,mm
fwhm_y,2.309603333333333,sub-03_ses-1_task-encoding_run-2_bold,mm
fwhm_y,2.3011166666666667,sub-03_ses-1_task-encoding_run-3_bold,mm
fwhm_y,2.3099333333333334,sub-03_ses-1_task-encoding_run-4_bold,mm
fwhm_y,2.29999,sub-03_ses-1_task-encoding_run-5_bold,mm
fwhm_y,2.3087866666666668,sub-03_ses-1_task-encoding_run-6_bold,mm
fwhm_y,2.308283333333333,sub-03_ses-1_task-encoding_run-7_bold,mm
fwhm_y,2.299586666666667,sub-03_ses-1_task-encoding_run-8_bold,mm
fwhm_y,2.27807,sub-03_ses-1_task-rest_run-1_bold,mm
fwhm_y,2.28967,sub-03_ses-1_task-rest_run-2_bold,mm
fwhm_y,2.289333333333333,sub-03_ses-1_task-similarity_run-1_bold,mm
fwhm_y,2.3158566666666665,sub-03_ses-1_task-similarity_run-2_bold,mm
fwhm_y,2.254863333333333,sub-03_ses-2_task-encoding_run-1_bold,mm
fwhm_y,2.23775,sub-03_ses-2_task-encoding_run-2_bold,mm
fwhm_y,2.2427266666666665,sub-03_ses-2_task-encoding_run-3_bold,mm
fwhm_y,2.2367466666666664,sub-03_ses-2_task-encoding_run-4_bold,mm
fwhm_y,2.22952,sub-03_ses-2_task-encoding_run-5_bold,mm
fwhm_y,2.228263333333333,sub-03_ses-2_task-encoding_run-6_bold,mm
fwhm_y,2.2264733333333333,sub-03_ses-2_task-encoding_run-7_bold,mm
fwhm_y,2.244743333333333,sub-03_ses-2_task-encoding_run-8_bold,mm
fwhm_y,2.2369233333333334,sub-03_ses-2_task-rest_run-1_bold,mm
fwhm_y,2.273136666666667,sub-03_ses-2_task-similarity_run-1_bold,mm
fwhm_y,2.2747533333333334,sub-03_ses-2_task-similarity_run-2_bold,mm
fwhm_y,2.62061,sub-04_ses-1_task-encoding_run-1_bold,mm
fwhm_y,2.61002,sub-04_ses-1_task-encoding_run-2_bold,mm
fwhm_y,2.598716666666667,sub-04_ses-1_task-encoding_run-3_bold,mm
fwhm_y,2.60652,sub-04_ses-1_task-encoding_run-4_bold,mm
fwhm_y,2.621733333333333,sub-04_ses-1_task-encoding_run-5_bold,mm
fwhm_y,2.647413333333333,sub-04_ses-1_task-encoding_run-6_bold,mm
fwhm_y,2.63659,sub-04_ses-1_task-encoding_run-7_bold,mm
fwhm_y,2.642986666666667,sub-04_ses-1_task-encoding_run-8_bold,mm
fwhm_y,2.649296666666667,sub-04_ses-1_task-rest_run-1_bold,mm
fwhm_y,2.647113333333333,sub-04_ses-1_task-rest_run-2_bold,mm
fwhm_y,2.647133333333333,sub-04_ses-1_task-similarity_run-1_bold,mm
fwhm_y,2.639463333333333,sub-04_ses-1_task-similarity_run-2_bold,mm
fwhm_y,2.6937866666666666,sub-04_ses-2_task-encoding_run-1_bold,mm
fwhm_y,2.7253833333333333,sub-04_ses-2_task-encoding_run-2_bold,mm
fwhm_y,2.70605,sub-04_ses-2_task-encoding_run-3_bold,mm
fwhm_y,2.6906866666666667,sub-04_ses-2_task-encoding_run-4_bold,mm
fwhm_y,2.7196366666666667,sub-04_ses-2_task-encoding_run-5_bold,mm
fwhm_y,2.7295166666666666,sub-04_ses-2_task-encoding_run-6_bold,mm
fwhm_y,2.6924533333333334,sub-04_ses-2_task-encoding_run-7_bold,mm
fwhm_y,2.690533333333333,sub-04_ses-2_task-encoding_run-8_bold,mm
fwhm_y,2.7159833333333334,sub-04_ses-2_task-rest_run-1_bold,mm
fwhm_y,2.72976,sub-04_ses-2_task-similarity_run-1_bold,mm
fwhm_y,2.7034966666666667,sub-04_ses-2_task-similarity_run-2_bold,mm
fwhm_y,2.61952,sub-06_ses-1_task-encoding_run-1_bold,mm
fwhm_y,2.568293333333333,sub-06_ses-1_task-encoding_run-2_bold,mm
fwhm_y,2.5899300000000003,sub-06_ses-1_task-encoding_run-3_bold,mm
fwhm_y,2.538803333333333,sub-06_ses-1_task-encoding_run-4_bold,mm
fwhm_y,2.7379333333333338,sub-06_ses-1_task-encoding_run-5_bold,mm
fwhm_y,2.574863333333333,sub-06_ses-1_task-encoding_run-6_bold,mm
fwhm_y,2.559413333333333,sub-06_ses-1_task-encoding_run-7_bold,mm
fwhm_y,2.5665766666666667,sub-06_ses-1_task-encoding_run-8_bold,mm
fwhm_y,2.61218,sub-06_ses-1_task-rest_run-1_bold,mm
fwhm_y,2.630473333333333,sub-06_ses-1_task-rest_run-2_bold,mm
fwhm_y,2.682886666666666,sub-06_ses-1_task-similarity_run-1_bold,mm
fwhm_y,2.619806666666667,sub-06_ses-1_task-similarity_run-2_bold,mm
fwhm_y,2.5719133333333333,sub-06_ses-2_task-encoding_run-1_bold,mm
fwhm_y,2.53265,sub-06_ses-2_task-encoding_run-2_bold,mm
fwhm_y,2.5581633333333333,sub-06_ses-2_task-encoding_run-3_bold,mm
fwhm_y,2.5841133333333333,sub-06_ses-2_task-encoding_run-4_bold,mm
fwhm_y,2.5463733333333334,sub-06_ses-2_task-encoding_run-5_bold,mm
fwhm_y,2.541256666666667,sub-06_ses-2_task-encoding_run-6_bold,mm
fwhm_y,2.5365933333333333,sub-06_ses-2_task-encoding_run-7_bold,mm
fwhm_y,2.5418,sub-06_ses-2_task-encoding_run-8_bold,mm
fwhm_y,2.52828,sub-06_ses-2_task-rest_run-1_bold,mm
fwhm_y,2.53086,sub-06_ses-2_task-similarity_run-1_bold,mm
fwhm_y,2.542876666666667,sub-06_ses-2_task-similarity_run-2_bold,mm
fwhm_y,2.5668833333333336,sub-08_ses-1_task-encoding_run-1_bold,mm
fwhm_y,2.545663333333333,sub-08_ses-1_task-encoding_run-2_bold,mm
fwhm_y,2.553943333333333,sub-08_ses-1_task-encoding_run-3_bold,mm
fwhm_y,2.56016,sub-08_ses-1_task-encoding_run-4_bold,mm
fwhm_y,2.5522566666666666,sub-08_ses-1_task-encoding_run-5_bold,mm
fwhm_y,2.537473333333333,sub-08_ses-1_task-encoding_run-6_bold,mm
fwhm_y,2.5311566666666665,sub-08_ses-1_task-encoding_run-7_bold,mm
fwhm_y,2.540433333333333,sub-08_ses-1_task-encoding_run-8_bold,mm
fwhm_y,2.5761066666666665,sub-08_ses-1_task-rest_run-1_bold,mm
fwhm_y,2.5366133333333334,sub-08_ses-1_task-rest_run-2_bold,mm
fwhm_y,2.56545,sub-08_ses-1_task-similarity_run-1_bold,mm
fwhm_y,2.578116666666667,sub-08_ses-1_task-similarity_run-2_bold,mm
fwhm_y,2.646666666666667,sub-08_ses-2_task-encoding_run-1_bold,mm
fwhm_y,2.623883333333333,sub-08_ses-2_task-encoding_run-2_bold,mm
fwhm_y,2.63549,sub-08_ses-2_task-encoding_run-3_bold,mm
fwhm_y,2.6478966666666666,sub-08_ses-2_task-encoding_run-4_bold,mm
fwhm_y,2.6549866666666664,sub-08_ses-2_task-encoding_run-5_bold,mm
fwhm_y,2.6543633333333334,sub-08_ses-2_task-encoding_run-6_bold,mm
fwhm_y,2.64332,sub-08_ses-2_task-encoding_run-7_bold,mm
fwhm_y,2.662123333333333,sub-08_ses-2_task-encoding_run-8_bold,mm
fwhm_y,2.635523333333333,sub-08_ses-2_task-rest_run-1_bold,mm
fwhm_y,2.6396333333333333,sub-08_ses-2_task-similarity_run-1_bold,mm
fwhm_y,2.6849266666666662,sub-08_ses-2_task-similarity_run-2_bold,mm
fwhm_y,2.54392,sub-09_ses-1_task-encoding_run-1_bold,mm
fwhm_y,2.53155,sub-09_ses-1_task-encoding_run-2_bold,mm
fwhm_y,2.5312533333333334,sub-09_ses-1_task-encoding_run-3_bold,mm
fwhm_y,2.5440066666666667,sub-09_ses-1_task-encoding_run-4_bold,mm
fwhm_y,2.55231,sub-09_ses-1_task-encoding_run-5_bold,mm
fwhm_y,2.5632966666666666,sub-09_ses-1_task-encoding_run-6_bold,mm
fwhm_y,2.567,sub-09_ses-1_task-encoding_run-7_bold,mm
fwhm_y,2.571473333333333,sub-09_ses-1_task-encoding_run-8_bold,mm
fwhm_y,2.55683,sub-09_ses-1_task-rest_run-1_bold,mm
fwhm_y,2.552983333333333,sub-09_ses-1_task-rest_run-2_bold,mm
fwhm_y,2.5790533333333334,sub-09_ses-1_task-similarity_run-1_bold,mm
fwhm_y,2.5666866666666666,sub-09_ses-1_task-similarity_run-2_bold,mm
fwhm_y,2.3535766666666667,sub-09_ses-2_task-encoding_run-1_bold,mm
fwhm_y,2.29576,sub-09_ses-2_task-encoding_run-2_bold,mm
fwhm_y,2.2939266666666667,sub-09_ses-2_task-encoding_run-3_bold,mm
fwhm_y,2.30217,sub-09_ses-2_task-encoding_run-4_bold,mm
fwhm_y,2.3031433333333333,sub-09_ses-2_task-encoding_run-5_bold,mm
fwhm_y,2.294313333333333,sub-09_ses-2_task-encoding_run-6_bold,mm
fwhm_y,2.294283333333333,sub-09_ses-2_task-encoding_run-7_bold,mm
fwhm_y,2.2847033333333333,sub-09_ses-2_task-encoding_run-8_bold,mm
fwhm_y,2.2834833333333333,sub-09_ses-2_task-rest_run-1_bold,mm
fwhm_y,2.28869,sub-09_ses-2_task-similarity_run-1_bold,mm
fwhm_y,2.33496,sub-09_ses-2_task-similarity_run-2_bold,mm
fwhm_y,2.78946,sub-10_ses-1_task-encoding_run-1_bold,mm
fwhm_y,2.7665666666666664,sub-10_ses-1_task-encoding_run-2_bold,mm
fwhm_y,2.77713,sub-10_ses-1_task-encoding_run-3_bold,mm
fwhm_y,2.7672733333333333,sub-10_ses-1_task-encoding_run-4_bold,mm
fwhm_y,2.7530433333333337,sub-10_ses-1_task-encoding_run-5_bold,mm
fwhm_y,2.7427966666666665,sub-10_ses-1_task-encoding_run-6_bold,mm
fwhm_y,2.75745,sub-10_ses-1_task-encoding_run-7_bold,mm
fwhm_y,2.7541766666666665,sub-10_ses-1_task-encoding_run-8_bold,mm
fwhm_y,2.80112,sub-10_ses-1_task-rest_run-1_bold,mm
fwhm_y,2.7535066666666665,sub-10_ses-1_task-rest_run-2_bold,mm
fwhm_y,2.785433333333333,sub-10_ses-1_task-similarity_run-1_bold,mm
fwhm_y,2.84915,sub-10_ses-1_task-similarity_run-2_bold,mm
fwhm_y,2.675473333333333,sub-10_ses-2_task-encoding_run-1_bold,mm
fwhm_y,2.691683333333333,sub-10_ses-2_task-encoding_run-2_bold,mm
fwhm_y,2.706046666666667,sub-10_ses-2_task-encoding_run-3_bold,mm
fwhm_y,2.668413333333333,sub-10_ses-2_task-encoding_run-4_bold,mm
fwhm_y,2.65013,sub-10_ses-2_task-encoding_run-5_bold,mm
fwhm_y,2.6448466666666666,sub-10_ses-2_task-encoding_run-6_bold,mm
fwhm_y,2.653356666666667,sub-10_ses-2_task-encoding_run-7_bold,mm
fwhm_y,2.6518133333333336,sub-10_ses-2_task-encoding_run-8_bold,mm
fwhm_y,2.64563,sub-10_ses-2_task-rest_run-1_bold,mm
fwhm_y,2.66379,sub-10_ses-2_task-similarity_run-1_bold,mm
fwhm_y,2.648896666666667,sub-10_ses-2_task-similarity_run-2_bold,mm
fwhm_y,2.2258466666666665,sub-11_ses-1_task-encoding_run-1_bold,mm
fwhm_y,2.23589,sub-11_ses-1_task-encoding_run-2_bold,mm
fwhm_y,2.232323333333333,sub-11_ses-1_task-encoding_run-3_bold,mm
fwhm_y,2.237963333333333,sub-11_ses-1_task-encoding_run-4_bold,mm
fwhm_y,2.23106,sub-11_ses-1_task-encoding_run-5_bold,mm
fwhm_y,2.19911,sub-11_ses-1_task-encoding_run-6_bold,mm
fwhm_y,2.225566666666667,sub-11_ses-1_task-encoding_run-7_bold,mm
fwhm_y,2.236056666666667,sub-11_ses-1_task-encoding_run-8_bold,mm
fwhm_y,2.2392933333333334,sub-11_ses-1_task-rest_run-1_bold,mm
fwhm_y,2.20267,sub-11_ses-1_task-rest_run-2_bold,mm
fwhm_y,2.2290300000000003,sub-11_ses-1_task-similarity_run-1_bold,mm
fwhm_y,2.2339033333333336,sub-11_ses-1_task-similarity_run-2_bold,mm
fwhm_y,2.18562,sub-11_ses-2_task-encoding_run-1_bold,mm
fwhm_y,2.18088,sub-11_ses-2_task-encoding_run-2_bold,mm
fwhm_y,2.174096666666667,sub-11_ses-2_task-encoding_run-3_bold,mm
fwhm_y,2.20428,sub-11_ses-2_task-encoding_run-4_bold,mm
fwhm_y,2.1665366666666666,sub-11_ses-2_task-encoding_run-5_bold,mm
fwhm_y,2.172233333333333,sub-11_ses-2_task-encoding_run-6_bold,mm
fwhm_y,2.1679366666666664,sub-11_ses-2_task-encoding_run-7_bold,mm
fwhm_y,2.14971,sub-11_ses-2_task-encoding_run-8_bold,mm
fwhm_y,2.19982,sub-11_ses-2_task-rest_run-1_bold,mm
fwhm_y,2.18654,sub-11_ses-2_task-similarity_run-1_bold,mm
fwhm_y,2.1871,sub-11_ses-2_task-similarity_run-2_bold,mm
fwhm_y,2.4806133333333333,sub-13_ses-1_task-encoding_run-1_bold,mm
fwhm_y,2.4684733333333333,sub-13_ses-1_task-encoding_run-2_bold,mm
fwhm_y,2.4785366666666664,sub-13_ses-1_task-encoding_run-3_bold,mm
fwhm_y,2.483756666666667,sub-13_ses-1_task-encoding_run-4_bold,mm
fwhm_y,2.505306666666667,sub-13_ses-1_task-encoding_run-5_bold,mm
fwhm_y,2.510823333333333,sub-13_ses-1_task-encoding_run-6_bold,mm
fwhm_y,2.4755366666666667,sub-13_ses-1_task-encoding_run-7_bold,mm
fwhm_y,2.47457,sub-13_ses-1_task-encoding_run-8_bold,mm
fwhm_y,2.446003333333333,sub-13_ses-1_task-rest_run-1_bold,mm
fwhm_y,2.476663333333333,sub-13_ses-1_task-rest_run-2_bold,mm
fwhm_y,2.44923,sub-13_ses-1_task-similarity_run-1_bold,mm
fwhm_y,2.4989,sub-13_ses-1_task-similarity_run-2_bold,mm
fwhm_y,2.4988366666666666,sub-13_ses-2_task-encoding_run-1_bold,mm
fwhm_y,2.50133,sub-13_ses-2_task-encoding_run-2_bold,mm
fwhm_y,2.502196666666667,sub-13_ses-2_task-encoding_run-3_bold,mm
fwhm_y,2.4947466666666664,sub-13_ses-2_task-encoding_run-4_bold,mm
fwhm_y,2.50047,sub-13_ses-2_task-encoding_run-5_bold,mm
fwhm_y,2.514866666666667,sub-13_ses-2_task-encoding_run-6_bold,mm
fwhm_y,2.524966666666667,sub-13_ses-2_task-encoding_run-7_bold,mm
fwhm_y,2.5145033333333333,sub-13_ses-2_task-encoding_run-8_bold,mm
fwhm_y,2.5164833333333334,sub-13_ses-2_task-rest_run-1_bold,mm
fwhm_y,2.55144,sub-13_ses-2_task-similarity_run-1_bold,mm
fwhm_y,2.529243333333333,sub-13_ses-2_task-similarity_run-2_bold,mm
fwhm_y,2.8765,sub-14_ses-1_task-encoding_run-1_bold,mm
fwhm_y,2.92549,sub-14_ses-1_task-encoding_run-2_bold,mm
fwhm_y,2.925386666666667,sub-14_ses-1_task-encoding_run-3_bold,mm
fwhm_y,2.94193,sub-14_ses-1_task-encoding_run-4_bold,mm
fwhm_y,2.9363566666666667,sub-14_ses-1_task-encoding_run-5_bold,mm
fwhm_y,2.91676,sub-14_ses-1_task-encoding_run-6_bold,mm
fwhm_y,2.92291,sub-14_ses-1_task-encoding_run-7_bold,mm
fwhm_y,2.897736666666667,sub-14_ses-1_task-encoding_run-8_bold,mm
fwhm_y,2.9134766666666665,sub-14_ses-1_task-rest_run-1_bold,mm
fwhm_y,2.899023333333333,sub-14_ses-1_task-rest_run-2_bold,mm
fwhm_y,2.8720966666666663,sub-14_ses-1_task-similarity_run-1_bold,mm
fwhm_y,2.866573333333333,sub-14_ses-1_task-similarity_run-2_bold,mm
fwhm_y,2.4735066666666667,sub-14_ses-2_task-encoding_run-1_bold,mm
fwhm_y,2.46707,sub-14_ses-2_task-encoding_run-2_bold,mm
fwhm_y,2.50668,sub-14_ses-2_task-encoding_run-3_bold,mm
fwhm_y,2.4575333333333336,sub-14_ses-2_task-encoding_run-4_bold,mm
fwhm_y,2.48283,sub-14_ses-2_task-encoding_run-5_bold,mm
fwhm_y,2.4968033333333333,sub-14_ses-2_task-encoding_run-6_bold,mm
fwhm_y,2.502393333333333,sub-14_ses-2_task-encoding_run-7_bold,mm
fwhm_y,2.501943333333333,sub-14_ses-2_task-encoding_run-8_bold,mm
fwhm_y,2.4875700000000003,sub-14_ses-2_task-rest_run-1_bold,mm
fwhm_y,2.468573333333333,sub-14_ses-2_task-similarity_run-1_bold,mm
fwhm_y,2.46902,sub-14_ses-2_task-similarity_run-2_bold,mm
fwhm_y,2.5249466666666667,sub-16_ses-1_task-encoding_run-1_bold,mm
fwhm_y,2.50887,sub-16_ses-1_task-encoding_run-2_bold,mm
fwhm_y,2.5083266666666666,sub-16_ses-1_task-encoding_run-3_bold,mm
fwhm_y,2.49723,sub-16_ses-1_task-encoding_run-4_bold,mm
fwhm_y,2.4810266666666667,sub-16_ses-1_task-encoding_run-5_bold,mm
fwhm_y,2.4798733333333334,sub-16_ses-1_task-encoding_run-6_bold,mm
fwhm_y,2.4796533333333333,sub-16_ses-1_task-encoding_run-7_bold,mm
fwhm_y,2.44955,sub-16_ses-1_task-encoding_run-8_bold,mm
fwhm_y,2.51678,sub-16_ses-1_task-rest_run-1_bold,mm
fwhm_y,2.45934,sub-16_ses-1_task-rest_run-2_bold,mm
fwhm_y,2.5201,sub-16_ses-1_task-similarity_run-1_bold,mm
fwhm_y,2.51098,sub-16_ses-1_task-similarity_run-2_bold,mm
fwhm_y,2.4030033333333334,sub-16_ses-2_task-encoding_run-1_bold,mm
fwhm_y,2.401623333333333,sub-16_ses-2_task-encoding_run-2_bold,mm
fwhm_y,2.41396,sub-16_ses-2_task-encoding_run-3_bold,mm
fwhm_y,2.4040466666666664,sub-16_ses-2_task-encoding_run-4_bold,mm
fwhm_y,2.3893633333333333,sub-16_ses-2_task-encoding_run-5_bold,mm
fwhm_y,2.40515,sub-16_ses-2_task-encoding_run-6_bold,mm
fwhm_y,2.39396,sub-16_ses-2_task-encoding_run-7_bold,mm
fwhm_y,2.3877133333333336,sub-16_ses-2_task-encoding_run-8_bold,mm
fwhm_y,2.3925533333333333,sub-16_ses-2_task-rest_run-1_bold,mm
fwhm_y,2.37003,sub-16_ses-2_task-similarity_run-1_bold,mm
fwhm_y,2.34277,sub-16_ses-2_task-similarity_run-2_bold,mm
fwhm_y,2.08859,sub-17_ses-1_task-encoding_run-1_bold,mm
fwhm_y,2.0795233333333334,sub-17_ses-1_task-encoding_run-2_bold,mm
fwhm_y,2.082143333333333,sub-17_ses-1_task-encoding_run-3_bold,mm
fwhm_y,2.0999966666666667,sub-17_ses-1_task-encoding_run-4_bold,mm
fwhm_y,2.114103333333333,sub-17_ses-1_task-encoding_run-5_bold,mm
fwhm_y,2.113836666666667,sub-17_ses-1_task-encoding_run-6_bold,mm
fwhm_y,2.08263,sub-17_ses-1_task-encoding_run-7_bold,mm
fwhm_y,2.114996666666667,sub-17_ses-1_task-encoding_run-8_bold,mm
fwhm_y,2.079126666666667,sub-17_ses-1_task-rest_run-1_bold,mm
fwhm_y,2.111336666666667,sub-17_ses-1_task-rest_run-2_bold,mm
fwhm_y,2.0603866666666666,sub-17_ses-1_task-similarity_run-1_bold,mm
fwhm_y,2.05339,sub-17_ses-1_task-similarity_run-2_bold,mm
fwhm_y,2.1695066666666665,sub-17_ses-2_task-encoding_run-1_bold,mm
fwhm_y,2.1830000000000003,sub-17_ses-2_task-encoding_run-2_bold,mm
fwhm_y,2.184143333333333,sub-17_ses-2_task-encoding_run-3_bold,mm
fwhm_y,2.167476666666667,sub-17_ses-2_task-encoding_run-4_bold,mm
fwhm_y,2.1385333333333336,sub-17_ses-2_task-encoding_run-5_bold,mm
fwhm_y,2.144586666666666,sub-17_ses-2_task-encoding_run-6_bold,mm
fwhm_y,2.126383333333333,sub-17_ses-2_task-encoding_run-7_bold,mm
fwhm_y,2.1329033333333336,sub-17_ses-2_task-encoding_run-8_bold,mm
fwhm_y,2.13727,sub-17_ses-2_task-rest_run-1_bold,mm
fwhm_y,2.18577,sub-17_ses-2_task-similarity_run-1_bold,mm
fwhm_y,2.15005,sub-17_ses-2_task-similarity_run-2_bold,mm
fwhm_y,2.435556666666667,sub-18_ses-1_task-encoding_run-1_bold,mm
fwhm_y,2.41391,sub-18_ses-1_task-encoding_run-2_bold,mm
fwhm_y,2.3861766666666666,sub-18_ses-1_task-encoding_run-3_bold,mm
fwhm_y,2.3879766666666664,sub-18_ses-1_task-encoding_run-4_bold,mm
fwhm_y,2.351253333333333,sub-18_ses-1_task-encoding_run-5_bold,mm
fwhm_y,2.37076,sub-18_ses-1_task-encoding_run-6_bold,mm
fwhm_y,2.349486666666667,sub-18_ses-1_task-encoding_run-7_bold,mm
fwhm_y,2.3414333333333333,sub-18_ses-1_task-encoding_run-8_bold,mm
fwhm_y,2.4446233333333334,sub-18_ses-1_task-rest_run-1_bold,mm
fwhm_y,2.3303933333333333,sub-18_ses-1_task-rest_run-2_bold,mm
fwhm_y,2.47083,sub-18_ses-1_task-similarity_run-1_bold,mm
fwhm_y,2.40347,sub-18_ses-1_task-similarity_run-2_bold,mm
fwhm_y,2.4328366666666668,sub-18_ses-2_task-encoding_run-1_bold,mm
fwhm_y,2.4446533333333336,sub-18_ses-2_task-encoding_run-2_bold,mm
fwhm_y,2.472233333333333,sub-18_ses-2_task-encoding_run-3_bold,mm
fwhm_y,2.4819733333333334,sub-18_ses-2_task-encoding_run-4_bold,mm
fwhm_y,2.4878533333333333,sub-18_ses-2_task-encoding_run-5_bold,mm
fwhm_y,2.4862366666666667,sub-18_ses-2_task-encoding_run-6_bold,mm
fwhm_y,2.4472533333333333,sub-18_ses-2_task-encoding_run-7_bold,mm
fwhm_y,2.462476666666667,sub-18_ses-2_task-encoding_run-8_bold,mm
fwhm_y,2.4225966666666667,sub-18_ses-2_task-rest_run-1_bold,mm
fwhm_y,2.465803333333333,sub-18_ses-2_task-similarity_run-1_bold,mm
fwhm_y,2.4325266666666665,sub-18_ses-2_task-similarity_run-2_bold,mm
fwhm_y,2.3773633333333333,sub-19_ses-1_task-encoding_run-1_bold,mm
fwhm_y,2.378086666666667,sub-19_ses-1_task-encoding_run-2_bold,mm
fwhm_y,2.38355,sub-19_ses-1_task-encoding_run-3_bold,mm
fwhm_y,2.38821,sub-19_ses-1_task-encoding_run-4_bold,mm
fwhm_y,2.380756666666666,sub-19_ses-1_task-encoding_run-5_bold,mm
fwhm_y,2.3449133333333334,sub-19_ses-1_task-encoding_run-6_bold,mm
fwhm_y,2.39473,sub-19_ses-1_task-encoding_run-7_bold,mm
fwhm_y,2.350166666666667,sub-19_ses-1_task-encoding_run-8_bold,mm
fwhm_y,2.4160533333333336,sub-19_ses-1_task-rest_run-1_bold,mm
fwhm_y,2.411113333333333,sub-19_ses-1_task-rest_run-2_bold,mm
fwhm_y,2.41064,sub-19_ses-1_task-similarity_run-1_bold,mm
fwhm_y,2.3889533333333333,sub-19_ses-1_task-similarity_run-2_bold,mm
fwhm_y,2.493256666666667,sub-19_ses-2_task-encoding_run-1_bold,mm
fwhm_y,2.4752,sub-19_ses-2_task-encoding_run-2_bold,mm
fwhm_y,2.476176666666667,sub-19_ses-2_task-encoding_run-3_bold,mm
fwhm_y,2.4663,sub-19_ses-2_task-encoding_run-4_bold,mm
fwhm_y,2.47188,sub-19_ses-2_task-encoding_run-5_bold,mm
fwhm_y,2.4939966666666664,sub-19_ses-2_task-encoding_run-6_bold,mm
fwhm_y,2.485116666666667,sub-19_ses-2_task-encoding_run-7_bold,mm
fwhm_y,2.5065433333333336,sub-19_ses-2_task-encoding_run-8_bold,mm
fwhm_y,2.5132266666666667,sub-19_ses-2_task-rest_run-1_bold,mm
fwhm_y,2.490323333333333,sub-19_ses-2_task-similarity_run-1_bold,mm
fwhm_y,2.4967466666666667,sub-19_ses-2_task-similarity_run-2_bold,mm
fwhm_y,2.3396466666666664,sub-20_ses-1_task-encoding_run-1_bold,mm
fwhm_y,2.3400333333333334,sub-20_ses-1_task-encoding_run-2_bold,mm
fwhm_y,2.3398266666666667,sub-20_ses-1_task-encoding_run-3_bold,mm
fwhm_y,2.3328966666666666,sub-20_ses-1_task-encoding_run-4_bold,mm
fwhm_y,2.3224,sub-20_ses-1_task-encoding_run-5_bold,mm
fwhm_y,2.3302066666666668,sub-20_ses-1_task-encoding_run-6_bold,mm
fwhm_y,2.330256666666666,sub-20_ses-1_task-encoding_run-7_bold,mm
fwhm_y,2.33061,sub-20_ses-1_task-encoding_run-8_bold,mm
fwhm_y,2.32916,sub-20_ses-1_task-rest_run-1_bold,mm
fwhm_y,2.3237866666666664,sub-20_ses-1_task-rest_run-2_bold,mm
fwhm_y,2.3458366666666666,sub-20_ses-1_task-similarity_run-1_bold,mm
fwhm_y,2.357066666666667,sub-20_ses-1_task-similarity_run-2_bold,mm
fwhm_y,2.35984,sub-20_ses-2_task-encoding_run-1_bold,mm
fwhm_y,2.33934,sub-20_ses-2_task-encoding_run-2_bold,mm
fwhm_y,2.31099,sub-20_ses-2_task-encoding_run-3_bold,mm
fwhm_y,2.32087,sub-20_ses-2_task-encoding_run-4_bold,mm
fwhm_y,2.3248333333333333,sub-20_ses-2_task-encoding_run-5_bold,mm
fwhm_y,2.31694,sub-20_ses-2_task-encoding_run-6_bold,mm
fwhm_y,2.2740466666666665,sub-20_ses-2_task-encoding_run-7_bold,mm
fwhm_y,2.3028766666666667,sub-20_ses-2_task-encoding_run-8_bold,mm
fwhm_y,2.2853533333333336,sub-20_ses-2_task-rest_run-1_bold,mm
fwhm_y,2.2937566666666664,sub-20_ses-2_task-similarity_run-1_bold,mm
fwhm_y,2.29539,sub-20_ses-2_task-similarity_run-2_bold,mm
fwhm_y,2.71404,sub-25_ses-1_task-encoding_run-1_bold,mm
fwhm_y,2.75398,sub-25_ses-1_task-encoding_run-2_bold,mm
fwhm_y,2.71618,sub-25_ses-1_task-encoding_run-3_bold,mm
fwhm_y,2.723926666666667,sub-25_ses-1_task-encoding_run-4_bold,mm
fwhm_y,2.72499,sub-25_ses-1_task-encoding_run-5_bold,mm
fwhm_y,2.731653333333333,sub-25_ses-1_task-encoding_run-6_bold,mm
fwhm_y,2.7405733333333333,sub-25_ses-1_task-encoding_run-7_bold,mm
fwhm_y,2.7434766666666666,sub-25_ses-1_task-encoding_run-8_bold,mm
fwhm_y,2.739293333333333,sub-25_ses-1_task-rest_run-1_bold,mm
fwhm_y,2.7508533333333336,sub-25_ses-1_task-rest_run-2_bold,mm
fwhm_y,2.7743366666666667,sub-25_ses-1_task-similarity_run-1_bold,mm
fwhm_y,2.740096666666666,sub-25_ses-1_task-similarity_run-2_bold,mm
fwhm_y,2.706903333333333,sub-25_ses-2_task-encoding_run-1_bold,mm
fwhm_y,2.710096666666667,sub-25_ses-2_task-encoding_run-2_bold,mm
fwhm_y,2.696333333333333,sub-25_ses-2_task-encoding_run-3_bold,mm
fwhm_y,2.6965,sub-25_ses-2_task-encoding_run-4_bold,mm
fwhm_y,2.700763333333333,sub-25_ses-2_task-encoding_run-5_bold,mm
fwhm_y,2.71518,sub-25_ses-2_task-encoding_run-6_bold,mm
fwhm_y,2.68634,sub-25_ses-2_task-encoding_run-7_bold,mm
fwhm_y,2.66025,sub-25_ses-2_task-encoding_run-8_bold,mm
fwhm_y,2.6981266666666666,sub-25_ses-2_task-rest_run-1_bold,mm
fwhm_y,2.73691,sub-25_ses-2_task-similarity_run-1_bold,mm
fwhm_y,2.6961566666666665,sub-25_ses-2_task-similarity_run-2_bold,mm
fwhm_y,2.33151,sub-26_ses-1_task-encoding_run-1_bold,mm
fwhm_y,2.3428466666666665,sub-26_ses-1_task-encoding_run-2_bold,mm
fwhm_y,2.37145,sub-26_ses-1_task-encoding_run-3_bold,mm
fwhm_y,2.360473333333333,sub-26_ses-1_task-encoding_run-4_bold,mm
fwhm_y,2.3650033333333336,sub-26_ses-1_task-encoding_run-5_bold,mm
fwhm_y,2.337283333333333,sub-26_ses-1_task-encoding_run-6_bold,mm
fwhm_y,2.3192833333333334,sub-26_ses-1_task-encoding_run-7_bold,mm
fwhm_y,2.3250566666666668,sub-26_ses-1_task-encoding_run-8_bold,mm
fwhm_y,2.392573333333333,sub-26_ses-1_task-rest_run-1_bold,mm
fwhm_y,2.33812,sub-26_ses-1_task-rest_run-2_bold,mm
fwhm_y,2.37473,sub-26_ses-1_task-similarity_run-1_bold,mm
fwhm_y,2.36018,sub-26_ses-1_task-similarity_run-2_bold,mm
fwhm_y,2.3763166666666664,sub-26_ses-2_task-encoding_run-1_bold,mm
fwhm_y,2.346103333333333,sub-26_ses-2_task-encoding_run-2_bold,mm
fwhm_y,2.36434,sub-26_ses-2_task-encoding_run-3_bold,mm
fwhm_y,2.3764266666666667,sub-26_ses-2_task-encoding_run-4_bold,mm
fwhm_y,2.3709866666666666,sub-26_ses-2_task-encoding_run-5_bold,mm
fwhm_y,2.349603333333333,sub-26_ses-2_task-encoding_run-6_bold,mm
fwhm_y,2.3670033333333333,sub-26_ses-2_task-encoding_run-7_bold,mm
fwhm_y,2.36373,sub-26_ses-2_task-encoding_run-8_bold,mm
fwhm_y,2.37435,sub-26_ses-2_task-rest_run-1_bold,mm
fwhm_y,2.3737833333333334,sub-26_ses-2_task-similarity_run-1_bold,mm
fwhm_y,2.4032066666666667,sub-26_ses-2_task-similarity_run-2_bold,mm
fwhm_y,2.382216666666667,sub-27_ses-1_task-encoding_run-1_bold,mm
fwhm_y,2.395916666666667,sub-27_ses-1_task-encoding_run-2_bold,mm
fwhm_y,2.40637,sub-27_ses-1_task-encoding_run-3_bold,mm
fwhm_y,2.392046666666667,sub-27_ses-1_task-encoding_run-4_bold,mm
fwhm_y,2.408043333333333,sub-27_ses-1_task-encoding_run-5_bold,mm
fwhm_y,2.40447,sub-27_ses-1_task-encoding_run-6_bold,mm
fwhm_y,2.40677,sub-27_ses-1_task-encoding_run-7_bold,mm
fwhm_y,2.4036733333333333,sub-27_ses-1_task-encoding_run-8_bold,mm
fwhm_y,2.3929466666666666,sub-27_ses-1_task-rest_run-1_bold,mm
fwhm_y,2.4030766666666667,sub-27_ses-1_task-rest_run-2_bold,mm
fwhm_y,2.361143333333333,sub-27_ses-1_task-similarity_run-1_bold,mm
fwhm_y,2.4309233333333333,sub-27_ses-1_task-similarity_run-2_bold,mm
fwhm_y,2.3998466666666665,sub-27_ses-2_task-encoding_run-1_bold,mm
fwhm_y,2.378743333333333,sub-27_ses-2_task-encoding_run-2_bold,mm
fwhm_y,2.340793333333333,sub-27_ses-2_task-encoding_run-3_bold,mm
fwhm_y,2.30692,sub-27_ses-2_task-encoding_run-4_bold,mm
fwhm_y,2.31484,sub-27_ses-2_task-encoding_run-5_bold,mm
fwhm_y,2.31141,sub-27_ses-2_task-encoding_run-6_bold,mm
fwhm_y,2.29767,sub-27_ses-2_task-encoding_run-7_bold,mm
fwhm_y,2.3030733333333333,sub-27_ses-2_task-encoding_run-8_bold,mm
fwhm_y,2.323,sub-27_ses-2_task-rest_run-1_bold,mm
fwhm_y,2.35804,sub-27_ses-2_task-similarity_run-1_bold,mm
fwhm_y,2.32575,sub-27_ses-2_task-similarity_run-2_bold,mm
fwhm_y,2.229983333333333,sub-28_ses-1_task-encoding_run-1_bold,mm
fwhm_y,2.2331966666666667,sub-28_ses-1_task-encoding_run-2_bold,mm
fwhm_y,2.235533333333333,sub-28_ses-1_task-encoding_run-3_bold,mm
fwhm_y,2.188673333333333,sub-28_ses-1_task-encoding_run-4_bold,mm
fwhm_y,2.213283333333333,sub-28_ses-1_task-encoding_run-5_bold,mm
fwhm_y,2.1976033333333334,sub-28_ses-1_task-encoding_run-6_bold,mm
fwhm_y,2.18897,sub-28_ses-1_task-encoding_run-7_bold,mm
fwhm_y,2.199463333333333,sub-28_ses-1_task-encoding_run-8_bold,mm
fwhm_y,2.268143333333333,sub-28_ses-1_task-rest_run-1_bold,mm
fwhm_y,2.19378,sub-28_ses-1_task-rest_run-2_bold,mm
fwhm_y,2.24368,sub-28_ses-1_task-similarity_run-1_bold,mm
fwhm_y,2.229903333333333,sub-28_ses-1_task-similarity_run-2_bold,mm
fwhm_y,2.50951,sub-28_ses-2_task-encoding_run-1_bold,mm
fwhm_y,2.5275266666666667,sub-28_ses-2_task-encoding_run-2_bold,mm
fwhm_y,2.5232266666666665,sub-28_ses-2_task-encoding_run-3_bold,mm
fwhm_y,2.5066166666666665,sub-28_ses-2_task-encoding_run-4_bold,mm
fwhm_y,2.5118066666666667,sub-28_ses-2_task-encoding_run-5_bold,mm
fwhm_y,2.49277,sub-28_ses-2_task-encoding_run-6_bold,mm
fwhm_y,2.4927766666666664,sub-28_ses-2_task-encoding_run-7_bold,mm
fwhm_y,2.4667266666666667,sub-28_ses-2_task-encoding_run-8_bold,mm
fwhm_y,2.4674766666666668,sub-28_ses-2_task-rest_run-1_bold,mm
fwhm_y,2.46657,sub-28_ses-2_task-similarity_run-1_bold,mm
fwhm_y,2.4582566666666668,sub-28_ses-2_task-similarity_run-2_bold,mm
fwhm_z,2.35719,sub-01_ses-1_task-encoding_run-1_bold,mm
fwhm_z,2.402516666666666,sub-01_ses-1_task-encoding_run-2_bold,mm
fwhm_z,2.385683333333333,sub-01_ses-1_task-encoding_run-3_bold,mm
fwhm_z,2.367493333333333,sub-01_ses-1_task-encoding_run-4_bold,mm
fwhm_z,2.325556666666667,sub-01_ses-1_task-encoding_run-5_bold,mm
fwhm_z,2.36154,sub-01_ses-1_task-encoding_run-6_bold,mm
fwhm_z,2.3131,sub-01_ses-1_task-encoding_run-7_bold,mm
fwhm_z,2.317,sub-01_ses-1_task-encoding_run-8_bold,mm
fwhm_z,2.39975,sub-01_ses-1_task-rest_run-1_bold,mm
fwhm_z,2.3876,sub-01_ses-1_task-similarity_run-1_bold,mm
fwhm_z,2.54711,sub-01_ses-1_task-similarity_run-2_bold,mm
fwhm_z,2.694983333333333,sub-01_ses-2_task-encoding_run-1_bold,mm
fwhm_z,2.6766366666666666,sub-01_ses-2_task-encoding_run-2_bold,mm
fwhm_z,2.681383333333333,sub-01_ses-2_task-encoding_run-3_bold,mm
fwhm_z,2.7005233333333334,sub-01_ses-2_task-encoding_run-4_bold,mm
fwhm_z,3.0957000000000003,sub-01_ses-2_task-encoding_run-5_bold,mm
fwhm_z,2.753926666666666,sub-01_ses-2_task-encoding_run-6_bold,mm
fwhm_z,2.75478,sub-01_ses-2_task-encoding_run-7_bold,mm
fwhm_z,2.7470533333333336,sub-01_ses-2_task-encoding_run-8_bold,mm
fwhm_z,2.70902,sub-01_ses-2_task-rest_run-1_bold,mm
fwhm_z,2.79818,sub-01_ses-2_task-similarity_run-1_bold,mm
fwhm_z,2.806343333333333,sub-01_ses-2_task-similarity_run-2_bold,mm
fwhm_z,2.2796766666666666,sub-02_ses-1_task-encoding_run-1_bold,mm
fwhm_z,2.2626133333333334,sub-02_ses-1_task-encoding_run-2_bold,mm
fwhm_z,2.27626,sub-02_ses-1_task-encoding_run-3_bold,mm
fwhm_z,2.2927833333333334,sub-02_ses-1_task-encoding_run-4_bold,mm
fwhm_z,2.2491600000000003,sub-02_ses-1_task-encoding_run-5_bold,mm
fwhm_z,2.236056666666667,sub-02_ses-1_task-encoding_run-6_bold,mm
fwhm_z,2.2490433333333333,sub-02_ses-1_task-encoding_run-7_bold,mm
fwhm_z,2.2780466666666666,sub-02_ses-1_task-encoding_run-8_bold,mm
fwhm_z,2.2792566666666665,sub-02_ses-1_task-rest_run-1_bold,mm
fwhm_z,2.3548633333333333,sub-02_ses-1_task-rest_run-2_bold,mm
fwhm_z,2.323796666666667,sub-02_ses-1_task-similarity_run-1_bold,mm
fwhm_z,2.3444766666666665,sub-02_ses-1_task-similarity_run-2_bold,mm
fwhm_z,2.42752,sub-02_ses-2_task-encoding_run-1_bold,mm
fwhm_z,2.4305766666666666,sub-02_ses-2_task-encoding_run-2_bold,mm
fwhm_z,2.45062,sub-02_ses-2_task-encoding_run-3_bold,mm
fwhm_z,2.45359,sub-02_ses-2_task-encoding_run-4_bold,mm
fwhm_z,2.4858566666666664,sub-02_ses-2_task-encoding_run-5_bold,mm
fwhm_z,2.4958733333333334,sub-02_ses-2_task-encoding_run-6_bold,mm
fwhm_z,2.483023333333333,sub-02_ses-2_task-encoding_run-7_bold,mm
fwhm_z,2.4620366666666667,sub-02_ses-2_task-encoding_run-8_bold,mm
fwhm_z,2.4541033333333333,sub-02_ses-2_task-rest_run-1_bold,mm
fwhm_z,2.628003333333333,sub-02_ses-2_task-similarity_run-1_bold,mm
fwhm_z,2.604186666666666,sub-02_ses-2_task-similarity_run-2_bold,mm
fwhm_z,2.305646666666666,sub-03_ses-1_task-encoding_run-1_bold,mm
fwhm_z,2.32188,sub-03_ses-1_task-encoding_run-2_bold,mm
fwhm_z,2.306653333333333,sub-03_ses-1_task-encoding_run-3_bold,mm
fwhm_z,2.34041,sub-03_ses-1_task-encoding_run-4_bold,mm
fwhm_z,2.342153333333333,sub-03_ses-1_task-encoding_run-5_bold,mm
fwhm_z,2.379793333333333,sub-03_ses-1_task-encoding_run-6_bold,mm
fwhm_z,2.3516,sub-03_ses-1_task-encoding_run-7_bold,mm
fwhm_z,2.3521366666666665,sub-03_ses-1_task-encoding_run-8_bold,mm
fwhm_z,2.302143333333333,sub-03_ses-1_task-rest_run-1_bold,mm
fwhm_z,2.3513533333333334,sub-03_ses-1_task-rest_run-2_bold,mm
fwhm_z,2.317346666666667,sub-03_ses-1_task-similarity_run-1_bold,mm
fwhm_z,2.3448433333333334,sub-03_ses-1_task-similarity_run-2_bold,mm
fwhm_z,2.2291333333333334,sub-03_ses-2_task-encoding_run-1_bold,mm
fwhm_z,2.2428733333333333,sub-03_ses-2_task-encoding_run-2_bold,mm
fwhm_z,2.238913333333333,sub-03_ses-2_task-encoding_run-3_bold,mm
fwhm_z,2.246763333333333,sub-03_ses-2_task-encoding_run-4_bold,mm
fwhm_z,2.230583333333333,sub-03_ses-2_task-encoding_run-5_bold,mm
fwhm_z,2.236353333333333,sub-03_ses-2_task-encoding_run-6_bold,mm
fwhm_z,2.235113333333333,sub-03_ses-2_task-encoding_run-7_bold,mm
fwhm_z,2.232803333333333,sub-03_ses-2_task-encoding_run-8_bold,mm
fwhm_z,2.227813333333333,sub-03_ses-2_task-rest_run-1_bold,mm
fwhm_z,2.2853666666666665,sub-03_ses-2_task-similarity_run-1_bold,mm
fwhm_z,2.24592,sub-03_ses-2_task-similarity_run-2_bold,mm
fwhm_z,2.55221,sub-04_ses-1_task-encoding_run-1_bold,mm
fwhm_z,2.52597,sub-04_ses-1_task-encoding_run-2_bold,mm
fwhm_z,2.50177,sub-04_ses-1_task-encoding_run-3_bold,mm
fwhm_z,2.522136666666667,sub-04_ses-1_task-encoding_run-4_bold,mm
fwhm_z,2.5433966666666667,sub-04_ses-1_task-encoding_run-5_bold,mm
fwhm_z,2.56649,sub-04_ses-1_task-encoding_run-6_bold,mm
fwhm_z,2.56323,sub-04_ses-1_task-encoding_run-7_bold,mm
fwhm_z,2.58131,sub-04_ses-1_task-encoding_run-8_bold,mm
fwhm_z,2.533993333333333,sub-04_ses-1_task-rest_run-1_bold,mm
fwhm_z,2.580696666666667,sub-04_ses-1_task-rest_run-2_bold,mm
fwhm_z,2.54666,sub-04_ses-1_task-similarity_run-1_bold,mm
fwhm_z,2.5475133333333333,sub-04_ses-1_task-similarity_run-2_bold,mm
fwhm_z,2.54533,sub-04_ses-2_task-encoding_run-1_bold,mm
fwhm_z,2.572626666666667,sub-04_ses-2_task-encoding_run-2_bold,mm
fwhm_z,2.58511,sub-04_ses-2_task-encoding_run-3_bold,mm
fwhm_z,2.591953333333333,sub-04_ses-2_task-encoding_run-4_bold,mm
fwhm_z,2.6186000000000003,sub-04_ses-2_task-encoding_run-5_bold,mm
fwhm_z,2.62562,sub-04_ses-2_task-encoding_run-6_bold,mm
fwhm_z,2.60345,sub-04_ses-2_task-encoding_run-7_bold,mm
fwhm_z,2.595673333333333,sub-04_ses-2_task-encoding_run-8_bold,mm
fwhm_z,2.6118566666666667,sub-04_ses-2_task-rest_run-1_bold,mm
fwhm_z,2.6331466666666667,sub-04_ses-2_task-similarity_run-1_bold,mm
fwhm_z,2.6257566666666667,sub-04_ses-2_task-similarity_run-2_bold,mm
fwhm_z,2.70153,sub-06_ses-1_task-encoding_run-1_bold,mm
fwhm_z,2.6106166666666666,sub-06_ses-1_task-encoding_run-2_bold,mm
fwhm_z,2.6656166666666667,sub-06_ses-1_task-encoding_run-3_bold,mm
fwhm_z,2.597793333333333,sub-06_ses-1_task-encoding_run-4_bold,mm
fwhm_z,2.8999466666666667,sub-06_ses-1_task-encoding_run-5_bold,mm
fwhm_z,2.628553333333333,sub-06_ses-1_task-encoding_run-6_bold,mm
fwhm_z,2.6260533333333336,sub-06_ses-1_task-encoding_run-7_bold,mm
fwhm_z,2.655323333333333,sub-06_ses-1_task-encoding_run-8_bold,mm
fwhm_z,2.62991,sub-06_ses-1_task-rest_run-1_bold,mm
fwhm_z,2.776056666666667,sub-06_ses-1_task-rest_run-2_bold,mm
fwhm_z,2.77836,sub-06_ses-1_task-similarity_run-1_bold,mm
fwhm_z,2.67098,sub-06_ses-1_task-similarity_run-2_bold,mm
fwhm_z,2.6515733333333333,sub-06_ses-2_task-encoding_run-1_bold,mm
fwhm_z,2.601173333333333,sub-06_ses-2_task-encoding_run-2_bold,mm
fwhm_z,2.65179,sub-06_ses-2_task-encoding_run-3_bold,mm
fwhm_z,2.737046666666666,sub-06_ses-2_task-encoding_run-4_bold,mm
fwhm_z,2.639893333333333,sub-06_ses-2_task-encoding_run-5_bold,mm
fwhm_z,2.6499966666666666,sub-06_ses-2_task-encoding_run-6_bold,mm
fwhm_z,2.64423,sub-06_ses-2_task-encoding_run-7_bold,mm
fwhm_z,2.691826666666667,sub-06_ses-2_task-encoding_run-8_bold,mm
fwhm_z,2.653993333333333,sub-06_ses-2_task-rest_run-1_bold,mm
fwhm_z,2.6525233333333333,sub-06_ses-2_task-similarity_run-1_bold,mm
fwhm_z,2.758353333333333,sub-06_ses-2_task-similarity_run-2_bold,mm
fwhm_z,2.65931,sub-08_ses-1_task-encoding_run-1_bold,mm
fwhm_z,2.6335166666666665,sub-08_ses-1_task-encoding_run-2_bold,mm
fwhm_z,2.645233333333333,sub-08_ses-1_task-encoding_run-3_bold,mm
fwhm_z,2.6815833333333337,sub-08_ses-1_task-encoding_run-4_bold,mm
fwhm_z,2.69361,sub-08_ses-1_task-encoding_run-5_bold,mm
fwhm_z,2.64484,sub-08_ses-1_task-encoding_run-6_bold,mm
fwhm_z,2.651263333333333,sub-08_ses-1_task-encoding_run-7_bold,mm
fwhm_z,2.677516666666667,sub-08_ses-1_task-encoding_run-8_bold,mm
fwhm_z,2.6296566666666665,sub-08_ses-1_task-rest_run-1_bold,mm
fwhm_z,2.6855,sub-08_ses-1_task-rest_run-2_bold,mm
fwhm_z,2.644403333333333,sub-08_ses-1_task-similarity_run-1_bold,mm
fwhm_z,2.7145766666666664,sub-08_ses-1_task-similarity_run-2_bold,mm
fwhm_z,2.660333333333333,sub-08_ses-2_task-encoding_run-1_bold,mm
fwhm_z,2.63435,sub-08_ses-2_task-encoding_run-2_bold,mm
fwhm_z,2.6682366666666666,sub-08_ses-2_task-encoding_run-3_bold,mm
fwhm_z,2.6753,sub-08_ses-2_task-encoding_run-4_bold,mm
fwhm_z,2.70126,sub-08_ses-2_task-encoding_run-5_bold,mm
fwhm_z,2.69185,sub-08_ses-2_task-encoding_run-6_bold,mm
fwhm_z,2.7011033333333336,sub-08_ses-2_task-encoding_run-7_bold,mm
fwhm_z,2.752423333333333,sub-08_ses-2_task-encoding_run-8_bold,mm
fwhm_z,2.6882533333333334,sub-08_ses-2_task-rest_run-1_bold,mm
fwhm_z,2.7329966666666667,sub-08_ses-2_task-similarity_run-1_bold,mm
fwhm_z,2.7948500000000003,sub-08_ses-2_task-similarity_run-2_bold,mm
fwhm_z,2.593713333333333,sub-09_ses-1_task-encoding_run-1_bold,mm
fwhm_z,2.58615,sub-09_ses-1_task-encoding_run-2_bold,mm
fwhm_z,2.571006666666667,sub-09_ses-1_task-encoding_run-3_bold,mm
fwhm_z,2.5855966666666665,sub-09_ses-1_task-encoding_run-4_bold,mm
fwhm_z,2.60405,sub-09_ses-1_task-encoding_run-5_bold,mm
fwhm_z,2.6074433333333333,sub-09_ses-1_task-encoding_run-6_bold,mm
fwhm_z,2.6096033333333333,sub-09_ses-1_task-encoding_run-7_bold,mm
fwhm_z,2.6061666666666667,sub-09_ses-1_task-encoding_run-8_bold,mm
fwhm_z,2.5823666666666667,sub-09_ses-1_task-rest_run-1_bold,mm
fwhm_z,2.597023333333333,sub-09_ses-1_task-rest_run-2_bold,mm
fwhm_z,2.59313,sub-09_ses-1_task-similarity_run-1_bold,mm
fwhm_z,2.6046466666666666,sub-09_ses-1_task-similarity_run-2_bold,mm
fwhm_z,2.3781,sub-09_ses-2_task-encoding_run-1_bold,mm
fwhm_z,2.3305433333333334,sub-09_ses-2_task-encoding_run-2_bold,mm
fwhm_z,2.335123333333333,sub-09_ses-2_task-encoding_run-3_bold,mm
fwhm_z,2.35794,sub-09_ses-2_task-encoding_run-4_bold,mm
fwhm_z,2.36237,sub-09_ses-2_task-encoding_run-5_bold,mm
fwhm_z,2.3625866666666666,sub-09_ses-2_task-encoding_run-6_bold,mm
fwhm_z,2.3522966666666667,sub-09_ses-2_task-encoding_run-7_bold,mm
fwhm_z,2.346526666666666,sub-09_ses-2_task-encoding_run-8_bold,mm
fwhm_z,2.3530366666666667,sub-09_ses-2_task-rest_run-1_bold,mm
fwhm_z,2.3478566666666665,sub-09_ses-2_task-similarity_run-1_bold,mm
fwhm_z,2.42989,sub-09_ses-2_task-similarity_run-2_bold,mm
fwhm_z,2.7822,sub-10_ses-1_task-encoding_run-1_bold,mm
fwhm_z,2.7795433333333333,sub-10_ses-1_task-encoding_run-2_bold,mm
fwhm_z,2.7880933333333338,sub-10_ses-1_task-encoding_run-3_bold,mm
fwhm_z,2.7949266666666666,sub-10_ses-1_task-encoding_run-4_bold,mm
fwhm_z,2.777643333333333,sub-10_ses-1_task-encoding_run-5_bold,mm
fwhm_z,2.7861666666666665,sub-10_ses-1_task-encoding_run-6_bold,mm
fwhm_z,2.79944,sub-10_ses-1_task-encoding_run-7_bold,mm
fwhm_z,2.7989433333333333,sub-10_ses-1_task-encoding_run-8_bold,mm
fwhm_z,2.742383333333333,sub-10_ses-1_task-rest_run-1_bold,mm
fwhm_z,2.7889533333333336,sub-10_ses-1_task-rest_run-2_bold,mm
fwhm_z,2.767466666666667,sub-10_ses-1_task-similarity_run-1_bold,mm
fwhm_z,2.813646666666666,sub-10_ses-1_task-similarity_run-2_bold,mm
fwhm_z,2.62212,sub-10_ses-2_task-encoding_run-1_bold,mm
fwhm_z,2.628476666666667,sub-10_ses-2_task-encoding_run-2_bold,mm
fwhm_z,2.6387,sub-10_ses-2_task-encoding_run-3_bold,mm
fwhm_z,2.623833333333333,sub-10_ses-2_task-encoding_run-4_bold,mm
fwhm_z,2.6237233333333334,sub-10_ses-2_task-encoding_run-5_bold,mm
fwhm_z,2.6261366666666666,sub-10_ses-2_task-encoding_run-6_bold,mm
fwhm_z,2.635593333333333,sub-10_ses-2_task-encoding_run-7_bold,mm
fwhm_z,2.64261,sub-10_ses-2_task-encoding_run-8_bold,mm
fwhm_z,2.626,sub-10_ses-2_task-rest_run-1_bold,mm
fwhm_z,2.63604,sub-10_ses-2_task-similarity_run-1_bold,mm
fwhm_z,2.655593333333333,sub-10_ses-2_task-similarity_run-2_bold,mm
fwhm_z,2.2146233333333334,sub-11_ses-1_task-encoding_run-1_bold,mm
fwhm_z,2.24348,sub-11_ses-1_task-encoding_run-2_bold,mm
fwhm_z,2.264323333333333,sub-11_ses-1_task-encoding_run-3_bold,mm
fwhm_z,2.211513333333333,sub-11_ses-1_task-encoding_run-4_bold,mm
fwhm_z,2.20188,sub-11_ses-1_task-encoding_run-5_bold,mm
fwhm_z,2.19253,sub-11_ses-1_task-encoding_run-6_bold,mm
fwhm_z,2.226053333333333,sub-11_ses-1_task-encoding_run-7_bold,mm
fwhm_z,2.2243066666666667,sub-11_ses-1_task-encoding_run-8_bold,mm
fwhm_z,2.2387866666666665,sub-11_ses-1_task-rest_run-1_bold,mm
fwhm_z,2.2160966666666666,sub-11_ses-1_task-rest_run-2_bold,mm
fwhm_z,2.2485033333333333,sub-11_ses-1_task-similarity_run-1_bold,mm
fwhm_z,2.2964333333333333,sub-11_ses-1_task-similarity_run-2_bold,mm
fwhm_z,2.0826,sub-11_ses-2_task-encoding_run-1_bold,mm
fwhm_z,2.084166666666667,sub-11_ses-2_task-encoding_run-2_bold,mm
fwhm_z,2.0987633333333333,sub-11_ses-2_task-encoding_run-3_bold,mm
fwhm_z,2.1144700000000003,sub-11_ses-2_task-encoding_run-4_bold,mm
fwhm_z,2.11339,sub-11_ses-2_task-encoding_run-5_bold,mm
fwhm_z,2.11492,sub-11_ses-2_task-encoding_run-6_bold,mm
fwhm_z,2.10927,sub-11_ses-2_task-encoding_run-7_bold,mm
fwhm_z,2.10211,sub-11_ses-2_task-encoding_run-8_bold,mm
fwhm_z,2.15158,sub-11_ses-2_task-rest_run-1_bold,mm
fwhm_z,2.14162,sub-11_ses-2_task-similarity_run-1_bold,mm
fwhm_z,2.125313333333333,sub-11_ses-2_task-similarity_run-2_bold,mm
fwhm_z,2.55046,sub-13_ses-1_task-encoding_run-1_bold,mm
fwhm_z,2.528773333333333,sub-13_ses-1_task-encoding_run-2_bold,mm
fwhm_z,2.54345,sub-13_ses-1_task-encoding_run-3_bold,mm
fwhm_z,2.556963333333333,sub-13_ses-1_task-encoding_run-4_bold,mm
fwhm_z,2.58173,sub-13_ses-1_task-encoding_run-5_bold,mm
fwhm_z,2.5862000000000003,sub-13_ses-1_task-encoding_run-6_bold,mm
fwhm_z,2.5637666666666665,sub-13_ses-1_task-encoding_run-7_bold,mm
fwhm_z,2.55781,sub-13_ses-1_task-encoding_run-8_bold,mm
fwhm_z,2.504633333333333,sub-13_ses-1_task-rest_run-1_bold,mm
fwhm_z,2.5661666666666667,sub-13_ses-1_task-rest_run-2_bold,mm
fwhm_z,2.517503333333333,sub-13_ses-1_task-similarity_run-1_bold,mm
fwhm_z,2.5425033333333333,sub-13_ses-1_task-similarity_run-2_bold,mm
fwhm_z,2.6020933333333334,sub-13_ses-2_task-encoding_run-1_bold,mm
fwhm_z,2.61538,sub-13_ses-2_task-encoding_run-2_bold,mm
fwhm_z,2.6062266666666667,sub-13_ses-2_task-encoding_run-3_bold,mm
fwhm_z,2.611353333333333,sub-13_ses-2_task-encoding_run-4_bold,mm
fwhm_z,2.61939,sub-13_ses-2_task-encoding_run-5_bold,mm
fwhm_z,2.65372,sub-13_ses-2_task-encoding_run-6_bold,mm
fwhm_z,2.66874,sub-13_ses-2_task-encoding_run-7_bold,mm
fwhm_z,2.6538733333333333,sub-13_ses-2_task-encoding_run-8_bold,mm
fwhm_z,2.6704066666666666,sub-13_ses-2_task-rest_run-1_bold,mm
fwhm_z,2.6851866666666666,sub-13_ses-2_task-similarity_run-1_bold,mm
fwhm_z,2.6725933333333334,sub-13_ses-2_task-similarity_run-2_bold,mm
fwhm_z,2.93212,sub-14_ses-1_task-encoding_run-1_bold,mm
fwhm_z,2.974883333333333,sub-14_ses-1_task-encoding_run-2_bold,mm
fwhm_z,2.9832,sub-14_ses-1_task-encoding_run-3_bold,mm
fwhm_z,2.9917200000000004,sub-14_ses-1_task-encoding_run-4_bold,mm
fwhm_z,2.999276666666667,sub-14_ses-1_task-encoding_run-5_bold,mm
fwhm_z,2.98978,sub-14_ses-1_task-encoding_run-6_bold,mm
fwhm_z,2.99788,sub-14_ses-1_task-encoding_run-7_bold,mm
fwhm_z,2.99458,sub-14_ses-1_task-encoding_run-8_bold,mm
fwhm_z,2.9591100000000004,sub-14_ses-1_task-rest_run-1_bold,mm
fwhm_z,3.0002600000000004,sub-14_ses-1_task-rest_run-2_bold,mm
fwhm_z,2.9279233333333337,sub-14_ses-1_task-similarity_run-1_bold,mm
fwhm_z,2.9291633333333333,sub-14_ses-1_task-similarity_run-2_bold,mm
fwhm_z,2.4568966666666667,sub-14_ses-2_task-encoding_run-1_bold,mm
fwhm_z,2.429133333333333,sub-14_ses-2_task-encoding_run-2_bold,mm
fwhm_z,2.492383333333333,sub-14_ses-2_task-encoding_run-3_bold,mm
fwhm_z,2.4564266666666668,sub-14_ses-2_task-encoding_run-4_bold,mm
fwhm_z,2.459353333333333,sub-14_ses-2_task-encoding_run-5_bold,mm
fwhm_z,2.4870233333333336,sub-14_ses-2_task-encoding_run-6_bold,mm
fwhm_z,2.4931233333333336,sub-14_ses-2_task-encoding_run-7_bold,mm
fwhm_z,2.504236666666667,sub-14_ses-2_task-encoding_run-8_bold,mm
fwhm_z,2.486476666666667,sub-14_ses-2_task-rest_run-1_bold,mm
fwhm_z,2.459686666666667,sub-14_ses-2_task-similarity_run-1_bold,mm
fwhm_z,2.46778,sub-14_ses-2_task-similarity_run-2_bold,mm
fwhm_z,2.5662333333333334,sub-16_ses-1_task-encoding_run-1_bold,mm
fwhm_z,2.56816,sub-16_ses-1_task-encoding_run-2_bold,mm
fwhm_z,2.5715266666666667,sub-16_ses-1_task-encoding_run-3_bold,mm
fwhm_z,2.5661066666666668,sub-16_ses-1_task-encoding_run-4_bold,mm
fwhm_z,2.559803333333333,sub-16_ses-1_task-encoding_run-5_bold,mm
fwhm_z,2.5418166666666666,sub-16_ses-1_task-encoding_run-6_bold,mm
fwhm_z,2.556153333333333,sub-16_ses-1_task-encoding_run-7_bold,mm
fwhm_z,2.52868,sub-16_ses-1_task-encoding_run-8_bold,mm
fwhm_z,2.5046833333333334,sub-16_ses-1_task-rest_run-1_bold,mm
fwhm_z,2.50905,sub-16_ses-1_task-rest_run-2_bold,mm
fwhm_z,2.5180466666666668,sub-16_ses-1_task-similarity_run-1_bold,mm
fwhm_z,2.5477833333333333,sub-16_ses-1_task-similarity_run-2_bold,mm
fwhm_z,2.370203333333333,sub-16_ses-2_task-encoding_run-1_bold,mm
fwhm_z,2.36291,sub-16_ses-2_task-encoding_run-2_bold,mm
fwhm_z,2.3650800000000003,sub-16_ses-2_task-encoding_run-3_bold,mm
fwhm_z,2.3810366666666667,sub-16_ses-2_task-encoding_run-4_bold,mm
fwhm_z,2.331323333333333,sub-16_ses-2_task-encoding_run-5_bold,mm
fwhm_z,2.41841,sub-16_ses-2_task-encoding_run-6_bold,mm
fwhm_z,2.3644366666666667,sub-16_ses-2_task-encoding_run-7_bold,mm
fwhm_z,2.3689633333333333,sub-16_ses-2_task-encoding_run-8_bold,mm
fwhm_z,2.363,sub-16_ses-2_task-rest_run-1_bold,mm
fwhm_z,2.347713333333333,sub-16_ses-2_task-similarity_run-1_bold,mm
fwhm_z,2.3287633333333333,sub-16_ses-2_task-similarity_run-2_bold,mm
fwhm_z,2.166193333333333,sub-17_ses-1_task-encoding_run-1_bold,mm
fwhm_z,2.153303333333333,sub-17_ses-1_task-encoding_run-2_bold,mm
fwhm_z,2.15422,sub-17_ses-1_task-encoding_run-3_bold,mm
fwhm_z,2.18319,sub-17_ses-1_task-encoding_run-4_bold,mm
fwhm_z,2.213013333333333,sub-17_ses-1_task-encoding_run-5_bold,mm
fwhm_z,2.1978766666666667,sub-17_ses-1_task-encoding_run-6_bold,mm
fwhm_z,2.17023,sub-17_ses-1_task-encoding_run-7_bold,mm
fwhm_z,2.2050366666666665,sub-17_ses-1_task-encoding_run-8_bold,mm
fwhm_z,2.130646666666667,sub-17_ses-1_task-rest_run-1_bold,mm
fwhm_z,2.1986066666666666,sub-17_ses-1_task-rest_run-2_bold,mm
fwhm_z,2.10155,sub-17_ses-1_task-similarity_run-1_bold,mm
fwhm_z,2.127596666666667,sub-17_ses-1_task-similarity_run-2_bold,mm
fwhm_z,2.2495233333333333,sub-17_ses-2_task-encoding_run-1_bold,mm
fwhm_z,2.25308,sub-17_ses-2_task-encoding_run-2_bold,mm
fwhm_z,2.2656300000000003,sub-17_ses-2_task-encoding_run-3_bold,mm
fwhm_z,2.2418666666666667,sub-17_ses-2_task-encoding_run-4_bold,mm
fwhm_z,2.239456666666667,sub-17_ses-2_task-encoding_run-5_bold,mm
fwhm_z,2.244143333333333,sub-17_ses-2_task-encoding_run-6_bold,mm
fwhm_z,2.222913333333333,sub-17_ses-2_task-encoding_run-7_bold,mm
fwhm_z,2.23974,sub-17_ses-2_task-encoding_run-8_bold,mm
fwhm_z,2.2549966666666665,sub-17_ses-2_task-rest_run-1_bold,mm
fwhm_z,2.298086666666667,sub-17_ses-2_task-similarity_run-1_bold,mm
fwhm_z,2.2621166666666666,sub-17_ses-2_task-similarity_run-2_bold,mm
fwhm_z,2.464643333333333,sub-18_ses-1_task-encoding_run-1_bold,mm
fwhm_z,2.483116666666666,sub-18_ses-1_task-encoding_run-2_bold,mm
fwhm_z,2.469103333333333,sub-18_ses-1_task-encoding_run-3_bold,mm
fwhm_z,2.47577,sub-18_ses-1_task-encoding_run-4_bold,mm
fwhm_z,2.4700866666666665,sub-18_ses-1_task-encoding_run-5_bold,mm
fwhm_z,2.491643333333333,sub-18_ses-1_task-encoding_run-6_bold,mm
fwhm_z,2.4812233333333333,sub-18_ses-1_task-encoding_run-7_bold,mm
fwhm_z,2.4619766666666667,sub-18_ses-1_task-encoding_run-8_bold,mm
fwhm_z,2.4534433333333334,sub-18_ses-1_task-rest_run-1_bold,mm
fwhm_z,2.4670433333333333,sub-18_ses-1_task-rest_run-2_bold,mm
fwhm_z,2.46511,sub-18_ses-1_task-similarity_run-1_bold,mm
fwhm_z,2.4605900000000003,sub-18_ses-1_task-similarity_run-2_bold,mm
fwhm_z,2.46546,sub-18_ses-2_task-encoding_run-1_bold,mm
fwhm_z,2.4647,sub-18_ses-2_task-encoding_run-2_bold,mm
fwhm_z,2.514263333333333,sub-18_ses-2_task-encoding_run-3_bold,mm
fwhm_z,2.5420233333333333,sub-18_ses-2_task-encoding_run-4_bold,mm
fwhm_z,2.5629733333333333,sub-18_ses-2_task-encoding_run-5_bold,mm
fwhm_z,2.5813900000000003,sub-18_ses-2_task-encoding_run-6_bold,mm
fwhm_z,2.53992,sub-18_ses-2_task-encoding_run-7_bold,mm
fwhm_z,2.5577666666666667,sub-18_ses-2_task-encoding_run-8_bold,mm
fwhm_z,2.5361766666666665,sub-18_ses-2_task-rest_run-1_bold,mm
fwhm_z,2.6243333333333334,sub-18_ses-2_task-similarity_run-1_bold,mm
fwhm_z,2.58593,sub-18_ses-2_task-similarity_run-2_bold,mm
fwhm_z,2.369623333333333,sub-19_ses-1_task-encoding_run-1_bold,mm
fwhm_z,2.379223333333333,sub-19_ses-1_task-encoding_run-2_bold,mm
fwhm_z,2.3868266666666664,sub-19_ses-1_task-encoding_run-3_bold,mm
fwhm_z,2.38788,sub-19_ses-1_task-encoding_run-4_bold,mm
fwhm_z,2.395093333333333,sub-19_ses-1_task-encoding_run-5_bold,mm
fwhm_z,2.359926666666667,sub-19_ses-1_task-encoding_run-6_bold,mm
fwhm_z,2.40772,sub-19_ses-1_task-encoding_run-7_bold,mm
fwhm_z,2.36915,sub-19_ses-1_task-encoding_run-8_bold,mm
fwhm_z,2.373366666666666,sub-19_ses-1_task-rest_run-1_bold,mm
fwhm_z,2.426156666666667,sub-19_ses-1_task-rest_run-2_bold,mm
fwhm_z,2.3812133333333336,sub-19_ses-1_task-similarity_run-1_bold,mm
fwhm_z,2.3705066666666665,sub-19_ses-1_task-similarity_run-2_bold,mm
fwhm_z,2.426693333333333,sub-19_ses-2_task-encoding_run-1_bold,mm
fwhm_z,2.420463333333333,sub-19_ses-2_task-encoding_run-2_bold,mm
fwhm_z,2.4301266666666668,sub-19_ses-2_task-encoding_run-3_bold,mm
fwhm_z,2.4372933333333333,sub-19_ses-2_task-encoding_run-4_bold,mm
fwhm_z,2.440393333333333,sub-19_ses-2_task-encoding_run-5_bold,mm
fwhm_z,2.4690566666666665,sub-19_ses-2_task-encoding_run-6_bold,mm
fwhm_z,2.47973,sub-19_ses-2_task-encoding_run-7_bold,mm
fwhm_z,2.5030666666666668,sub-19_ses-2_task-encoding_run-8_bold,mm
fwhm_z,2.48937,sub-19_ses-2_task-rest_run-1_bold,mm
fwhm_z,2.467083333333333,sub-19_ses-2_task-similarity_run-1_bold,mm
fwhm_z,2.48834,sub-19_ses-2_task-similarity_run-2_bold,mm
fwhm_z,2.4108966666666665,sub-20_ses-1_task-encoding_run-1_bold,mm
fwhm_z,2.4103766666666666,sub-20_ses-1_task-encoding_run-2_bold,mm
fwhm_z,2.4149366666666667,sub-20_ses-1_task-encoding_run-3_bold,mm
fwhm_z,2.41469,sub-20_ses-1_task-encoding_run-4_bold,mm
fwhm_z,2.4094266666666666,sub-20_ses-1_task-encoding_run-5_bold,mm
fwhm_z,2.3956566666666665,sub-20_ses-1_task-encoding_run-6_bold,mm
fwhm_z,2.401616666666667,sub-20_ses-1_task-encoding_run-7_bold,mm
fwhm_z,2.406896666666667,sub-20_ses-1_task-encoding_run-8_bold,mm
fwhm_z,2.3724066666666666,sub-20_ses-1_task-rest_run-1_bold,mm
fwhm_z,2.402233333333333,sub-20_ses-1_task-rest_run-2_bold,mm
fwhm_z,2.388923333333333,sub-20_ses-1_task-similarity_run-1_bold,mm
fwhm_z,2.40988,sub-20_ses-1_task-similarity_run-2_bold,mm
fwhm_z,2.3508666666666667,sub-20_ses-2_task-encoding_run-1_bold,mm
fwhm_z,2.34488,sub-20_ses-2_task-encoding_run-2_bold,mm
fwhm_z,2.329646666666666,sub-20_ses-2_task-encoding_run-3_bold,mm
fwhm_z,2.356403333333333,sub-20_ses-2_task-encoding_run-4_bold,mm
fwhm_z,2.364286666666666,sub-20_ses-2_task-encoding_run-5_bold,mm
fwhm_z,2.37411,sub-20_ses-2_task-encoding_run-6_bold,mm
fwhm_z,2.34464,sub-20_ses-2_task-encoding_run-7_bold,mm
fwhm_z,2.3628433333333336,sub-20_ses-2_task-encoding_run-8_bold,mm
fwhm_z,2.3541833333333333,sub-20_ses-2_task-rest_run-1_bold,mm
fwhm_z,2.3655433333333336,sub-20_ses-2_task-similarity_run-1_bold,mm
fwhm_z,2.36886,sub-20_ses-2_task-similarity_run-2_bold,mm
fwhm_z,2.82595,sub-25_ses-1_task-encoding_run-1_bold,mm
fwhm_z,2.939173333333333,sub-25_ses-1_task-encoding_run-2_bold,mm
fwhm_z,2.82993,sub-25_ses-1_task-encoding_run-3_bold,mm
fwhm_z,2.849156666666667,sub-25_ses-1_task-encoding_run-4_bold,mm
fwhm_z,2.837336666666667,sub-25_ses-1_task-encoding_run-5_bold,mm
fwhm_z,2.8556633333333337,sub-25_ses-1_task-encoding_run-6_bold,mm
fwhm_z,2.8727066666666663,sub-25_ses-1_task-encoding_run-7_bold,mm
fwhm_z,2.856856666666667,sub-25_ses-1_task-encoding_run-8_bold,mm
fwhm_z,2.8460366666666665,sub-25_ses-1_task-rest_run-1_bold,mm
fwhm_z,2.895253333333333,sub-25_ses-1_task-rest_run-2_bold,mm
fwhm_z,2.91263,sub-25_ses-1_task-similarity_run-1_bold,mm
fwhm_z,2.8590066666666663,sub-25_ses-1_task-similarity_run-2_bold,mm
fwhm_z,2.739473333333333,sub-25_ses-2_task-encoding_run-1_bold,mm
fwhm_z,2.7366166666666665,sub-25_ses-2_task-encoding_run-2_bold,mm
fwhm_z,2.74799,sub-25_ses-2_task-encoding_run-3_bold,mm
fwhm_z,2.7262633333333333,sub-25_ses-2_task-encoding_run-4_bold,mm
fwhm_z,2.7474066666666666,sub-25_ses-2_task-encoding_run-5_bold,mm
fwhm_z,2.7757,sub-25_ses-2_task-encoding_run-6_bold,mm
fwhm_z,2.7418066666666667,sub-25_ses-2_task-encoding_run-7_bold,mm
fwhm_z,2.719996666666667,sub-25_ses-2_task-encoding_run-8_bold,mm
fwhm_z,2.764583333333333,sub-25_ses-2_task-rest_run-1_bold,mm
fwhm_z,2.82938,sub-25_ses-2_task-similarity_run-1_bold,mm
fwhm_z,2.7593566666666667,sub-25_ses-2_task-similarity_run-2_bold,mm
fwhm_z,2.4378366666666667,sub-26_ses-1_task-encoding_run-1_bold,mm
fwhm_z,2.4664766666666664,sub-26_ses-1_task-encoding_run-2_bold,mm
fwhm_z,2.47607,sub-26_ses-1_task-encoding_run-3_bold,mm
fwhm_z,2.478776666666666,sub-26_ses-1_task-encoding_run-4_bold,mm
fwhm_z,2.5096166666666666,sub-26_ses-1_task-encoding_run-5_bold,mm
fwhm_z,2.45399,sub-26_ses-1_task-encoding_run-6_bold,mm
fwhm_z,2.430336666666667,sub-26_ses-1_task-encoding_run-7_bold,mm
fwhm_z,2.4227233333333333,sub-26_ses-1_task-encoding_run-8_bold,mm
fwhm_z,2.4583733333333333,sub-26_ses-1_task-rest_run-1_bold,mm
fwhm_z,2.450036666666666,sub-26_ses-1_task-rest_run-2_bold,mm
fwhm_z,2.4578866666666666,sub-26_ses-1_task-similarity_run-1_bold,mm
fwhm_z,2.4506366666666666,sub-26_ses-1_task-similarity_run-2_bold,mm
fwhm_z,2.502946666666667,sub-26_ses-2_task-encoding_run-1_bold,mm
fwhm_z,2.4751366666666668,sub-26_ses-2_task-encoding_run-2_bold,mm
fwhm_z,2.500113333333333,sub-26_ses-2_task-encoding_run-3_bold,mm
fwhm_z,2.5254866666666667,sub-26_ses-2_task-encoding_run-4_bold,mm
fwhm_z,2.52784,sub-26_ses-2_task-encoding_run-5_bold,mm
fwhm_z,2.5207866666666665,sub-26_ses-2_task-encoding_run-6_bold,mm
fwhm_z,2.5435666666666665,sub-26_ses-2_task-encoding_run-7_bold,mm
fwhm_z,2.5483933333333333,sub-26_ses-2_task-encoding_run-8_bold,mm
fwhm_z,2.5564566666666666,sub-26_ses-2_task-rest_run-1_bold,mm
fwhm_z,2.5344966666666666,sub-26_ses-2_task-similarity_run-1_bold,mm
fwhm_z,2.572563333333333,sub-26_ses-2_task-similarity_run-2_bold,mm
fwhm_z,2.36299,sub-27_ses-1_task-encoding_run-1_bold,mm
fwhm_z,2.375266666666666,sub-27_ses-1_task-encoding_run-2_bold,mm
fwhm_z,2.3970766666666665,sub-27_ses-1_task-encoding_run-3_bold,mm
fwhm_z,2.3831466666666667,sub-27_ses-1_task-encoding_run-4_bold,mm
fwhm_z,2.3894,sub-27_ses-1_task-encoding_run-5_bold,mm
fwhm_z,2.38504,sub-27_ses-1_task-encoding_run-6_bold,mm
fwhm_z,2.38241,sub-27_ses-1_task-encoding_run-7_bold,mm
fwhm_z,2.3837533333333334,sub-27_ses-1_task-encoding_run-8_bold,mm
fwhm_z,2.3457833333333333,sub-27_ses-1_task-rest_run-1_bold,mm
fwhm_z,2.39797,sub-27_ses-1_task-rest_run-2_bold,mm
fwhm_z,2.32492,sub-27_ses-1_task-similarity_run-1_bold,mm
fwhm_z,2.4626066666666664,sub-27_ses-1_task-similarity_run-2_bold,mm
fwhm_z,2.3845300000000003,sub-27_ses-2_task-encoding_run-1_bold,mm
fwhm_z,2.3806033333333336,sub-27_ses-2_task-encoding_run-2_bold,mm
fwhm_z,2.3577,sub-27_ses-2_task-encoding_run-3_bold,mm
fwhm_z,2.3209733333333333,sub-27_ses-2_task-encoding_run-4_bold,mm
fwhm_z,2.337023333333333,sub-27_ses-2_task-encoding_run-5_bold,mm
fwhm_z,2.3253566666666665,sub-27_ses-2_task-encoding_run-6_bold,mm
fwhm_z,2.3061066666666665,sub-27_ses-2_task-encoding_run-7_bold,mm
fwhm_z,2.33156,sub-27_ses-2_task-encoding_run-8_bold,mm
fwhm_z,2.33055,sub-27_ses-2_task-rest_run-1_bold,mm
fwhm_z,2.432933333333333,sub-27_ses-2_task-similarity_run-1_bold,mm
fwhm_z,2.3728966666666667,sub-27_ses-2_task-similarity_run-2_bold,mm
fwhm_z,2.213553333333333,sub-28_ses-1_task-encoding_run-1_bold,mm
fwhm_z,2.229503333333333,sub-28_ses-1_task-encoding_run-2_bold,mm
fwhm_z,2.24499,sub-28_ses-1_task-encoding_run-3_bold,mm
fwhm_z,2.25348,sub-28_ses-1_task-encoding_run-4_bold,mm
fwhm_z,2.25353,sub-28_ses-1_task-encoding_run-5_bold,mm
fwhm_z,2.22932,sub-28_ses-1_task-encoding_run-6_bold,mm
fwhm_z,2.2268966666666667,sub-28_ses-1_task-encoding_run-7_bold,mm
fwhm_z,2.2305266666666665,sub-28_ses-1_task-encoding_run-8_bold,mm
fwhm_z,2.2590866666666667,sub-28_ses-1_task-rest_run-1_bold,mm
fwhm_z,2.22952,sub-28_ses-1_task-rest_run-2_bold,mm
fwhm_z,2.24192,sub-28_ses-1_task-similarity_run-1_bold,mm
fwhm_z,2.240666666666667,sub-28_ses-1_task-similarity_run-2_bold,mm
fwhm_z,2.5870466666666667,sub-28_ses-2_task-encoding_run-1_bold,mm
fwhm_z,2.5939366666666666,sub-28_ses-2_task-encoding_run-2_bold,mm
fwhm_z,2.59632,sub-28_ses-2_task-encoding_run-3_bold,mm
fwhm_z,2.580016666666667,sub-28_ses-2_task-encoding_run-4_bold,mm
fwhm_z,2.602716666666667,sub-28_ses-2_task-encoding_run-5_bold,mm
fwhm_z,2.5956966666666665,sub-28_ses-2_task-encoding_run-6_bold,mm
fwhm_z,2.6092033333333333,sub-28_ses-2_task-encoding_run-7_bold,mm
fwhm_z,2.594883333333333,sub-28_ses-2_task-encoding_run-8_bold,mm
fwhm_z,2.6005366666666667,sub-28_ses-2_task-rest_run-1_bold,mm
fwhm_z,2.59644,sub-28_ses-2_task-similarity_run-1_bold,mm
fwhm_z,2.617083333333333,sub-28_ses-2_task-similarity_run-2_bold,mm
</pre>
<div class="chart-wrapper" id="chart-group3"></div>
<pre class="csvdata" id="data-csv3" style="display: none">
iqm,value,label,units
gsr_x,-0.0195677354931831,sub-01_ses-1_task-encoding_run-1_bold,
gsr_x,-0.0193849243223667,sub-01_ses-1_task-encoding_run-2_bold,
gsr_x,-0.0197913832962512,sub-01_ses-1_task-encoding_run-3_bold,
gsr_x,-0.0203148014843463,sub-01_ses-1_task-encoding_run-4_bold,
gsr_x,-0.0204788390547037,sub-01_ses-1_task-encoding_run-5_bold,
gsr_x,-0.0208633113652467,sub-01_ses-1_task-encoding_run-6_bold,
gsr_x,-0.021513782441616,sub-01_ses-1_task-encoding_run-7_bold,
gsr_x,-0.0221433248370885,sub-01_ses-1_task-encoding_run-8_bold,
gsr_x,-0.0154597321525216,sub-01_ses-1_task-rest_run-1_bold,
gsr_x,-0.0172100868076086,sub-01_ses-1_task-similarity_run-1_bold,
gsr_x,-0.01832777261734,sub-01_ses-1_task-similarity_run-2_bold,
gsr_x,-0.0129611995071172,sub-01_ses-2_task-encoding_run-1_bold,
gsr_x,-0.0141311725601553,sub-01_ses-2_task-encoding_run-2_bold,
gsr_x,-0.0143131790682673,sub-01_ses-2_task-encoding_run-3_bold,
gsr_x,-0.0142676206305623,sub-01_ses-2_task-encoding_run-4_bold,
gsr_x,-0.0130786625668406,sub-01_ses-2_task-encoding_run-5_bold,
gsr_x,-0.0147511856630444,sub-01_ses-2_task-encoding_run-6_bold,
gsr_x,-0.0149995824322104,sub-01_ses-2_task-encoding_run-7_bold,
gsr_x,-0.01519042160362,sub-01_ses-2_task-encoding_run-8_bold,
gsr_x,-0.0150019703432917,sub-01_ses-2_task-rest_run-1_bold,
gsr_x,-0.0161365028470754,sub-01_ses-2_task-similarity_run-1_bold,
gsr_x,-0.0168563835322856,sub-01_ses-2_task-similarity_run-2_bold,
gsr_x,-0.0075438763014972,sub-02_ses-1_task-encoding_run-1_bold,
gsr_x,-0.0082616591826081,sub-02_ses-1_task-encoding_run-2_bold,
gsr_x,-0.0080654276534914,sub-02_ses-1_task-encoding_run-3_bold,
gsr_x,-0.0084190275520086,sub-02_ses-1_task-encoding_run-4_bold,
gsr_x,-0.0091331042349338,sub-02_ses-1_task-encoding_run-5_bold,
gsr_x,-0.0098097436130046,sub-02_ses-1_task-encoding_run-6_bold,
gsr_x,-0.0099097248166799,sub-02_ses-1_task-encoding_run-7_bold,
gsr_x,-0.0107698589563369,sub-02_ses-1_task-encoding_run-8_bold,
gsr_x,-0.0044485460966825,sub-02_ses-1_task-rest_run-1_bold,
gsr_x,-0.0108477678149938,sub-02_ses-1_task-rest_run-2_bold,
gsr_x,-0.0052540493197739,sub-02_ses-1_task-similarity_run-1_bold,
gsr_x,-0.0067573902197182,sub-02_ses-1_task-similarity_run-2_bold,
gsr_x,-0.0031574857421219,sub-02_ses-2_task-encoding_run-1_bold,
gsr_x,-0.0029061746317893,sub-02_ses-2_task-encoding_run-2_bold,
gsr_x,-0.0030007287859916,sub-02_ses-2_task-encoding_run-3_bold,
gsr_x,-0.0036343911197036,sub-02_ses-2_task-encoding_run-4_bold,
gsr_x,-0.003758069127798,sub-02_ses-2_task-encoding_run-5_bold,
gsr_x,-0.0041774124838411,sub-02_ses-2_task-encoding_run-6_bold,
gsr_x,-0.0047593042254447,sub-02_ses-2_task-encoding_run-7_bold,
gsr_x,-0.0046695955097675,sub-02_ses-2_task-encoding_run-8_bold,
gsr_x,-0.0052540148608386,sub-02_ses-2_task-rest_run-1_bold,
gsr_x,-0.0018910721410065,sub-02_ses-2_task-similarity_run-1_bold,
gsr_x,-0.0031138772610574,sub-02_ses-2_task-similarity_run-2_bold,
gsr_x,-0.0093091167509555,sub-03_ses-1_task-encoding_run-1_bold,
gsr_x,-0.0087077943608164,sub-03_ses-1_task-encoding_run-2_bold,
gsr_x,-0.0091238413006067,sub-03_ses-1_task-encoding_run-3_bold,
gsr_x,-0.0096169458702206,sub-03_ses-1_task-encoding_run-4_bold,
gsr_x,-0.0089604845270514,sub-03_ses-1_task-encoding_run-5_bold,
gsr_x,-0.0105591341853141,sub-03_ses-1_task-encoding_run-6_bold,
gsr_x,-0.0102604134008288,sub-03_ses-1_task-encoding_run-7_bold,
gsr_x,-0.0111371502280235,sub-03_ses-1_task-encoding_run-8_bold,
gsr_x,-0.0065534804016351,sub-03_ses-1_task-rest_run-1_bold,
gsr_x,-0.0114464657381176,sub-03_ses-1_task-rest_run-2_bold,
gsr_x,-0.0070603070780634,sub-03_ses-1_task-similarity_run-1_bold,
gsr_x,-0.0066128293983638,sub-03_ses-1_task-similarity_run-2_bold,
gsr_x,-0.0145191121846437,sub-03_ses-2_task-encoding_run-1_bold,
gsr_x,-0.0153179746121168,sub-03_ses-2_task-encoding_run-2_bold,
gsr_x,-0.0161451566964387,sub-03_ses-2_task-encoding_run-3_bold,
gsr_x,-0.0156553536653518,sub-03_ses-2_task-encoding_run-4_bold,
gsr_x,-0.0167380068451166,sub-03_ses-2_task-encoding_run-5_bold,
gsr_x,-0.0168715007603168,sub-03_ses-2_task-encoding_run-6_bold,
gsr_x,-0.0168438125401735,sub-03_ses-2_task-encoding_run-7_bold,
gsr_x,-0.0169977396726608,sub-03_ses-2_task-encoding_run-8_bold,
gsr_x,-0.0175732672214508,sub-03_ses-2_task-rest_run-1_bold,
gsr_x,-0.0190856698900461,sub-03_ses-2_task-similarity_run-1_bold,
gsr_x,-0.0182028952986001,sub-03_ses-2_task-similarity_run-2_bold,
gsr_x,-0.0088274953886866,sub-04_ses-1_task-encoding_run-1_bold,
gsr_x,-0.0087149087339639,sub-04_ses-1_task-encoding_run-2_bold,
gsr_x,-0.0089779458940029,sub-04_ses-1_task-encoding_run-3_bold,
gsr_x,-0.0085971318185329,sub-04_ses-1_task-encoding_run-4_bold,
gsr_x,-0.0082440013065934,sub-04_ses-1_task-encoding_run-5_bold,
gsr_x,-0.0082997661083936,sub-04_ses-1_task-encoding_run-6_bold,
gsr_x,-0.008372837677598,sub-04_ses-1_task-encoding_run-7_bold,
gsr_x,-0.0085946163162589,sub-04_ses-1_task-encoding_run-8_bold,
gsr_x,-0.0040665571577847,sub-04_ses-1_task-rest_run-1_bold,
gsr_x,-0.0076379673555493,sub-04_ses-1_task-rest_run-2_bold,
gsr_x,-0.0058393026702106,sub-04_ses-1_task-similarity_run-1_bold,
gsr_x,-0.0070265801623463,sub-04_ses-1_task-similarity_run-2_bold,
gsr_x,-0.0054253372363746,sub-04_ses-2_task-encoding_run-1_bold,
gsr_x,-0.0054008653387427,sub-04_ses-2_task-encoding_run-2_bold,
gsr_x,-0.0056223892606794,sub-04_ses-2_task-encoding_run-3_bold,
gsr_x,-0.0060593332163989,sub-04_ses-2_task-encoding_run-4_bold,
gsr_x,-0.0072061740793287,sub-04_ses-2_task-encoding_run-5_bold,
gsr_x,-0.007813005708158,sub-04_ses-2_task-encoding_run-6_bold,
gsr_x,-0.0086646573618054,sub-04_ses-2_task-encoding_run-7_bold,
gsr_x,-0.0094982841983437,sub-04_ses-2_task-encoding_run-8_bold,
gsr_x,-0.0105147305876016,sub-04_ses-2_task-rest_run-1_bold,
gsr_x,-0.0100700939074158,sub-04_ses-2_task-similarity_run-1_bold,
gsr_x,-0.0106045538559556,sub-04_ses-2_task-similarity_run-2_bold,
gsr_x,-0.0139686483889818,sub-06_ses-1_task-encoding_run-1_bold,
gsr_x,-0.0149819301441311,sub-06_ses-1_task-encoding_run-2_bold,
gsr_x,-0.0157287064939737,sub-06_ses-1_task-encoding_run-3_bold,
gsr_x,-0.0165267903357744,sub-06_ses-1_task-encoding_run-4_bold,
gsr_x,-0.01744962669909,sub-06_ses-1_task-encoding_run-5_bold,
gsr_x,-0.0188532508909702,sub-06_ses-1_task-encoding_run-6_bold,
gsr_x,-0.0196558106690645,sub-06_ses-1_task-encoding_run-7_bold,
gsr_x,-0.0207223556935787,sub-06_ses-1_task-encoding_run-8_bold,
gsr_x,-0.010725712403655,sub-06_ses-1_task-rest_run-1_bold,
gsr_x,-0.0209959410130977,sub-06_ses-1_task-rest_run-2_bold,
gsr_x,-0.0122769782319664,sub-06_ses-1_task-similarity_run-1_bold,
gsr_x,-0.01300342194736,sub-06_ses-1_task-similarity_run-2_bold,
gsr_x,-0.010740227997303,sub-06_ses-2_task-encoding_run-1_bold,
gsr_x,-0.0112067442387342,sub-06_ses-2_task-encoding_run-2_bold,
gsr_x,-0.0119108418002724,sub-06_ses-2_task-encoding_run-3_bold,
gsr_x,-0.0126810707151889,sub-06_ses-2_task-encoding_run-4_bold,
gsr_x,-0.0131276631727814,sub-06_ses-2_task-encoding_run-5_bold,
gsr_x,-0.0136210117489099,sub-06_ses-2_task-encoding_run-6_bold,
gsr_x,-0.0148546509444713,sub-06_ses-2_task-encoding_run-7_bold,
gsr_x,-0.015574250370264,sub-06_ses-2_task-encoding_run-8_bold,
gsr_x,-0.0161363072693347,sub-06_ses-2_task-rest_run-1_bold,
gsr_x,-0.0169698577374219,sub-06_ses-2_task-similarity_run-1_bold,
gsr_x,-0.0196784287691116,sub-06_ses-2_task-similarity_run-2_bold,
gsr_x,-0.0080308010801672,sub-08_ses-1_task-encoding_run-1_bold,
gsr_x,-0.008622501976788,sub-08_ses-1_task-encoding_run-2_bold,
gsr_x,-0.0087423212826251,sub-08_ses-1_task-encoding_run-3_bold,
gsr_x,-0.0082011446356773,sub-08_ses-1_task-encoding_run-4_bold,
gsr_x,-0.0086956024169921,sub-08_ses-1_task-encoding_run-5_bold,
gsr_x,-0.0099724037572741,sub-08_ses-1_task-encoding_run-6_bold,
gsr_x,-0.0097906962037086,sub-08_ses-1_task-encoding_run-7_bold,
gsr_x,-0.0102558210492134,sub-08_ses-1_task-encoding_run-8_bold,
gsr_x,-0.0056316251866519,sub-08_ses-1_task-rest_run-1_bold,
gsr_x,-0.0108139291405677,sub-08_ses-1_task-rest_run-2_bold,
gsr_x,-0.0055413246154785,sub-08_ses-1_task-similarity_run-1_bold,
gsr_x,-0.0061979675665497,sub-08_ses-1_task-similarity_run-2_bold,
gsr_x,-0.0056707365438342,sub-08_ses-2_task-encoding_run-1_bold,
gsr_x,-0.0056407549418509,sub-08_ses-2_task-encoding_run-2_bold,
gsr_x,-0.0056863497011363,sub-08_ses-2_task-encoding_run-3_bold,
gsr_x,-0.005770752672106,sub-08_ses-2_task-encoding_run-4_bold,
gsr_x,-0.0063132313080132,sub-08_ses-2_task-encoding_run-5_bold,
gsr_x,-0.0062834890559315,sub-08_ses-2_task-encoding_run-6_bold,
gsr_x,-0.0069866175763309,sub-08_ses-2_task-encoding_run-7_bold,
gsr_x,-0.0068805888295173,sub-08_ses-2_task-encoding_run-8_bold,
gsr_x,-0.0074225757271051,sub-08_ses-2_task-rest_run-1_bold,
gsr_x,-0.0067648570984601,sub-08_ses-2_task-similarity_run-1_bold,
gsr_x,-0.0074616391211748,sub-08_ses-2_task-similarity_run-2_bold,
gsr_x,-0.0055192043073475,sub-09_ses-1_task-encoding_run-1_bold,
gsr_x,-0.0050624832510948,sub-09_ses-1_task-encoding_run-2_bold,
gsr_x,-0.0054531404748559,sub-09_ses-1_task-encoding_run-3_bold,
gsr_x,-0.0059554213657975,sub-09_ses-1_task-encoding_run-4_bold,
gsr_x,-0.0057266969233751,sub-09_ses-1_task-encoding_run-5_bold,
gsr_x,-0.0064883395098149,sub-09_ses-1_task-encoding_run-6_bold,
gsr_x,-0.0071206744760274,sub-09_ses-1_task-encoding_run-7_bold,
gsr_x,-0.007180942222476,sub-09_ses-1_task-encoding_run-8_bold,
gsr_x,-0.002553958678618,sub-09_ses-1_task-rest_run-1_bold,
gsr_x,-0.0076221656054258,sub-09_ses-1_task-rest_run-2_bold,
gsr_x,-0.0039891516789793,sub-09_ses-1_task-similarity_run-1_bold,
gsr_x,-0.0042297444306313,sub-09_ses-1_task-similarity_run-2_bold,
gsr_x,-0.0045492490753531,sub-09_ses-2_task-encoding_run-1_bold,
gsr_x,-0.0049734399653971,sub-09_ses-2_task-encoding_run-2_bold,
gsr_x,-0.0047294497489929,sub-09_ses-2_task-encoding_run-3_bold,
gsr_x,-0.0038127389270812,sub-09_ses-2_task-encoding_run-4_bold,
gsr_x,-0.0043280962854623,sub-09_ses-2_task-encoding_run-5_bold,
gsr_x,-0.004547749646008,sub-09_ses-2_task-encoding_run-6_bold,
gsr_x,-0.0041111609898507,sub-09_ses-2_task-encoding_run-7_bold,
gsr_x,-0.0049470546655356,sub-09_ses-2_task-encoding_run-8_bold,
gsr_x,-0.0058119562454521,sub-09_ses-2_task-rest_run-1_bold,
gsr_x,-0.005926092620939,sub-09_ses-2_task-similarity_run-1_bold,
gsr_x,-0.0060960459522902,sub-09_ses-2_task-similarity_run-2_bold,
gsr_x,-0.0063348454423248,sub-10_ses-1_task-encoding_run-1_bold,
gsr_x,-0.0070230918936431,sub-10_ses-1_task-encoding_run-2_bold,
gsr_x,-0.0073257540352642,sub-10_ses-1_task-encoding_run-3_bold,
gsr_x,-0.0076031270436942,sub-10_ses-1_task-encoding_run-4_bold,
gsr_x,-0.0081384787335991,sub-10_ses-1_task-encoding_run-5_bold,
gsr_x,-0.0081104841083288,sub-10_ses-1_task-encoding_run-6_bold,
gsr_x,-0.0086823860183358,sub-10_ses-1_task-encoding_run-7_bold,
gsr_x,-0.0090151242911815,sub-10_ses-1_task-encoding_run-8_bold,
gsr_x,-0.0051762959919869,sub-10_ses-1_task-rest_run-1_bold,
gsr_x,-0.008713711053133,sub-10_ses-1_task-rest_run-2_bold,
gsr_x,-0.0050262440927326,sub-10_ses-1_task-similarity_run-1_bold,
gsr_x,-0.0050729899667203,sub-10_ses-1_task-similarity_run-2_bold,
gsr_x,-0.0057598412968218,sub-10_ses-2_task-encoding_run-1_bold,
gsr_x,-0.0062529016286134,sub-10_ses-2_task-encoding_run-2_bold,
gsr_x,-0.0066179074347019,sub-10_ses-2_task-encoding_run-3_bold,
gsr_x,-0.0066743614152073,sub-10_ses-2_task-encoding_run-4_bold,
gsr_x,-0.0068263481371104,sub-10_ses-2_task-encoding_run-5_bold,
gsr_x,-0.0074944412335753,sub-10_ses-2_task-encoding_run-6_bold,
gsr_x,-0.0080007258802652,sub-10_ses-2_task-encoding_run-7_bold,
gsr_x,-0.0086173666641116,sub-10_ses-2_task-encoding_run-8_bold,
gsr_x,-0.0086222141981124,sub-10_ses-2_task-rest_run-1_bold,
gsr_x,-0.0094363205134868,sub-10_ses-2_task-similarity_run-1_bold,
gsr_x,-0.009740013629198,sub-10_ses-2_task-similarity_run-2_bold,
gsr_x,-0.0103289689868688,sub-11_ses-1_task-encoding_run-1_bold,
gsr_x,-0.0103093301877379,sub-11_ses-1_task-encoding_run-2_bold,
gsr_x,-0.0101686436682939,sub-11_ses-1_task-encoding_run-3_bold,
gsr_x,-0.0108854714781045,sub-11_ses-1_task-encoding_run-4_bold,
gsr_x,-0.0111281983554363,sub-11_ses-1_task-encoding_run-5_bold,
gsr_x,-0.0109663354232907,sub-11_ses-1_task-encoding_run-6_bold,
gsr_x,-0.0116328280419111,sub-11_ses-1_task-encoding_run-7_bold,
gsr_x,-0.011604675091803,sub-11_ses-1_task-encoding_run-8_bold,
gsr_x,-0.009889387525618,sub-11_ses-1_task-rest_run-1_bold,
gsr_x,-0.0119913276284933,sub-11_ses-1_task-rest_run-2_bold,
gsr_x,-0.0096590816974639,sub-11_ses-1_task-similarity_run-1_bold,
gsr_x,-0.0086658485233783,sub-11_ses-1_task-similarity_run-2_bold,
gsr_x,-0.0132445124909281,sub-11_ses-2_task-encoding_run-1_bold,
gsr_x,-0.0134746963158249,sub-11_ses-2_task-encoding_run-2_bold,
gsr_x,-0.012655172497034,sub-11_ses-2_task-encoding_run-3_bold,
gsr_x,-0.0137658035382628,sub-11_ses-2_task-encoding_run-4_bold,
gsr_x,-0.0136465383693575,sub-11_ses-2_task-encoding_run-5_bold,
gsr_x,-0.0134712569415569,sub-11_ses-2_task-encoding_run-6_bold,
gsr_x,-0.0135423298925161,sub-11_ses-2_task-encoding_run-7_bold,
gsr_x,-0.0139052728191018,sub-11_ses-2_task-encoding_run-8_bold,
gsr_x,-0.0152533296495676,sub-11_ses-2_task-rest_run-1_bold,
gsr_x,-0.0168087650090456,sub-11_ses-2_task-similarity_run-1_bold,
gsr_x,-0.0170439146459102,sub-11_ses-2_task-similarity_run-2_bold,
gsr_x,-0.0040920502506196,sub-13_ses-1_task-encoding_run-1_bold,
gsr_x,-0.0039638602174818,sub-13_ses-1_task-encoding_run-2_bold,
gsr_x,-0.0042654797434806,sub-13_ses-1_task-encoding_run-3_bold,
gsr_x,-0.0041895476169884,sub-13_ses-1_task-encoding_run-4_bold,
gsr_x,-0.0042886352166533,sub-13_ses-1_task-encoding_run-5_bold,
gsr_x,-0.00474957190454,sub-13_ses-1_task-encoding_run-6_bold,
gsr_x,-0.0049065789207816,sub-13_ses-1_task-encoding_run-7_bold,
gsr_x,-0.004935055039823,sub-13_ses-1_task-encoding_run-8_bold,
gsr_x,-0.001435725367628,sub-13_ses-1_task-rest_run-1_bold,
gsr_x,-0.0055123786441981,sub-13_ses-1_task-rest_run-2_bold,
gsr_x,-0.0012274628970772,sub-13_ses-1_task-similarity_run-1_bold,
gsr_x,-0.0026330321561545,sub-13_ses-1_task-similarity_run-2_bold,
gsr_x,-0.0003313633205834,sub-13_ses-2_task-encoding_run-1_bold,
gsr_x,-0.0004661428101826,sub-13_ses-2_task-encoding_run-2_bold,
gsr_x,-0.001213283627294,sub-13_ses-2_task-encoding_run-3_bold,
gsr_x,-0.001720352913253,sub-13_ses-2_task-encoding_run-4_bold,
gsr_x,-0.0024601730983704,sub-13_ses-2_task-encoding_run-5_bold,
gsr_x,-0.0027840603142976,sub-13_ses-2_task-encoding_run-6_bold,
gsr_x,-0.0034109291154891,sub-13_ses-2_task-encoding_run-7_bold,
gsr_x,-0.0041879354976117,sub-13_ses-2_task-encoding_run-8_bold,
gsr_x,-0.0043707229197025,sub-13_ses-2_task-rest_run-1_bold,
gsr_x,-0.0049826465547084,sub-13_ses-2_task-similarity_run-1_bold,
gsr_x,-0.0058478759601712,sub-13_ses-2_task-similarity_run-2_bold,
gsr_x,-0.0069729653187096,sub-14_ses-1_task-encoding_run-1_bold,
gsr_x,-0.007079429924488,sub-14_ses-1_task-encoding_run-2_bold,
gsr_x,-0.0068116635084152,sub-14_ses-1_task-encoding_run-3_bold,
gsr_x,-0.006788439117372,sub-14_ses-1_task-encoding_run-4_bold,
gsr_x,-0.0071238954551517,sub-14_ses-1_task-encoding_run-5_bold,
gsr_x,-0.0072013237513601,sub-14_ses-1_task-encoding_run-6_bold,
gsr_x,-0.0069480258971452,sub-14_ses-1_task-encoding_run-7_bold,
gsr_x,-0.0070079411379992,sub-14_ses-1_task-encoding_run-8_bold,
gsr_x,-0.0047746384516358,sub-14_ses-1_task-rest_run-1_bold,
gsr_x,-0.0070546208880841,sub-14_ses-1_task-rest_run-2_bold,
gsr_x,-0.0048672114498913,sub-14_ses-1_task-similarity_run-1_bold,
gsr_x,-0.0056966603733599,sub-14_ses-1_task-similarity_run-2_bold,
gsr_x,-0.0107354437932372,sub-14_ses-2_task-encoding_run-1_bold,
gsr_x,-0.0101590426638722,sub-14_ses-2_task-encoding_run-2_bold,
gsr_x,-0.0103758471086621,sub-14_ses-2_task-encoding_run-3_bold,
gsr_x,-0.0103751877322793,sub-14_ses-2_task-encoding_run-4_bold,
gsr_x,-0.0112551115453243,sub-14_ses-2_task-encoding_run-5_bold,
gsr_x,-0.011806228198111,sub-14_ses-2_task-encoding_run-6_bold,
gsr_x,-0.0118422228842973,sub-14_ses-2_task-encoding_run-7_bold,
gsr_x,-0.0118809221312403,sub-14_ses-2_task-encoding_run-8_bold,
gsr_x,-0.01105064060539,sub-14_ses-2_task-rest_run-1_bold,
gsr_x,-0.0114306500181555,sub-14_ses-2_task-similarity_run-1_bold,
gsr_x,-0.0120032727718353,sub-14_ses-2_task-similarity_run-2_bold,
gsr_x,-0.0067871701903641,sub-16_ses-1_task-encoding_run-1_bold,
gsr_x,-0.0063167847692966,sub-16_ses-1_task-encoding_run-2_bold,
gsr_x,-0.006984198000282,sub-16_ses-1_task-encoding_run-3_bold,
gsr_x,-0.0076752481982111,sub-16_ses-1_task-encoding_run-4_bold,
gsr_x,-0.0074946884997189,sub-16_ses-1_task-encoding_run-5_bold,
gsr_x,-0.0078240549191832,sub-16_ses-1_task-encoding_run-6_bold,
gsr_x,-0.0081715760752558,sub-16_ses-1_task-encoding_run-7_bold,
gsr_x,-0.0086196586489677,sub-16_ses-1_task-encoding_run-8_bold,
gsr_x,-0.0066018789075315,sub-16_ses-1_task-rest_run-1_bold,
gsr_x,-0.0091255037114024,sub-16_ses-1_task-rest_run-2_bold,
gsr_x,-0.0065079159103333,sub-16_ses-1_task-similarity_run-1_bold,
gsr_x,-0.0069671543315052,sub-16_ses-1_task-similarity_run-2_bold,
gsr_x,-0.0019086928805336,sub-16_ses-2_task-encoding_run-1_bold,
gsr_x,-0.0020423899404704,sub-16_ses-2_task-encoding_run-2_bold,
gsr_x,-0.001416633836925,sub-16_ses-2_task-encoding_run-3_bold,
gsr_x,-0.0009361818665638,sub-16_ses-2_task-encoding_run-4_bold,
gsr_x,-0.0009647405240684,sub-16_ses-2_task-encoding_run-5_bold,
gsr_x,-0.0011828725691884,sub-16_ses-2_task-encoding_run-6_bold,
gsr_x,-0.0014440187951549,sub-16_ses-2_task-encoding_run-7_bold,
gsr_x,-0.0020004650577902,sub-16_ses-2_task-encoding_run-8_bold,
gsr_x,-0.0031298152171075,sub-16_ses-2_task-rest_run-1_bold,
gsr_x,-0.0036438780371099,sub-16_ses-2_task-similarity_run-1_bold,
gsr_x,-0.0040320539847016,sub-16_ses-2_task-similarity_run-2_bold,
gsr_x,-0.0047182589769363,sub-17_ses-1_task-encoding_run-1_bold,
gsr_x,-0.0061597637832164,sub-17_ses-1_task-encoding_run-2_bold,
gsr_x,-0.006318774074316,sub-17_ses-1_task-encoding_run-3_bold,
gsr_x,-0.0067230449058115,sub-17_ses-1_task-encoding_run-4_bold,
gsr_x,-0.0071516949683427,sub-17_ses-1_task-encoding_run-5_bold,
gsr_x,-0.0070954035036265,sub-17_ses-1_task-encoding_run-6_bold,
gsr_x,-0.008319741114974,sub-17_ses-1_task-encoding_run-7_bold,
gsr_x,-0.0088766245171427,sub-17_ses-1_task-encoding_run-8_bold,
gsr_x,-0.0041094529442489,sub-17_ses-1_task-rest_run-1_bold,
gsr_x,-0.0088470540940761,sub-17_ses-1_task-rest_run-2_bold,
gsr_x,-0.003974069841206,sub-17_ses-1_task-similarity_run-1_bold,
gsr_x,-0.0037559657357633,sub-17_ses-1_task-similarity_run-2_bold,
gsr_x,-0.0028739876579493,sub-17_ses-2_task-encoding_run-1_bold,
gsr_x,-0.0035815383307635,sub-17_ses-2_task-encoding_run-2_bold,
gsr_x,-0.0033459353726357,sub-17_ses-2_task-encoding_run-3_bold,
gsr_x,-0.0036364884581416,sub-17_ses-2_task-encoding_run-4_bold,
gsr_x,-0.0032705231569707,sub-17_ses-2_task-encoding_run-5_bold,
gsr_x,-0.0024675542954355,sub-17_ses-2_task-encoding_run-6_bold,
gsr_x,-0.0024703410454094,sub-17_ses-2_task-encoding_run-7_bold,
gsr_x,-0.0035534282214939,sub-17_ses-2_task-encoding_run-8_bold,
gsr_x,-0.0044044652022421,sub-17_ses-2_task-rest_run-1_bold,
gsr_x,-0.004733920097351,sub-17_ses-2_task-similarity_run-1_bold,
gsr_x,-0.0057462407276034,sub-17_ses-2_task-similarity_run-2_bold,
gsr_x,-0.0103966640308499,sub-18_ses-1_task-encoding_run-1_bold,
gsr_x,-0.0095920898020267,sub-18_ses-1_task-encoding_run-2_bold,
gsr_x,-0.0101673435419797,sub-18_ses-1_task-encoding_run-3_bold,
gsr_x,-0.0104467989876866,sub-18_ses-1_task-encoding_run-4_bold,
gsr_x,-0.011171730235219,sub-18_ses-1_task-encoding_run-5_bold,
gsr_x,-0.0117806112393736,sub-18_ses-1_task-encoding_run-6_bold,
gsr_x,-0.0122508266940712,sub-18_ses-1_task-encoding_run-7_bold,
gsr_x,-0.0130287148058414,sub-18_ses-1_task-encoding_run-8_bold,
gsr_x,-0.0081198886036872,sub-18_ses-1_task-rest_run-1_bold,
gsr_x,-0.014296306297183,sub-18_ses-1_task-rest_run-2_bold,
gsr_x,-0.0082618007436394,sub-18_ses-1_task-similarity_run-1_bold,
gsr_x,-0.0094430092722177,sub-18_ses-1_task-similarity_run-2_bold,
gsr_x,-0.0063529121689498,sub-18_ses-2_task-encoding_run-1_bold,
gsr_x,-0.0073944861069321,sub-18_ses-2_task-encoding_run-2_bold,
gsr_x,-0.007310343440622,sub-18_ses-2_task-encoding_run-3_bold,
gsr_x,-0.0075666573829948,sub-18_ses-2_task-encoding_run-4_bold,
gsr_x,-0.0081355907022953,sub-18_ses-2_task-encoding_run-5_bold,
gsr_x,-0.0084780910983681,sub-18_ses-2_task-encoding_run-6_bold,
gsr_x,-0.008902845904231,sub-18_ses-2_task-encoding_run-7_bold,
gsr_x,-0.0096224294975399,sub-18_ses-2_task-encoding_run-8_bold,
gsr_x,-0.0100552979856729,sub-18_ses-2_task-rest_run-1_bold,
gsr_x,-0.0107668042182922,sub-18_ses-2_task-similarity_run-1_bold,
gsr_x,-0.0118317641317844,sub-18_ses-2_task-similarity_run-2_bold,
gsr_x,-0.0134842041879892,sub-19_ses-1_task-encoding_run-1_bold,
gsr_x,-0.0136308949440717,sub-19_ses-1_task-encoding_run-2_bold,
gsr_x,-0.0139044132083654,sub-19_ses-1_task-encoding_run-3_bold,
gsr_x,-0.0139530980959534,sub-19_ses-1_task-encoding_run-4_bold,
gsr_x,-0.0141318477690219,sub-19_ses-1_task-encoding_run-5_bold,
gsr_x,-0.0141442436724901,sub-19_ses-1_task-encoding_run-6_bold,
gsr_x,-0.0143282618373632,sub-19_ses-1_task-encoding_run-7_bold,
gsr_x,-0.0146126402541995,sub-19_ses-1_task-encoding_run-8_bold,
gsr_x,-0.011362642981112,sub-19_ses-1_task-rest_run-1_bold,
gsr_x,-0.014739541336894,sub-19_ses-1_task-rest_run-2_bold,
gsr_x,-0.0119666028767824,sub-19_ses-1_task-similarity_run-1_bold,
gsr_x,-0.0123027265071868,sub-19_ses-1_task-similarity_run-2_bold,
gsr_x,-0.0123080518096685,sub-19_ses-2_task-encoding_run-1_bold,
gsr_x,-0.0130592351779341,sub-19_ses-2_task-encoding_run-2_bold,
gsr_x,-0.0132412193343043,sub-19_ses-2_task-encoding_run-3_bold,
gsr_x,-0.0133470436558127,sub-19_ses-2_task-encoding_run-4_bold,
gsr_x,-0.0135564096271991,sub-19_ses-2_task-encoding_run-5_bold,
gsr_x,-0.0139502631500363,sub-19_ses-2_task-encoding_run-6_bold,
gsr_x,-0.0144123379141092,sub-19_ses-2_task-encoding_run-7_bold,
gsr_x,-0.0146459201350808,sub-19_ses-2_task-encoding_run-8_bold,
gsr_x,-0.0148921366780996,sub-19_ses-2_task-rest_run-1_bold,
gsr_x,-0.0156441982835531,sub-19_ses-2_task-similarity_run-1_bold,
gsr_x,-0.0170560237020254,sub-19_ses-2_task-similarity_run-2_bold,
gsr_x,-0.0080860964953899,sub-20_ses-1_task-encoding_run-1_bold,
gsr_x,-0.0081318533048033,sub-20_ses-1_task-encoding_run-2_bold,
gsr_x,-0.0089864721521735,sub-20_ses-1_task-encoding_run-3_bold,
gsr_x,-0.0091995671391487,sub-20_ses-1_task-encoding_run-4_bold,
gsr_x,-0.0095912860706448,sub-20_ses-1_task-encoding_run-5_bold,
gsr_x,-0.0104079656302928,sub-20_ses-1_task-encoding_run-6_bold,
gsr_x,-0.0106697995215654,sub-20_ses-1_task-encoding_run-7_bold,
gsr_x,-0.010187679901719,sub-20_ses-1_task-encoding_run-8_bold,
gsr_x,-0.0068153250031173,sub-20_ses-1_task-rest_run-1_bold,
gsr_x,-0.0107173426076769,sub-20_ses-1_task-rest_run-2_bold,
gsr_x,-0.0065768626518547,sub-20_ses-1_task-similarity_run-1_bold,
gsr_x,-0.0069369878619909,sub-20_ses-1_task-similarity_run-2_bold,
gsr_x,-0.0093669276684522,sub-20_ses-2_task-encoding_run-1_bold,
gsr_x,-0.0101993503049016,sub-20_ses-2_task-encoding_run-2_bold,
gsr_x,-0.0102659184485673,sub-20_ses-2_task-encoding_run-3_bold,
gsr_x,-0.0106548499315977,sub-20_ses-2_task-encoding_run-4_bold,
gsr_x,-0.0107406806200742,sub-20_ses-2_task-encoding_run-5_bold,
gsr_x,-0.0113391624763607,sub-20_ses-2_task-encoding_run-6_bold,
gsr_x,-0.0115833617746829,sub-20_ses-2_task-encoding_run-7_bold,
gsr_x,-0.0116198817268013,sub-20_ses-2_task-encoding_run-8_bold,
gsr_x,-0.0124624809250235,sub-20_ses-2_task-rest_run-1_bold,
gsr_x,-0.0118430238217115,sub-20_ses-2_task-similarity_run-1_bold,
gsr_x,-0.0132222697138786,sub-20_ses-2_task-similarity_run-2_bold,
gsr_x,-0.0046661286614835,sub-25_ses-1_task-encoding_run-1_bold,
gsr_x,-0.0050011849962174,sub-25_ses-1_task-encoding_run-2_bold,
gsr_x,-0.0063279480673372,sub-25_ses-1_task-encoding_run-3_bold,
gsr_x,-0.0059600686654448,sub-25_ses-1_task-encoding_run-4_bold,
gsr_x,-0.0063792681321501,sub-25_ses-1_task-encoding_run-5_bold,
gsr_x,-0.0069187274202704,sub-25_ses-1_task-encoding_run-6_bold,
gsr_x,-0.0075136353261768,sub-25_ses-1_task-encoding_run-7_bold,
gsr_x,-0.0080170230939984,sub-25_ses-1_task-encoding_run-8_bold,
gsr_x,-0.0027884289156645,sub-25_ses-1_task-rest_run-1_bold,
gsr_x,-0.0075936401262879,sub-25_ses-1_task-rest_run-2_bold,
gsr_x,-0.0031708101741969,sub-25_ses-1_task-similarity_run-1_bold,
gsr_x,-0.0043035526759922,sub-25_ses-1_task-similarity_run-2_bold,
gsr_x,-0.0039339349605143,sub-25_ses-2_task-encoding_run-1_bold,
gsr_x,-0.0051852916367352,sub-25_ses-2_task-encoding_run-2_bold,
gsr_x,-0.0052275997586548,sub-25_ses-2_task-encoding_run-3_bold,
gsr_x,-0.0055148624815046,sub-25_ses-2_task-encoding_run-4_bold,
gsr_x,-0.0055760093964636,sub-25_ses-2_task-encoding_run-5_bold,
gsr_x,-0.0057881763204932,sub-25_ses-2_task-encoding_run-6_bold,
gsr_x,-0.0060605169273912,sub-25_ses-2_task-encoding_run-7_bold,
gsr_x,-0.0070091811940073,sub-25_ses-2_task-encoding_run-8_bold,
gsr_x,-0.0061047212220728,sub-25_ses-2_task-rest_run-1_bold,
gsr_x,-0.0062033585272729,sub-25_ses-2_task-similarity_run-1_bold,
gsr_x,-0.0059738415293395,sub-25_ses-2_task-similarity_run-2_bold,
gsr_x,-0.0023659185972064,sub-26_ses-1_task-encoding_run-1_bold,
gsr_x,-0.0023187212646007,sub-26_ses-1_task-encoding_run-2_bold,
gsr_x,-0.003140504239127,sub-26_ses-1_task-encoding_run-3_bold,
gsr_x,-0.0038240761496126,sub-26_ses-1_task-encoding_run-4_bold,
gsr_x,-0.0041428045369684,sub-26_ses-1_task-encoding_run-5_bold,
gsr_x,-0.0037063080817461,sub-26_ses-1_task-encoding_run-6_bold,
gsr_x,-0.0047010225243866,sub-26_ses-1_task-encoding_run-7_bold,
gsr_x,-0.0052078934386372,sub-26_ses-1_task-encoding_run-8_bold,
gsr_x,0.0002081787679344,sub-26_ses-1_task-rest_run-1_bold,
gsr_x,-0.0056333867833018,sub-26_ses-1_task-rest_run-2_bold,
gsr_x,-0.0001334327389486,sub-26_ses-1_task-similarity_run-1_bold,
gsr_x,-0.000791706086602,sub-26_ses-1_task-similarity_run-2_bold,
gsr_x,-0.0046097412705421,sub-26_ses-2_task-encoding_run-1_bold,
gsr_x,-0.0047867661342024,sub-26_ses-2_task-encoding_run-2_bold,
gsr_x,-0.0047635128721594,sub-26_ses-2_task-encoding_run-3_bold,
gsr_x,-0.0046803443692624,sub-26_ses-2_task-encoding_run-4_bold,
gsr_x,-0.0049154493026435,sub-26_ses-2_task-encoding_run-5_bold,
gsr_x,-0.0053268065676093,sub-26_ses-2_task-encoding_run-6_bold,
gsr_x,-0.0053645260632038,sub-26_ses-2_task-encoding_run-7_bold,
gsr_x,-0.0056901657953858,sub-26_ses-2_task-encoding_run-8_bold,
gsr_x,-0.0061223511584103,sub-26_ses-2_task-rest_run-1_bold,
gsr_x,-0.0061873886734247,sub-26_ses-2_task-similarity_run-1_bold,
gsr_x,-0.0068259830586612,sub-26_ses-2_task-similarity_run-2_bold,
gsr_x,-0.0106921354308724,sub-27_ses-1_task-encoding_run-1_bold,
gsr_x,-0.0106860250234603,sub-27_ses-1_task-encoding_run-2_bold,
gsr_x,-0.0107394317165017,sub-27_ses-1_task-encoding_run-3_bold,
gsr_x,-0.0105269886553287,sub-27_ses-1_task-encoding_run-4_bold,
gsr_x,-0.0101592969149351,sub-27_ses-1_task-encoding_run-5_bold,
gsr_x,-0.0105698984116315,sub-27_ses-1_task-encoding_run-6_bold,
gsr_x,-0.0115522751584649,sub-27_ses-1_task-encoding_run-7_bold,
gsr_x,-0.0118963848799467,sub-27_ses-1_task-encoding_run-8_bold,
gsr_x,-0.0059068682603538,sub-27_ses-1_task-rest_run-1_bold,
gsr_x,-0.0114244204014539,sub-27_ses-1_task-rest_run-2_bold,
gsr_x,-0.0079666981473565,sub-27_ses-1_task-similarity_run-1_bold,
gsr_x,-0.0091261239722371,sub-27_ses-1_task-similarity_run-2_bold,
gsr_x,-0.005310212727636,sub-27_ses-2_task-encoding_run-1_bold,
gsr_x,-0.0070413216017186,sub-27_ses-2_task-encoding_run-2_bold,
gsr_x,-0.0081047434359788,sub-27_ses-2_task-encoding_run-3_bold,
gsr_x,-0.0082394359633326,sub-27_ses-2_task-encoding_run-4_bold,
gsr_x,-0.0088216261938214,sub-27_ses-2_task-encoding_run-5_bold,
gsr_x,-0.0094594834372401,sub-27_ses-2_task-encoding_run-6_bold,
gsr_x,-0.0098539451137185,sub-27_ses-2_task-encoding_run-7_bold,
gsr_x,-0.0097439456731081,sub-27_ses-2_task-encoding_run-8_bold,
gsr_x,-0.0089095532894134,sub-27_ses-2_task-rest_run-1_bold,
gsr_x,-0.0080646872520446,sub-27_ses-2_task-similarity_run-1_bold,
gsr_x,-0.0077686724252998,sub-27_ses-2_task-similarity_run-2_bold,
gsr_x,-0.0055788573808968,sub-28_ses-1_task-encoding_run-1_bold,
gsr_x,-0.006323886103928,sub-28_ses-1_task-encoding_run-2_bold,
gsr_x,-0.0068348189815878,sub-28_ses-1_task-encoding_run-3_bold,
gsr_x,-0.0067959679290652,sub-28_ses-1_task-encoding_run-4_bold,
gsr_x,-0.0065631153993308,sub-28_ses-1_task-encoding_run-5_bold,
gsr_x,-0.0069254860281944,sub-28_ses-1_task-encoding_run-6_bold,
gsr_x,-0.0071682203561067,sub-28_ses-1_task-encoding_run-7_bold,
gsr_x,-0.0072124963626265,sub-28_ses-1_task-encoding_run-8_bold,
gsr_x,-0.0047802687622606,sub-28_ses-1_task-rest_run-1_bold,
gsr_x,-0.008319872431457,sub-28_ses-1_task-rest_run-2_bold,
gsr_x,-0.0044147055596113,sub-28_ses-1_task-similarity_run-1_bold,
gsr_x,-0.0049603944644331,sub-28_ses-1_task-similarity_run-2_bold,
gsr_x,0.0027993996627628,sub-28_ses-2_task-encoding_run-1_bold,
gsr_x,0.0030389502644538,sub-28_ses-2_task-encoding_run-2_bold,
gsr_x,0.0026027816347777,sub-28_ses-2_task-encoding_run-3_bold,
gsr_x,0.0023734627757221,sub-28_ses-2_task-encoding_run-4_bold,
gsr_x,0.0020104395225644,sub-28_ses-2_task-encoding_run-5_bold,
gsr_x,0.0015182654606178,sub-28_ses-2_task-encoding_run-6_bold,
gsr_x,0.001462857122533,sub-28_ses-2_task-encoding_run-7_bold,
gsr_x,0.0011525931768119,sub-28_ses-2_task-encoding_run-8_bold,
gsr_x,0.0011750144185498,sub-28_ses-2_task-rest_run-1_bold,
gsr_x,0.000717396964319,sub-28_ses-2_task-similarity_run-1_bold,
gsr_x,-0.0003345962031744,sub-28_ses-2_task-similarity_run-2_bold,
gsr_y,0.0362736098468303,sub-01_ses-1_task-encoding_run-1_bold,
gsr_y,0.0373754128813743,sub-01_ses-1_task-encoding_run-2_bold,
gsr_y,0.0376855172216892,sub-01_ses-1_task-encoding_run-3_bold,
gsr_y,0.0386034958064556,sub-01_ses-1_task-encoding_run-4_bold,
gsr_y,0.0384421534836292,sub-01_ses-1_task-encoding_run-5_bold,
gsr_y,0.0392926074564456,sub-01_ses-1_task-encoding_run-6_bold,
gsr_y,0.0397605188190937,sub-01_ses-1_task-encoding_run-7_bold,
gsr_y,0.0409942418336868,sub-01_ses-1_task-encoding_run-8_bold,
gsr_y,0.0309374742209911,sub-01_ses-1_task-rest_run-1_bold,
gsr_y,0.0329814702272415,sub-01_ses-1_task-similarity_run-1_bold,
gsr_y,0.0357267223298549,sub-01_ses-1_task-similarity_run-2_bold,
gsr_y,0.0291817020624876,sub-01_ses-2_task-encoding_run-1_bold,
gsr_y,0.0311316754668951,sub-01_ses-2_task-encoding_run-2_bold,
gsr_y,0.0319880135357379,sub-01_ses-2_task-encoding_run-3_bold,
gsr_y,0.0318652354180812,sub-01_ses-2_task-encoding_run-4_bold,
gsr_y,0.0304585322737693,sub-01_ses-2_task-encoding_run-5_bold,
gsr_y,0.0315839909017086,sub-01_ses-2_task-encoding_run-6_bold,
gsr_y,0.0316514037549495,sub-01_ses-2_task-encoding_run-7_bold,
gsr_y,0.0327283293008804,sub-01_ses-2_task-encoding_run-8_bold,
gsr_y,0.0330612547695636,sub-01_ses-2_task-rest_run-1_bold,
gsr_y,0.0343031100928783,sub-01_ses-2_task-similarity_run-1_bold,
gsr_y,0.0351599901914596,sub-01_ses-2_task-similarity_run-2_bold,
gsr_y,0.0330371968448162,sub-02_ses-1_task-encoding_run-1_bold,
gsr_y,0.0337968207895755,sub-02_ses-1_task-encoding_run-2_bold,
gsr_y,0.0335728302597999,sub-02_ses-1_task-encoding_run-3_bold,
gsr_y,0.0343525968492031,sub-02_ses-1_task-encoding_run-4_bold,
gsr_y,0.0351003222167491,sub-02_ses-1_task-encoding_run-5_bold,
gsr_y,0.0356127098202705,sub-02_ses-1_task-encoding_run-6_bold,
gsr_y,0.0360028371214866,sub-02_ses-1_task-encoding_run-7_bold,
gsr_y,0.0372674353420734,sub-02_ses-1_task-encoding_run-8_bold,
gsr_y,0.0274523478001356,sub-02_ses-1_task-rest_run-1_bold,
gsr_y,0.0382430292665958,sub-02_ses-1_task-rest_run-2_bold,
gsr_y,0.0287894643843173,sub-02_ses-1_task-similarity_run-1_bold,
gsr_y,0.0307285394519567,sub-02_ses-1_task-similarity_run-2_bold,
gsr_y,0.0265023875981569,sub-02_ses-2_task-encoding_run-1_bold,
gsr_y,0.0270142666995525,sub-02_ses-2_task-encoding_run-2_bold,
gsr_y,0.0274398662149906,sub-02_ses-2_task-encoding_run-3_bold,
gsr_y,0.028714507818222,sub-02_ses-2_task-encoding_run-4_bold,
gsr_y,0.0297038368880748,sub-02_ses-2_task-encoding_run-5_bold,
gsr_y,0.0305070262402296,sub-02_ses-2_task-encoding_run-6_bold,
gsr_y,0.0312904678285121,sub-02_ses-2_task-encoding_run-7_bold,
gsr_y,0.0311866048723459,sub-02_ses-2_task-encoding_run-8_bold,
gsr_y,0.0322166569530963,sub-02_ses-2_task-rest_run-1_bold,
gsr_y,0.0249137748032808,sub-02_ses-2_task-similarity_run-1_bold,
gsr_y,0.0271382927894592,sub-02_ses-2_task-similarity_run-2_bold,
gsr_y,0.0330760776996612,sub-03_ses-1_task-encoding_run-1_bold,
gsr_y,0.0327291712164878,sub-03_ses-1_task-encoding_run-2_bold,
gsr_y,0.0338091254234313,sub-03_ses-1_task-encoding_run-3_bold,
gsr_y,0.0343784317374229,sub-03_ses-1_task-encoding_run-4_bold,
gsr_y,0.0352068394422531,sub-03_ses-1_task-encoding_run-5_bold,
gsr_y,0.0357455015182495,sub-03_ses-1_task-encoding_run-6_bold,
gsr_y,0.0353689789772033,sub-03_ses-1_task-encoding_run-7_bold,
gsr_y,0.0359036549925804,sub-03_ses-1_task-encoding_run-8_bold,
gsr_y,0.0292975474148988,sub-03_ses-1_task-rest_run-1_bold,
gsr_y,0.0366687327623367,sub-03_ses-1_task-rest_run-2_bold,
gsr_y,0.0296630803495645,sub-03_ses-1_task-similarity_run-1_bold,
gsr_y,0.0307593867182731,sub-03_ses-1_task-similarity_run-2_bold,
gsr_y,0.0409496128559112,sub-03_ses-2_task-encoding_run-1_bold,
gsr_y,0.0413458570837974,sub-03_ses-2_task-encoding_run-2_bold,
gsr_y,0.0428679995238781,sub-03_ses-2_task-encoding_run-3_bold,
gsr_y,0.0431888625025749,sub-03_ses-2_task-encoding_run-4_bold,
gsr_y,0.0439541116356849,sub-03_ses-2_task-encoding_run-5_bold,
gsr_y,0.0448085516691207,sub-03_ses-2_task-encoding_run-6_bold,
gsr_y,0.0456394031643867,sub-03_ses-2_task-encoding_run-7_bold,
gsr_y,0.0463101416826248,sub-03_ses-2_task-encoding_run-8_bold,
gsr_y,0.0467297919094562,sub-03_ses-2_task-rest_run-1_bold,
gsr_y,0.0469262413680553,sub-03_ses-2_task-similarity_run-1_bold,
gsr_y,0.0472559668123722,sub-03_ses-2_task-similarity_run-2_bold,
gsr_y,0.0392180681228637,sub-04_ses-1_task-encoding_run-1_bold,
gsr_y,0.039420448243618,sub-04_ses-1_task-encoding_run-2_bold,
gsr_y,0.0397283248603343,sub-04_ses-1_task-encoding_run-3_bold,
gsr_y,0.0389684326946735,sub-04_ses-1_task-encoding_run-4_bold,
gsr_y,0.0383856408298015,sub-04_ses-1_task-encoding_run-5_bold,
gsr_y,0.0380282364785671,sub-04_ses-1_task-encoding_run-6_bold,
gsr_y,0.0383166298270225,sub-04_ses-1_task-encoding_run-7_bold,
gsr_y,0.0382111482322216,sub-04_ses-1_task-encoding_run-8_bold,
gsr_y,0.0317134484648704,sub-04_ses-1_task-rest_run-1_bold,
gsr_y,0.0383024103939533,sub-04_ses-1_task-rest_run-2_bold,
gsr_y,0.0341155752539634,sub-04_ses-1_task-similarity_run-1_bold,
gsr_y,0.0380066595971584,sub-04_ses-1_task-similarity_run-2_bold,
gsr_y,0.0324108339846134,sub-04_ses-2_task-encoding_run-1_bold,
gsr_y,0.0328192748129367,sub-04_ses-2_task-encoding_run-2_bold,
gsr_y,0.0329766310751438,sub-04_ses-2_task-encoding_run-3_bold,
gsr_y,0.0344482809305191,sub-04_ses-2_task-encoding_run-4_bold,
gsr_y,0.0359636098146438,sub-04_ses-2_task-encoding_run-5_bold,
gsr_y,0.0377372875809669,sub-04_ses-2_task-encoding_run-6_bold,
gsr_y,0.0399650819599628,sub-04_ses-2_task-encoding_run-7_bold,
gsr_y,0.0417800061404705,sub-04_ses-2_task-encoding_run-8_bold,
gsr_y,0.0435825698077678,sub-04_ses-2_task-rest_run-1_bold,
gsr_y,0.0416271463036537,sub-04_ses-2_task-similarity_run-1_bold,
gsr_y,0.043475329875946,sub-04_ses-2_task-similarity_run-2_bold,
gsr_y,0.0413253717124462,sub-06_ses-1_task-encoding_run-1_bold,
gsr_y,0.0433577112853527,sub-06_ses-1_task-encoding_run-2_bold,
gsr_y,0.0451160557568073,sub-06_ses-1_task-encoding_run-3_bold,
gsr_y,0.0460796058177948,sub-06_ses-1_task-encoding_run-4_bold,
gsr_y,0.0481949709355831,sub-06_ses-1_task-encoding_run-5_bold,
gsr_y,0.0508428253233432,sub-06_ses-1_task-encoding_run-6_bold,
gsr_y,0.0518369600176811,sub-06_ses-1_task-encoding_run-7_bold,
gsr_y,0.0528966076672077,sub-06_ses-1_task-encoding_run-8_bold,
gsr_y,0.0367783978581428,sub-06_ses-1_task-rest_run-1_bold,
gsr_y,0.0526308976113796,sub-06_ses-1_task-rest_run-2_bold,
gsr_y,0.0386164188385009,sub-06_ses-1_task-similarity_run-1_bold,
gsr_y,0.0394266061484813,sub-06_ses-1_task-similarity_run-2_bold,
gsr_y,0.036164317280054,sub-06_ses-2_task-encoding_run-1_bold,
gsr_y,0.038039680570364,sub-06_ses-2_task-encoding_run-2_bold,
gsr_y,0.0394900478422641,sub-06_ses-2_task-encoding_run-3_bold,
gsr_y,0.041350319981575,sub-06_ses-2_task-encoding_run-4_bold,
gsr_y,0.0417438335716724,sub-06_ses-2_task-encoding_run-5_bold,
gsr_y,0.043007768690586,sub-06_ses-2_task-encoding_run-6_bold,
gsr_y,0.0451357029378414,sub-06_ses-2_task-encoding_run-7_bold,
gsr_y,0.0461262576282024,sub-06_ses-2_task-encoding_run-8_bold,
gsr_y,0.0468445867300033,sub-06_ses-2_task-rest_run-1_bold,
gsr_y,0.0479150004684925,sub-06_ses-2_task-similarity_run-1_bold,
gsr_y,0.0522846169769763,sub-06_ses-2_task-similarity_run-2_bold,
gsr_y,0.028303537517786,sub-08_ses-1_task-encoding_run-1_bold,
gsr_y,0.0289849918335676,sub-08_ses-1_task-encoding_run-2_bold,
gsr_y,0.0301255881786346,sub-08_ses-1_task-encoding_run-3_bold,
gsr_y,0.0299896895885467,sub-08_ses-1_task-encoding_run-4_bold,
gsr_y,0.0307651814073324,sub-08_ses-1_task-encoding_run-5_bold,
gsr_y,0.0323120281100273,sub-08_ses-1_task-encoding_run-6_bold,
gsr_y,0.0328436307609081,sub-08_ses-1_task-encoding_run-7_bold,
gsr_y,0.0337979868054389,sub-08_ses-1_task-encoding_run-8_bold,
gsr_y,0.0239156950265169,sub-08_ses-1_task-rest_run-1_bold,
gsr_y,0.034118928015232,sub-08_ses-1_task-rest_run-2_bold,
gsr_y,0.0258556101471185,sub-08_ses-1_task-similarity_run-1_bold,
gsr_y,0.0273440461605787,sub-08_ses-1_task-similarity_run-2_bold,
gsr_y,0.0239231567829847,sub-08_ses-2_task-encoding_run-1_bold,
gsr_y,0.025045895949006,sub-08_ses-2_task-encoding_run-2_bold,
gsr_y,0.0253151655197143,sub-08_ses-2_task-encoding_run-3_bold,
gsr_y,0.0263264048844575,sub-08_ses-2_task-encoding_run-4_bold,
gsr_y,0.0269154757261276,sub-08_ses-2_task-encoding_run-5_bold,
gsr_y,0.0274539999663829,sub-08_ses-2_task-encoding_run-6_bold,
gsr_y,0.0285412669181823,sub-08_ses-2_task-encoding_run-7_bold,
gsr_y,0.0290565118193626,sub-08_ses-2_task-encoding_run-8_bold,
gsr_y,0.0296193677932024,sub-08_ses-2_task-rest_run-1_bold,
gsr_y,0.029186438769102,sub-08_ses-2_task-similarity_run-1_bold,
gsr_y,0.0310933943837881,sub-08_ses-2_task-similarity_run-2_bold,
gsr_y,0.0272642411291599,sub-09_ses-1_task-encoding_run-1_bold,
gsr_y,0.0276940539479255,sub-09_ses-1_task-encoding_run-2_bold,
gsr_y,0.0287474654614925,sub-09_ses-1_task-encoding_run-3_bold,
gsr_y,0.0293419696390628,sub-09_ses-1_task-encoding_run-4_bold,
gsr_y,0.0291952304542064,sub-09_ses-1_task-encoding_run-5_bold,
gsr_y,0.0309530720114707,sub-09_ses-1_task-encoding_run-6_bold,
gsr_y,0.0314221978187561,sub-09_ses-1_task-encoding_run-7_bold,
gsr_y,0.0323191620409488,sub-09_ses-1_task-encoding_run-8_bold,
gsr_y,0.0228637140244245,sub-09_ses-1_task-rest_run-1_bold,
gsr_y,0.0327111184597015,sub-09_ses-1_task-rest_run-2_bold,
gsr_y,0.0231863427907228,sub-09_ses-1_task-similarity_run-1_bold,
gsr_y,0.0246660504490137,sub-09_ses-1_task-similarity_run-2_bold,
gsr_y,0.0234470460563898,sub-09_ses-2_task-encoding_run-1_bold,
gsr_y,0.0250053498893976,sub-09_ses-2_task-encoding_run-2_bold,
gsr_y,0.0253862533718347,sub-09_ses-2_task-encoding_run-3_bold,
gsr_y,0.0240903720259666,sub-09_ses-2_task-encoding_run-4_bold,
gsr_y,0.0242823045700788,sub-09_ses-2_task-encoding_run-5_bold,
gsr_y,0.024942884221673,sub-09_ses-2_task-encoding_run-6_bold,
gsr_y,0.0260166861116886,sub-09_ses-2_task-encoding_run-7_bold,
gsr_y,0.0266016162931919,sub-09_ses-2_task-encoding_run-8_bold,
gsr_y,0.0275594256818294,sub-09_ses-2_task-rest_run-1_bold,
gsr_y,0.0280674137175083,sub-09_ses-2_task-similarity_run-1_bold,
gsr_y,0.0293089468032121,sub-09_ses-2_task-similarity_run-2_bold,
gsr_y,0.0291869882494211,sub-10_ses-1_task-encoding_run-1_bold,
gsr_y,0.0295467562973499,sub-10_ses-1_task-encoding_run-2_bold,
gsr_y,0.0305593498051166,sub-10_ses-1_task-encoding_run-3_bold,
gsr_y,0.0314687453210353,sub-10_ses-1_task-encoding_run-4_bold,
gsr_y,0.0327717550098896,sub-10_ses-1_task-encoding_run-5_bold,
gsr_y,0.0332034640014171,sub-10_ses-1_task-encoding_run-6_bold,
gsr_y,0.0339195318520069,sub-10_ses-1_task-encoding_run-7_bold,
gsr_y,0.0346169397234916,sub-10_ses-1_task-encoding_run-8_bold,
gsr_y,0.0258287210017442,sub-10_ses-1_task-rest_run-1_bold,
gsr_y,0.0354459658265113,sub-10_ses-1_task-rest_run-2_bold,
gsr_y,0.026028012856841,sub-10_ses-1_task-similarity_run-1_bold,
gsr_y,0.0274487026035785,sub-10_ses-1_task-similarity_run-2_bold,
gsr_y,0.0243378113955259,sub-10_ses-2_task-encoding_run-1_bold,
gsr_y,0.0249835718423128,sub-10_ses-2_task-encoding_run-2_bold,
gsr_y,0.025519099086523,sub-10_ses-2_task-encoding_run-3_bold,
gsr_y,0.0255840048193931,sub-10_ses-2_task-encoding_run-4_bold,
gsr_y,0.0256053078919649,sub-10_ses-2_task-encoding_run-5_bold,
gsr_y,0.0267635006457567,sub-10_ses-2_task-encoding_run-6_bold,
gsr_y,0.0275088734924793,sub-10_ses-2_task-encoding_run-7_bold,
gsr_y,0.0287567358464002,sub-10_ses-2_task-encoding_run-8_bold,
gsr_y,0.0297927763313055,sub-10_ses-2_task-rest_run-1_bold,
gsr_y,0.031540784984827,sub-10_ses-2_task-similarity_run-1_bold,
gsr_y,0.0330490469932556,sub-10_ses-2_task-similarity_run-2_bold,
gsr_y,0.0330195501446723,sub-11_ses-1_task-encoding_run-1_bold,
gsr_y,0.0330255776643753,sub-11_ses-1_task-encoding_run-2_bold,
gsr_y,0.0335646905004978,sub-11_ses-1_task-encoding_run-3_bold,
gsr_y,0.0343965776264667,sub-11_ses-1_task-encoding_run-4_bold,
gsr_y,0.0347740054130554,sub-11_ses-1_task-encoding_run-5_bold,
gsr_y,0.0350181795656681,sub-11_ses-1_task-encoding_run-6_bold,
gsr_y,0.0352910421788692,sub-11_ses-1_task-encoding_run-7_bold,
gsr_y,0.0355418175458908,sub-11_ses-1_task-encoding_run-8_bold,
gsr_y,0.0310116223990917,sub-11_ses-1_task-rest_run-1_bold,
gsr_y,0.0356636345386505,sub-11_ses-1_task-rest_run-2_bold,
gsr_y,0.0315415523946285,sub-11_ses-1_task-similarity_run-1_bold,
gsr_y,0.0312541499733924,sub-11_ses-1_task-similarity_run-2_bold,
gsr_y,0.0329433754086494,sub-11_ses-2_task-encoding_run-1_bold,
gsr_y,0.0339769907295703,sub-11_ses-2_task-encoding_run-2_bold,
gsr_y,0.0338409952819347,sub-11_ses-2_task-encoding_run-3_bold,
gsr_y,0.0353489965200424,sub-11_ses-2_task-encoding_run-4_bold,
gsr_y,0.0344866141676902,sub-11_ses-2_task-encoding_run-5_bold,
gsr_y,0.0350426323711872,sub-11_ses-2_task-encoding_run-6_bold,
gsr_y,0.03542435541749,sub-11_ses-2_task-encoding_run-7_bold,
gsr_y,0.0362607389688491,sub-11_ses-2_task-encoding_run-8_bold,
gsr_y,0.0381276160478591,sub-11_ses-2_task-rest_run-1_bold,
gsr_y,0.0403283424675464,sub-11_ses-2_task-similarity_run-1_bold,
gsr_y,0.0413329042494297,sub-11_ses-2_task-similarity_run-2_bold,
gsr_y,0.0280151255428791,sub-13_ses-1_task-encoding_run-1_bold,
gsr_y,0.0274971071630716,sub-13_ses-1_task-encoding_run-2_bold,
gsr_y,0.0281090009957551,sub-13_ses-1_task-encoding_run-3_bold,
gsr_y,0.0278553422540426,sub-13_ses-1_task-encoding_run-4_bold,
gsr_y,0.0279303677380085,sub-13_ses-1_task-encoding_run-5_bold,
gsr_y,0.0281678512692451,sub-13_ses-1_task-encoding_run-6_bold,
gsr_y,0.0282387305051088,sub-13_ses-1_task-encoding_run-7_bold,
gsr_y,0.0285353101789951,sub-13_ses-1_task-encoding_run-8_bold,
gsr_y,0.0222055222839117,sub-13_ses-1_task-rest_run-1_bold,
gsr_y,0.0287242215126752,sub-13_ses-1_task-rest_run-2_bold,
gsr_y,0.022426750510931,sub-13_ses-1_task-similarity_run-1_bold,
gsr_y,0.0253947060555219,sub-13_ses-1_task-similarity_run-2_bold,
gsr_y,0.020907275378704,sub-13_ses-2_task-encoding_run-1_bold,
gsr_y,0.0211568605154752,sub-13_ses-2_task-encoding_run-2_bold,
gsr_y,0.0221814718097448,sub-13_ses-2_task-encoding_run-3_bold,
gsr_y,0.0227209404110908,sub-13_ses-2_task-encoding_run-4_bold,
gsr_y,0.0241143126040697,sub-13_ses-2_task-encoding_run-5_bold,
gsr_y,0.0247791837900877,sub-13_ses-2_task-encoding_run-6_bold,
gsr_y,0.0256585087627172,sub-13_ses-2_task-encoding_run-7_bold,
gsr_y,0.0270168930292129,sub-13_ses-2_task-encoding_run-8_bold,
gsr_y,0.0277443155646324,sub-13_ses-2_task-rest_run-1_bold,
gsr_y,0.0294672027230262,sub-13_ses-2_task-similarity_run-1_bold,
gsr_y,0.03030820004642,sub-13_ses-2_task-similarity_run-2_bold,
gsr_y,0.0288293231278657,sub-14_ses-1_task-encoding_run-1_bold,
gsr_y,0.0297092869877815,sub-14_ses-1_task-encoding_run-2_bold,
gsr_y,0.029004642739892,sub-14_ses-1_task-encoding_run-3_bold,
gsr_y,0.0293719619512558,sub-14_ses-1_task-encoding_run-4_bold,
gsr_y,0.0294977743178606,sub-14_ses-1_task-encoding_run-5_bold,
gsr_y,0.0291463453322649,sub-14_ses-1_task-encoding_run-6_bold,
gsr_y,0.0291631426662206,sub-14_ses-1_task-encoding_run-7_bold,
gsr_y,0.0292396806180477,sub-14_ses-1_task-encoding_run-8_bold,
gsr_y,0.026415754109621,sub-14_ses-1_task-rest_run-1_bold,
gsr_y,0.0289169903844594,sub-14_ses-1_task-rest_run-2_bold,
gsr_y,0.0265022590756416,sub-14_ses-1_task-similarity_run-1_bold,
gsr_y,0.0278476793318986,sub-14_ses-1_task-similarity_run-2_bold,
gsr_y,0.0293634124100208,sub-14_ses-2_task-encoding_run-1_bold,
gsr_y,0.0297448374330997,sub-14_ses-2_task-encoding_run-2_bold,
gsr_y,0.0300314016640186,sub-14_ses-2_task-encoding_run-3_bold,
gsr_y,0.0304758101701736,sub-14_ses-2_task-encoding_run-4_bold,
gsr_y,0.0316430181264877,sub-14_ses-2_task-encoding_run-5_bold,
gsr_y,0.0323589891195297,sub-14_ses-2_task-encoding_run-6_bold,
gsr_y,0.0321749038994312,sub-14_ses-2_task-encoding_run-7_bold,
gsr_y,0.0317452847957611,sub-14_ses-2_task-encoding_run-8_bold,
gsr_y,0.0318244844675064,sub-14_ses-2_task-rest_run-1_bold,
gsr_y,0.0318276435136795,sub-14_ses-2_task-similarity_run-1_bold,
gsr_y,0.0321698673069477,sub-14_ses-2_task-similarity_run-2_bold,
gsr_y,0.0248180143535137,sub-16_ses-1_task-encoding_run-1_bold,
gsr_y,0.0257956311106681,sub-16_ses-1_task-encoding_run-2_bold,
gsr_y,0.0268594063818454,sub-16_ses-1_task-encoding_run-3_bold,
gsr_y,0.0272063259035348,sub-16_ses-1_task-encoding_run-4_bold,
gsr_y,0.0279182847589254,sub-16_ses-1_task-encoding_run-5_bold,
gsr_y,0.0288181453943252,sub-16_ses-1_task-encoding_run-6_bold,
gsr_y,0.0295288395136594,sub-16_ses-1_task-encoding_run-7_bold,
gsr_y,0.030523020774126,sub-16_ses-1_task-encoding_run-8_bold,
gsr_y,0.0215127449482679,sub-16_ses-1_task-rest_run-1_bold,
gsr_y,0.0313800126314163,sub-16_ses-1_task-rest_run-2_bold,
gsr_y,0.022610442712903,sub-16_ses-1_task-similarity_run-1_bold,
gsr_y,0.0239382274448871,sub-16_ses-1_task-similarity_run-2_bold,
gsr_y,0.0172328539192676,sub-16_ses-2_task-encoding_run-1_bold,
gsr_y,0.0181314442306756,sub-16_ses-2_task-encoding_run-2_bold,
gsr_y,0.0185943339020013,sub-16_ses-2_task-encoding_run-3_bold,
gsr_y,0.0189007371664047,sub-16_ses-2_task-encoding_run-4_bold,
gsr_y,0.0194110181182622,sub-16_ses-2_task-encoding_run-5_bold,
gsr_y,0.0200874451547861,sub-16_ses-2_task-encoding_run-6_bold,
gsr_y,0.0207905489951372,sub-16_ses-2_task-encoding_run-7_bold,
gsr_y,0.0212447810918092,sub-16_ses-2_task-encoding_run-8_bold,
gsr_y,0.0228212866932153,sub-16_ses-2_task-rest_run-1_bold,
gsr_y,0.0239220038056373,sub-16_ses-2_task-similarity_run-1_bold,
gsr_y,0.0245105903595685,sub-16_ses-2_task-similarity_run-2_bold,
gsr_y,0.0251136384904384,sub-17_ses-1_task-encoding_run-1_bold,
gsr_y,0.0269871372729539,sub-17_ses-1_task-encoding_run-2_bold,
gsr_y,0.0277271848171949,sub-17_ses-1_task-encoding_run-3_bold,
gsr_y,0.0283617470413446,sub-17_ses-1_task-encoding_run-4_bold,
gsr_y,0.0293440874665975,sub-17_ses-1_task-encoding_run-5_bold,
gsr_y,0.0300896260887384,sub-17_ses-1_task-encoding_run-6_bold,
gsr_y,0.0313311703503131,sub-17_ses-1_task-encoding_run-7_bold,
gsr_y,0.0320169106125831,sub-17_ses-1_task-encoding_run-8_bold,
gsr_y,0.0229292698204517,sub-17_ses-1_task-rest_run-1_bold,
gsr_y,0.0323915667831897,sub-17_ses-1_task-rest_run-2_bold,
gsr_y,0.0230816323310136,sub-17_ses-1_task-similarity_run-1_bold,
gsr_y,0.0235340017825365,sub-17_ses-1_task-similarity_run-2_bold,
gsr_y,0.0209566298872232,sub-17_ses-2_task-encoding_run-1_bold,
gsr_y,0.0216836128383874,sub-17_ses-2_task-encoding_run-2_bold,
gsr_y,0.0221551731228828,sub-17_ses-2_task-encoding_run-3_bold,
gsr_y,0.0220754239708185,sub-17_ses-2_task-encoding_run-4_bold,
gsr_y,0.0224382411688566,sub-17_ses-2_task-encoding_run-5_bold,
gsr_y,0.0219818707555532,sub-17_ses-2_task-encoding_run-6_bold,
gsr_y,0.0221050232648849,sub-17_ses-2_task-encoding_run-7_bold,
gsr_y,0.0232603680342435,sub-17_ses-2_task-encoding_run-8_bold,
gsr_y,0.0242036841809749,sub-17_ses-2_task-rest_run-1_bold,
gsr_y,0.0248535778373479,sub-17_ses-2_task-similarity_run-1_bold,
gsr_y,0.0262698512524366,sub-17_ses-2_task-similarity_run-2_bold,
gsr_y,0.0227991379797458,sub-18_ses-1_task-encoding_run-1_bold,
gsr_y,0.0221076253801584,sub-18_ses-1_task-encoding_run-2_bold,
gsr_y,0.023320447653532,sub-18_ses-1_task-encoding_run-3_bold,
gsr_y,0.0243792925029993,sub-18_ses-1_task-encoding_run-4_bold,
gsr_y,0.0250886548310518,sub-18_ses-1_task-encoding_run-5_bold,
gsr_y,0.0262400936335325,sub-18_ses-1_task-encoding_run-6_bold,
gsr_y,0.0268238056451082,sub-18_ses-1_task-encoding_run-7_bold,
gsr_y,0.0281397178769111,sub-18_ses-1_task-encoding_run-8_bold,
gsr_y,0.0184651259332895,sub-18_ses-1_task-rest_run-1_bold,
gsr_y,0.0293706767261028,sub-18_ses-1_task-rest_run-2_bold,
gsr_y,0.019412538036704,sub-18_ses-1_task-similarity_run-1_bold,
gsr_y,0.0219916272908449,sub-18_ses-1_task-similarity_run-2_bold,
gsr_y,0.0170201230794191,sub-18_ses-2_task-encoding_run-1_bold,
gsr_y,0.0182389188557863,sub-18_ses-2_task-encoding_run-2_bold,
gsr_y,0.018822344020009,sub-18_ses-2_task-encoding_run-3_bold,
gsr_y,0.0196995511651039,sub-18_ses-2_task-encoding_run-4_bold,
gsr_y,0.0207900740206241,sub-18_ses-2_task-encoding_run-5_bold,
gsr_y,0.0213275589048862,sub-18_ses-2_task-encoding_run-6_bold,
gsr_y,0.022185992449522,sub-18_ses-2_task-encoding_run-7_bold,
gsr_y,0.0232064984738826,sub-18_ses-2_task-encoding_run-8_bold,
gsr_y,0.0238827019929885,sub-18_ses-2_task-rest_run-1_bold,
gsr_y,0.0242699831724166,sub-18_ses-2_task-similarity_run-1_bold,
gsr_y,0.0260923448950052,sub-18_ses-2_task-similarity_run-2_bold,
gsr_y,0.034588485956192,sub-19_ses-1_task-encoding_run-1_bold,
gsr_y,0.0353500172495842,sub-19_ses-1_task-encoding_run-2_bold,
gsr_y,0.03574064001441,sub-19_ses-1_task-encoding_run-3_bold,
gsr_y,0.0360050871968269,sub-19_ses-1_task-encoding_run-4_bold,
gsr_y,0.0366004928946495,sub-19_ses-1_task-encoding_run-5_bold,
gsr_y,0.0366453528404235,sub-19_ses-1_task-encoding_run-6_bold,
gsr_y,0.036989502608776,sub-19_ses-1_task-encoding_run-7_bold,
gsr_y,0.0373325906693935,sub-19_ses-1_task-encoding_run-8_bold,
gsr_y,0.0315295867621898,sub-19_ses-1_task-rest_run-1_bold,
gsr_y,0.037600815296173,sub-19_ses-1_task-rest_run-2_bold,
gsr_y,0.0326080173254013,sub-19_ses-1_task-similarity_run-1_bold,
gsr_y,0.0335627980530262,sub-19_ses-1_task-similarity_run-2_bold,
gsr_y,0.0337854661047458,sub-19_ses-2_task-encoding_run-1_bold,
gsr_y,0.0341539941728115,sub-19_ses-2_task-encoding_run-2_bold,
gsr_y,0.0344289354979991,sub-19_ses-2_task-encoding_run-3_bold,
gsr_y,0.034699723124504,sub-19_ses-2_task-encoding_run-4_bold,
gsr_y,0.0355674922466278,sub-19_ses-2_task-encoding_run-5_bold,
gsr_y,0.0360058583319187,sub-19_ses-2_task-encoding_run-6_bold,
gsr_y,0.0365841910243034,sub-19_ses-2_task-encoding_run-7_bold,
gsr_y,0.0371094830334186,sub-19_ses-2_task-encoding_run-8_bold,
gsr_y,0.0370690375566482,sub-19_ses-2_task-rest_run-1_bold,
gsr_y,0.0377019047737121,sub-19_ses-2_task-similarity_run-1_bold,
gsr_y,0.0400360263884067,sub-19_ses-2_task-similarity_run-2_bold,
gsr_y,0.0235463697463274,sub-20_ses-1_task-encoding_run-1_bold,
gsr_y,0.024301566183567,sub-20_ses-1_task-encoding_run-2_bold,
gsr_y,0.0250670351088047,sub-20_ses-1_task-encoding_run-3_bold,
gsr_y,0.0257712956517934,sub-20_ses-1_task-encoding_run-4_bold,
gsr_y,0.026416465640068,sub-20_ses-1_task-encoding_run-5_bold,
gsr_y,0.0270899347960948,sub-20_ses-1_task-encoding_run-6_bold,
gsr_y,0.027210384607315,sub-20_ses-1_task-encoding_run-7_bold,
gsr_y,0.0275407154113054,sub-20_ses-1_task-encoding_run-8_bold,
gsr_y,0.0199304819107055,sub-20_ses-1_task-rest_run-1_bold,
gsr_y,0.0281991567462682,sub-20_ses-1_task-rest_run-2_bold,
gsr_y,0.0211574006825685,sub-20_ses-1_task-similarity_run-1_bold,
gsr_y,0.0222973506897687,sub-20_ses-1_task-similarity_run-2_bold,
gsr_y,0.0245313849300146,sub-20_ses-2_task-encoding_run-1_bold,
gsr_y,0.0255284719169139,sub-20_ses-2_task-encoding_run-2_bold,
gsr_y,0.025449950248003,sub-20_ses-2_task-encoding_run-3_bold,
gsr_y,0.0260701440274715,sub-20_ses-2_task-encoding_run-4_bold,
gsr_y,0.0268236845731735,sub-20_ses-2_task-encoding_run-5_bold,
gsr_y,0.027513887733221,sub-20_ses-2_task-encoding_run-6_bold,
gsr_y,0.0279929246753454,sub-20_ses-2_task-encoding_run-7_bold,
gsr_y,0.0282417796552181,sub-20_ses-2_task-encoding_run-8_bold,
gsr_y,0.0291326511651277,sub-20_ses-2_task-rest_run-1_bold,
gsr_y,0.028704335913062,sub-20_ses-2_task-similarity_run-1_bold,
gsr_y,0.0314685963094234,sub-20_ses-2_task-similarity_run-2_bold,
gsr_y,0.0314533412456512,sub-25_ses-1_task-encoding_run-1_bold,
gsr_y,0.0321254208683967,sub-25_ses-1_task-encoding_run-2_bold,
gsr_y,0.0330703780055046,sub-25_ses-1_task-encoding_run-3_bold,
gsr_y,0.0331967175006866,sub-25_ses-1_task-encoding_run-4_bold,
gsr_y,0.033786229789257,sub-25_ses-1_task-encoding_run-5_bold,
gsr_y,0.0347608290612697,sub-25_ses-1_task-encoding_run-6_bold,
gsr_y,0.0351313762366771,sub-25_ses-1_task-encoding_run-7_bold,
gsr_y,0.0354614667594432,sub-25_ses-1_task-encoding_run-8_bold,
gsr_y,0.0295072924345731,sub-25_ses-1_task-rest_run-1_bold,
gsr_y,0.0347736664116382,sub-25_ses-1_task-rest_run-2_bold,
gsr_y,0.0308147221803665,sub-25_ses-1_task-similarity_run-1_bold,
gsr_y,0.0303231552243232,sub-25_ses-1_task-similarity_run-2_bold,
gsr_y,0.0316701978445053,sub-25_ses-2_task-encoding_run-1_bold,
gsr_y,0.0333665907382965,sub-25_ses-2_task-encoding_run-2_bold,
gsr_y,0.0337186008691787,sub-25_ses-2_task-encoding_run-3_bold,
gsr_y,0.0346274375915527,sub-25_ses-2_task-encoding_run-4_bold,
gsr_y,0.0356068797409534,sub-25_ses-2_task-encoding_run-5_bold,
gsr_y,0.0359753482043743,sub-25_ses-2_task-encoding_run-6_bold,
gsr_y,0.036348033696413,sub-25_ses-2_task-encoding_run-7_bold,
gsr_y,0.0374306999146938,sub-25_ses-2_task-encoding_run-8_bold,
gsr_y,0.0374470874667167,sub-25_ses-2_task-rest_run-1_bold,
gsr_y,0.0363568477332592,sub-25_ses-2_task-similarity_run-1_bold,
gsr_y,0.0370501056313514,sub-25_ses-2_task-similarity_run-2_bold,
gsr_y,0.0248678848147392,sub-26_ses-1_task-encoding_run-1_bold,
gsr_y,0.0254043787717819,sub-26_ses-1_task-encoding_run-2_bold,
gsr_y,0.0261536762118339,sub-26_ses-1_task-encoding_run-3_bold,
gsr_y,0.0272604078054428,sub-26_ses-1_task-encoding_run-4_bold,
gsr_y,0.0275700166821479,sub-26_ses-1_task-encoding_run-5_bold,
gsr_y,0.0276743434369564,sub-26_ses-1_task-encoding_run-6_bold,
gsr_y,0.0288273934274911,sub-26_ses-1_task-encoding_run-7_bold,
gsr_y,0.0295225474983453,sub-26_ses-1_task-encoding_run-8_bold,
gsr_y,0.0215977299958467,sub-26_ses-1_task-rest_run-1_bold,
gsr_y,0.0298285987228155,sub-26_ses-1_task-rest_run-2_bold,
gsr_y,0.0227750912308692,sub-26_ses-1_task-similarity_run-1_bold,
gsr_y,0.0239458251744508,sub-26_ses-1_task-similarity_run-2_bold,
gsr_y,0.019903814420104,sub-26_ses-2_task-encoding_run-1_bold,
gsr_y,0.0203928779810667,sub-26_ses-2_task-encoding_run-2_bold,
gsr_y,0.0209146756678819,sub-26_ses-2_task-encoding_run-3_bold,
gsr_y,0.0218826085329055,sub-26_ses-2_task-encoding_run-4_bold,
gsr_y,0.0222356375306844,sub-26_ses-2_task-encoding_run-5_bold,
gsr_y,0.0232275258749723,sub-26_ses-2_task-encoding_run-6_bold,
gsr_y,0.0234868731349706,sub-26_ses-2_task-encoding_run-7_bold,
gsr_y,0.0239299423992633,sub-26_ses-2_task-encoding_run-8_bold,
gsr_y,0.0244906935840845,sub-26_ses-2_task-rest_run-1_bold,
gsr_y,0.0245171282440423,sub-26_ses-2_task-similarity_run-1_bold,
gsr_y,0.0260654836893081,sub-26_ses-2_task-similarity_run-2_bold,
gsr_y,0.0393099747598171,sub-27_ses-1_task-encoding_run-1_bold,
gsr_y,0.0395618490874767,sub-27_ses-1_task-encoding_run-2_bold,
gsr_y,0.0399633459746837,sub-27_ses-1_task-encoding_run-3_bold,
gsr_y,0.0397308766841888,sub-27_ses-1_task-encoding_run-4_bold,
gsr_y,0.0404212400317192,sub-27_ses-1_task-encoding_run-5_bold,
gsr_y,0.0413034670054912,sub-27_ses-1_task-encoding_run-6_bold,
gsr_y,0.0418516583740711,sub-27_ses-1_task-encoding_run-7_bold,
gsr_y,0.0422397442162036,sub-27_ses-1_task-encoding_run-8_bold,
gsr_y,0.0351443849503994,sub-27_ses-1_task-rest_run-1_bold,
gsr_y,0.0416094772517681,sub-27_ses-1_task-rest_run-2_bold,
gsr_y,0.0375348404049873,sub-27_ses-1_task-similarity_run-1_bold,
gsr_y,0.0394044890999794,sub-27_ses-1_task-similarity_run-2_bold,
gsr_y,0.0339832231402397,sub-27_ses-2_task-encoding_run-1_bold,
gsr_y,0.0363138020038604,sub-27_ses-2_task-encoding_run-2_bold,
gsr_y,0.03743227571249,sub-27_ses-2_task-encoding_run-3_bold,
gsr_y,0.0373119302093982,sub-27_ses-2_task-encoding_run-4_bold,
gsr_y,0.038064356893301,sub-27_ses-2_task-encoding_run-5_bold,
gsr_y,0.0390015542507171,sub-27_ses-2_task-encoding_run-6_bold,
gsr_y,0.0392958559095859,sub-27_ses-2_task-encoding_run-7_bold,
gsr_y,0.0391482003033161,sub-27_ses-2_task-encoding_run-8_bold,
gsr_y,0.0391427613794803,sub-27_ses-2_task-rest_run-1_bold,
gsr_y,0.0384118109941482,sub-27_ses-2_task-similarity_run-1_bold,
gsr_y,0.0378617160022258,sub-27_ses-2_task-similarity_run-2_bold,
gsr_y,0.0198010317981243,sub-28_ses-1_task-encoding_run-1_bold,
gsr_y,0.0204927381128072,sub-28_ses-1_task-encoding_run-2_bold,
gsr_y,0.0206574127078056,sub-28_ses-1_task-encoding_run-3_bold,
gsr_y,0.0209399461746215,sub-28_ses-1_task-encoding_run-4_bold,
gsr_y,0.0206460189074277,sub-28_ses-1_task-encoding_run-5_bold,
gsr_y,0.0212023109197616,sub-28_ses-1_task-encoding_run-6_bold,
gsr_y,0.0213619042187929,sub-28_ses-1_task-encoding_run-7_bold,
gsr_y,0.0219881553202867,sub-28_ses-1_task-encoding_run-8_bold,
gsr_y,0.0181472953408956,sub-28_ses-1_task-rest_run-1_bold,
gsr_y,0.0221883356571197,sub-28_ses-1_task-rest_run-2_bold,
gsr_y,0.0183437149971723,sub-28_ses-1_task-similarity_run-1_bold,
gsr_y,0.0193281322717666,sub-28_ses-1_task-similarity_run-2_bold,
gsr_y,0.0120696350932121,sub-28_ses-2_task-encoding_run-1_bold,
gsr_y,0.0126954149454832,sub-28_ses-2_task-encoding_run-2_bold,
gsr_y,0.0133215878158807,sub-28_ses-2_task-encoding_run-3_bold,
gsr_y,0.0140231996774673,sub-28_ses-2_task-encoding_run-4_bold,
gsr_y,0.014707806520164,sub-28_ses-2_task-encoding_run-5_bold,
gsr_y,0.0154498340561985,sub-28_ses-2_task-encoding_run-6_bold,
gsr_y,0.0160199832171201,sub-28_ses-2_task-encoding_run-7_bold,
gsr_y,0.0166023150086402,sub-28_ses-2_task-encoding_run-8_bold,
gsr_y,0.0170488767325878,sub-28_ses-2_task-rest_run-1_bold,
gsr_y,0.0170365646481513,sub-28_ses-2_task-similarity_run-1_bold,
gsr_y,0.0184910297393798,sub-28_ses-2_task-similarity_run-2_bold,
</pre>
<div class="chart-wrapper" id="chart-group4"></div>
<pre class="csvdata" id="data-csv4" style="display: none">
iqm,value,label,units
snr,3.720835411452244,sub-01_ses-1_task-encoding_run-1_bold,
snr,3.823261522689933,sub-01_ses-1_task-encoding_run-2_bold,
snr,3.815693688619119,sub-01_ses-1_task-encoding_run-3_bold,
snr,3.843671608847376,sub-01_ses-1_task-encoding_run-4_bold,
snr,3.877402380251513,sub-01_ses-1_task-encoding_run-5_bold,
snr,3.828146546359711,sub-01_ses-1_task-encoding_run-6_bold,
snr,3.7943526066975086,sub-01_ses-1_task-encoding_run-7_bold,
snr,3.8216375791667856,sub-01_ses-1_task-encoding_run-8_bold,
snr,3.8692754864636902,sub-01_ses-1_task-rest_run-1_bold,
snr,3.877401941371508,sub-01_ses-1_task-similarity_run-1_bold,
snr,3.9048445232680864,sub-01_ses-1_task-similarity_run-2_bold,
snr,3.5430893549220133,sub-01_ses-2_task-encoding_run-1_bold,
snr,3.615920091358898,sub-01_ses-2_task-encoding_run-2_bold,
snr,3.627331121083589,sub-01_ses-2_task-encoding_run-3_bold,
snr,3.620292398770329,sub-01_ses-2_task-encoding_run-4_bold,
snr,3.7101802636473855,sub-01_ses-2_task-encoding_run-5_bold,
snr,3.5687420601142983,sub-01_ses-2_task-encoding_run-6_bold,
snr,3.655405953141936,sub-01_ses-2_task-encoding_run-7_bold,
snr,3.650330250437341,sub-01_ses-2_task-encoding_run-8_bold,
snr,3.645607286639863,sub-01_ses-2_task-rest_run-1_bold,
snr,3.666575316867158,sub-01_ses-2_task-similarity_run-1_bold,
snr,3.6944912551496825,sub-01_ses-2_task-similarity_run-2_bold,
snr,3.527301596294002,sub-02_ses-1_task-encoding_run-1_bold,
snr,3.578238893528005,sub-02_ses-1_task-encoding_run-2_bold,
snr,3.514285722542427,sub-02_ses-1_task-encoding_run-3_bold,
snr,3.4983032833508374,sub-02_ses-1_task-encoding_run-4_bold,
snr,3.548370512390747,sub-02_ses-1_task-encoding_run-5_bold,
snr,3.5733980750160206,sub-02_ses-1_task-encoding_run-6_bold,
snr,3.624006949248902,sub-02_ses-1_task-encoding_run-7_bold,
snr,3.556543505667551,sub-02_ses-1_task-encoding_run-8_bold,
snr,3.5516999995738128,sub-02_ses-1_task-rest_run-1_bold,
snr,3.575877497307089,sub-02_ses-1_task-rest_run-2_bold,
snr,3.533411771161757,sub-02_ses-1_task-similarity_run-1_bold,
snr,3.5831232879371826,sub-02_ses-1_task-similarity_run-2_bold,
snr,3.3689137874643924,sub-02_ses-2_task-encoding_run-1_bold,
snr,3.349475105479806,sub-02_ses-2_task-encoding_run-2_bold,
snr,3.3134459356209693,sub-02_ses-2_task-encoding_run-3_bold,
snr,3.306480512380812,sub-02_ses-2_task-encoding_run-4_bold,
snr,3.2730805014415973,sub-02_ses-2_task-encoding_run-5_bold,
snr,3.283115094559553,sub-02_ses-2_task-encoding_run-6_bold,
snr,3.3064284382239792,sub-02_ses-2_task-encoding_run-7_bold,
snr,3.3451403229337897,sub-02_ses-2_task-encoding_run-8_bold,
snr,3.3322416349779544,sub-02_ses-2_task-rest_run-1_bold,
snr,3.1585526864918827,sub-02_ses-2_task-similarity_run-1_bold,
snr,3.135628246517289,sub-02_ses-2_task-similarity_run-2_bold,
snr,3.5887779054873423,sub-03_ses-1_task-encoding_run-1_bold,
snr,3.619520470138817,sub-03_ses-1_task-encoding_run-2_bold,
snr,3.6340568006372154,sub-03_ses-1_task-encoding_run-3_bold,
snr,3.561785309466171,sub-03_ses-1_task-encoding_run-4_bold,
snr,3.563821505380186,sub-03_ses-1_task-encoding_run-5_bold,
snr,3.594468278227108,sub-03_ses-1_task-encoding_run-6_bold,
snr,3.577686152518683,sub-03_ses-1_task-encoding_run-7_bold,
snr,3.536930881875122,sub-03_ses-1_task-encoding_run-8_bold,
snr,3.6241965428180793,sub-03_ses-1_task-rest_run-1_bold,
snr,3.654367008024208,sub-03_ses-1_task-rest_run-2_bold,
snr,3.616600752157291,sub-03_ses-1_task-similarity_run-1_bold,
snr,3.5603730599864063,sub-03_ses-1_task-similarity_run-2_bold,
snr,3.5286132985671896,sub-03_ses-2_task-encoding_run-1_bold,
snr,3.4610808636107264,sub-03_ses-2_task-encoding_run-2_bold,
snr,3.3944319542805124,sub-03_ses-2_task-encoding_run-3_bold,
snr,3.4273531039050127,sub-03_ses-2_task-encoding_run-4_bold,
snr,3.5134748785763668,sub-03_ses-2_task-encoding_run-5_bold,
snr,3.469681824019591,sub-03_ses-2_task-encoding_run-6_bold,
snr,3.4858956931547693,sub-03_ses-2_task-encoding_run-7_bold,
snr,3.470690783664877,sub-03_ses-2_task-encoding_run-8_bold,
snr,3.4198450698985137,sub-03_ses-2_task-rest_run-1_bold,
snr,3.3775749162924447,sub-03_ses-2_task-similarity_run-1_bold,
snr,3.4219007811581115,sub-03_ses-2_task-similarity_run-2_bold,
snr,3.4587489864211296,sub-04_ses-1_task-encoding_run-1_bold,
snr,3.433090548202186,sub-04_ses-1_task-encoding_run-2_bold,
snr,3.4445513460998387,sub-04_ses-1_task-encoding_run-3_bold,
snr,3.46785964314192,sub-04_ses-1_task-encoding_run-4_bold,
snr,3.423567645384841,sub-04_ses-1_task-encoding_run-5_bold,
snr,3.391905777539278,sub-04_ses-1_task-encoding_run-6_bold,
snr,3.4088721855713584,sub-04_ses-1_task-encoding_run-7_bold,
snr,3.375828240198252,sub-04_ses-1_task-encoding_run-8_bold,
snr,3.516007482190865,sub-04_ses-1_task-rest_run-1_bold,
snr,3.373411133678368,sub-04_ses-1_task-rest_run-2_bold,
snr,3.4916839121979093,sub-04_ses-1_task-similarity_run-1_bold,
snr,3.408497304693323,sub-04_ses-1_task-similarity_run-2_bold,
snr,3.337748087879965,sub-04_ses-2_task-encoding_run-1_bold,
snr,3.289650379304849,sub-04_ses-2_task-encoding_run-2_bold,
snr,3.3257500313848216,sub-04_ses-2_task-encoding_run-3_bold,
snr,3.332565162403166,sub-04_ses-2_task-encoding_run-4_bold,
snr,3.3372505180353507,sub-04_ses-2_task-encoding_run-5_bold,
snr,3.304843540443452,sub-04_ses-2_task-encoding_run-6_bold,
snr,3.3573354553821497,sub-04_ses-2_task-encoding_run-7_bold,
snr,3.3386071978090213,sub-04_ses-2_task-encoding_run-8_bold,
snr,3.301384586381197,sub-04_ses-2_task-rest_run-1_bold,
snr,3.333969316887848,sub-04_ses-2_task-similarity_run-1_bold,
snr,3.3704902688384144,sub-04_ses-2_task-similarity_run-2_bold,
snr,3.258031127544606,sub-06_ses-1_task-encoding_run-1_bold,
snr,3.2098405798545016,sub-06_ses-1_task-encoding_run-2_bold,
snr,3.2511509366587297,sub-06_ses-1_task-encoding_run-3_bold,
snr,3.270386090363894,sub-06_ses-1_task-encoding_run-4_bold,
snr,3.2953385105998,sub-06_ses-1_task-encoding_run-5_bold,
snr,3.2178920334319767,sub-06_ses-1_task-encoding_run-6_bold,
snr,3.200189369053809,sub-06_ses-1_task-encoding_run-7_bold,
snr,3.2720930373740478,sub-06_ses-1_task-encoding_run-8_bold,
snr,3.2551261744814,sub-06_ses-1_task-rest_run-1_bold,
snr,3.2840409999427576,sub-06_ses-1_task-rest_run-2_bold,
snr,3.359852877551403,sub-06_ses-1_task-similarity_run-1_bold,
snr,3.270967356045406,sub-06_ses-1_task-similarity_run-2_bold,
snr,3.175112762653269,sub-06_ses-2_task-encoding_run-1_bold,
snr,3.1984705670371447,sub-06_ses-2_task-encoding_run-2_bold,
snr,3.173683161734168,sub-06_ses-2_task-encoding_run-3_bold,
snr,3.205145005311932,sub-06_ses-2_task-encoding_run-4_bold,
snr,3.185698227181613,sub-06_ses-2_task-encoding_run-5_bold,
snr,3.196065011813793,sub-06_ses-2_task-encoding_run-6_bold,
snr,3.1912434359585147,sub-06_ses-2_task-encoding_run-7_bold,
snr,3.213736558120019,sub-06_ses-2_task-encoding_run-8_bold,
snr,3.207954306611471,sub-06_ses-2_task-rest_run-1_bold,
snr,3.19376986205372,sub-06_ses-2_task-similarity_run-1_bold,
snr,3.321316301323938,sub-06_ses-2_task-similarity_run-2_bold,
snr,3.216196488795711,sub-08_ses-1_task-encoding_run-1_bold,
snr,3.247901785723218,sub-08_ses-1_task-encoding_run-2_bold,
snr,3.259568970041844,sub-08_ses-1_task-encoding_run-3_bold,
snr,3.2625857410232606,sub-08_ses-1_task-encoding_run-4_bold,
snr,3.256709296113678,sub-08_ses-1_task-encoding_run-5_bold,
snr,3.2569474073863485,sub-08_ses-1_task-encoding_run-6_bold,
snr,3.226430102197218,sub-08_ses-1_task-encoding_run-7_bold,
snr,3.253013065837276,sub-08_ses-1_task-encoding_run-8_bold,
snr,3.238418655806564,sub-08_ses-1_task-rest_run-1_bold,
snr,3.250200650232339,sub-08_ses-1_task-rest_run-2_bold,
snr,3.305362398726547,sub-08_ses-1_task-similarity_run-1_bold,
snr,3.263539189725353,sub-08_ses-1_task-similarity_run-2_bold,
snr,3.2104845670010844,sub-08_ses-2_task-encoding_run-1_bold,
snr,3.2468302134666787,sub-08_ses-2_task-encoding_run-2_bold,
snr,3.2264358199665697,sub-08_ses-2_task-encoding_run-3_bold,
snr,3.2117298169689423,sub-08_ses-2_task-encoding_run-4_bold,
snr,3.200422967662803,sub-08_ses-2_task-encoding_run-5_bold,
snr,3.147062643238578,sub-08_ses-2_task-encoding_run-6_bold,
snr,3.1495723175617543,sub-08_ses-2_task-encoding_run-7_bold,
snr,3.1579100957652675,sub-08_ses-2_task-encoding_run-8_bold,
snr,3.1687472028696413,sub-08_ses-2_task-rest_run-1_bold,
snr,3.196662147227092,sub-08_ses-2_task-similarity_run-1_bold,
snr,3.205628737918924,sub-08_ses-2_task-similarity_run-2_bold,
snr,3.501599901710466,sub-09_ses-1_task-encoding_run-1_bold,
snr,3.523165533843343,sub-09_ses-1_task-encoding_run-2_bold,
snr,3.481667465585764,sub-09_ses-1_task-encoding_run-3_bold,
snr,3.505849197924342,sub-09_ses-1_task-encoding_run-4_bold,
snr,3.488094017642168,sub-09_ses-1_task-encoding_run-5_bold,
snr,3.4526817137192545,sub-09_ses-1_task-encoding_run-6_bold,
snr,3.448880333708522,sub-09_ses-1_task-encoding_run-7_bold,
snr,3.456951084805226,sub-09_ses-1_task-encoding_run-8_bold,
snr,3.4595012984068654,sub-09_ses-1_task-rest_run-1_bold,
snr,3.4587675061584675,sub-09_ses-1_task-rest_run-2_bold,
snr,3.4567709637193498,sub-09_ses-1_task-similarity_run-1_bold,
snr,3.435557147465123,sub-09_ses-1_task-similarity_run-2_bold,
snr,3.660079167092984,sub-09_ses-2_task-encoding_run-1_bold,
snr,3.714835050256467,sub-09_ses-2_task-encoding_run-2_bold,
snr,3.723183757322588,sub-09_ses-2_task-encoding_run-3_bold,
snr,3.63409860807864,sub-09_ses-2_task-encoding_run-4_bold,
snr,3.64157185472725,sub-09_ses-2_task-encoding_run-5_bold,
snr,3.658456797980999,sub-09_ses-2_task-encoding_run-6_bold,
snr,3.696531215122485,sub-09_ses-2_task-encoding_run-7_bold,
snr,3.712577524799886,sub-09_ses-2_task-encoding_run-8_bold,
snr,3.690601929893632,sub-09_ses-2_task-rest_run-1_bold,
snr,3.739704763700225,sub-09_ses-2_task-similarity_run-1_bold,
snr,3.6619092204670487,sub-09_ses-2_task-similarity_run-2_bold,
snr,3.037296578324085,sub-10_ses-1_task-encoding_run-1_bold,
snr,3.0142033079431174,sub-10_ses-1_task-encoding_run-2_bold,
snr,3.0171915187211646,sub-10_ses-1_task-encoding_run-3_bold,
snr,3.016689963601583,sub-10_ses-1_task-encoding_run-4_bold,
snr,3.019738883067747,sub-10_ses-1_task-encoding_run-5_bold,
snr,3.084445579845558,sub-10_ses-1_task-encoding_run-6_bold,
snr,3.0547278836977374,sub-10_ses-1_task-encoding_run-7_bold,
snr,3.0070077174083534,sub-10_ses-1_task-encoding_run-8_bold,
snr,2.995068209174452,sub-10_ses-1_task-rest_run-1_bold,
snr,3.068714084716071,sub-10_ses-1_task-rest_run-2_bold,
snr,3.024943481719102,sub-10_ses-1_task-similarity_run-1_bold,
snr,3.026247764827113,sub-10_ses-1_task-similarity_run-2_bold,
snr,3.1519102772516985,sub-10_ses-2_task-encoding_run-1_bold,
snr,3.150855084568024,sub-10_ses-2_task-encoding_run-2_bold,
snr,3.1089166552881413,sub-10_ses-2_task-encoding_run-3_bold,
snr,3.0943461116781537,sub-10_ses-2_task-encoding_run-4_bold,
snr,3.156817437359301,sub-10_ses-2_task-encoding_run-5_bold,
snr,3.15974887526268,sub-10_ses-2_task-encoding_run-6_bold,
snr,3.1587914908331443,sub-10_ses-2_task-encoding_run-7_bold,
snr,3.14625687749628,sub-10_ses-2_task-encoding_run-8_bold,
snr,3.104874596402441,sub-10_ses-2_task-rest_run-1_bold,
snr,3.1772871960999804,sub-10_ses-2_task-similarity_run-1_bold,
snr,3.161848933136215,sub-10_ses-2_task-similarity_run-2_bold,
snr,3.8058643343093688,sub-11_ses-1_task-encoding_run-1_bold,
snr,3.796253125966606,sub-11_ses-1_task-encoding_run-2_bold,
snr,3.839088824787697,sub-11_ses-1_task-encoding_run-3_bold,
snr,3.879132505561481,sub-11_ses-1_task-encoding_run-4_bold,
snr,3.84520613371806,sub-11_ses-1_task-encoding_run-5_bold,
snr,3.8375141759858296,sub-11_ses-1_task-encoding_run-6_bold,
snr,3.8146216079420094,sub-11_ses-1_task-encoding_run-7_bold,
snr,3.810199335628295,sub-11_ses-1_task-encoding_run-8_bold,
snr,3.814859879571434,sub-11_ses-1_task-rest_run-1_bold,
snr,3.785190341995777,sub-11_ses-1_task-rest_run-2_bold,
snr,3.866518067642495,sub-11_ses-1_task-similarity_run-1_bold,
snr,3.859964182658398,sub-11_ses-1_task-similarity_run-2_bold,
snr,3.854305953235925,sub-11_ses-2_task-encoding_run-1_bold,
snr,3.8136164911891015,sub-11_ses-2_task-encoding_run-2_bold,
snr,3.857110350138053,sub-11_ses-2_task-encoding_run-3_bold,
snr,3.818017616108787,sub-11_ses-2_task-encoding_run-4_bold,
snr,3.843556372185264,sub-11_ses-2_task-encoding_run-5_bold,
snr,3.876134060193946,sub-11_ses-2_task-encoding_run-6_bold,
snr,3.886344159925286,sub-11_ses-2_task-encoding_run-7_bold,
snr,3.9322245002607423,sub-11_ses-2_task-encoding_run-8_bold,
snr,3.936971843101945,sub-11_ses-2_task-rest_run-1_bold,
snr,3.9002217524389606,sub-11_ses-2_task-similarity_run-1_bold,
snr,3.927023279242708,sub-11_ses-2_task-similarity_run-2_bold,
snr,3.370913918590037,sub-13_ses-1_task-encoding_run-1_bold,
snr,3.382750253704521,sub-13_ses-1_task-encoding_run-2_bold,
snr,3.3710501981385783,sub-13_ses-1_task-encoding_run-3_bold,
snr,3.383002031490025,sub-13_ses-1_task-encoding_run-4_bold,
snr,3.372437142422578,sub-13_ses-1_task-encoding_run-5_bold,
snr,3.345740596384044,sub-13_ses-1_task-encoding_run-6_bold,
snr,3.404067859070244,sub-13_ses-1_task-encoding_run-7_bold,
snr,3.4357608853526496,sub-13_ses-1_task-encoding_run-8_bold,
snr,3.4508775007156736,sub-13_ses-1_task-rest_run-1_bold,
snr,3.434927815584993,sub-13_ses-1_task-rest_run-2_bold,
snr,3.459736262968903,sub-13_ses-1_task-similarity_run-1_bold,
snr,3.4089969390441137,sub-13_ses-1_task-similarity_run-2_bold,
snr,3.372664828600943,sub-13_ses-2_task-encoding_run-1_bold,
snr,3.4069560740015907,sub-13_ses-2_task-encoding_run-2_bold,
snr,3.347151736484709,sub-13_ses-2_task-encoding_run-3_bold,
snr,3.415283576577284,sub-13_ses-2_task-encoding_run-4_bold,
snr,3.384818923530521,sub-13_ses-2_task-encoding_run-5_bold,
snr,3.354517830461667,sub-13_ses-2_task-encoding_run-6_bold,
snr,3.34080586729841,sub-13_ses-2_task-encoding_run-7_bold,
snr,3.349010749394901,sub-13_ses-2_task-encoding_run-8_bold,
snr,3.3618148624299007,sub-13_ses-2_task-rest_run-1_bold,
snr,3.3885971008308107,sub-13_ses-2_task-similarity_run-1_bold,
snr,3.366920525390856,sub-13_ses-2_task-similarity_run-2_bold,
snr,3.272876460705001,sub-14_ses-1_task-encoding_run-1_bold,
snr,3.2477775056684,sub-14_ses-1_task-encoding_run-2_bold,
snr,3.2689899074999818,sub-14_ses-1_task-encoding_run-3_bold,
snr,3.251980663440777,sub-14_ses-1_task-encoding_run-4_bold,
snr,3.256497685574087,sub-14_ses-1_task-encoding_run-5_bold,
snr,3.278263142512652,sub-14_ses-1_task-encoding_run-6_bold,
snr,3.3042688121915447,sub-14_ses-1_task-encoding_run-7_bold,
snr,3.3232439690749342,sub-14_ses-1_task-encoding_run-8_bold,
snr,3.24639333637265,sub-14_ses-1_task-rest_run-1_bold,
snr,3.3201545439882296,sub-14_ses-1_task-rest_run-2_bold,
snr,3.337866013369292,sub-14_ses-1_task-similarity_run-1_bold,
snr,3.31930226483619,sub-14_ses-1_task-similarity_run-2_bold,
snr,3.677346128721536,sub-14_ses-2_task-encoding_run-1_bold,
snr,3.756114884850133,sub-14_ses-2_task-encoding_run-2_bold,
snr,3.677896098273529,sub-14_ses-2_task-encoding_run-3_bold,
snr,3.711035560568858,sub-14_ses-2_task-encoding_run-4_bold,
snr,3.708888376007968,sub-14_ses-2_task-encoding_run-5_bold,
snr,3.6450241435550974,sub-14_ses-2_task-encoding_run-6_bold,
snr,3.6298613262941823,sub-14_ses-2_task-encoding_run-7_bold,
snr,3.6056483044379286,sub-14_ses-2_task-encoding_run-8_bold,
snr,3.687389242417316,sub-14_ses-2_task-rest_run-1_bold,
snr,3.708998305814488,sub-14_ses-2_task-similarity_run-1_bold,
snr,3.708668209839936,sub-14_ses-2_task-similarity_run-2_bold,
snr,3.284333513265066,sub-16_ses-1_task-encoding_run-1_bold,
snr,3.365638163690981,sub-16_ses-1_task-encoding_run-2_bold,
snr,3.308537875005289,sub-16_ses-1_task-encoding_run-3_bold,
snr,3.3345163111128944,sub-16_ses-1_task-encoding_run-4_bold,
snr,3.357315409597712,sub-16_ses-1_task-encoding_run-5_bold,
snr,3.3556254576005493,sub-16_ses-1_task-encoding_run-6_bold,
snr,3.320335764963549,sub-16_ses-1_task-encoding_run-7_bold,
snr,3.352942455865175,sub-16_ses-1_task-encoding_run-8_bold,
snr,3.3698267174000853,sub-16_ses-1_task-rest_run-1_bold,
snr,3.359158512594268,sub-16_ses-1_task-rest_run-2_bold,
snr,3.3380601607483595,sub-16_ses-1_task-similarity_run-1_bold,
snr,3.3275563034370554,sub-16_ses-1_task-similarity_run-2_bold,
snr,3.45314571725343,sub-16_ses-2_task-encoding_run-1_bold,
snr,3.455842758955762,sub-16_ses-2_task-encoding_run-2_bold,
snr,3.4335349186055693,sub-16_ses-2_task-encoding_run-3_bold,
snr,3.514804874524474,sub-16_ses-2_task-encoding_run-4_bold,
snr,3.5219895237799155,sub-16_ses-2_task-encoding_run-5_bold,
snr,3.577115526755187,sub-16_ses-2_task-encoding_run-6_bold,
snr,3.547610486827569,sub-16_ses-2_task-encoding_run-7_bold,
snr,3.52118525713654,sub-16_ses-2_task-encoding_run-8_bold,
snr,3.508806191620728,sub-16_ses-2_task-rest_run-1_bold,
snr,3.540351011816788,sub-16_ses-2_task-similarity_run-1_bold,
snr,3.587480361867881,sub-16_ses-2_task-similarity_run-2_bold,
snr,3.4072000218034497,sub-17_ses-1_task-encoding_run-1_bold,
snr,3.4435972239838843,sub-17_ses-1_task-encoding_run-2_bold,
snr,3.416562977497975,sub-17_ses-1_task-encoding_run-3_bold,
snr,3.385545286967307,sub-17_ses-1_task-encoding_run-4_bold,
snr,3.397346590757992,sub-17_ses-1_task-encoding_run-5_bold,
snr,3.3789790280269374,sub-17_ses-1_task-encoding_run-6_bold,
snr,3.441121831205362,sub-17_ses-1_task-encoding_run-7_bold,
snr,3.3624665284297075,sub-17_ses-1_task-encoding_run-8_bold,
snr,3.5865548812880728,sub-17_ses-1_task-rest_run-1_bold,
snr,3.3653331022106427,sub-17_ses-1_task-rest_run-2_bold,
snr,3.56193834873718,sub-17_ses-1_task-similarity_run-1_bold,
snr,3.5214857748971062,sub-17_ses-1_task-similarity_run-2_bold,
snr,3.452844531188724,sub-17_ses-2_task-encoding_run-1_bold,
snr,3.361410866018605,sub-17_ses-2_task-encoding_run-2_bold,
snr,3.348603905110662,sub-17_ses-2_task-encoding_run-3_bold,
snr,3.454014619975862,sub-17_ses-2_task-encoding_run-4_bold,
snr,3.419989655136694,sub-17_ses-2_task-encoding_run-5_bold,
snr,3.4274804677413,sub-17_ses-2_task-encoding_run-6_bold,
snr,3.453262501203817,sub-17_ses-2_task-encoding_run-7_bold,
snr,3.476398640569501,sub-17_ses-2_task-encoding_run-8_bold,
snr,3.47830248548775,sub-17_ses-2_task-rest_run-1_bold,
snr,3.405127828147342,sub-17_ses-2_task-similarity_run-1_bold,
snr,3.4737009350669195,sub-17_ses-2_task-similarity_run-2_bold,
snr,3.6463073612026338,sub-18_ses-1_task-encoding_run-1_bold,
snr,3.646332244527723,sub-18_ses-1_task-encoding_run-2_bold,
snr,3.640321529592305,sub-18_ses-1_task-encoding_run-3_bold,
snr,3.65092892957557,sub-18_ses-1_task-encoding_run-4_bold,
snr,3.67180699079802,sub-18_ses-1_task-encoding_run-5_bold,
snr,3.570909725731302,sub-18_ses-1_task-encoding_run-6_bold,
snr,3.629603842634187,sub-18_ses-1_task-encoding_run-7_bold,
snr,3.635517469907952,sub-18_ses-1_task-encoding_run-8_bold,
snr,3.648551936145198,sub-18_ses-1_task-rest_run-1_bold,
snr,3.6775583485916634,sub-18_ses-1_task-rest_run-2_bold,
snr,3.6904429423765546,sub-18_ses-1_task-similarity_run-1_bold,
snr,3.717354360441675,sub-18_ses-1_task-similarity_run-2_bold,
snr,3.615340487010044,sub-18_ses-2_task-encoding_run-1_bold,
snr,3.5737711527663465,sub-18_ses-2_task-encoding_run-2_bold,
snr,3.542172235285143,sub-18_ses-2_task-encoding_run-3_bold,
snr,3.5002317984219893,sub-18_ses-2_task-encoding_run-4_bold,
snr,3.5171401463974763,sub-18_ses-2_task-encoding_run-5_bold,
snr,3.474187908938029,sub-18_ses-2_task-encoding_run-6_bold,
snr,3.5089665261318443,sub-18_ses-2_task-encoding_run-7_bold,
snr,3.515693463598664,sub-18_ses-2_task-encoding_run-8_bold,
snr,3.5173732746721678,sub-18_ses-2_task-rest_run-1_bold,
snr,3.508084231519953,sub-18_ses-2_task-similarity_run-1_bold,
snr,3.5027941902709547,sub-18_ses-2_task-similarity_run-2_bold,
snr,3.082158728358623,sub-19_ses-1_task-encoding_run-1_bold,
snr,3.077689788137372,sub-19_ses-1_task-encoding_run-2_bold,
snr,3.0496362546204296,sub-19_ses-1_task-encoding_run-3_bold,
snr,3.03552401269075,sub-19_ses-1_task-encoding_run-4_bold,
snr,3.0452816593073395,sub-19_ses-1_task-encoding_run-5_bold,
snr,3.0938346094113585,sub-19_ses-1_task-encoding_run-6_bold,
snr,3.0211157850457626,sub-19_ses-1_task-encoding_run-7_bold,
snr,3.0893300872527383,sub-19_ses-1_task-encoding_run-8_bold,
snr,3.0387254576994263,sub-19_ses-1_task-rest_run-1_bold,
snr,3.030031296220417,sub-19_ses-1_task-rest_run-2_bold,
snr,3.038095936386937,sub-19_ses-1_task-similarity_run-1_bold,
snr,3.0243344227132285,sub-19_ses-1_task-similarity_run-2_bold,
snr,3.0584038981815973,sub-19_ses-2_task-encoding_run-1_bold,
snr,3.006984427365225,sub-19_ses-2_task-encoding_run-2_bold,
snr,2.9977098562867384,sub-19_ses-2_task-encoding_run-3_bold,
snr,3.025785970601968,sub-19_ses-2_task-encoding_run-4_bold,
snr,3.0112472476357746,sub-19_ses-2_task-encoding_run-5_bold,
snr,2.9925778593643626,sub-19_ses-2_task-encoding_run-6_bold,
snr,2.963714308468334,sub-19_ses-2_task-encoding_run-7_bold,
snr,2.9467600774258664,sub-19_ses-2_task-encoding_run-8_bold,
snr,2.981598869665707,sub-19_ses-2_task-rest_run-1_bold,
snr,2.96352322093328,sub-19_ses-2_task-similarity_run-1_bold,
snr,2.9686488672042977,sub-19_ses-2_task-similarity_run-2_bold,
snr,3.4563012387002554,sub-20_ses-1_task-encoding_run-1_bold,
snr,3.469397669186277,sub-20_ses-1_task-encoding_run-2_bold,
snr,3.4554113509131925,sub-20_ses-1_task-encoding_run-3_bold,
snr,3.4555517506113698,sub-20_ses-1_task-encoding_run-4_bold,
snr,3.470554518789596,sub-20_ses-1_task-encoding_run-5_bold,
snr,3.5294534746051704,sub-20_ses-1_task-encoding_run-6_bold,
snr,3.533650800650887,sub-20_ses-1_task-encoding_run-7_bold,
snr,3.53800241470622,sub-20_ses-1_task-encoding_run-8_bold,
snr,3.500260054286792,sub-20_ses-1_task-rest_run-1_bold,
snr,3.5535003729194923,sub-20_ses-1_task-rest_run-2_bold,
snr,3.480814476846545,sub-20_ses-1_task-similarity_run-1_bold,
snr,3.463131046622688,sub-20_ses-1_task-similarity_run-2_bold,
snr,3.5499637262902546,sub-20_ses-2_task-encoding_run-1_bold,
snr,3.567218495828429,sub-20_ses-2_task-encoding_run-2_bold,
snr,3.535074091560144,sub-20_ses-2_task-encoding_run-3_bold,
snr,3.532821282529917,sub-20_ses-2_task-encoding_run-4_bold,
snr,3.4732256961106294,sub-20_ses-2_task-encoding_run-5_bold,
snr,3.4699645164513098,sub-20_ses-2_task-encoding_run-6_bold,
snr,3.580168646086105,sub-20_ses-2_task-encoding_run-7_bold,
snr,3.533362985526103,sub-20_ses-2_task-encoding_run-8_bold,
snr,3.494281037668853,sub-20_ses-2_task-rest_run-1_bold,
snr,3.583499307110462,sub-20_ses-2_task-similarity_run-1_bold,
snr,3.532546900705565,sub-20_ses-2_task-similarity_run-2_bold,
snr,3.353468639215308,sub-25_ses-1_task-encoding_run-1_bold,
snr,3.397663138597076,sub-25_ses-1_task-encoding_run-2_bold,
snr,3.3293571483972,sub-25_ses-1_task-encoding_run-3_bold,
snr,3.3454246032404256,sub-25_ses-1_task-encoding_run-4_bold,
snr,3.296986894121769,sub-25_ses-1_task-encoding_run-5_bold,
snr,3.3037541553306093,sub-25_ses-1_task-encoding_run-6_bold,
snr,3.323675746018707,sub-25_ses-1_task-encoding_run-7_bold,
snr,3.327615845765436,sub-25_ses-1_task-encoding_run-8_bold,
snr,3.3091270510601656,sub-25_ses-1_task-rest_run-1_bold,
snr,3.3399804059535803,sub-25_ses-1_task-rest_run-2_bold,
snr,3.301780943618466,sub-25_ses-1_task-similarity_run-1_bold,
snr,3.3309589656913703,sub-25_ses-1_task-similarity_run-2_bold,
snr,3.304397553913512,sub-25_ses-2_task-encoding_run-1_bold,
snr,3.356436886925286,sub-25_ses-2_task-encoding_run-2_bold,
snr,3.314984360635555,sub-25_ses-2_task-encoding_run-3_bold,
snr,3.358595601016401,sub-25_ses-2_task-encoding_run-4_bold,
snr,3.33419749443044,sub-25_ses-2_task-encoding_run-5_bold,
snr,3.3279648350638213,sub-25_ses-2_task-encoding_run-6_bold,
snr,3.3131147484795527,sub-25_ses-2_task-encoding_run-7_bold,
snr,3.3252568839932155,sub-25_ses-2_task-encoding_run-8_bold,
snr,3.340334943181865,sub-25_ses-2_task-rest_run-1_bold,
snr,3.34102355809502,sub-25_ses-2_task-similarity_run-1_bold,
snr,3.318167096103112,sub-25_ses-2_task-similarity_run-2_bold,
snr,3.476429043083469,sub-26_ses-1_task-encoding_run-1_bold,
snr,3.4823790250079028,sub-26_ses-1_task-encoding_run-2_bold,
snr,3.40800777361251,sub-26_ses-1_task-encoding_run-3_bold,
snr,3.464554597321638,sub-26_ses-1_task-encoding_run-4_bold,
snr,3.514011025342793,sub-26_ses-1_task-encoding_run-5_bold,
snr,3.496277255371572,sub-26_ses-1_task-encoding_run-6_bold,
snr,3.471475788170681,sub-26_ses-1_task-encoding_run-7_bold,
snr,3.461657931756537,sub-26_ses-1_task-encoding_run-8_bold,
snr,3.463809149170142,sub-26_ses-1_task-rest_run-1_bold,
snr,3.4584277800844565,sub-26_ses-1_task-rest_run-2_bold,
snr,3.4890016604345915,sub-26_ses-1_task-similarity_run-1_bold,
snr,3.427664466892542,sub-26_ses-1_task-similarity_run-2_bold,
snr,3.4040216406341868,sub-26_ses-2_task-encoding_run-1_bold,
snr,3.4480974991213973,sub-26_ses-2_task-encoding_run-2_bold,
snr,3.369232051944035,sub-26_ses-2_task-encoding_run-3_bold,
snr,3.3564446309355684,sub-26_ses-2_task-encoding_run-4_bold,
snr,3.382425619759176,sub-26_ses-2_task-encoding_run-5_bold,
snr,3.392798089506588,sub-26_ses-2_task-encoding_run-6_bold,
snr,3.368397169715404,sub-26_ses-2_task-encoding_run-7_bold,
snr,3.371525603898026,sub-26_ses-2_task-encoding_run-8_bold,
snr,3.3591528868415925,sub-26_ses-2_task-rest_run-1_bold,
snr,3.3728817156618667,sub-26_ses-2_task-similarity_run-1_bold,
snr,3.3337638203440227,sub-26_ses-2_task-similarity_run-2_bold,
snr,3.5090442295316464,sub-27_ses-1_task-encoding_run-1_bold,
snr,3.447079906235815,sub-27_ses-1_task-encoding_run-2_bold,
snr,3.5008357011346805,sub-27_ses-1_task-encoding_run-3_bold,
snr,3.463004811361481,sub-27_ses-1_task-encoding_run-4_bold,
snr,3.475148594472575,sub-27_ses-1_task-encoding_run-5_bold,
snr,3.480977104858069,sub-27_ses-1_task-encoding_run-6_bold,
snr,3.4594102831230567,sub-27_ses-1_task-encoding_run-7_bold,
snr,3.5006959129933164,sub-27_ses-1_task-encoding_run-8_bold,
snr,3.596935407935574,sub-27_ses-1_task-rest_run-1_bold,
snr,3.494440249849403,sub-27_ses-1_task-rest_run-2_bold,
snr,3.599766009498649,sub-27_ses-1_task-similarity_run-1_bold,
snr,3.5276484744037804,sub-27_ses-1_task-similarity_run-2_bold,
snr,3.51319768446844,sub-27_ses-2_task-encoding_run-1_bold,
snr,3.5666823112941946,sub-27_ses-2_task-encoding_run-2_bold,
snr,3.593418511309449,sub-27_ses-2_task-encoding_run-3_bold,
snr,3.643885669274941,sub-27_ses-2_task-encoding_run-4_bold,
snr,3.5771860860230484,sub-27_ses-2_task-encoding_run-5_bold,
snr,3.5686951418874,sub-27_ses-2_task-encoding_run-6_bold,
snr,3.647177907382126,sub-27_ses-2_task-encoding_run-7_bold,
snr,3.609331458832593,sub-27_ses-2_task-encoding_run-8_bold,
snr,3.5985862441170737,sub-27_ses-2_task-rest_run-1_bold,
snr,3.6007361312841684,sub-27_ses-2_task-similarity_run-1_bold,
snr,3.5808386766088858,sub-27_ses-2_task-similarity_run-2_bold,
snr,3.742196632703523,sub-28_ses-1_task-encoding_run-1_bold,
snr,3.700212361330669,sub-28_ses-1_task-encoding_run-2_bold,
snr,3.71558325353194,sub-28_ses-1_task-encoding_run-3_bold,
snr,3.766099452683509,sub-28_ses-1_task-encoding_run-4_bold,
snr,3.69977449848803,sub-28_ses-1_task-encoding_run-5_bold,
snr,3.790007761508496,sub-28_ses-1_task-encoding_run-6_bold,
snr,3.791501110786319,sub-28_ses-1_task-encoding_run-7_bold,
snr,3.779979399837642,sub-28_ses-1_task-encoding_run-8_bold,
snr,3.741848329541128,sub-28_ses-1_task-rest_run-1_bold,
snr,3.771202594529917,sub-28_ses-1_task-rest_run-2_bold,
snr,3.803226096299908,sub-28_ses-1_task-similarity_run-1_bold,
snr,3.729774511823101,sub-28_ses-1_task-similarity_run-2_bold,
snr,3.392321029167094,sub-28_ses-2_task-encoding_run-1_bold,
snr,3.3568850062232416,sub-28_ses-2_task-encoding_run-2_bold,
snr,3.390701889414577,sub-28_ses-2_task-encoding_run-3_bold,
snr,3.38097938349223,sub-28_ses-2_task-encoding_run-4_bold,
snr,3.397280967918318,sub-28_ses-2_task-encoding_run-5_bold,
snr,3.3683643921575253,sub-28_ses-2_task-encoding_run-6_bold,
snr,3.3493586381777862,sub-28_ses-2_task-encoding_run-7_bold,
snr,3.372925358310547,sub-28_ses-2_task-encoding_run-8_bold,
snr,3.4255958677332115,sub-28_ses-2_task-rest_run-1_bold,
snr,3.3962031508198143,sub-28_ses-2_task-similarity_run-1_bold,
snr,3.37423510906567,sub-28_ses-2_task-similarity_run-2_bold,
</pre>
<div class="chart-wrapper" id="chart-group5"></div>
<pre class="csvdata" id="data-csv5" style="display: none">
iqm,value,label,units
dvars_std,1.0298001940909087,sub-01_ses-1_task-encoding_run-1_bold,
dvars_std,0.9809841062337664,sub-01_ses-1_task-encoding_run-2_bold,
dvars_std,0.9646219679354836,sub-01_ses-1_task-encoding_run-3_bold,
dvars_std,1.007032440324676,sub-01_ses-1_task-encoding_run-4_bold,
dvars_std,0.9785155804516128,sub-01_ses-1_task-encoding_run-5_bold,
dvars_std,0.976200639806452,sub-01_ses-1_task-encoding_run-6_bold,
dvars_std,1.0322649729032254,sub-01_ses-1_task-encoding_run-7_bold,
dvars_std,1.0370160211688306,sub-01_ses-1_task-encoding_run-8_bold,
dvars_std,0.949456266704545,sub-01_ses-1_task-rest_run-1_bold,
dvars_std,0.971388557093024,sub-01_ses-1_task-similarity_run-1_bold,
dvars_std,0.922266545901162,sub-01_ses-1_task-similarity_run-2_bold,
dvars_std,1.0264537279354842,sub-01_ses-2_task-encoding_run-1_bold,
dvars_std,1.0283739228387103,sub-01_ses-2_task-encoding_run-2_bold,
dvars_std,1.023912557290323,sub-01_ses-2_task-encoding_run-3_bold,
dvars_std,1.0328476914838711,sub-01_ses-2_task-encoding_run-4_bold,
dvars_std,0.9673766512258066,sub-01_ses-2_task-encoding_run-5_bold,
dvars_std,1.0195695621290324,sub-01_ses-2_task-encoding_run-6_bold,
dvars_std,1.001305092597402,sub-01_ses-2_task-encoding_run-7_bold,
dvars_std,0.9929823477922076,sub-01_ses-2_task-encoding_run-8_bold,
dvars_std,1.0331270259659089,sub-01_ses-2_task-rest_run-1_bold,
dvars_std,0.947049222144928,sub-01_ses-2_task-similarity_run-1_bold,
dvars_std,0.9774474386376808,sub-01_ses-2_task-similarity_run-2_bold,
dvars_std,1.0060634860645163,sub-02_ses-1_task-encoding_run-1_bold,
dvars_std,0.9878594935064936,sub-02_ses-1_task-encoding_run-2_bold,
dvars_std,1.0182007075324673,sub-02_ses-1_task-encoding_run-3_bold,
dvars_std,1.0185806570129865,sub-02_ses-1_task-encoding_run-4_bold,
dvars_std,1.0279677386928108,sub-02_ses-1_task-encoding_run-5_bold,
dvars_std,1.022623286298701,sub-02_ses-1_task-encoding_run-6_bold,
dvars_std,1.0198272112337654,sub-02_ses-1_task-encoding_run-7_bold,
dvars_std,0.9983069975974026,sub-02_ses-1_task-encoding_run-8_bold,
dvars_std,0.9889345930508472,sub-02_ses-1_task-rest_run-1_bold,
dvars_std,0.94777105125,sub-02_ses-1_task-rest_run-2_bold,
dvars_std,0.9732195535362316,sub-02_ses-1_task-similarity_run-1_bold,
dvars_std,0.9806986358260869,sub-02_ses-1_task-similarity_run-2_bold,
dvars_std,1.026616708896104,sub-02_ses-2_task-encoding_run-1_bold,
dvars_std,1.0236617428571426,sub-02_ses-2_task-encoding_run-2_bold,
dvars_std,1.0153770095483872,sub-02_ses-2_task-encoding_run-3_bold,
dvars_std,1.0196132194193557,sub-02_ses-2_task-encoding_run-4_bold,
dvars_std,1.0297753500000004,sub-02_ses-2_task-encoding_run-5_bold,
dvars_std,1.0194725447096773,sub-02_ses-2_task-encoding_run-6_bold,
dvars_std,1.0372510226666665,sub-02_ses-2_task-encoding_run-7_bold,
dvars_std,1.0260914890967745,sub-02_ses-2_task-encoding_run-8_bold,
dvars_std,1.033272427324841,sub-02_ses-2_task-rest_run-1_bold,
dvars_std,0.9848589159420288,sub-02_ses-2_task-similarity_run-1_bold,
dvars_std,1.0099851475290695,sub-02_ses-2_task-similarity_run-2_bold,
dvars_std,1.0206621005194807,sub-03_ses-1_task-encoding_run-1_bold,
dvars_std,1.01469007474026,sub-03_ses-1_task-encoding_run-2_bold,
dvars_std,1.0137035034868425,sub-03_ses-1_task-encoding_run-3_bold,
dvars_std,1.0135156367320262,sub-03_ses-1_task-encoding_run-4_bold,
dvars_std,1.0184181243137254,sub-03_ses-1_task-encoding_run-5_bold,
dvars_std,1.0126244966233773,sub-03_ses-1_task-encoding_run-6_bold,
dvars_std,1.0029389585806452,sub-03_ses-1_task-encoding_run-7_bold,
dvars_std,1.0230503454248367,sub-03_ses-1_task-encoding_run-8_bold,
dvars_std,1.0085745449431818,sub-03_ses-1_task-rest_run-1_bold,
dvars_std,1.024141769375001,sub-03_ses-1_task-rest_run-2_bold,
dvars_std,1.021200263101449,sub-03_ses-1_task-similarity_run-1_bold,
dvars_std,1.0188622517732562,sub-03_ses-1_task-similarity_run-2_bold,
dvars_std,1.014618841363636,sub-03_ses-2_task-encoding_run-1_bold,
dvars_std,1.026962777987013,sub-03_ses-2_task-encoding_run-2_bold,
dvars_std,1.0393964262580648,sub-03_ses-2_task-encoding_run-3_bold,
dvars_std,1.0459619657142858,sub-03_ses-2_task-encoding_run-4_bold,
dvars_std,1.058855021233766,sub-03_ses-2_task-encoding_run-5_bold,
dvars_std,1.0692102351948054,sub-03_ses-2_task-encoding_run-6_bold,
dvars_std,1.0533225812987013,sub-03_ses-2_task-encoding_run-7_bold,
dvars_std,1.0688083185714286,sub-03_ses-2_task-encoding_run-8_bold,
dvars_std,1.0680875502272733,sub-03_ses-2_task-rest_run-1_bold,
dvars_std,1.0565324529360458,sub-03_ses-2_task-similarity_run-1_bold,
dvars_std,1.0553529687826098,sub-03_ses-2_task-similarity_run-2_bold,
dvars_std,1.0107182546103897,sub-04_ses-1_task-encoding_run-1_bold,
dvars_std,1.0179830888311685,sub-04_ses-1_task-encoding_run-2_bold,
dvars_std,1.031342434836601,sub-04_ses-1_task-encoding_run-3_bold,
dvars_std,1.045329073181818,sub-04_ses-1_task-encoding_run-4_bold,
dvars_std,1.038616969415585,sub-04_ses-1_task-encoding_run-5_bold,
dvars_std,1.0386294475974025,sub-04_ses-1_task-encoding_run-6_bold,
dvars_std,1.0423234297402597,sub-04_ses-1_task-encoding_run-7_bold,
dvars_std,1.0367478469032256,sub-04_ses-1_task-encoding_run-8_bold,
dvars_std,1.0283417442372886,sub-04_ses-1_task-rest_run-1_bold,
dvars_std,1.041231894772727,sub-04_ses-1_task-rest_run-2_bold,
dvars_std,0.980442232180232,sub-04_ses-1_task-similarity_run-1_bold,
dvars_std,1.0237921370434786,sub-04_ses-1_task-similarity_run-2_bold,
dvars_std,0.9994728735483872,sub-04_ses-2_task-encoding_run-1_bold,
dvars_std,1.0049204498064523,sub-04_ses-2_task-encoding_run-2_bold,
dvars_std,0.9919454612337656,sub-04_ses-2_task-encoding_run-3_bold,
dvars_std,0.9954342570779218,sub-04_ses-2_task-encoding_run-4_bold,
dvars_std,1.008576137662338,sub-04_ses-2_task-encoding_run-5_bold,
dvars_std,1.0027074681818178,sub-04_ses-2_task-encoding_run-6_bold,
dvars_std,1.0027600492857138,sub-04_ses-2_task-encoding_run-7_bold,
dvars_std,1.001326438506493,sub-04_ses-2_task-encoding_run-8_bold,
dvars_std,1.015853141590909,sub-04_ses-2_task-rest_run-1_bold,
dvars_std,1.0021007518023266,sub-04_ses-2_task-similarity_run-1_bold,
dvars_std,0.9978788132069972,sub-04_ses-2_task-similarity_run-2_bold,
dvars_std,1.0423788521290327,sub-06_ses-1_task-encoding_run-1_bold,
dvars_std,1.0451611181818177,sub-06_ses-1_task-encoding_run-2_bold,
dvars_std,1.0072229963225807,sub-06_ses-1_task-encoding_run-3_bold,
dvars_std,1.043121461428571,sub-06_ses-1_task-encoding_run-4_bold,
dvars_std,1.041690489548387,sub-06_ses-1_task-encoding_run-5_bold,
dvars_std,1.0641434507189542,sub-06_ses-1_task-encoding_run-6_bold,
dvars_std,1.0594542757142853,sub-06_ses-1_task-encoding_run-7_bold,
dvars_std,1.0609695483116883,sub-06_ses-1_task-encoding_run-8_bold,
dvars_std,1.0333204497727273,sub-06_ses-1_task-rest_run-1_bold,
dvars_std,1.0797127917977525,sub-06_ses-1_task-rest_run-2_bold,
dvars_std,1.0080353234302328,sub-06_ses-1_task-similarity_run-1_bold,
dvars_std,1.0294416851014492,sub-06_ses-1_task-similarity_run-2_bold,
dvars_std,1.0102174707142864,sub-06_ses-2_task-encoding_run-1_bold,
dvars_std,1.03634163396104,sub-06_ses-2_task-encoding_run-2_bold,
dvars_std,1.0334237365161292,sub-06_ses-2_task-encoding_run-3_bold,
dvars_std,0.974210184258065,sub-06_ses-2_task-encoding_run-4_bold,
dvars_std,1.0417421368831163,sub-06_ses-2_task-encoding_run-5_bold,
dvars_std,1.061670962222222,sub-06_ses-2_task-encoding_run-6_bold,
dvars_std,1.048394418064516,sub-06_ses-2_task-encoding_run-7_bold,
dvars_std,1.0104563013548389,sub-06_ses-2_task-encoding_run-8_bold,
dvars_std,1.0471873936723162,sub-06_ses-2_task-rest_run-1_bold,
dvars_std,1.0299683981686043,sub-06_ses-2_task-similarity_run-1_bold,
dvars_std,0.955436365377906,sub-06_ses-2_task-similarity_run-2_bold,
dvars_std,1.0187221604516126,sub-08_ses-1_task-encoding_run-1_bold,
dvars_std,1.0233420133116882,sub-08_ses-1_task-encoding_run-2_bold,
dvars_std,1.0179034430519482,sub-08_ses-1_task-encoding_run-3_bold,
dvars_std,1.0161847504516133,sub-08_ses-1_task-encoding_run-4_bold,
dvars_std,1.0086084980645167,sub-08_ses-1_task-encoding_run-5_bold,
dvars_std,1.0293402034415586,sub-08_ses-1_task-encoding_run-6_bold,
dvars_std,1.023123685194805,sub-08_ses-1_task-encoding_run-7_bold,
dvars_std,1.016789850387097,sub-08_ses-1_task-encoding_run-8_bold,
dvars_std,1.031241162272727,sub-08_ses-1_task-rest_run-1_bold,
dvars_std,1.0396078273446332,sub-08_ses-1_task-rest_run-2_bold,
dvars_std,1.021544227681159,sub-08_ses-1_task-similarity_run-1_bold,
dvars_std,1.0382736529275365,sub-08_ses-1_task-similarity_run-2_bold,
dvars_std,1.0203693805806455,sub-08_ses-2_task-encoding_run-1_bold,
dvars_std,1.0233661113548378,sub-08_ses-2_task-encoding_run-2_bold,
dvars_std,1.038777933225807,sub-08_ses-2_task-encoding_run-3_bold,
dvars_std,1.024986874322581,sub-08_ses-2_task-encoding_run-4_bold,
dvars_std,1.0317965808441558,sub-08_ses-2_task-encoding_run-5_bold,
dvars_std,1.0361893802597404,sub-08_ses-2_task-encoding_run-6_bold,
dvars_std,1.0071373789677427,sub-08_ses-2_task-encoding_run-7_bold,
dvars_std,0.9552622317419354,sub-08_ses-2_task-encoding_run-8_bold,
dvars_std,1.0485210629943509,sub-08_ses-2_task-rest_run-1_bold,
dvars_std,1.0142455927246372,sub-08_ses-2_task-similarity_run-1_bold,
dvars_std,1.0934022570434785,sub-08_ses-2_task-similarity_run-2_bold,
dvars_std,1.0517468227272724,sub-09_ses-1_task-encoding_run-1_bold,
dvars_std,1.0536493004545455,sub-09_ses-1_task-encoding_run-2_bold,
dvars_std,1.0467475684415586,sub-09_ses-1_task-encoding_run-3_bold,
dvars_std,1.0458855002597398,sub-09_ses-1_task-encoding_run-4_bold,
dvars_std,1.0451242412337671,sub-09_ses-1_task-encoding_run-5_bold,
dvars_std,1.0431270332903226,sub-09_ses-1_task-encoding_run-6_bold,
dvars_std,1.0441845937012986,sub-09_ses-1_task-encoding_run-7_bold,
dvars_std,1.04054872483871,sub-09_ses-1_task-encoding_run-8_bold,
dvars_std,1.0428237324293783,sub-09_ses-1_task-rest_run-1_bold,
dvars_std,1.0477755411363634,sub-09_ses-1_task-rest_run-2_bold,
dvars_std,1.035998785872093,sub-09_ses-1_task-similarity_run-1_bold,
dvars_std,1.0527087901453485,sub-09_ses-1_task-similarity_run-2_bold,
dvars_std,1.0203602192258068,sub-09_ses-2_task-encoding_run-1_bold,
dvars_std,1.0109673927272729,sub-09_ses-2_task-encoding_run-2_bold,
dvars_std,1.0301983893506492,sub-09_ses-2_task-encoding_run-3_bold,
dvars_std,1.0279694181818184,sub-09_ses-2_task-encoding_run-4_bold,
dvars_std,1.0233150527272723,sub-09_ses-2_task-encoding_run-5_bold,
dvars_std,1.0227846419480526,sub-09_ses-2_task-encoding_run-6_bold,
dvars_std,1.0374049699346408,sub-09_ses-2_task-encoding_run-7_bold,
dvars_std,1.0367759844155844,sub-09_ses-2_task-encoding_run-8_bold,
dvars_std,1.0324419812500003,sub-09_ses-2_task-rest_run-1_bold,
dvars_std,1.0292962610755818,sub-09_ses-2_task-similarity_run-1_bold,
dvars_std,0.9972873076162794,sub-09_ses-2_task-similarity_run-2_bold,
dvars_std,1.0075892269677424,sub-10_ses-1_task-encoding_run-1_bold,
dvars_std,1.014634241363636,sub-10_ses-1_task-encoding_run-2_bold,
dvars_std,1.006961438774194,sub-10_ses-1_task-encoding_run-3_bold,
dvars_std,1.0176790389677424,sub-10_ses-1_task-encoding_run-4_bold,
dvars_std,1.0171376426451617,sub-10_ses-1_task-encoding_run-5_bold,
dvars_std,1.0005240098064518,sub-10_ses-1_task-encoding_run-6_bold,
dvars_std,1.004426332064516,sub-10_ses-1_task-encoding_run-7_bold,
dvars_std,1.034529947712418,sub-10_ses-1_task-encoding_run-8_bold,
dvars_std,1.023881735875706,sub-10_ses-1_task-rest_run-1_bold,
dvars_std,1.0227172407386362,sub-10_ses-1_task-rest_run-2_bold,
dvars_std,1.0050112535174414,sub-10_ses-1_task-similarity_run-1_bold,
dvars_std,0.988017217936047,sub-10_ses-1_task-similarity_run-2_bold,
dvars_std,1.0009228827096777,sub-10_ses-2_task-encoding_run-1_bold,
dvars_std,1.0084856425324675,sub-10_ses-2_task-encoding_run-2_bold,
dvars_std,1.013310033935484,sub-10_ses-2_task-encoding_run-3_bold,
dvars_std,1.030840300714286,sub-10_ses-2_task-encoding_run-4_bold,
dvars_std,1.01681815316129,sub-10_ses-2_task-encoding_run-5_bold,
dvars_std,1.006461387548387,sub-10_ses-2_task-encoding_run-6_bold,
dvars_std,1.0044298155483868,sub-10_ses-2_task-encoding_run-7_bold,
dvars_std,1.0070161643506494,sub-10_ses-2_task-encoding_run-8_bold,
dvars_std,1.0166922063276835,sub-10_ses-2_task-rest_run-1_bold,
dvars_std,1.0000752754941864,sub-10_ses-2_task-similarity_run-1_bold,
dvars_std,0.995715425217392,sub-10_ses-2_task-similarity_run-2_bold,
dvars_std,1.027494847857143,sub-11_ses-1_task-encoding_run-1_bold,
dvars_std,1.011896221548387,sub-11_ses-1_task-encoding_run-2_bold,
dvars_std,1.0669701260130715,sub-11_ses-1_task-encoding_run-3_bold,
dvars_std,1.0294130576623388,sub-11_ses-1_task-encoding_run-4_bold,
dvars_std,1.0390356227450983,sub-11_ses-1_task-encoding_run-5_bold,
dvars_std,1.0345961043870966,sub-11_ses-1_task-encoding_run-6_bold,
dvars_std,1.0076922773376626,sub-11_ses-1_task-encoding_run-7_bold,
dvars_std,1.0240891990967744,sub-11_ses-1_task-encoding_run-8_bold,
dvars_std,1.02013214,sub-11_ses-1_task-rest_run-1_bold,
dvars_std,1.042122759943502,sub-11_ses-1_task-rest_run-2_bold,
dvars_std,1.0270989011046512,sub-11_ses-1_task-similarity_run-1_bold,
dvars_std,1.072242562521739,sub-11_ses-1_task-similarity_run-2_bold,
dvars_std,1.05908222474026,sub-11_ses-2_task-encoding_run-1_bold,
dvars_std,1.0637512746451607,sub-11_ses-2_task-encoding_run-2_bold,
dvars_std,1.0432832639354843,sub-11_ses-2_task-encoding_run-3_bold,
dvars_std,1.0342297284516129,sub-11_ses-2_task-encoding_run-4_bold,
dvars_std,1.0385875116774197,sub-11_ses-2_task-encoding_run-5_bold,
dvars_std,1.03634452348387,sub-11_ses-2_task-encoding_run-6_bold,
dvars_std,1.0364838443225803,sub-11_ses-2_task-encoding_run-7_bold,
dvars_std,1.0323882222580645,sub-11_ses-2_task-encoding_run-8_bold,
dvars_std,0.9997542492655364,sub-11_ses-2_task-rest_run-1_bold,
dvars_std,1.0028263899420298,sub-11_ses-2_task-similarity_run-1_bold,
dvars_std,0.9854710961337202,sub-11_ses-2_task-similarity_run-2_bold,
dvars_std,1.0231819098701298,sub-13_ses-1_task-encoding_run-1_bold,
dvars_std,1.020571807012987,sub-13_ses-1_task-encoding_run-2_bold,
dvars_std,1.0234162768181814,sub-13_ses-1_task-encoding_run-3_bold,
dvars_std,1.034235419350649,sub-13_ses-1_task-encoding_run-4_bold,
dvars_std,1.0231338747402592,sub-13_ses-1_task-encoding_run-5_bold,
dvars_std,1.0266084784415588,sub-13_ses-1_task-encoding_run-6_bold,
dvars_std,1.024335893790849,sub-13_ses-1_task-encoding_run-7_bold,
dvars_std,1.0235638899350648,sub-13_ses-1_task-encoding_run-8_bold,
dvars_std,1.0303205617613636,sub-13_ses-1_task-rest_run-1_bold,
dvars_std,1.0292024615340911,sub-13_ses-1_task-rest_run-2_bold,
dvars_std,1.0056139707288625,sub-13_ses-1_task-similarity_run-1_bold,
dvars_std,1.0092945768313952,sub-13_ses-1_task-similarity_run-2_bold,
dvars_std,1.0150328405844156,sub-13_ses-2_task-encoding_run-1_bold,
dvars_std,1.0167180727922087,sub-13_ses-2_task-encoding_run-2_bold,
dvars_std,1.0300534429411767,sub-13_ses-2_task-encoding_run-3_bold,
dvars_std,1.0185407774675324,sub-13_ses-2_task-encoding_run-4_bold,
dvars_std,1.0281208435947706,sub-13_ses-2_task-encoding_run-5_bold,
dvars_std,1.0101454192903228,sub-13_ses-2_task-encoding_run-6_bold,
dvars_std,1.0150771720779217,sub-13_ses-2_task-encoding_run-7_bold,
dvars_std,1.0282527260130718,sub-13_ses-2_task-encoding_run-8_bold,
dvars_std,1.0211827872881347,sub-13_ses-2_task-rest_run-1_bold,
dvars_std,1.0166235974927118,sub-13_ses-2_task-similarity_run-1_bold,
dvars_std,1.0081710338081402,sub-13_ses-2_task-similarity_run-2_bold,
dvars_std,1.0277747652903226,sub-14_ses-1_task-encoding_run-1_bold,
dvars_std,1.0228141752000004,sub-14_ses-1_task-encoding_run-2_bold,
dvars_std,1.0188686152258062,sub-14_ses-1_task-encoding_run-3_bold,
dvars_std,1.0221518954838709,sub-14_ses-1_task-encoding_run-4_bold,
dvars_std,1.0192215085161294,sub-14_ses-1_task-encoding_run-5_bold,
dvars_std,1.0342657455483872,sub-14_ses-1_task-encoding_run-6_bold,
dvars_std,1.0217774398709685,sub-14_ses-1_task-encoding_run-7_bold,
dvars_std,1.0174123345161292,sub-14_ses-1_task-encoding_run-8_bold,
dvars_std,1.022731243728814,sub-14_ses-1_task-rest_run-1_bold,
dvars_std,1.0136615303389822,sub-14_ses-1_task-rest_run-2_bold,
dvars_std,1.0239718312753625,sub-14_ses-1_task-similarity_run-1_bold,
dvars_std,1.029904963333333,sub-14_ses-1_task-similarity_run-2_bold,
dvars_std,1.002981569225807,sub-14_ses-2_task-encoding_run-1_bold,
dvars_std,1.0271762339354844,sub-14_ses-2_task-encoding_run-2_bold,
dvars_std,1.026788781225806,sub-14_ses-2_task-encoding_run-3_bold,
dvars_std,1.039337606282052,sub-14_ses-2_task-encoding_run-4_bold,
dvars_std,1.0521044738194445,sub-14_ses-2_task-encoding_run-5_bold,
dvars_std,1.0408069043870962,sub-14_ses-2_task-encoding_run-6_bold,
dvars_std,1.025292659096774,sub-14_ses-2_task-encoding_run-7_bold,
dvars_std,1.0348519353846153,sub-14_ses-2_task-encoding_run-8_bold,
dvars_std,1.0143522661016957,sub-14_ses-2_task-rest_run-1_bold,
dvars_std,1.033558365246376,sub-14_ses-2_task-similarity_run-1_bold,
dvars_std,1.0357162069855073,sub-14_ses-2_task-similarity_run-2_bold,
dvars_std,1.0443667461935475,sub-16_ses-1_task-encoding_run-1_bold,
dvars_std,1.0146912758441555,sub-16_ses-1_task-encoding_run-2_bold,
dvars_std,1.0127554737419353,sub-16_ses-1_task-encoding_run-3_bold,
dvars_std,1.055769263701299,sub-16_ses-1_task-encoding_run-4_bold,
dvars_std,1.0276540878431375,sub-16_ses-1_task-encoding_run-5_bold,
dvars_std,1.0346176661290325,sub-16_ses-1_task-encoding_run-6_bold,
dvars_std,1.046019448766234,sub-16_ses-1_task-encoding_run-7_bold,
dvars_std,1.0276481908387096,sub-16_ses-1_task-encoding_run-8_bold,
dvars_std,1.0481097987499994,sub-16_ses-1_task-rest_run-1_bold,
dvars_std,1.0425201974576284,sub-16_ses-1_task-rest_run-2_bold,
dvars_std,1.0492352368513116,sub-16_ses-1_task-similarity_run-1_bold,
dvars_std,1.0610885076231886,sub-16_ses-1_task-similarity_run-2_bold,
dvars_std,1.072660898116883,sub-16_ses-2_task-encoding_run-1_bold,
dvars_std,1.0602703729032252,sub-16_ses-2_task-encoding_run-2_bold,
dvars_std,1.0654468030967743,sub-16_ses-2_task-encoding_run-3_bold,
dvars_std,1.015369430194805,sub-16_ses-2_task-encoding_run-4_bold,
dvars_std,1.0622080132467533,sub-16_ses-2_task-encoding_run-5_bold,
dvars_std,0.9705136292207796,sub-16_ses-2_task-encoding_run-6_bold,
dvars_std,1.0650688358441551,sub-16_ses-2_task-encoding_run-7_bold,
dvars_std,1.0487870989677424,sub-16_ses-2_task-encoding_run-8_bold,
dvars_std,1.063943837954545,sub-16_ses-2_task-rest_run-1_bold,
dvars_std,1.0254419373837207,sub-16_ses-2_task-similarity_run-1_bold,
dvars_std,1.0229513232848837,sub-16_ses-2_task-similarity_run-2_bold,
dvars_std,1.0239406220000002,sub-17_ses-1_task-encoding_run-1_bold,
dvars_std,0.98964413716129,sub-17_ses-1_task-encoding_run-2_bold,
dvars_std,1.0165078765161293,sub-17_ses-1_task-encoding_run-3_bold,
dvars_std,1.0080284645161293,sub-17_ses-1_task-encoding_run-4_bold,
dvars_std,1.014788279285714,sub-17_ses-1_task-encoding_run-5_bold,
dvars_std,1.01783299487013,sub-17_ses-1_task-encoding_run-6_bold,
dvars_std,0.9939818245161288,sub-17_ses-1_task-encoding_run-7_bold,
dvars_std,1.0094985487012986,sub-17_ses-1_task-encoding_run-8_bold,
dvars_std,0.9835822842937844,sub-17_ses-1_task-rest_run-1_bold,
dvars_std,1.015361181242938,sub-17_ses-1_task-rest_run-2_bold,
dvars_std,1.006103703633721,sub-17_ses-1_task-similarity_run-1_bold,
dvars_std,1.033612695813953,sub-17_ses-1_task-similarity_run-2_bold,
dvars_std,1.0545155456129034,sub-17_ses-2_task-encoding_run-1_bold,
dvars_std,1.084277521233766,sub-17_ses-2_task-encoding_run-2_bold,
dvars_std,1.0618601348701295,sub-17_ses-2_task-encoding_run-3_bold,
dvars_std,1.0266321760000006,sub-17_ses-2_task-encoding_run-4_bold,
dvars_std,1.0553134622077924,sub-17_ses-2_task-encoding_run-5_bold,
dvars_std,1.064509909545454,sub-17_ses-2_task-encoding_run-6_bold,
dvars_std,1.0600917925974025,sub-17_ses-2_task-encoding_run-7_bold,
dvars_std,1.0514176857792208,sub-17_ses-2_task-encoding_run-8_bold,
dvars_std,1.0452421185142855,sub-17_ses-2_task-rest_run-1_bold,
dvars_std,1.0328293813623193,sub-17_ses-2_task-similarity_run-1_bold,
dvars_std,1.030354591449276,sub-17_ses-2_task-similarity_run-2_bold,
dvars_std,1.028998589419355,sub-18_ses-1_task-encoding_run-1_bold,
dvars_std,1.033803185584416,sub-18_ses-1_task-encoding_run-2_bold,
dvars_std,1.0489110692810464,sub-18_ses-1_task-encoding_run-3_bold,
dvars_std,1.0250240381045754,sub-18_ses-1_task-encoding_run-4_bold,
dvars_std,1.011667641233766,sub-18_ses-1_task-encoding_run-5_bold,
dvars_std,1.0170106,sub-18_ses-1_task-encoding_run-6_bold,
dvars_std,1.0296045255194812,sub-18_ses-1_task-encoding_run-7_bold,
dvars_std,1.0254030808552632,sub-18_ses-1_task-encoding_run-8_bold,
dvars_std,1.0233351115909095,sub-18_ses-1_task-rest_run-1_bold,
dvars_std,1.024262644943182,sub-18_ses-1_task-rest_run-2_bold,
dvars_std,0.9765708652906973,sub-18_ses-1_task-similarity_run-1_bold,
dvars_std,1.032755755406977,sub-18_ses-1_task-similarity_run-2_bold,
dvars_std,1.0421149746103897,sub-18_ses-2_task-encoding_run-1_bold,
dvars_std,1.0413514393421055,sub-18_ses-2_task-encoding_run-2_bold,
dvars_std,1.0418832136363634,sub-18_ses-2_task-encoding_run-3_bold,
dvars_std,1.042228727402598,sub-18_ses-2_task-encoding_run-4_bold,
dvars_std,1.03847095083871,sub-18_ses-2_task-encoding_run-5_bold,
dvars_std,1.03929643538961,sub-18_ses-2_task-encoding_run-6_bold,
dvars_std,1.0383600360810812,sub-18_ses-2_task-encoding_run-7_bold,
dvars_std,1.0371387338311682,sub-18_ses-2_task-encoding_run-8_bold,
dvars_std,1.0226614998295451,sub-18_ses-2_task-rest_run-1_bold,
dvars_std,0.9736270269476748,sub-18_ses-2_task-similarity_run-1_bold,
dvars_std,1.0180785716909622,sub-18_ses-2_task-similarity_run-2_bold,
dvars_std,1.02228304538961,sub-19_ses-1_task-encoding_run-1_bold,
dvars_std,1.0237752938961042,sub-19_ses-1_task-encoding_run-2_bold,
dvars_std,1.0236739299350657,sub-19_ses-1_task-encoding_run-3_bold,
dvars_std,1.0272448822077922,sub-19_ses-1_task-encoding_run-4_bold,
dvars_std,1.0226844969480513,sub-19_ses-1_task-encoding_run-5_bold,
dvars_std,1.0113245881168833,sub-19_ses-1_task-encoding_run-6_bold,
dvars_std,1.0060385194805193,sub-19_ses-1_task-encoding_run-7_bold,
dvars_std,1.0407777015584418,sub-19_ses-1_task-encoding_run-8_bold,
dvars_std,1.0168121821022729,sub-19_ses-1_task-rest_run-1_bold,
dvars_std,1.0289052196022723,sub-19_ses-1_task-rest_run-2_bold,
dvars_std,1.00628176372093,sub-19_ses-1_task-similarity_run-1_bold,
dvars_std,1.0264479116959062,sub-19_ses-1_task-similarity_run-2_bold,
dvars_std,1.016348030838709,sub-19_ses-2_task-encoding_run-1_bold,
dvars_std,1.030322440653595,sub-19_ses-2_task-encoding_run-2_bold,
dvars_std,1.0445246638961034,sub-19_ses-2_task-encoding_run-3_bold,
dvars_std,1.036787209675325,sub-19_ses-2_task-encoding_run-4_bold,
dvars_std,1.0415439567532463,sub-19_ses-2_task-encoding_run-5_bold,
dvars_std,1.044168634967742,sub-19_ses-2_task-encoding_run-6_bold,
dvars_std,1.0264240958441555,sub-19_ses-2_task-encoding_run-7_bold,
dvars_std,1.0419452601935486,sub-19_ses-2_task-encoding_run-8_bold,
dvars_std,1.0353365727272723,sub-19_ses-2_task-rest_run-1_bold,
dvars_std,1.0299581399127908,sub-19_ses-2_task-similarity_run-1_bold,
dvars_std,1.0305283177842566,sub-19_ses-2_task-similarity_run-2_bold,
dvars_std,1.0417838814935068,sub-20_ses-1_task-encoding_run-1_bold,
dvars_std,1.050197425294117,sub-20_ses-1_task-encoding_run-2_bold,
dvars_std,1.038356181428571,sub-20_ses-1_task-encoding_run-3_bold,
dvars_std,1.026969711103896,sub-20_ses-1_task-encoding_run-4_bold,
dvars_std,1.0172590207741934,sub-20_ses-1_task-encoding_run-5_bold,
dvars_std,1.0293352316129034,sub-20_ses-1_task-encoding_run-6_bold,
dvars_std,1.025596178645162,sub-20_ses-1_task-encoding_run-7_bold,
dvars_std,1.0216500868181824,sub-20_ses-1_task-encoding_run-8_bold,
dvars_std,1.0226514392090391,sub-20_ses-1_task-rest_run-1_bold,
dvars_std,1.0233393846022727,sub-20_ses-1_task-rest_run-2_bold,
dvars_std,0.9970737555813942,sub-20_ses-1_task-similarity_run-1_bold,
dvars_std,1.0153317045348842,sub-20_ses-1_task-similarity_run-2_bold,
dvars_std,0.9798958083225804,sub-20_ses-2_task-encoding_run-1_bold,
dvars_std,1.0292480500649357,sub-20_ses-2_task-encoding_run-2_bold,
dvars_std,1.0252384990259742,sub-20_ses-2_task-encoding_run-3_bold,
dvars_std,1.0147588000649357,sub-20_ses-2_task-encoding_run-4_bold,
dvars_std,1.0341512865359477,sub-20_ses-2_task-encoding_run-5_bold,
dvars_std,1.027128007402598,sub-20_ses-2_task-encoding_run-6_bold,
dvars_std,1.0268223893464048,sub-20_ses-2_task-encoding_run-7_bold,
dvars_std,1.020257240709677,sub-20_ses-2_task-encoding_run-8_bold,
dvars_std,1.035713074067797,sub-20_ses-2_task-rest_run-1_bold,
dvars_std,1.0321473978840583,sub-20_ses-2_task-similarity_run-1_bold,
dvars_std,1.0430887636918609,sub-20_ses-2_task-similarity_run-2_bold,
dvars_std,1.0360889215483864,sub-25_ses-1_task-encoding_run-1_bold,
dvars_std,0.9635152603896106,sub-25_ses-1_task-encoding_run-2_bold,
dvars_std,1.0209889603896107,sub-25_ses-1_task-encoding_run-3_bold,
dvars_std,1.0245789343225795,sub-25_ses-1_task-encoding_run-4_bold,
dvars_std,1.0401116779870123,sub-25_ses-1_task-encoding_run-5_bold,
dvars_std,1.034916672467533,sub-25_ses-1_task-encoding_run-6_bold,
dvars_std,1.039078805294118,sub-25_ses-1_task-encoding_run-7_bold,
dvars_std,1.031184916038961,sub-25_ses-1_task-encoding_run-8_bold,
dvars_std,1.0372658769886365,sub-25_ses-1_task-rest_run-1_bold,
dvars_std,1.0251952341807906,sub-25_ses-1_task-rest_run-2_bold,
dvars_std,1.0010680132361518,sub-25_ses-1_task-similarity_run-1_bold,
dvars_std,1.019421607405248,sub-25_ses-1_task-similarity_run-2_bold,
dvars_std,1.043222600258065,sub-25_ses-2_task-encoding_run-1_bold,
dvars_std,1.0422779157792208,sub-25_ses-2_task-encoding_run-2_bold,
dvars_std,1.058887035947712,sub-25_ses-2_task-encoding_run-3_bold,
dvars_std,1.0586374501298703,sub-25_ses-2_task-encoding_run-4_bold,
dvars_std,1.0372950233548386,sub-25_ses-2_task-encoding_run-5_bold,
dvars_std,1.0511874944805195,sub-25_ses-2_task-encoding_run-6_bold,
dvars_std,1.0640268500653596,sub-25_ses-2_task-encoding_run-7_bold,
dvars_std,1.051578172763158,sub-25_ses-2_task-encoding_run-8_bold,
dvars_std,1.0450194683908045,sub-25_ses-2_task-rest_run-1_bold,
dvars_std,1.0005433700872084,sub-25_ses-2_task-similarity_run-1_bold,
dvars_std,1.03895419,sub-25_ses-2_task-similarity_run-2_bold,
dvars_std,1.064088424090909,sub-26_ses-1_task-encoding_run-1_bold,
dvars_std,1.061989779935065,sub-26_ses-1_task-encoding_run-2_bold,
dvars_std,1.040836243483871,sub-26_ses-1_task-encoding_run-3_bold,
dvars_std,1.0485996394805193,sub-26_ses-1_task-encoding_run-4_bold,
dvars_std,1.0085999554838707,sub-26_ses-1_task-encoding_run-5_bold,
dvars_std,1.0312507521935483,sub-26_ses-1_task-encoding_run-6_bold,
dvars_std,1.058049870064935,sub-26_ses-1_task-encoding_run-7_bold,
dvars_std,1.0460848133548384,sub-26_ses-1_task-encoding_run-8_bold,
dvars_std,1.022388656875,sub-26_ses-1_task-rest_run-1_bold,
dvars_std,1.0566349619886364,sub-26_ses-1_task-rest_run-2_bold,
dvars_std,1.0184814617732565,sub-26_ses-1_task-similarity_run-1_bold,
dvars_std,1.0544269727536235,sub-26_ses-1_task-similarity_run-2_bold,
dvars_std,1.0194601151298694,sub-26_ses-2_task-encoding_run-1_bold,
dvars_std,1.027379839025974,sub-26_ses-2_task-encoding_run-2_bold,
dvars_std,1.0224046589610396,sub-26_ses-2_task-encoding_run-3_bold,
dvars_std,1.0328976025974024,sub-26_ses-2_task-encoding_run-4_bold,
dvars_std,1.0297594937419354,sub-26_ses-2_task-encoding_run-5_bold,
dvars_std,1.027998083483871,sub-26_ses-2_task-encoding_run-6_bold,
dvars_std,1.0349499490259737,sub-26_ses-2_task-encoding_run-7_bold,
dvars_std,1.0335215645161298,sub-26_ses-2_task-encoding_run-8_bold,
dvars_std,1.0349659642285716,sub-26_ses-2_task-rest_run-1_bold,
dvars_std,1.0305410054651167,sub-26_ses-2_task-similarity_run-1_bold,
dvars_std,1.027671117565217,sub-26_ses-2_task-similarity_run-2_bold,
dvars_std,1.066045049419355,sub-27_ses-1_task-encoding_run-1_bold,
dvars_std,1.0712189698709682,sub-27_ses-1_task-encoding_run-2_bold,
dvars_std,1.064386197922078,sub-27_ses-1_task-encoding_run-3_bold,
dvars_std,1.063046893806452,sub-27_ses-1_task-encoding_run-4_bold,
dvars_std,1.050491817032258,sub-27_ses-1_task-encoding_run-5_bold,
dvars_std,1.0443449211612894,sub-27_ses-1_task-encoding_run-6_bold,
dvars_std,1.0323550904516128,sub-27_ses-1_task-encoding_run-7_bold,
dvars_std,1.0275621519354847,sub-27_ses-1_task-encoding_run-8_bold,
dvars_std,1.0559871694350285,sub-27_ses-1_task-rest_run-1_bold,
dvars_std,1.0542681462146894,sub-27_ses-1_task-rest_run-2_bold,
dvars_std,1.0599253384057967,sub-27_ses-1_task-similarity_run-1_bold,
dvars_std,1.1672402739710142,sub-27_ses-1_task-similarity_run-2_bold,
dvars_std,1.0407916749677415,sub-27_ses-2_task-encoding_run-1_bold,
dvars_std,1.0536508369677424,sub-27_ses-2_task-encoding_run-2_bold,
dvars_std,1.0543790636129031,sub-27_ses-2_task-encoding_run-3_bold,
dvars_std,1.0602596482580644,sub-27_ses-2_task-encoding_run-4_bold,
dvars_std,1.0356562374838714,sub-27_ses-2_task-encoding_run-5_bold,
dvars_std,1.052256069935484,sub-27_ses-2_task-encoding_run-6_bold,
dvars_std,1.055587781870968,sub-27_ses-2_task-encoding_run-7_bold,
dvars_std,1.0571108164516123,sub-27_ses-2_task-encoding_run-8_bold,
dvars_std,1.0609013178651685,sub-27_ses-2_task-rest_run-1_bold,
dvars_std,0.9995839709275368,sub-27_ses-2_task-similarity_run-1_bold,
dvars_std,1.0501744822543355,sub-27_ses-2_task-similarity_run-2_bold,
dvars_std,1.0791328527096782,sub-28_ses-1_task-encoding_run-1_bold,
dvars_std,1.076942490258065,sub-28_ses-1_task-encoding_run-2_bold,
dvars_std,1.1101174738709678,sub-28_ses-1_task-encoding_run-3_bold,
dvars_std,1.019190621578947,sub-28_ses-1_task-encoding_run-4_bold,
dvars_std,1.0661742703225805,sub-28_ses-1_task-encoding_run-5_bold,
dvars_std,1.07335441683871,sub-28_ses-1_task-encoding_run-6_bold,
dvars_std,1.0735698558709676,sub-28_ses-1_task-encoding_run-7_bold,
dvars_std,1.0657841946451612,sub-28_ses-1_task-encoding_run-8_bold,
dvars_std,1.0648401295480228,sub-28_ses-1_task-rest_run-1_bold,
dvars_std,1.0815398168361583,sub-28_ses-1_task-rest_run-2_bold,
dvars_std,1.0466926341449276,sub-28_ses-1_task-similarity_run-1_bold,
dvars_std,1.0657393910787174,sub-28_ses-1_task-similarity_run-2_bold,
dvars_std,1.0022654819354844,sub-28_ses-2_task-encoding_run-1_bold,
dvars_std,1.0153000198064512,sub-28_ses-2_task-encoding_run-2_bold,
dvars_std,1.0099890582580642,sub-28_ses-2_task-encoding_run-3_bold,
dvars_std,1.030883143246753,sub-28_ses-2_task-encoding_run-4_bold,
dvars_std,1.0289335156774195,sub-28_ses-2_task-encoding_run-5_bold,
dvars_std,1.0404945005228754,sub-28_ses-2_task-encoding_run-6_bold,
dvars_std,1.0183291505161287,sub-28_ses-2_task-encoding_run-7_bold,
dvars_std,1.0223939261935484,sub-28_ses-2_task-encoding_run-8_bold,
dvars_std,1.0347295436363633,sub-28_ses-2_task-rest_run-1_bold,
dvars_std,1.0369020163188398,sub-28_ses-2_task-similarity_run-1_bold,
dvars_std,1.0218416427826085,sub-28_ses-2_task-similarity_run-2_bold,
dvars_vstd,1.000552997337662,sub-01_ses-1_task-encoding_run-1_bold,
dvars_vstd,0.9759828637012984,sub-01_ses-1_task-encoding_run-2_bold,
dvars_vstd,0.9574822221935482,sub-01_ses-1_task-encoding_run-3_bold,
dvars_vstd,0.9886802073376626,sub-01_ses-1_task-encoding_run-4_bold,
dvars_vstd,0.970464366258064,sub-01_ses-1_task-encoding_run-5_bold,
dvars_vstd,0.9666289705161288,sub-01_ses-1_task-encoding_run-6_bold,
dvars_vstd,1.0054848578709668,sub-01_ses-1_task-encoding_run-7_bold,
dvars_vstd,1.0088662383116886,sub-01_ses-1_task-encoding_run-8_bold,
dvars_vstd,0.9457488830681822,sub-01_ses-1_task-rest_run-1_bold,
dvars_vstd,0.9534237138372104,sub-01_ses-1_task-similarity_run-1_bold,
dvars_vstd,0.9239075809302324,sub-01_ses-1_task-similarity_run-2_bold,
dvars_vstd,1.0009261030967742,sub-01_ses-2_task-encoding_run-1_bold,
dvars_vstd,1.0043848716129038,sub-01_ses-2_task-encoding_run-2_bold,
dvars_vstd,1.0009446727741935,sub-01_ses-2_task-encoding_run-3_bold,
dvars_vstd,1.0085060130322585,sub-01_ses-2_task-encoding_run-4_bold,
dvars_vstd,0.9963372978064524,sub-01_ses-2_task-encoding_run-5_bold,
dvars_vstd,0.9955943872258068,sub-01_ses-2_task-encoding_run-6_bold,
dvars_vstd,0.9836048456493498,sub-01_ses-2_task-encoding_run-7_bold,
dvars_vstd,0.9764148501298708,sub-01_ses-2_task-encoding_run-8_bold,
dvars_vstd,1.0062249298863633,sub-01_ses-2_task-rest_run-1_bold,
dvars_vstd,0.9442768555072468,sub-01_ses-2_task-similarity_run-1_bold,
dvars_vstd,0.9714051428115942,sub-01_ses-2_task-similarity_run-2_bold,
dvars_vstd,0.9996142850322584,sub-02_ses-1_task-encoding_run-1_bold,
dvars_vstd,0.9860889512337664,sub-02_ses-1_task-encoding_run-2_bold,
dvars_vstd,1.0096432022077928,sub-02_ses-1_task-encoding_run-3_bold,
dvars_vstd,1.0078144327922085,sub-02_ses-1_task-encoding_run-4_bold,
dvars_vstd,1.0208036815686274,sub-02_ses-1_task-encoding_run-5_bold,
dvars_vstd,1.0129081135064937,sub-02_ses-1_task-encoding_run-6_bold,
dvars_vstd,1.0120141430519485,sub-02_ses-1_task-encoding_run-7_bold,
dvars_vstd,0.9934491112337664,sub-02_ses-1_task-encoding_run-8_bold,
dvars_vstd,0.9941774971751408,sub-02_ses-1_task-rest_run-1_bold,
dvars_vstd,0.9537131771022724,sub-02_ses-1_task-rest_run-2_bold,
dvars_vstd,0.973315659275361,sub-02_ses-1_task-similarity_run-1_bold,
dvars_vstd,0.9766621941449274,sub-02_ses-1_task-similarity_run-2_bold,
dvars_vstd,1.0038749881168822,sub-02_ses-2_task-encoding_run-1_bold,
dvars_vstd,1.0071733477272728,sub-02_ses-2_task-encoding_run-2_bold,
dvars_vstd,0.9985967470322572,sub-02_ses-2_task-encoding_run-3_bold,
dvars_vstd,1.0051562500645157,sub-02_ses-2_task-encoding_run-4_bold,
dvars_vstd,1.0126572968181822,sub-02_ses-2_task-encoding_run-5_bold,
dvars_vstd,1.0036974363870967,sub-02_ses-2_task-encoding_run-6_bold,
dvars_vstd,1.0180148056000002,sub-02_ses-2_task-encoding_run-7_bold,
dvars_vstd,1.0067392536129036,sub-02_ses-2_task-encoding_run-8_bold,
dvars_vstd,1.020508434394904,sub-02_ses-2_task-rest_run-1_bold,
dvars_vstd,0.9829937762028984,sub-02_ses-2_task-similarity_run-1_bold,
dvars_vstd,1.0010366284011631,sub-02_ses-2_task-similarity_run-2_bold,
dvars_vstd,1.0140583614935066,sub-03_ses-1_task-encoding_run-1_bold,
dvars_vstd,1.0098887988311689,sub-03_ses-1_task-encoding_run-2_bold,
dvars_vstd,1.0079679809210529,sub-03_ses-1_task-encoding_run-3_bold,
dvars_vstd,1.004957036601307,sub-03_ses-1_task-encoding_run-4_bold,
dvars_vstd,1.013787929281046,sub-03_ses-1_task-encoding_run-5_bold,
dvars_vstd,1.0092298912987012,sub-03_ses-1_task-encoding_run-6_bold,
dvars_vstd,0.9973213275483872,sub-03_ses-1_task-encoding_run-7_bold,
dvars_vstd,1.013907653725491,sub-03_ses-1_task-encoding_run-8_bold,
dvars_vstd,1.0036358861363637,sub-03_ses-1_task-rest_run-1_bold,
dvars_vstd,1.0070319226136368,sub-03_ses-1_task-rest_run-2_bold,
dvars_vstd,1.0074439028405782,sub-03_ses-1_task-similarity_run-1_bold,
dvars_vstd,1.0069990733430236,sub-03_ses-1_task-similarity_run-2_bold,
dvars_vstd,1.0066472594805198,sub-03_ses-2_task-encoding_run-1_bold,
dvars_vstd,1.00665393525974,sub-03_ses-2_task-encoding_run-2_bold,
dvars_vstd,1.0037645003870972,sub-03_ses-2_task-encoding_run-3_bold,
dvars_vstd,1.0077210029870132,sub-03_ses-2_task-encoding_run-4_bold,
dvars_vstd,1.0139958613636364,sub-03_ses-2_task-encoding_run-5_bold,
dvars_vstd,1.0124263327272724,sub-03_ses-2_task-encoding_run-6_bold,
dvars_vstd,1.0031311214285714,sub-03_ses-2_task-encoding_run-7_bold,
dvars_vstd,1.0129864527272727,sub-03_ses-2_task-encoding_run-8_bold,
dvars_vstd,1.0207986400568183,sub-03_ses-2_task-rest_run-1_bold,
dvars_vstd,0.9954901945058144,sub-03_ses-2_task-similarity_run-1_bold,
dvars_vstd,1.0067519242318843,sub-03_ses-2_task-similarity_run-2_bold,
dvars_vstd,0.9903229857792208,sub-04_ses-1_task-encoding_run-1_bold,
dvars_vstd,1.009066119805195,sub-04_ses-1_task-encoding_run-2_bold,
dvars_vstd,1.0126052455555554,sub-04_ses-1_task-encoding_run-3_bold,
dvars_vstd,1.008400390324675,sub-04_ses-1_task-encoding_run-4_bold,
dvars_vstd,0.9996387469480524,sub-04_ses-1_task-encoding_run-5_bold,
dvars_vstd,1.0039448703246754,sub-04_ses-1_task-encoding_run-6_bold,
dvars_vstd,1.0043578514935063,sub-04_ses-1_task-encoding_run-7_bold,
dvars_vstd,0.9951846543225804,sub-04_ses-1_task-encoding_run-8_bold,
dvars_vstd,1.0266697125423727,sub-04_ses-1_task-rest_run-1_bold,
dvars_vstd,1.0138946576704546,sub-04_ses-1_task-rest_run-2_bold,
dvars_vstd,0.9809828993604642,sub-04_ses-1_task-similarity_run-1_bold,
dvars_vstd,1.009568075159421,sub-04_ses-1_task-similarity_run-2_bold,
dvars_vstd,1.0007663235483872,sub-04_ses-2_task-encoding_run-1_bold,
dvars_vstd,1.0042166564516126,sub-04_ses-2_task-encoding_run-2_bold,
dvars_vstd,0.9950600924675318,sub-04_ses-2_task-encoding_run-3_bold,
dvars_vstd,0.9976070781168832,sub-04_ses-2_task-encoding_run-4_bold,
dvars_vstd,1.0102188511688308,sub-04_ses-2_task-encoding_run-5_bold,
dvars_vstd,1.0031077298051945,sub-04_ses-2_task-encoding_run-6_bold,
dvars_vstd,1.0021239287012982,sub-04_ses-2_task-encoding_run-7_bold,
dvars_vstd,1.0007701224025969,sub-04_ses-2_task-encoding_run-8_bold,
dvars_vstd,1.0087925577840913,sub-04_ses-2_task-rest_run-1_bold,
dvars_vstd,0.9976602132848852,sub-04_ses-2_task-similarity_run-1_bold,
dvars_vstd,0.9937696530612246,sub-04_ses-2_task-similarity_run-2_bold,
dvars_vstd,1.0269611287096774,sub-06_ses-1_task-encoding_run-1_bold,
dvars_vstd,1.012604442922078,sub-06_ses-1_task-encoding_run-2_bold,
dvars_vstd,0.9834260742580648,sub-06_ses-1_task-encoding_run-3_bold,
dvars_vstd,1.012607192987013,sub-06_ses-1_task-encoding_run-4_bold,
dvars_vstd,1.0359676598064516,sub-06_ses-1_task-encoding_run-5_bold,
dvars_vstd,1.025014091176471,sub-06_ses-1_task-encoding_run-6_bold,
dvars_vstd,1.0193033119480526,sub-06_ses-1_task-encoding_run-7_bold,
dvars_vstd,1.0220796294805188,sub-06_ses-1_task-encoding_run-8_bold,
dvars_vstd,0.9967296635227276,sub-06_ses-1_task-rest_run-1_bold,
dvars_vstd,1.054127285337079,sub-06_ses-1_task-rest_run-2_bold,
dvars_vstd,0.994356758924419,sub-06_ses-1_task-similarity_run-1_bold,
dvars_vstd,0.992766650115942,sub-06_ses-1_task-similarity_run-2_bold,
dvars_vstd,0.9843472741558442,sub-06_ses-2_task-encoding_run-1_bold,
dvars_vstd,1.0011554923376622,sub-06_ses-2_task-encoding_run-2_bold,
dvars_vstd,1.0082726818709682,sub-06_ses-2_task-encoding_run-3_bold,
dvars_vstd,0.963030442709678,sub-06_ses-2_task-encoding_run-4_bold,
dvars_vstd,1.010665791103896,sub-06_ses-2_task-encoding_run-5_bold,
dvars_vstd,1.0342334582352937,sub-06_ses-2_task-encoding_run-6_bold,
dvars_vstd,1.016430833612903,sub-06_ses-2_task-encoding_run-7_bold,
dvars_vstd,0.9880461994193548,sub-06_ses-2_task-encoding_run-8_bold,
dvars_vstd,1.010091889265536,sub-06_ses-2_task-rest_run-1_bold,
dvars_vstd,0.9971311034011628,sub-06_ses-2_task-similarity_run-1_bold,
dvars_vstd,0.9447067497674424,sub-06_ses-2_task-similarity_run-2_bold,
dvars_vstd,1.0023043573548387,sub-08_ses-1_task-encoding_run-1_bold,
dvars_vstd,1.0086555046103898,sub-08_ses-1_task-encoding_run-2_bold,
dvars_vstd,1.00411885512987,sub-08_ses-1_task-encoding_run-3_bold,
dvars_vstd,1.001361947032258,sub-08_ses-1_task-encoding_run-4_bold,
dvars_vstd,0.9930640792903228,sub-08_ses-1_task-encoding_run-5_bold,
dvars_vstd,1.0137171237662332,sub-08_ses-1_task-encoding_run-6_bold,
dvars_vstd,1.009013246363636,sub-08_ses-1_task-encoding_run-7_bold,
dvars_vstd,1.0011335549032256,sub-08_ses-1_task-encoding_run-8_bold,
dvars_vstd,1.0062047599431825,sub-08_ses-1_task-rest_run-1_bold,
dvars_vstd,1.0175224493220345,sub-08_ses-1_task-rest_run-2_bold,
dvars_vstd,0.9972447386956524,sub-08_ses-1_task-similarity_run-1_bold,
dvars_vstd,1.0145105606956522,sub-08_ses-1_task-similarity_run-2_bold,
dvars_vstd,1.0018192666451609,sub-08_ses-2_task-encoding_run-1_bold,
dvars_vstd,1.004363084129032,sub-08_ses-2_task-encoding_run-2_bold,
dvars_vstd,1.014158244387097,sub-08_ses-2_task-encoding_run-3_bold,
dvars_vstd,1.00414399283871,sub-08_ses-2_task-encoding_run-4_bold,
dvars_vstd,1.0082356905194805,sub-08_ses-2_task-encoding_run-5_bold,
dvars_vstd,1.0145849124675324,sub-08_ses-2_task-encoding_run-6_bold,
dvars_vstd,0.9897667467741934,sub-08_ses-2_task-encoding_run-7_bold,
dvars_vstd,0.9554988754193544,sub-08_ses-2_task-encoding_run-8_bold,
dvars_vstd,1.0179425564406777,sub-08_ses-2_task-rest_run-1_bold,
dvars_vstd,0.9911838112463776,sub-08_ses-2_task-similarity_run-1_bold,
dvars_vstd,1.0836968699999998,sub-08_ses-2_task-similarity_run-2_bold,
dvars_vstd,1.0084427937662337,sub-09_ses-1_task-encoding_run-1_bold,
dvars_vstd,1.015523195974026,sub-09_ses-1_task-encoding_run-2_bold,
dvars_vstd,1.0082210792207789,sub-09_ses-1_task-encoding_run-3_bold,
dvars_vstd,1.0124708171428571,sub-09_ses-1_task-encoding_run-4_bold,
dvars_vstd,1.0114255609740253,sub-09_ses-1_task-encoding_run-5_bold,
dvars_vstd,1.0031715901935483,sub-09_ses-1_task-encoding_run-6_bold,
dvars_vstd,1.0075205340259743,sub-09_ses-1_task-encoding_run-7_bold,
dvars_vstd,1.0044786823870968,sub-09_ses-1_task-encoding_run-8_bold,
dvars_vstd,1.0112033445197732,sub-09_ses-1_task-rest_run-1_bold,
dvars_vstd,1.0091439196590903,sub-09_ses-1_task-rest_run-2_bold,
dvars_vstd,0.9932093366569767,sub-09_ses-1_task-similarity_run-1_bold,
dvars_vstd,1.001895836540699,sub-09_ses-1_task-similarity_run-2_bold,
dvars_vstd,1.000667416967742,sub-09_ses-2_task-encoding_run-1_bold,
dvars_vstd,0.9977021525974028,sub-09_ses-2_task-encoding_run-2_bold,
dvars_vstd,1.0096060951298704,sub-09_ses-2_task-encoding_run-3_bold,
dvars_vstd,1.012098978571429,sub-09_ses-2_task-encoding_run-4_bold,
dvars_vstd,1.0060189033116889,sub-09_ses-2_task-encoding_run-5_bold,
dvars_vstd,1.007896387077922,sub-09_ses-2_task-encoding_run-6_bold,
dvars_vstd,1.019379542679739,sub-09_ses-2_task-encoding_run-7_bold,
dvars_vstd,1.0103489304545457,sub-09_ses-2_task-encoding_run-8_bold,
dvars_vstd,1.004096619431818,sub-09_ses-2_task-rest_run-1_bold,
dvars_vstd,0.9906388578197678,sub-09_ses-2_task-similarity_run-1_bold,
dvars_vstd,0.9677316683139529,sub-09_ses-2_task-similarity_run-2_bold,
dvars_vstd,0.9943925435483868,sub-10_ses-1_task-encoding_run-1_bold,
dvars_vstd,1.0021254642207795,sub-10_ses-1_task-encoding_run-2_bold,
dvars_vstd,0.9949068212903234,sub-10_ses-1_task-encoding_run-3_bold,
dvars_vstd,1.006154709161291,sub-10_ses-1_task-encoding_run-4_bold,
dvars_vstd,1.0060544567741938,sub-10_ses-1_task-encoding_run-5_bold,
dvars_vstd,0.9939596736774192,sub-10_ses-1_task-encoding_run-6_bold,
dvars_vstd,0.9974554885161292,sub-10_ses-1_task-encoding_run-7_bold,
dvars_vstd,1.026104359673203,sub-10_ses-1_task-encoding_run-8_bold,
dvars_vstd,1.0111979553107349,sub-10_ses-1_task-rest_run-1_bold,
dvars_vstd,1.0173082128409086,sub-10_ses-1_task-rest_run-2_bold,
dvars_vstd,0.988561638895349,sub-10_ses-1_task-similarity_run-1_bold,
dvars_vstd,0.9784656820348844,sub-10_ses-1_task-similarity_run-2_bold,
dvars_vstd,0.9914476214193544,sub-10_ses-2_task-encoding_run-1_bold,
dvars_vstd,0.9972051442857144,sub-10_ses-2_task-encoding_run-2_bold,
dvars_vstd,0.9956772105161292,sub-10_ses-2_task-encoding_run-3_bold,
dvars_vstd,1.0123422225974024,sub-10_ses-2_task-encoding_run-4_bold,
dvars_vstd,1.005587068064516,sub-10_ses-2_task-encoding_run-5_bold,
dvars_vstd,0.9959707142580648,sub-10_ses-2_task-encoding_run-6_bold,
dvars_vstd,0.9947041576774192,sub-10_ses-2_task-encoding_run-7_bold,
dvars_vstd,1.0012365211688317,sub-10_ses-2_task-encoding_run-8_bold,
dvars_vstd,1.0109122451977406,sub-10_ses-2_task-rest_run-1_bold,
dvars_vstd,0.98877234755814,sub-10_ses-2_task-similarity_run-1_bold,
dvars_vstd,0.9854195616231884,sub-10_ses-2_task-similarity_run-2_bold,
dvars_vstd,1.002707808181818,sub-11_ses-1_task-encoding_run-1_bold,
dvars_vstd,0.9869360423225813,sub-11_ses-1_task-encoding_run-2_bold,
dvars_vstd,1.0451467769934646,sub-11_ses-1_task-encoding_run-3_bold,
dvars_vstd,1.0061952965584424,sub-11_ses-1_task-encoding_run-4_bold,
dvars_vstd,1.0185897698039212,sub-11_ses-1_task-encoding_run-5_bold,
dvars_vstd,1.011286305612903,sub-11_ses-1_task-encoding_run-6_bold,
dvars_vstd,0.997774506948052,sub-11_ses-1_task-encoding_run-7_bold,
dvars_vstd,1.0031996726451609,sub-11_ses-1_task-encoding_run-8_bold,
dvars_vstd,0.9950920856000002,sub-11_ses-1_task-rest_run-1_bold,
dvars_vstd,1.023025134350282,sub-11_ses-1_task-rest_run-2_bold,
dvars_vstd,0.9938321796511634,sub-11_ses-1_task-similarity_run-1_bold,
dvars_vstd,1.0586683318550725,sub-11_ses-1_task-similarity_run-2_bold,
dvars_vstd,1.0107350546103897,sub-11_ses-2_task-encoding_run-1_bold,
dvars_vstd,1.011805041806451,sub-11_ses-2_task-encoding_run-2_bold,
dvars_vstd,0.9998817705161298,sub-11_ses-2_task-encoding_run-3_bold,
dvars_vstd,0.9997967509032252,sub-11_ses-2_task-encoding_run-4_bold,
dvars_vstd,1.0049141665806454,sub-11_ses-2_task-encoding_run-5_bold,
dvars_vstd,1.0027317843225807,sub-11_ses-2_task-encoding_run-6_bold,
dvars_vstd,1.0099659049677423,sub-11_ses-2_task-encoding_run-7_bold,
dvars_vstd,1.0112611959354836,sub-11_ses-2_task-encoding_run-8_bold,
dvars_vstd,0.9909602778531073,sub-11_ses-2_task-rest_run-1_bold,
dvars_vstd,0.9914651701159416,sub-11_ses-2_task-similarity_run-1_bold,
dvars_vstd,0.9828628933139528,sub-11_ses-2_task-similarity_run-2_bold,
dvars_vstd,1.0019876281168831,sub-13_ses-1_task-encoding_run-1_bold,
dvars_vstd,1.0060307505194814,sub-13_ses-1_task-encoding_run-2_bold,
dvars_vstd,1.003296743311689,sub-13_ses-1_task-encoding_run-3_bold,
dvars_vstd,1.0158406830519486,sub-13_ses-1_task-encoding_run-4_bold,
dvars_vstd,1.0076324080519483,sub-13_ses-1_task-encoding_run-5_bold,
dvars_vstd,1.009841930714285,sub-13_ses-1_task-encoding_run-6_bold,
dvars_vstd,1.0107478781699348,sub-13_ses-1_task-encoding_run-7_bold,
dvars_vstd,1.0084592577272733,sub-13_ses-1_task-encoding_run-8_bold,
dvars_vstd,1.0032098510227268,sub-13_ses-1_task-rest_run-1_bold,
dvars_vstd,1.0166488109659093,sub-13_ses-1_task-rest_run-2_bold,
dvars_vstd,0.981472311836734,sub-13_ses-1_task-similarity_run-1_bold,
dvars_vstd,0.988169093517442,sub-13_ses-1_task-similarity_run-2_bold,
dvars_vstd,1.0023297907792208,sub-13_ses-2_task-encoding_run-1_bold,
dvars_vstd,1.005461428701299,sub-13_ses-2_task-encoding_run-2_bold,
dvars_vstd,1.0169099311111114,sub-13_ses-2_task-encoding_run-3_bold,
dvars_vstd,1.0068832848051943,sub-13_ses-2_task-encoding_run-4_bold,
dvars_vstd,1.0129644999346412,sub-13_ses-2_task-encoding_run-5_bold,
dvars_vstd,0.9984300970322584,sub-13_ses-2_task-encoding_run-6_bold,
dvars_vstd,1.0047820866883124,sub-13_ses-2_task-encoding_run-7_bold,
dvars_vstd,1.0171193837254902,sub-13_ses-2_task-encoding_run-8_bold,
dvars_vstd,1.0177416557062149,sub-13_ses-2_task-rest_run-1_bold,
dvars_vstd,1.0120168321574343,sub-13_ses-2_task-similarity_run-1_bold,
dvars_vstd,0.9971252370058143,sub-13_ses-2_task-similarity_run-2_bold,
dvars_vstd,0.9992779780645166,sub-14_ses-1_task-encoding_run-1_bold,
dvars_vstd,1.004845153466667,sub-14_ses-1_task-encoding_run-2_bold,
dvars_vstd,1.0027086732258057,sub-14_ses-1_task-encoding_run-3_bold,
dvars_vstd,1.0053232134838708,sub-14_ses-1_task-encoding_run-4_bold,
dvars_vstd,1.0022395563225803,sub-14_ses-1_task-encoding_run-5_bold,
dvars_vstd,1.020059993806451,sub-14_ses-1_task-encoding_run-6_bold,
dvars_vstd,1.0053511127741934,sub-14_ses-1_task-encoding_run-7_bold,
dvars_vstd,1.003184236387097,sub-14_ses-1_task-encoding_run-8_bold,
dvars_vstd,1.0076683152542374,sub-14_ses-1_task-rest_run-1_bold,
dvars_vstd,1.0080390990960455,sub-14_ses-1_task-rest_run-2_bold,
dvars_vstd,1.0098353530434785,sub-14_ses-1_task-similarity_run-1_bold,
dvars_vstd,1.0156978566086956,sub-14_ses-1_task-similarity_run-2_bold,
dvars_vstd,0.9833492034838704,sub-14_ses-2_task-encoding_run-1_bold,
dvars_vstd,1.00959456283871,sub-14_ses-2_task-encoding_run-2_bold,
dvars_vstd,1.008158878,sub-14_ses-2_task-encoding_run-3_bold,
dvars_vstd,1.0153440683333337,sub-14_ses-2_task-encoding_run-4_bold,
dvars_vstd,1.0099362791666668,sub-14_ses-2_task-encoding_run-5_bold,
dvars_vstd,1.0117809341935484,sub-14_ses-2_task-encoding_run-6_bold,
dvars_vstd,1.002424007419355,sub-14_ses-2_task-encoding_run-7_bold,
dvars_vstd,1.011503413205128,sub-14_ses-2_task-encoding_run-8_bold,
dvars_vstd,1.005108966327683,sub-14_ses-2_task-rest_run-1_bold,
dvars_vstd,1.0062806125217387,sub-14_ses-2_task-similarity_run-1_bold,
dvars_vstd,1.0091422300000004,sub-14_ses-2_task-similarity_run-2_bold,
dvars_vstd,0.9996723465161288,sub-16_ses-1_task-encoding_run-1_bold,
dvars_vstd,0.9821012349350652,sub-16_ses-1_task-encoding_run-2_bold,
dvars_vstd,0.9786367836774188,sub-16_ses-1_task-encoding_run-3_bold,
dvars_vstd,1.0094876724025976,sub-16_ses-1_task-encoding_run-4_bold,
dvars_vstd,0.994732382810457,sub-16_ses-1_task-encoding_run-5_bold,
dvars_vstd,1.0008976591612906,sub-16_ses-1_task-encoding_run-6_bold,
dvars_vstd,1.0111280765584412,sub-16_ses-1_task-encoding_run-7_bold,
dvars_vstd,0.9971465756774188,sub-16_ses-1_task-encoding_run-8_bold,
dvars_vstd,0.9966159627272724,sub-16_ses-1_task-rest_run-1_bold,
dvars_vstd,1.0156608031638423,sub-16_ses-1_task-rest_run-2_bold,
dvars_vstd,0.992794549504373,sub-16_ses-1_task-similarity_run-1_bold,
dvars_vstd,1.005508476405798,sub-16_ses-1_task-similarity_run-2_bold,
dvars_vstd,0.9993602616883108,sub-16_ses-2_task-encoding_run-1_bold,
dvars_vstd,0.9912939446451604,sub-16_ses-2_task-encoding_run-2_bold,
dvars_vstd,1.0033152932258065,sub-16_ses-2_task-encoding_run-3_bold,
dvars_vstd,0.972113878701298,sub-16_ses-2_task-encoding_run-4_bold,
dvars_vstd,1.0070357953896103,sub-16_ses-2_task-encoding_run-5_bold,
dvars_vstd,0.9420647833766232,sub-16_ses-2_task-encoding_run-6_bold,
dvars_vstd,1.015662788831169,sub-16_ses-2_task-encoding_run-7_bold,
dvars_vstd,0.9963459727096776,sub-16_ses-2_task-encoding_run-8_bold,
dvars_vstd,1.007675303068181,sub-16_ses-2_task-rest_run-1_bold,
dvars_vstd,0.987590255087209,sub-16_ses-2_task-similarity_run-1_bold,
dvars_vstd,0.9881304079651164,sub-16_ses-2_task-similarity_run-2_bold,
dvars_vstd,1.0013896280645156,sub-17_ses-1_task-encoding_run-1_bold,
dvars_vstd,0.978708341032258,sub-17_ses-1_task-encoding_run-2_bold,
dvars_vstd,0.9944420504516124,sub-17_ses-1_task-encoding_run-3_bold,
dvars_vstd,0.991708283870968,sub-17_ses-1_task-encoding_run-4_bold,
dvars_vstd,1.0038651938311685,sub-17_ses-1_task-encoding_run-5_bold,
dvars_vstd,0.9997968796753244,sub-17_ses-1_task-encoding_run-6_bold,
dvars_vstd,0.9829950920645156,sub-17_ses-1_task-encoding_run-7_bold,
dvars_vstd,0.9946264409740262,sub-17_ses-1_task-encoding_run-8_bold,
dvars_vstd,0.9672947876271184,sub-17_ses-1_task-rest_run-1_bold,
dvars_vstd,1.0010892153107342,sub-17_ses-1_task-rest_run-2_bold,
dvars_vstd,0.9849876773255812,sub-17_ses-1_task-similarity_run-1_bold,
dvars_vstd,1.009961048691861,sub-17_ses-1_task-similarity_run-2_bold,
dvars_vstd,0.9877694553548388,sub-17_ses-2_task-encoding_run-1_bold,
dvars_vstd,1.0106174353896102,sub-17_ses-2_task-encoding_run-2_bold,
dvars_vstd,0.998936117792207,sub-17_ses-2_task-encoding_run-3_bold,
dvars_vstd,0.989012184064516,sub-17_ses-2_task-encoding_run-4_bold,
dvars_vstd,1.0016120457792206,sub-17_ses-2_task-encoding_run-5_bold,
dvars_vstd,1.004183831558441,sub-17_ses-2_task-encoding_run-6_bold,
dvars_vstd,1.0136626112987015,sub-17_ses-2_task-encoding_run-7_bold,
dvars_vstd,1.0030084395454546,sub-17_ses-2_task-encoding_run-8_bold,
dvars_vstd,0.9861703465714284,sub-17_ses-2_task-rest_run-1_bold,
dvars_vstd,0.9768263149855072,sub-17_ses-2_task-similarity_run-1_bold,
dvars_vstd,0.9853336003188404,sub-17_ses-2_task-similarity_run-2_bold,
dvars_vstd,0.9974661681935484,sub-18_ses-1_task-encoding_run-1_bold,
dvars_vstd,1.0125035355194807,sub-18_ses-1_task-encoding_run-2_bold,
dvars_vstd,1.0299562910457514,sub-18_ses-1_task-encoding_run-3_bold,
dvars_vstd,1.0056745765359478,sub-18_ses-1_task-encoding_run-4_bold,
dvars_vstd,0.996075729090909,sub-18_ses-1_task-encoding_run-5_bold,
dvars_vstd,1.0017001501948055,sub-18_ses-1_task-encoding_run-6_bold,
dvars_vstd,1.0114688055844157,sub-18_ses-1_task-encoding_run-7_bold,
dvars_vstd,1.0085358173026313,sub-18_ses-1_task-encoding_run-8_bold,
dvars_vstd,0.988082270511364,sub-18_ses-1_task-rest_run-1_bold,
dvars_vstd,1.0030722727840908,sub-18_ses-1_task-rest_run-2_bold,
dvars_vstd,0.9491353742732568,sub-18_ses-1_task-similarity_run-1_bold,
dvars_vstd,0.9976236931395354,sub-18_ses-1_task-similarity_run-2_bold,
dvars_vstd,1.007405275389611,sub-18_ses-2_task-encoding_run-1_bold,
dvars_vstd,1.0071711028289478,sub-18_ses-2_task-encoding_run-2_bold,
dvars_vstd,1.0075992494805202,sub-18_ses-2_task-encoding_run-3_bold,
dvars_vstd,1.0081895168181825,sub-18_ses-2_task-encoding_run-4_bold,
dvars_vstd,1.0059822028387095,sub-18_ses-2_task-encoding_run-5_bold,
dvars_vstd,1.011922936558442,sub-18_ses-2_task-encoding_run-6_bold,
dvars_vstd,1.0103895972972978,sub-18_ses-2_task-encoding_run-7_bold,
dvars_vstd,1.0083129745454549,sub-18_ses-2_task-encoding_run-8_bold,
dvars_vstd,0.9992711759090912,sub-18_ses-2_task-rest_run-1_bold,
dvars_vstd,0.9540454571220932,sub-18_ses-2_task-similarity_run-1_bold,
dvars_vstd,0.9895011714285714,sub-18_ses-2_task-similarity_run-2_bold,
dvars_vstd,1.0027030155194805,sub-19_ses-1_task-encoding_run-1_bold,
dvars_vstd,1.006852952727273,sub-19_ses-1_task-encoding_run-2_bold,
dvars_vstd,1.0092904051298706,sub-19_ses-1_task-encoding_run-3_bold,
dvars_vstd,1.0100098722727275,sub-19_ses-1_task-encoding_run-4_bold,
dvars_vstd,1.006292130324676,sub-19_ses-1_task-encoding_run-5_bold,
dvars_vstd,0.9957480114285712,sub-19_ses-1_task-encoding_run-6_bold,
dvars_vstd,0.992033998896104,sub-19_ses-1_task-encoding_run-7_bold,
dvars_vstd,1.0230927317532463,sub-19_ses-1_task-encoding_run-8_bold,
dvars_vstd,1.0049311907386362,sub-19_ses-1_task-rest_run-1_bold,
dvars_vstd,1.010794762897727,sub-19_ses-1_task-rest_run-2_bold,
dvars_vstd,0.9870471681395346,sub-19_ses-1_task-similarity_run-1_bold,
dvars_vstd,1.002582914649122,sub-19_ses-1_task-similarity_run-2_bold,
dvars_vstd,0.9975238547741936,sub-19_ses-2_task-encoding_run-1_bold,
dvars_vstd,1.0049614179738564,sub-19_ses-2_task-encoding_run-2_bold,
dvars_vstd,1.0122263507792206,sub-19_ses-2_task-encoding_run-3_bold,
dvars_vstd,1.0047366349350653,sub-19_ses-2_task-encoding_run-4_bold,
dvars_vstd,1.005902587792208,sub-19_ses-2_task-encoding_run-5_bold,
dvars_vstd,1.0072959854193555,sub-19_ses-2_task-encoding_run-6_bold,
dvars_vstd,0.9954857519480518,sub-19_ses-2_task-encoding_run-7_bold,
dvars_vstd,1.0051253853548383,sub-19_ses-2_task-encoding_run-8_bold,
dvars_vstd,0.9985963559090908,sub-19_ses-2_task-rest_run-1_bold,
dvars_vstd,0.9921252670639532,sub-19_ses-2_task-similarity_run-1_bold,
dvars_vstd,0.996837222827989,sub-19_ses-2_task-similarity_run-2_bold,
dvars_vstd,1.007938898636364,sub-20_ses-1_task-encoding_run-1_bold,
dvars_vstd,1.0141125584313722,sub-20_ses-1_task-encoding_run-2_bold,
dvars_vstd,1.0049471528571428,sub-20_ses-1_task-encoding_run-3_bold,
dvars_vstd,1.001294944220779,sub-20_ses-1_task-encoding_run-4_bold,
dvars_vstd,0.992784898516129,sub-20_ses-1_task-encoding_run-5_bold,
dvars_vstd,0.9978378707741932,sub-20_ses-1_task-encoding_run-6_bold,
dvars_vstd,1.0026206866451612,sub-20_ses-1_task-encoding_run-7_bold,
dvars_vstd,1.0006525382467537,sub-20_ses-1_task-encoding_run-8_bold,
dvars_vstd,0.9946187106779668,sub-20_ses-1_task-rest_run-1_bold,
dvars_vstd,1.0086170228977276,sub-20_ses-1_task-rest_run-2_bold,
dvars_vstd,0.9779894773546504,sub-20_ses-1_task-similarity_run-1_bold,
dvars_vstd,0.9915499798546512,sub-20_ses-1_task-similarity_run-2_bold,
dvars_vstd,0.9597316600645168,sub-20_ses-2_task-encoding_run-1_bold,
dvars_vstd,0.999343723636364,sub-20_ses-2_task-encoding_run-2_bold,
dvars_vstd,1.0029412087662333,sub-20_ses-2_task-encoding_run-3_bold,
dvars_vstd,0.9914852329870136,sub-20_ses-2_task-encoding_run-4_bold,
dvars_vstd,1.01082454869281,sub-20_ses-2_task-encoding_run-5_bold,
dvars_vstd,1.0022221257142858,sub-20_ses-2_task-encoding_run-6_bold,
dvars_vstd,1.0061860618300649,sub-20_ses-2_task-encoding_run-7_bold,
dvars_vstd,0.9917752685806446,sub-20_ses-2_task-encoding_run-8_bold,
dvars_vstd,1.008686577683616,sub-20_ses-2_task-rest_run-1_bold,
dvars_vstd,0.9820237252463768,sub-20_ses-2_task-similarity_run-1_bold,
dvars_vstd,0.9990939077034884,sub-20_ses-2_task-similarity_run-2_bold,
dvars_vstd,1.0088263618064512,sub-25_ses-1_task-encoding_run-1_bold,
dvars_vstd,0.9613910966883118,sub-25_ses-1_task-encoding_run-2_bold,
dvars_vstd,0.99721239948052,sub-25_ses-1_task-encoding_run-3_bold,
dvars_vstd,0.9985012842580646,sub-25_ses-1_task-encoding_run-4_bold,
dvars_vstd,1.011686361623376,sub-25_ses-1_task-encoding_run-5_bold,
dvars_vstd,1.0091759679870127,sub-25_ses-1_task-encoding_run-6_bold,
dvars_vstd,1.0161985611111108,sub-25_ses-1_task-encoding_run-7_bold,
dvars_vstd,1.0071842291558442,sub-25_ses-1_task-encoding_run-8_bold,
dvars_vstd,1.0096544145454545,sub-25_ses-1_task-rest_run-1_bold,
dvars_vstd,1.0002715513559322,sub-25_ses-1_task-rest_run-2_bold,
dvars_vstd,0.9783385206414004,sub-25_ses-1_task-similarity_run-1_bold,
dvars_vstd,0.9934499997084556,sub-25_ses-1_task-similarity_run-2_bold,
dvars_vstd,1.0027013481935492,sub-25_ses-2_task-encoding_run-1_bold,
dvars_vstd,1.0057226372077923,sub-25_ses-2_task-encoding_run-2_bold,
dvars_vstd,1.0116957379084972,sub-25_ses-2_task-encoding_run-3_bold,
dvars_vstd,1.0130805680519477,sub-25_ses-2_task-encoding_run-4_bold,
dvars_vstd,0.9973976498064512,sub-25_ses-2_task-encoding_run-5_bold,
dvars_vstd,1.0097798850649349,sub-25_ses-2_task-encoding_run-6_bold,
dvars_vstd,1.01789530751634,sub-25_ses-2_task-encoding_run-7_bold,
dvars_vstd,1.0102149233552629,sub-25_ses-2_task-encoding_run-8_bold,
dvars_vstd,1.00134244408046,sub-25_ses-2_task-rest_run-1_bold,
dvars_vstd,0.9692970238953482,sub-25_ses-2_task-similarity_run-1_bold,
dvars_vstd,0.9990656095930224,sub-25_ses-2_task-similarity_run-2_bold,
dvars_vstd,1.0059663170129864,sub-26_ses-1_task-encoding_run-1_bold,
dvars_vstd,1.0166036496753246,sub-26_ses-1_task-encoding_run-2_bold,
dvars_vstd,0.9976991618709672,sub-26_ses-1_task-encoding_run-3_bold,
dvars_vstd,1.003990354025974,sub-26_ses-1_task-encoding_run-4_bold,
dvars_vstd,0.9710822240645164,sub-26_ses-1_task-encoding_run-5_bold,
dvars_vstd,0.9827479234838712,sub-26_ses-1_task-encoding_run-6_bold,
dvars_vstd,1.0113702744805195,sub-26_ses-1_task-encoding_run-7_bold,
dvars_vstd,1.0040839499354843,sub-26_ses-1_task-encoding_run-8_bold,
dvars_vstd,0.9799916233522727,sub-26_ses-1_task-rest_run-1_bold,
dvars_vstd,1.0091953381249996,sub-26_ses-1_task-rest_run-2_bold,
dvars_vstd,0.978215036511627,sub-26_ses-1_task-similarity_run-1_bold,
dvars_vstd,1.008830486144927,sub-26_ses-1_task-similarity_run-2_bold,
dvars_vstd,1.0061237294155845,sub-26_ses-2_task-encoding_run-1_bold,
dvars_vstd,1.009773497532468,sub-26_ses-2_task-encoding_run-2_bold,
dvars_vstd,1.003734827597402,sub-26_ses-2_task-encoding_run-3_bold,
dvars_vstd,1.010551588311688,sub-26_ses-2_task-encoding_run-4_bold,
dvars_vstd,1.0087190178064516,sub-26_ses-2_task-encoding_run-5_bold,
dvars_vstd,1.0082497041935474,sub-26_ses-2_task-encoding_run-6_bold,
dvars_vstd,1.0124808157142855,sub-26_ses-2_task-encoding_run-7_bold,
dvars_vstd,1.009122576129032,sub-26_ses-2_task-encoding_run-8_bold,
dvars_vstd,1.007355083828571,sub-26_ses-2_task-rest_run-1_bold,
dvars_vstd,1.0028471514244193,sub-26_ses-2_task-similarity_run-1_bold,
dvars_vstd,1.00130781605797,sub-26_ses-2_task-similarity_run-2_bold,
dvars_vstd,1.0045035205161292,sub-27_ses-1_task-encoding_run-1_bold,
dvars_vstd,1.0120670757419354,sub-27_ses-1_task-encoding_run-2_bold,
dvars_vstd,1.0125117588311685,sub-27_ses-1_task-encoding_run-3_bold,
dvars_vstd,1.009175331935484,sub-27_ses-1_task-encoding_run-4_bold,
dvars_vstd,1.0102570510967743,sub-27_ses-1_task-encoding_run-5_bold,
dvars_vstd,1.002254557870968,sub-27_ses-1_task-encoding_run-6_bold,
dvars_vstd,0.995982229225807,sub-27_ses-1_task-encoding_run-7_bold,
dvars_vstd,0.9911583176774196,sub-27_ses-1_task-encoding_run-8_bold,
dvars_vstd,0.9924062959322032,sub-27_ses-1_task-rest_run-1_bold,
dvars_vstd,1.0408609570056495,sub-27_ses-1_task-rest_run-2_bold,
dvars_vstd,0.9938671076231888,sub-27_ses-1_task-similarity_run-1_bold,
dvars_vstd,1.1658443051884058,sub-27_ses-1_task-similarity_run-2_bold,
dvars_vstd,0.9961648458709672,sub-27_ses-2_task-encoding_run-1_bold,
dvars_vstd,0.9970509362580652,sub-27_ses-2_task-encoding_run-2_bold,
dvars_vstd,0.9961966085161296,sub-27_ses-2_task-encoding_run-3_bold,
dvars_vstd,1.004920496580645,sub-27_ses-2_task-encoding_run-4_bold,
dvars_vstd,0.9876694999354836,sub-27_ses-2_task-encoding_run-5_bold,
dvars_vstd,1.0004974498064518,sub-27_ses-2_task-encoding_run-6_bold,
dvars_vstd,0.9991034597419358,sub-27_ses-2_task-encoding_run-7_bold,
dvars_vstd,1.0013743318709682,sub-27_ses-2_task-encoding_run-8_bold,
dvars_vstd,1.0160097465730331,sub-27_ses-2_task-rest_run-1_bold,
dvars_vstd,0.9744057553333332,sub-27_ses-2_task-similarity_run-1_bold,
dvars_vstd,1.0299632319364165,sub-27_ses-2_task-similarity_run-2_bold,
dvars_vstd,1.0169542662580644,sub-28_ses-1_task-encoding_run-1_bold,
dvars_vstd,1.0166556855483877,sub-28_ses-1_task-encoding_run-2_bold,
dvars_vstd,1.0521790850967738,sub-28_ses-1_task-encoding_run-3_bold,
dvars_vstd,0.9736404187499996,sub-28_ses-1_task-encoding_run-4_bold,
dvars_vstd,1.0066995232903224,sub-28_ses-1_task-encoding_run-5_bold,
dvars_vstd,1.0206798076129038,sub-28_ses-1_task-encoding_run-6_bold,
dvars_vstd,1.0147862154838714,sub-28_ses-1_task-encoding_run-7_bold,
dvars_vstd,1.010716353935484,sub-28_ses-1_task-encoding_run-8_bold,
dvars_vstd,1.0145491723728817,sub-28_ses-1_task-rest_run-1_bold,
dvars_vstd,1.0227631270056494,sub-28_ses-1_task-rest_run-2_bold,
dvars_vstd,0.9969319014202902,sub-28_ses-1_task-similarity_run-1_bold,
dvars_vstd,1.0041819358017483,sub-28_ses-1_task-similarity_run-2_bold,
dvars_vstd,0.998442955741936,sub-28_ses-2_task-encoding_run-1_bold,
dvars_vstd,1.0105894380645162,sub-28_ses-2_task-encoding_run-2_bold,
dvars_vstd,1.0052483811612902,sub-28_ses-2_task-encoding_run-3_bold,
dvars_vstd,1.017573151818182,sub-28_ses-2_task-encoding_run-4_bold,
dvars_vstd,1.014152528516129,sub-28_ses-2_task-encoding_run-5_bold,
dvars_vstd,1.0266261282352949,sub-28_ses-2_task-encoding_run-6_bold,
dvars_vstd,1.0056402127096766,sub-28_ses-2_task-encoding_run-7_bold,
dvars_vstd,1.009866609354839,sub-28_ses-2_task-encoding_run-8_bold,
dvars_vstd,1.0186361477840904,sub-28_ses-2_task-rest_run-1_bold,
dvars_vstd,1.0140165277681168,sub-28_ses-2_task-similarity_run-1_bold,
dvars_vstd,1.006077453362319,sub-28_ses-2_task-similarity_run-2_bold,
</pre>
<div class="chart-wrapper" id="chart-group6"></div>
<pre class="csvdata" id="data-csv6" style="display: none">
iqm,value,label,units
dvars_nstd,38.66641165935064,sub-01_ses-1_task-encoding_run-1_bold,
dvars_nstd,39.40572557831169,sub-01_ses-1_task-encoding_run-2_bold,
dvars_nstd,39.247526452258064,sub-01_ses-1_task-encoding_run-3_bold,
dvars_nstd,38.10332253707792,sub-01_ses-1_task-encoding_run-4_bold,
dvars_nstd,37.85302173251611,sub-01_ses-1_task-encoding_run-5_bold,
dvars_nstd,38.252207356129055,sub-01_ses-1_task-encoding_run-6_bold,
dvars_nstd,37.849492645290326,sub-01_ses-1_task-encoding_run-7_bold,
dvars_nstd,37.71934130266235,sub-01_ses-1_task-encoding_run-8_bold,
dvars_nstd,38.73136444556816,sub-01_ses-1_task-rest_run-1_bold,
dvars_nstd,39.37858109136623,sub-01_ses-1_task-similarity_run-1_bold,
dvars_nstd,39.62385938305233,sub-01_ses-1_task-similarity_run-2_bold,
dvars_nstd,37.92688655232258,sub-01_ses-2_task-encoding_run-1_bold,
dvars_nstd,38.236762951354834,sub-01_ses-2_task-encoding_run-2_bold,
dvars_nstd,37.77024324477418,sub-01_ses-2_task-encoding_run-3_bold,
dvars_nstd,37.84088316916131,sub-01_ses-2_task-encoding_run-4_bold,
dvars_nstd,39.07020947800002,sub-01_ses-2_task-encoding_run-5_bold,
dvars_nstd,36.37328338599999,sub-01_ses-2_task-encoding_run-6_bold,
dvars_nstd,37.151022328961055,sub-01_ses-2_task-encoding_run-7_bold,
dvars_nstd,36.77393834006494,sub-01_ses-2_task-encoding_run-8_bold,
dvars_nstd,36.559212099375024,sub-01_ses-2_task-rest_run-1_bold,
dvars_nstd,36.60487366814492,sub-01_ses-2_task-similarity_run-1_bold,
dvars_nstd,36.96120414202898,sub-01_ses-2_task-similarity_run-2_bold,
dvars_nstd,40.61985936316128,sub-02_ses-1_task-encoding_run-1_bold,
dvars_nstd,40.640444867013,sub-02_ses-1_task-encoding_run-2_bold,
dvars_nstd,40.75032313435064,sub-02_ses-1_task-encoding_run-3_bold,
dvars_nstd,40.74950555123376,sub-02_ses-1_task-encoding_run-4_bold,
dvars_nstd,40.49656983915031,sub-02_ses-1_task-encoding_run-5_bold,
dvars_nstd,40.673122182922086,sub-02_ses-1_task-encoding_run-6_bold,
dvars_nstd,40.426949934480525,sub-02_ses-1_task-encoding_run-7_bold,
dvars_nstd,40.60143317194804,sub-02_ses-1_task-encoding_run-8_bold,
dvars_nstd,42.25764254175142,sub-02_ses-1_task-rest_run-1_bold,
dvars_nstd,41.09980396818182,sub-02_ses-1_task-rest_run-2_bold,
dvars_nstd,41.21566846559418,sub-02_ses-1_task-similarity_run-1_bold,
dvars_nstd,41.22949183356519,sub-02_ses-1_task-similarity_run-2_bold,
dvars_nstd,43.48984975909091,sub-02_ses-2_task-encoding_run-1_bold,
dvars_nstd,42.6731257251299,sub-02_ses-2_task-encoding_run-2_bold,
dvars_nstd,42.62214114251612,sub-02_ses-2_task-encoding_run-3_bold,
dvars_nstd,42.09564952212905,sub-02_ses-2_task-encoding_run-4_bold,
dvars_nstd,42.10061127798701,sub-02_ses-2_task-encoding_run-5_bold,
dvars_nstd,41.71110172870967,sub-02_ses-2_task-encoding_run-6_bold,
dvars_nstd,41.98794865939999,sub-02_ses-2_task-encoding_run-7_bold,
dvars_nstd,41.89660920167744,sub-02_ses-2_task-encoding_run-8_bold,
dvars_nstd,41.351858637261145,sub-02_ses-2_task-rest_run-1_bold,
dvars_nstd,41.9620475548116,sub-02_ses-2_task-similarity_run-1_bold,
dvars_nstd,41.74274953607561,sub-02_ses-2_task-similarity_run-2_bold,
dvars_nstd,44.14488950974025,sub-03_ses-1_task-encoding_run-1_bold,
dvars_nstd,43.5598129912987,sub-03_ses-1_task-encoding_run-2_bold,
dvars_nstd,43.9849735311842,sub-03_ses-1_task-encoding_run-3_bold,
dvars_nstd,44.00541273130722,sub-03_ses-1_task-encoding_run-4_bold,
dvars_nstd,43.42287345352944,sub-03_ses-1_task-encoding_run-5_bold,
dvars_nstd,43.81313737636362,sub-03_ses-1_task-encoding_run-6_bold,
dvars_nstd,43.03397170070968,sub-03_ses-1_task-encoding_run-7_bold,
dvars_nstd,43.326812793529406,sub-03_ses-1_task-encoding_run-8_bold,
dvars_nstd,43.89560001551135,sub-03_ses-1_task-rest_run-1_bold,
dvars_nstd,43.52010247937499,sub-03_ses-1_task-rest_run-2_bold,
dvars_nstd,44.476398766376775,sub-03_ses-1_task-similarity_run-1_bold,
dvars_nstd,43.56672299186046,sub-03_ses-1_task-similarity_run-2_bold,
dvars_nstd,46.92290898142858,sub-03_ses-2_task-encoding_run-1_bold,
dvars_nstd,47.98881050175324,sub-03_ses-2_task-encoding_run-2_bold,
dvars_nstd,49.43226411890321,sub-03_ses-2_task-encoding_run-3_bold,
dvars_nstd,49.5065548144156,sub-03_ses-2_task-encoding_run-4_bold,
dvars_nstd,49.78475015811687,sub-03_ses-2_task-encoding_run-5_bold,
dvars_nstd,50.96150061357143,sub-03_ses-2_task-encoding_run-6_bold,
dvars_nstd,50.41422928175325,sub-03_ses-2_task-encoding_run-7_bold,
dvars_nstd,50.79439943480521,sub-03_ses-2_task-encoding_run-8_bold,
dvars_nstd,49.6160290027841,sub-03_ses-2_task-rest_run-1_bold,
dvars_nstd,51.62391334360464,sub-03_ses-2_task-similarity_run-1_bold,
dvars_nstd,49.75092049185509,sub-03_ses-2_task-similarity_run-2_bold,
dvars_nstd,37.07433745162337,sub-04_ses-1_task-encoding_run-1_bold,
dvars_nstd,35.70966819681817,sub-04_ses-1_task-encoding_run-2_bold,
dvars_nstd,36.859692567254896,sub-04_ses-1_task-encoding_run-3_bold,
dvars_nstd,38.17089239331171,sub-04_ses-1_task-encoding_run-4_bold,
dvars_nstd,38.55002170428571,sub-04_ses-1_task-encoding_run-5_bold,
dvars_nstd,38.00546447922077,sub-04_ses-1_task-encoding_run-6_bold,
dvars_nstd,38.40700057850649,sub-04_ses-1_task-encoding_run-7_bold,
dvars_nstd,38.65614771670968,sub-04_ses-1_task-encoding_run-8_bold,
dvars_nstd,36.650656080226,sub-04_ses-1_task-rest_run-1_bold,
dvars_nstd,37.99948672795452,sub-04_ses-1_task-rest_run-2_bold,
dvars_nstd,35.929951700872074,sub-04_ses-1_task-similarity_run-1_bold,
dvars_nstd,37.20801589521737,sub-04_ses-1_task-similarity_run-2_bold,
dvars_nstd,36.5789786060645,sub-04_ses-2_task-encoding_run-1_bold,
dvars_nstd,36.25888100870969,sub-04_ses-2_task-encoding_run-2_bold,
dvars_nstd,36.28966532116883,sub-04_ses-2_task-encoding_run-3_bold,
dvars_nstd,35.9523920335065,sub-04_ses-2_task-encoding_run-4_bold,
dvars_nstd,36.0624219472078,sub-04_ses-2_task-encoding_run-5_bold,
dvars_nstd,36.032848878181824,sub-04_ses-2_task-encoding_run-6_bold,
dvars_nstd,36.0538530225974,sub-04_ses-2_task-encoding_run-7_bold,
dvars_nstd,35.81769930902597,sub-04_ses-2_task-encoding_run-8_bold,
dvars_nstd,36.36786712267047,sub-04_ses-2_task-rest_run-1_bold,
dvars_nstd,35.87105845270346,sub-04_ses-2_task-similarity_run-1_bold,
dvars_nstd,36.13003905953351,sub-04_ses-2_task-similarity_run-2_bold,
dvars_nstd,46.60663843445161,sub-06_ses-1_task-encoding_run-1_bold,
dvars_nstd,45.15816168363638,sub-06_ses-1_task-encoding_run-2_bold,
dvars_nstd,45.486605318322574,sub-06_ses-1_task-encoding_run-3_bold,
dvars_nstd,44.570231945194784,sub-06_ses-1_task-encoding_run-4_bold,
dvars_nstd,52.69851012683872,sub-06_ses-1_task-encoding_run-5_bold,
dvars_nstd,44.597569758300665,sub-06_ses-1_task-encoding_run-6_bold,
dvars_nstd,44.78304773798705,sub-06_ses-1_task-encoding_run-7_bold,
dvars_nstd,46.2679962307143,sub-06_ses-1_task-encoding_run-8_bold,
dvars_nstd,47.70636931312501,sub-06_ses-1_task-rest_run-1_bold,
dvars_nstd,55.362324553988735,sub-06_ses-1_task-rest_run-2_bold,
dvars_nstd,48.985354767616286,sub-06_ses-1_task-similarity_run-1_bold,
dvars_nstd,45.87444400486952,sub-06_ses-1_task-similarity_run-2_bold,
dvars_nstd,44.18013129305193,sub-06_ses-2_task-encoding_run-1_bold,
dvars_nstd,43.87611530350648,sub-06_ses-2_task-encoding_run-2_bold,
dvars_nstd,44.78079900458064,sub-06_ses-2_task-encoding_run-3_bold,
dvars_nstd,44.77453938135484,sub-06_ses-2_task-encoding_run-4_bold,
dvars_nstd,44.022888456233744,sub-06_ses-2_task-encoding_run-5_bold,
dvars_nstd,44.57481085091504,sub-06_ses-2_task-encoding_run-6_bold,
dvars_nstd,45.26785950206449,sub-06_ses-2_task-encoding_run-7_bold,
dvars_nstd,43.35335639187098,sub-06_ses-2_task-encoding_run-8_bold,
dvars_nstd,43.24924609096045,sub-06_ses-2_task-rest_run-1_bold,
dvars_nstd,42.8291052997093,sub-06_ses-2_task-similarity_run-1_bold,
dvars_nstd,43.15031252360467,sub-06_ses-2_task-similarity_run-2_bold,
dvars_nstd,36.72810799393552,sub-08_ses-1_task-encoding_run-1_bold,
dvars_nstd,36.24122500753249,sub-08_ses-1_task-encoding_run-2_bold,
dvars_nstd,36.34473357266233,sub-08_ses-1_task-encoding_run-3_bold,
dvars_nstd,36.75576095580647,sub-08_ses-1_task-encoding_run-4_bold,
dvars_nstd,36.45680866864514,sub-08_ses-1_task-encoding_run-5_bold,
dvars_nstd,36.12695347123377,sub-08_ses-1_task-encoding_run-6_bold,
dvars_nstd,36.03539702155845,sub-08_ses-1_task-encoding_run-7_bold,
dvars_nstd,36.30838549193548,sub-08_ses-1_task-encoding_run-8_bold,
dvars_nstd,38.161268928068175,sub-08_ses-1_task-rest_run-1_bold,
dvars_nstd,36.71402675853106,sub-08_ses-1_task-rest_run-2_bold,
dvars_nstd,37.85283840023187,sub-08_ses-1_task-similarity_run-1_bold,
dvars_nstd,38.61288472026085,sub-08_ses-1_task-similarity_run-2_bold,
dvars_nstd,38.27046885329034,sub-08_ses-2_task-encoding_run-1_bold,
dvars_nstd,38.07479476948386,sub-08_ses-2_task-encoding_run-2_bold,
dvars_nstd,38.5934152659355,sub-08_ses-2_task-encoding_run-3_bold,
dvars_nstd,38.09302035903225,sub-08_ses-2_task-encoding_run-4_bold,
dvars_nstd,38.30655018662339,sub-08_ses-2_task-encoding_run-5_bold,
dvars_nstd,37.934237665844144,sub-08_ses-2_task-encoding_run-6_bold,
dvars_nstd,38.07629635735485,sub-08_ses-2_task-encoding_run-7_bold,
dvars_nstd,37.67894471683869,sub-08_ses-2_task-encoding_run-8_bold,
dvars_nstd,39.195706534463255,sub-08_ses-2_task-rest_run-1_bold,
dvars_nstd,38.69022087411596,sub-08_ses-2_task-similarity_run-1_bold,
dvars_nstd,38.31676193446378,sub-08_ses-2_task-similarity_run-2_bold,
dvars_nstd,36.84474424883115,sub-09_ses-1_task-encoding_run-1_bold,
dvars_nstd,36.313557166623376,sub-09_ses-1_task-encoding_run-2_bold,
dvars_nstd,36.38092281311686,sub-09_ses-1_task-encoding_run-3_bold,
dvars_nstd,36.11005636967533,sub-09_ses-1_task-encoding_run-4_bold,
dvars_nstd,36.0722831379221,sub-09_ses-1_task-encoding_run-5_bold,
dvars_nstd,36.45860376664516,sub-09_ses-1_task-encoding_run-6_bold,
dvars_nstd,36.22951765220778,sub-09_ses-1_task-encoding_run-7_bold,
dvars_nstd,36.02029881619355,sub-09_ses-1_task-encoding_run-8_bold,
dvars_nstd,36.20852396062147,sub-09_ses-1_task-rest_run-1_bold,
dvars_nstd,36.30954494272726,sub-09_ses-1_task-rest_run-2_bold,
dvars_nstd,37.45349167674419,sub-09_ses-1_task-similarity_run-1_bold,
dvars_nstd,37.14494188450582,sub-09_ses-1_task-similarity_run-2_bold,
dvars_nstd,35.45263263361287,sub-09_ses-2_task-encoding_run-1_bold,
dvars_nstd,34.5855253140909,sub-09_ses-2_task-encoding_run-2_bold,
dvars_nstd,34.82136882448054,sub-09_ses-2_task-encoding_run-3_bold,
dvars_nstd,34.7916418298052,sub-09_ses-2_task-encoding_run-4_bold,
dvars_nstd,34.72859464396104,sub-09_ses-2_task-encoding_run-5_bold,
dvars_nstd,33.983828457987,sub-09_ses-2_task-encoding_run-6_bold,
dvars_nstd,34.227834289607834,sub-09_ses-2_task-encoding_run-7_bold,
dvars_nstd,34.932469925584414,sub-09_ses-2_task-encoding_run-8_bold,
dvars_nstd,34.82499226636364,sub-09_ses-2_task-rest_run-1_bold,
dvars_nstd,35.898207110319746,sub-09_ses-2_task-similarity_run-1_bold,
dvars_nstd,35.846788096046495,sub-09_ses-2_task-similarity_run-2_bold,
dvars_nstd,36.46140867677419,sub-10_ses-1_task-encoding_run-1_bold,
dvars_nstd,36.001722781558435,sub-10_ses-1_task-encoding_run-2_bold,
dvars_nstd,35.918308873032245,sub-10_ses-1_task-encoding_run-3_bold,
dvars_nstd,35.66126408748387,sub-10_ses-1_task-encoding_run-4_bold,
dvars_nstd,35.6020405923871,sub-10_ses-1_task-encoding_run-5_bold,
dvars_nstd,35.604630722774175,sub-10_ses-1_task-encoding_run-6_bold,
dvars_nstd,35.12884388593549,sub-10_ses-1_task-encoding_run-7_bold,
dvars_nstd,35.361342785228736,sub-10_ses-1_task-encoding_run-8_bold,
dvars_nstd,36.963722638192095,sub-10_ses-1_task-rest_run-1_bold,
dvars_nstd,34.95852767352273,sub-10_ses-1_task-rest_run-2_bold,
dvars_nstd,37.00919121340117,sub-10_ses-1_task-similarity_run-1_bold,
dvars_nstd,36.376487055523256,sub-10_ses-1_task-similarity_run-2_bold,
dvars_nstd,36.91087931948388,sub-10_ses-2_task-encoding_run-1_bold,
dvars_nstd,36.92788104266232,sub-10_ses-2_task-encoding_run-2_bold,
dvars_nstd,37.06833225354836,sub-10_ses-2_task-encoding_run-3_bold,
dvars_nstd,36.93628791714284,sub-10_ses-2_task-encoding_run-4_bold,
dvars_nstd,36.28061511135484,sub-10_ses-2_task-encoding_run-5_bold,
dvars_nstd,36.31863806903225,sub-10_ses-2_task-encoding_run-6_bold,
dvars_nstd,36.21793589419356,sub-10_ses-2_task-encoding_run-7_bold,
dvars_nstd,35.60333271759742,sub-10_ses-2_task-encoding_run-8_bold,
dvars_nstd,35.64686291355933,sub-10_ses-2_task-rest_run-1_bold,
dvars_nstd,36.06605397828489,sub-10_ses-2_task-similarity_run-1_bold,
dvars_nstd,36.03440806081162,sub-10_ses-2_task-similarity_run-2_bold,
dvars_nstd,38.96027059688311,sub-11_ses-1_task-encoding_run-1_bold,
dvars_nstd,39.46109988309679,sub-11_ses-1_task-encoding_run-2_bold,
dvars_nstd,39.5310877130719,sub-11_ses-1_task-encoding_run-3_bold,
dvars_nstd,38.47078667649348,sub-11_ses-1_task-encoding_run-4_bold,
dvars_nstd,38.09446644000001,sub-11_ses-1_task-encoding_run-5_bold,
dvars_nstd,38.745620998451614,sub-11_ses-1_task-encoding_run-6_bold,
dvars_nstd,37.79460322396103,sub-11_ses-1_task-encoding_run-7_bold,
dvars_nstd,38.10111933058065,sub-11_ses-1_task-encoding_run-8_bold,
dvars_nstd,40.18700884125715,sub-11_ses-1_task-rest_run-1_bold,
dvars_nstd,38.13691301943504,sub-11_ses-1_task-rest_run-2_bold,
dvars_nstd,41.33536297773258,sub-11_ses-1_task-similarity_run-1_bold,
dvars_nstd,40.58064498904347,sub-11_ses-1_task-similarity_run-2_bold,
dvars_nstd,43.92814846746752,sub-11_ses-2_task-encoding_run-1_bold,
dvars_nstd,44.11165262051612,sub-11_ses-2_task-encoding_run-2_bold,
dvars_nstd,43.56492420316131,sub-11_ses-2_task-encoding_run-3_bold,
dvars_nstd,43.84445768780643,sub-11_ses-2_task-encoding_run-4_bold,
dvars_nstd,44.00972605064516,sub-11_ses-2_task-encoding_run-5_bold,
dvars_nstd,43.1990147256774,sub-11_ses-2_task-encoding_run-6_bold,
dvars_nstd,42.34474056612901,sub-11_ses-2_task-encoding_run-7_bold,
dvars_nstd,42.529256144064526,sub-11_ses-2_task-encoding_run-8_bold,
dvars_nstd,41.37649462881355,sub-11_ses-2_task-rest_run-1_bold,
dvars_nstd,40.36173847594199,sub-11_ses-2_task-similarity_run-1_bold,
dvars_nstd,38.96109201750001,sub-11_ses-2_task-similarity_run-2_bold,
dvars_nstd,35.685869737337654,sub-13_ses-1_task-encoding_run-1_bold,
dvars_nstd,34.8825333587013,sub-13_ses-1_task-encoding_run-2_bold,
dvars_nstd,35.734481539025985,sub-13_ses-1_task-encoding_run-3_bold,
dvars_nstd,35.452843207922086,sub-13_ses-1_task-encoding_run-4_bold,
dvars_nstd,35.154146764480515,sub-13_ses-1_task-encoding_run-5_bold,
dvars_nstd,35.12738696012988,sub-13_ses-1_task-encoding_run-6_bold,
dvars_nstd,35.1327939749673,sub-13_ses-1_task-encoding_run-7_bold,
dvars_nstd,35.01125087974025,sub-13_ses-1_task-encoding_run-8_bold,
dvars_nstd,37.06693215812502,sub-13_ses-1_task-rest_run-1_bold,
dvars_nstd,34.68315399801135,sub-13_ses-1_task-rest_run-2_bold,
dvars_nstd,36.34751083553935,sub-13_ses-1_task-similarity_run-1_bold,
dvars_nstd,35.671238622296535,sub-13_ses-1_task-similarity_run-2_bold,
dvars_nstd,35.22033934155844,sub-13_ses-2_task-encoding_run-1_bold,
dvars_nstd,34.79995925675324,sub-13_ses-2_task-encoding_run-2_bold,
dvars_nstd,34.82984525366015,sub-13_ses-2_task-encoding_run-3_bold,
dvars_nstd,34.53123035642857,sub-13_ses-2_task-encoding_run-4_bold,
dvars_nstd,34.79252330287582,sub-13_ses-2_task-encoding_run-5_bold,
dvars_nstd,34.616042500258054,sub-13_ses-2_task-encoding_run-6_bold,
dvars_nstd,34.33957067707792,sub-13_ses-2_task-encoding_run-7_bold,
dvars_nstd,34.40380552718956,sub-13_ses-2_task-encoding_run-8_bold,
dvars_nstd,33.499379626271164,sub-13_ses-2_task-rest_run-1_bold,
dvars_nstd,37.284188740495615,sub-13_ses-2_task-similarity_run-1_bold,
dvars_nstd,34.12219982351744,sub-13_ses-2_task-similarity_run-2_bold,
dvars_nstd,37.23477362348386,sub-14_ses-1_task-encoding_run-1_bold,
dvars_nstd,36.394438094466665,sub-14_ses-1_task-encoding_run-2_bold,
dvars_nstd,36.32794964696774,sub-14_ses-1_task-encoding_run-3_bold,
dvars_nstd,36.21581689148389,sub-14_ses-1_task-encoding_run-4_bold,
dvars_nstd,36.12569956632254,sub-14_ses-1_task-encoding_run-5_bold,
dvars_nstd,36.05141532651615,sub-14_ses-1_task-encoding_run-6_bold,
dvars_nstd,35.9669993979355,sub-14_ses-1_task-encoding_run-7_bold,
dvars_nstd,35.707476609612904,sub-14_ses-1_task-encoding_run-8_bold,
dvars_nstd,36.73155363259888,sub-14_ses-1_task-rest_run-1_bold,
dvars_nstd,34.95197337084746,sub-14_ses-1_task-rest_run-2_bold,
dvars_nstd,36.30372000434783,sub-14_ses-1_task-similarity_run-1_bold,
dvars_nstd,36.07111071150724,sub-14_ses-1_task-similarity_run-2_bold,
dvars_nstd,37.04971318361289,sub-14_ses-2_task-encoding_run-1_bold,
dvars_nstd,36.5903242789032,sub-14_ses-2_task-encoding_run-2_bold,
dvars_nstd,36.858526463483855,sub-14_ses-2_task-encoding_run-3_bold,
dvars_nstd,37.08968360589746,sub-14_ses-2_task-encoding_run-4_bold,
dvars_nstd,37.77871963673613,sub-14_ses-2_task-encoding_run-5_bold,
dvars_nstd,37.29205381341936,sub-14_ses-2_task-encoding_run-6_bold,
dvars_nstd,36.61186619412904,sub-14_ses-2_task-encoding_run-7_bold,
dvars_nstd,36.54993582993588,sub-14_ses-2_task-encoding_run-8_bold,
dvars_nstd,35.13305254598871,sub-14_ses-2_task-rest_run-1_bold,
dvars_nstd,37.00367547744927,sub-14_ses-2_task-similarity_run-1_bold,
dvars_nstd,37.12911279649275,sub-14_ses-2_task-similarity_run-2_bold,
dvars_nstd,36.97329741451615,sub-16_ses-1_task-encoding_run-1_bold,
dvars_nstd,36.67361675636364,sub-16_ses-1_task-encoding_run-2_bold,
dvars_nstd,36.470566903354815,sub-16_ses-1_task-encoding_run-3_bold,
dvars_nstd,36.80122942759739,sub-16_ses-1_task-encoding_run-4_bold,
dvars_nstd,36.38622834993463,sub-16_ses-1_task-encoding_run-5_bold,
dvars_nstd,36.214708611032265,sub-16_ses-1_task-encoding_run-6_bold,
dvars_nstd,35.84898227798699,sub-16_ses-1_task-encoding_run-7_bold,
dvars_nstd,35.34342353561289,sub-16_ses-1_task-encoding_run-8_bold,
dvars_nstd,38.90427530869319,sub-16_ses-1_task-rest_run-1_bold,
dvars_nstd,35.46882036723164,sub-16_ses-1_task-rest_run-2_bold,
dvars_nstd,38.57833872297378,sub-16_ses-1_task-similarity_run-1_bold,
dvars_nstd,38.23426394252173,sub-16_ses-1_task-similarity_run-2_bold,
dvars_nstd,39.70552048103895,sub-16_ses-2_task-encoding_run-1_bold,
dvars_nstd,39.281410562193535,sub-16_ses-2_task-encoding_run-2_bold,
dvars_nstd,38.388900609032255,sub-16_ses-2_task-encoding_run-3_bold,
dvars_nstd,37.95820932279221,sub-16_ses-2_task-encoding_run-4_bold,
dvars_nstd,37.91741906175324,sub-16_ses-2_task-encoding_run-5_bold,
dvars_nstd,37.80542356279221,sub-16_ses-2_task-encoding_run-6_bold,
dvars_nstd,37.50903587779222,sub-16_ses-2_task-encoding_run-7_bold,
dvars_nstd,37.97716792929034,sub-16_ses-2_task-encoding_run-8_bold,
dvars_nstd,39.98015007107957,sub-16_ses-2_task-rest_run-1_bold,
dvars_nstd,39.04769249834301,sub-16_ses-2_task-similarity_run-1_bold,
dvars_nstd,39.03975979119189,sub-16_ses-2_task-similarity_run-2_bold,
dvars_nstd,43.7055826492258,sub-17_ses-1_task-encoding_run-1_bold,
dvars_nstd,40.27602918032259,sub-17_ses-1_task-encoding_run-2_bold,
dvars_nstd,41.163648346774174,sub-17_ses-1_task-encoding_run-3_bold,
dvars_nstd,40.88626649909678,sub-17_ses-1_task-encoding_run-4_bold,
dvars_nstd,40.032751801493504,sub-17_ses-1_task-encoding_run-5_bold,
dvars_nstd,41.09457625370131,sub-17_ses-1_task-encoding_run-6_bold,
dvars_nstd,39.70785699619356,sub-17_ses-1_task-encoding_run-7_bold,
dvars_nstd,39.67388133253245,sub-17_ses-1_task-encoding_run-8_bold,
dvars_nstd,42.88415611395481,sub-17_ses-1_task-rest_run-1_bold,
dvars_nstd,40.15733242593223,sub-17_ses-1_task-rest_run-2_bold,
dvars_nstd,41.55431969209304,sub-17_ses-1_task-similarity_run-1_bold,
dvars_nstd,41.38570741168605,sub-17_ses-1_task-similarity_run-2_bold,
dvars_nstd,43.63578594580646,sub-17_ses-2_task-encoding_run-1_bold,
dvars_nstd,43.447504637597405,sub-17_ses-2_task-encoding_run-2_bold,
dvars_nstd,42.77678427766234,sub-17_ses-2_task-encoding_run-3_bold,
dvars_nstd,40.74238081877421,sub-17_ses-2_task-encoding_run-4_bold,
dvars_nstd,41.899351045389615,sub-17_ses-2_task-encoding_run-5_bold,
dvars_nstd,42.17285602123377,sub-17_ses-2_task-encoding_run-6_bold,
dvars_nstd,41.13494556000002,sub-17_ses-2_task-encoding_run-7_bold,
dvars_nstd,40.89591410220778,sub-17_ses-2_task-encoding_run-8_bold,
dvars_nstd,42.08574015971429,sub-17_ses-2_task-rest_run-1_bold,
dvars_nstd,41.71901184263765,sub-17_ses-2_task-similarity_run-1_bold,
dvars_nstd,40.56651729634781,sub-17_ses-2_task-similarity_run-2_bold,
dvars_nstd,35.22178905890322,sub-18_ses-1_task-encoding_run-1_bold,
dvars_nstd,34.52400769792207,sub-18_ses-1_task-encoding_run-2_bold,
dvars_nstd,34.2532141692157,sub-18_ses-1_task-encoding_run-3_bold,
dvars_nstd,34.21354792483659,sub-18_ses-1_task-encoding_run-4_bold,
dvars_nstd,33.85776175422078,sub-18_ses-1_task-encoding_run-5_bold,
dvars_nstd,33.686342387662336,sub-18_ses-1_task-encoding_run-6_bold,
dvars_nstd,33.691618844935064,sub-18_ses-1_task-encoding_run-7_bold,
dvars_nstd,33.598051071249984,sub-18_ses-1_task-encoding_run-8_bold,
dvars_nstd,37.12438331943181,sub-18_ses-1_task-rest_run-1_bold,
dvars_nstd,33.97157443687501,sub-18_ses-1_task-rest_run-2_bold,
dvars_nstd,36.606394335465126,sub-18_ses-1_task-similarity_run-1_bold,
dvars_nstd,36.49154909244187,sub-18_ses-1_task-similarity_run-2_bold,
dvars_nstd,35.99486289097403,sub-18_ses-2_task-encoding_run-1_bold,
dvars_nstd,35.62448878013158,sub-18_ses-2_task-encoding_run-2_bold,
dvars_nstd,35.382130511233754,sub-18_ses-2_task-encoding_run-3_bold,
dvars_nstd,35.18938126500001,sub-18_ses-2_task-encoding_run-4_bold,
dvars_nstd,34.899800602193544,sub-18_ses-2_task-encoding_run-5_bold,
dvars_nstd,34.3620556175974,sub-18_ses-2_task-encoding_run-6_bold,
dvars_nstd,34.4397664585135,sub-18_ses-2_task-encoding_run-7_bold,
dvars_nstd,34.435285617857154,sub-18_ses-2_task-encoding_run-8_bold,
dvars_nstd,34.155315713352294,sub-18_ses-2_task-rest_run-1_bold,
dvars_nstd,34.542344004447706,sub-18_ses-2_task-similarity_run-1_bold,
dvars_nstd,34.3112836953061,sub-18_ses-2_task-similarity_run-2_bold,
dvars_nstd,40.32565077253248,sub-19_ses-1_task-encoding_run-1_bold,
dvars_nstd,40.0501275498052,sub-19_ses-1_task-encoding_run-2_bold,
dvars_nstd,40.07855814084417,sub-19_ses-1_task-encoding_run-3_bold,
dvars_nstd,40.05489354311688,sub-19_ses-1_task-encoding_run-4_bold,
dvars_nstd,40.58023809487013,sub-19_ses-1_task-encoding_run-5_bold,
dvars_nstd,40.10085393240259,sub-19_ses-1_task-encoding_run-6_bold,
dvars_nstd,39.962480099220784,sub-19_ses-1_task-encoding_run-7_bold,
dvars_nstd,39.68811852551946,sub-19_ses-1_task-encoding_run-8_bold,
dvars_nstd,40.26305337386365,sub-19_ses-1_task-rest_run-1_bold,
dvars_nstd,39.73728015215909,sub-19_ses-1_task-rest_run-2_bold,
dvars_nstd,40.736592315058125,sub-19_ses-1_task-similarity_run-1_bold,
dvars_nstd,40.48305717842104,sub-19_ses-1_task-similarity_run-2_bold,
dvars_nstd,40.27231780025807,sub-19_ses-2_task-encoding_run-1_bold,
dvars_nstd,40.47256960908496,sub-19_ses-2_task-encoding_run-2_bold,
dvars_nstd,41.03860998818181,sub-19_ses-2_task-encoding_run-3_bold,
dvars_nstd,40.6893693751948,sub-19_ses-2_task-encoding_run-4_bold,
dvars_nstd,41.29169689500002,sub-19_ses-2_task-encoding_run-5_bold,
dvars_nstd,41.01044171225806,sub-19_ses-2_task-encoding_run-6_bold,
dvars_nstd,40.753023519025945,sub-19_ses-2_task-encoding_run-7_bold,
dvars_nstd,40.79092621367738,sub-19_ses-2_task-encoding_run-8_bold,
dvars_nstd,41.08977814159092,sub-19_ses-2_task-rest_run-1_bold,
dvars_nstd,40.4925278065116,sub-19_ses-2_task-similarity_run-1_bold,
dvars_nstd,40.333580539621,sub-19_ses-2_task-similarity_run-2_bold,
dvars_nstd,36.43244743389611,sub-20_ses-1_task-encoding_run-1_bold,
dvars_nstd,36.60908964568628,sub-20_ses-1_task-encoding_run-2_bold,
dvars_nstd,36.54046165142855,sub-20_ses-1_task-encoding_run-3_bold,
dvars_nstd,36.20653125220778,sub-20_ses-1_task-encoding_run-4_bold,
dvars_nstd,35.7446149274839,sub-20_ses-1_task-encoding_run-5_bold,
dvars_nstd,36.134164773225805,sub-20_ses-1_task-encoding_run-6_bold,
dvars_nstd,35.17849977580646,sub-20_ses-1_task-encoding_run-7_bold,
dvars_nstd,35.10645419259741,sub-20_ses-1_task-encoding_run-8_bold,
dvars_nstd,37.04759102079096,sub-20_ses-1_task-rest_run-1_bold,
dvars_nstd,34.27453038909093,sub-20_ses-1_task-rest_run-2_bold,
dvars_nstd,35.724412740436044,sub-20_ses-1_task-similarity_run-1_bold,
dvars_nstd,35.612903617238366,sub-20_ses-1_task-similarity_run-2_bold,
dvars_nstd,36.83306490980645,sub-20_ses-2_task-encoding_run-1_bold,
dvars_nstd,36.602849935454536,sub-20_ses-2_task-encoding_run-2_bold,
dvars_nstd,35.65143850259744,sub-20_ses-2_task-encoding_run-3_bold,
dvars_nstd,35.83829597350648,sub-20_ses-2_task-encoding_run-4_bold,
dvars_nstd,35.5549034419608,sub-20_ses-2_task-encoding_run-5_bold,
dvars_nstd,35.7610039155195,sub-20_ses-2_task-encoding_run-6_bold,
dvars_nstd,35.132066190522885,sub-20_ses-2_task-encoding_run-7_bold,
dvars_nstd,35.6037880683226,sub-20_ses-2_task-encoding_run-8_bold,
dvars_nstd,35.14363371858756,sub-20_ses-2_task-rest_run-1_bold,
dvars_nstd,37.18089094292753,sub-20_ses-2_task-similarity_run-1_bold,
dvars_nstd,36.36603020546511,sub-20_ses-2_task-similarity_run-2_bold,
dvars_nstd,39.22079381677418,sub-25_ses-1_task-encoding_run-1_bold,
dvars_nstd,40.66984592785714,sub-25_ses-1_task-encoding_run-2_bold,
dvars_nstd,38.808863776168806,sub-25_ses-1_task-encoding_run-3_bold,
dvars_nstd,39.5079292543226,sub-25_ses-1_task-encoding_run-4_bold,
dvars_nstd,38.95373064519482,sub-25_ses-1_task-encoding_run-5_bold,
dvars_nstd,38.92789481493507,sub-25_ses-1_task-encoding_run-6_bold,
dvars_nstd,38.36748075771242,sub-25_ses-1_task-encoding_run-7_bold,
dvars_nstd,38.25971638032468,sub-25_ses-1_task-encoding_run-8_bold,
dvars_nstd,38.32925412875002,sub-25_ses-1_task-rest_run-1_bold,
dvars_nstd,38.47291648983052,sub-25_ses-1_task-rest_run-2_bold,
dvars_nstd,38.35938321862975,sub-25_ses-1_task-similarity_run-1_bold,
dvars_nstd,39.126716902740526,sub-25_ses-1_task-similarity_run-2_bold,
dvars_nstd,40.27972468703224,sub-25_ses-2_task-encoding_run-1_bold,
dvars_nstd,40.080322216233775,sub-25_ses-2_task-encoding_run-2_bold,
dvars_nstd,40.41917843281047,sub-25_ses-2_task-encoding_run-3_bold,
dvars_nstd,40.30650698694805,sub-25_ses-2_task-encoding_run-4_bold,
dvars_nstd,40.07088212058064,sub-25_ses-2_task-encoding_run-5_bold,
dvars_nstd,39.980901866558426,sub-25_ses-2_task-encoding_run-6_bold,
dvars_nstd,39.815854290849686,sub-25_ses-2_task-encoding_run-7_bold,
dvars_nstd,39.71234364230265,sub-25_ses-2_task-encoding_run-8_bold,
dvars_nstd,39.83622077413792,sub-25_ses-2_task-rest_run-1_bold,
dvars_nstd,39.785221011162776,sub-25_ses-2_task-similarity_run-1_bold,
dvars_nstd,40.35373395005816,sub-25_ses-2_task-similarity_run-2_bold,
dvars_nstd,36.609786268961045,sub-26_ses-1_task-encoding_run-1_bold,
dvars_nstd,36.19079470935064,sub-26_ses-1_task-encoding_run-2_bold,
dvars_nstd,36.35285686361289,sub-26_ses-1_task-encoding_run-3_bold,
dvars_nstd,35.86847258214287,sub-26_ses-1_task-encoding_run-4_bold,
dvars_nstd,37.18211972625805,sub-26_ses-1_task-encoding_run-5_bold,
dvars_nstd,36.6951490836129,sub-26_ses-1_task-encoding_run-6_bold,
dvars_nstd,36.102246668311686,sub-26_ses-1_task-encoding_run-7_bold,
dvars_nstd,35.68742862812907,sub-26_ses-1_task-encoding_run-8_bold,
dvars_nstd,37.02406191840909,sub-26_ses-1_task-rest_run-1_bold,
dvars_nstd,36.12447760318182,sub-26_ses-1_task-rest_run-2_bold,
dvars_nstd,36.917959956104646,sub-26_ses-1_task-similarity_run-1_bold,
dvars_nstd,36.135804129391296,sub-26_ses-1_task-similarity_run-2_bold,
dvars_nstd,34.685502585,sub-26_ses-2_task-encoding_run-1_bold,
dvars_nstd,34.91604136181817,sub-26_ses-2_task-encoding_run-2_bold,
dvars_nstd,34.9776948209091,sub-26_ses-2_task-encoding_run-3_bold,
dvars_nstd,35.1318835962987,sub-26_ses-2_task-encoding_run-4_bold,
dvars_nstd,35.42083302109675,sub-26_ses-2_task-encoding_run-5_bold,
dvars_nstd,34.9100492171613,sub-26_ses-2_task-encoding_run-6_bold,
dvars_nstd,35.09740698168831,sub-26_ses-2_task-encoding_run-7_bold,
dvars_nstd,35.644867312645154,sub-26_ses-2_task-encoding_run-8_bold,
dvars_nstd,36.0305263412,sub-26_ses-2_task-rest_run-1_bold,
dvars_nstd,36.12178627284886,sub-26_ses-2_task-similarity_run-1_bold,
dvars_nstd,36.13894949649277,sub-26_ses-2_task-similarity_run-2_bold,
dvars_nstd,43.15657739999999,sub-27_ses-1_task-encoding_run-1_bold,
dvars_nstd,43.35551853761291,sub-27_ses-1_task-encoding_run-2_bold,
dvars_nstd,42.896939414155845,sub-27_ses-1_task-encoding_run-3_bold,
dvars_nstd,42.49594295845159,sub-27_ses-1_task-encoding_run-4_bold,
dvars_nstd,41.8937309511613,sub-27_ses-1_task-encoding_run-5_bold,
dvars_nstd,42.03639287683872,sub-27_ses-1_task-encoding_run-6_bold,
dvars_nstd,41.89770891748386,sub-27_ses-1_task-encoding_run-7_bold,
dvars_nstd,41.70788175516129,sub-27_ses-1_task-encoding_run-8_bold,
dvars_nstd,44.17191711282486,sub-27_ses-1_task-rest_run-1_bold,
dvars_nstd,40.2837015140113,sub-27_ses-1_task-rest_run-2_bold,
dvars_nstd,43.75744872165218,sub-27_ses-1_task-similarity_run-1_bold,
dvars_nstd,43.75621538011593,sub-27_ses-1_task-similarity_run-2_bold,
dvars_nstd,43.224601154322585,sub-27_ses-2_task-encoding_run-1_bold,
dvars_nstd,44.31734331167742,sub-27_ses-2_task-encoding_run-2_bold,
dvars_nstd,43.99227132483869,sub-27_ses-2_task-encoding_run-3_bold,
dvars_nstd,43.42607042812903,sub-27_ses-2_task-encoding_run-4_bold,
dvars_nstd,43.63432393193549,sub-27_ses-2_task-encoding_run-5_bold,
dvars_nstd,43.33318161516131,sub-27_ses-2_task-encoding_run-6_bold,
dvars_nstd,43.46239658522581,sub-27_ses-2_task-encoding_run-7_bold,
dvars_nstd,42.887707150322576,sub-27_ses-2_task-encoding_run-8_bold,
dvars_nstd,42.81232808129215,sub-27_ses-2_task-rest_run-1_bold,
dvars_nstd,42.83758248594202,sub-27_ses-2_task-similarity_run-1_bold,
dvars_nstd,41.76078852609825,sub-27_ses-2_task-similarity_run-2_bold,
dvars_nstd,40.38618799045163,sub-28_ses-1_task-encoding_run-1_bold,
dvars_nstd,40.67866122374191,sub-28_ses-1_task-encoding_run-2_bold,
dvars_nstd,41.62743616387096,sub-28_ses-1_task-encoding_run-3_bold,
dvars_nstd,40.10835308769733,sub-28_ses-1_task-encoding_run-4_bold,
dvars_nstd,39.36649543987097,sub-28_ses-1_task-encoding_run-5_bold,
dvars_nstd,38.84251221677422,sub-28_ses-1_task-encoding_run-6_bold,
dvars_nstd,38.926867183677416,sub-28_ses-1_task-encoding_run-7_bold,
dvars_nstd,38.9978245396774,sub-28_ses-1_task-encoding_run-8_bold,
dvars_nstd,40.7277952940113,sub-28_ses-1_task-rest_run-1_bold,
dvars_nstd,39.205422309774015,sub-28_ses-1_task-rest_run-2_bold,
dvars_nstd,40.54752476999997,sub-28_ses-1_task-similarity_run-1_bold,
dvars_nstd,40.2405002026822,sub-28_ses-1_task-similarity_run-2_bold,
dvars_nstd,35.07841630780646,sub-28_ses-2_task-encoding_run-1_bold,
dvars_nstd,34.330207504451614,sub-28_ses-2_task-encoding_run-2_bold,
dvars_nstd,34.55604000729032,sub-28_ses-2_task-encoding_run-3_bold,
dvars_nstd,35.266047292077914,sub-28_ses-2_task-encoding_run-4_bold,
dvars_nstd,35.555331789677425,sub-28_ses-2_task-encoding_run-5_bold,
dvars_nstd,34.98404379457516,sub-28_ses-2_task-encoding_run-6_bold,
dvars_nstd,35.006241594967776,sub-28_ses-2_task-encoding_run-7_bold,
dvars_nstd,34.6552360287742,sub-28_ses-2_task-encoding_run-8_bold,
dvars_nstd,35.46880647267046,sub-28_ses-2_task-rest_run-1_bold,
dvars_nstd,35.47942615437681,sub-28_ses-2_task-similarity_run-1_bold,
dvars_nstd,34.75799356533331,sub-28_ses-2_task-similarity_run-2_bold,
</pre>
<div class="chart-wrapper" id="chart-group7"></div>
<pre class="csvdata" id="data-csv7" style="display: none">
iqm,value,label,units
fd_mean,0.1036245868685384,sub-01_ses-1_task-encoding_run-1_bold,mm
fd_mean,0.1481553331041568,sub-01_ses-1_task-encoding_run-2_bold,mm
fd_mean,0.1564462201174196,sub-01_ses-1_task-encoding_run-3_bold,mm
fd_mean,0.1153533385464378,sub-01_ses-1_task-encoding_run-4_bold,mm
fd_mean,0.1095188330793282,sub-01_ses-1_task-encoding_run-5_bold,mm
fd_mean,0.1395076388983814,sub-01_ses-1_task-encoding_run-6_bold,mm
fd_mean,0.0924933056731693,sub-01_ses-1_task-encoding_run-7_bold,mm
fd_mean,0.0724846133514039,sub-01_ses-1_task-encoding_run-8_bold,mm
fd_mean,0.1318288950161758,sub-01_ses-1_task-rest_run-1_bold,mm
fd_mean,0.1161612859965885,sub-01_ses-1_task-similarity_run-1_bold,mm
fd_mean,0.1422900623227841,sub-01_ses-1_task-similarity_run-2_bold,mm
fd_mean,0.1133916668002776,sub-01_ses-2_task-encoding_run-1_bold,mm
fd_mean,0.1411376748159115,sub-01_ses-2_task-encoding_run-2_bold,mm
fd_mean,0.144984307339218,sub-01_ses-2_task-encoding_run-3_bold,mm
fd_mean,0.1534578168029099,sub-01_ses-2_task-encoding_run-4_bold,mm
fd_mean,0.2022940468366952,sub-01_ses-2_task-encoding_run-5_bold,mm
fd_mean,0.0873319135911723,sub-01_ses-2_task-encoding_run-6_bold,mm
fd_mean,0.1274201478296747,sub-01_ses-2_task-encoding_run-7_bold,mm
fd_mean,0.1277012994569566,sub-01_ses-2_task-encoding_run-8_bold,mm
fd_mean,0.1333051991434378,sub-01_ses-2_task-rest_run-1_bold,mm
fd_mean,0.1331895442591604,sub-01_ses-2_task-similarity_run-1_bold,mm
fd_mean,0.1608461027699367,sub-01_ses-2_task-similarity_run-2_bold,mm
fd_mean,0.0832550684141395,sub-02_ses-1_task-encoding_run-1_bold,mm
fd_mean,0.0679413970326169,sub-02_ses-1_task-encoding_run-2_bold,mm
fd_mean,0.0736365067173621,sub-02_ses-1_task-encoding_run-3_bold,mm
fd_mean,0.0807489431721508,sub-02_ses-1_task-encoding_run-4_bold,mm
fd_mean,0.0560913961973477,sub-02_ses-1_task-encoding_run-5_bold,mm
fd_mean,0.0664553222684065,sub-02_ses-1_task-encoding_run-6_bold,mm
fd_mean,0.0667971744584496,sub-02_ses-1_task-encoding_run-7_bold,mm
fd_mean,0.0791198813550896,sub-02_ses-1_task-encoding_run-8_bold,mm
fd_mean,0.087465114940081,sub-02_ses-1_task-rest_run-1_bold,mm
fd_mean,0.0920684040431976,sub-02_ses-1_task-rest_run-2_bold,mm
fd_mean,0.0802879110424035,sub-02_ses-1_task-similarity_run-1_bold,mm
fd_mean,0.0800448400633129,sub-02_ses-1_task-similarity_run-2_bold,mm
fd_mean,0.0627211239598812,sub-02_ses-2_task-encoding_run-1_bold,mm
fd_mean,0.070018727432417,sub-02_ses-2_task-encoding_run-2_bold,mm
fd_mean,0.0745889053319381,sub-02_ses-2_task-encoding_run-3_bold,mm
fd_mean,0.0777749442107289,sub-02_ses-2_task-encoding_run-4_bold,mm
fd_mean,0.0762911382352381,sub-02_ses-2_task-encoding_run-5_bold,mm
fd_mean,0.0725702498468434,sub-02_ses-2_task-encoding_run-6_bold,mm
fd_mean,0.0708776931414579,sub-02_ses-2_task-encoding_run-7_bold,mm
fd_mean,0.0738360791213951,sub-02_ses-2_task-encoding_run-8_bold,mm
fd_mean,0.0929350940182366,sub-02_ses-2_task-rest_run-1_bold,mm
fd_mean,0.0667228367687982,sub-02_ses-2_task-similarity_run-1_bold,mm
fd_mean,0.0701125728189265,sub-02_ses-2_task-similarity_run-2_bold,mm
fd_mean,0.0804940048391601,sub-03_ses-1_task-encoding_run-1_bold,mm
fd_mean,0.0564815855680987,sub-03_ses-1_task-encoding_run-2_bold,mm
fd_mean,0.0707584242568204,sub-03_ses-1_task-encoding_run-3_bold,mm
fd_mean,0.0644753665682453,sub-03_ses-1_task-encoding_run-4_bold,mm
fd_mean,0.0715534223482406,sub-03_ses-1_task-encoding_run-5_bold,mm
fd_mean,0.0921048299563071,sub-03_ses-1_task-encoding_run-6_bold,mm
fd_mean,0.0729743041960441,sub-03_ses-1_task-encoding_run-7_bold,mm
fd_mean,0.0748481727751278,sub-03_ses-1_task-encoding_run-8_bold,mm
fd_mean,0.0559486010639089,sub-03_ses-1_task-rest_run-1_bold,mm
fd_mean,0.0753281410439214,sub-03_ses-1_task-rest_run-2_bold,mm
fd_mean,0.0652513664111815,sub-03_ses-1_task-similarity_run-1_bold,mm
fd_mean,0.0591914848804669,sub-03_ses-1_task-similarity_run-2_bold,mm
fd_mean,0.0799642792921735,sub-03_ses-2_task-encoding_run-1_bold,mm
fd_mean,0.085773066959915,sub-03_ses-2_task-encoding_run-2_bold,mm
fd_mean,0.0859052680855366,sub-03_ses-2_task-encoding_run-3_bold,mm
fd_mean,0.0877919291484175,sub-03_ses-2_task-encoding_run-4_bold,mm
fd_mean,0.0782455978761712,sub-03_ses-2_task-encoding_run-5_bold,mm
fd_mean,0.085894095920589,sub-03_ses-2_task-encoding_run-6_bold,mm
fd_mean,0.0889479836722597,sub-03_ses-2_task-encoding_run-7_bold,mm
fd_mean,0.0919941805496662,sub-03_ses-2_task-encoding_run-8_bold,mm
fd_mean,0.0870994332973474,sub-03_ses-2_task-rest_run-1_bold,mm
fd_mean,0.0913266704270745,sub-03_ses-2_task-similarity_run-1_bold,mm
fd_mean,0.0712872214057191,sub-03_ses-2_task-similarity_run-2_bold,mm
fd_mean,0.0671475330032561,sub-04_ses-1_task-encoding_run-1_bold,mm
fd_mean,0.0573399233598866,sub-04_ses-1_task-encoding_run-2_bold,mm
fd_mean,0.0586805580375577,sub-04_ses-1_task-encoding_run-3_bold,mm
fd_mean,0.0770520653810917,sub-04_ses-1_task-encoding_run-4_bold,mm
fd_mean,0.0812746129140071,sub-04_ses-1_task-encoding_run-5_bold,mm
fd_mean,0.0870071381290819,sub-04_ses-1_task-encoding_run-6_bold,mm
fd_mean,0.1043139510042278,sub-04_ses-1_task-encoding_run-7_bold,mm
fd_mean,0.097548625454938,sub-04_ses-1_task-encoding_run-8_bold,mm
fd_mean,0.1007660621157709,sub-04_ses-1_task-rest_run-1_bold,mm
fd_mean,0.0947268859626944,sub-04_ses-1_task-rest_run-2_bold,mm
fd_mean,0.1020184021304796,sub-04_ses-1_task-similarity_run-1_bold,mm
fd_mean,0.1268556773644597,sub-04_ses-1_task-similarity_run-2_bold,mm
fd_mean,0.0647523996289575,sub-04_ses-2_task-encoding_run-1_bold,mm
fd_mean,0.078622010413485,sub-04_ses-2_task-encoding_run-2_bold,mm
fd_mean,0.1039336868890889,sub-04_ses-2_task-encoding_run-3_bold,mm
fd_mean,0.0922587450560127,sub-04_ses-2_task-encoding_run-4_bold,mm
fd_mean,0.0958239412096853,sub-04_ses-2_task-encoding_run-5_bold,mm
fd_mean,0.0985712848859699,sub-04_ses-2_task-encoding_run-6_bold,mm
fd_mean,0.1126428957382872,sub-04_ses-2_task-encoding_run-7_bold,mm
fd_mean,0.1084848097820103,sub-04_ses-2_task-encoding_run-8_bold,mm
fd_mean,0.0824952987050561,sub-04_ses-2_task-rest_run-1_bold,mm
fd_mean,0.091926286015337,sub-04_ses-2_task-similarity_run-1_bold,mm
fd_mean,0.0950653215721515,sub-04_ses-2_task-similarity_run-2_bold,mm
fd_mean,0.2129405373394056,sub-06_ses-1_task-encoding_run-1_bold,mm
fd_mean,0.1354273013203218,sub-06_ses-1_task-encoding_run-2_bold,mm
fd_mean,0.1740184765860389,sub-06_ses-1_task-encoding_run-3_bold,mm
fd_mean,0.1407142536482698,sub-06_ses-1_task-encoding_run-4_bold,mm
fd_mean,0.3615384152651608,sub-06_ses-1_task-encoding_run-5_bold,mm
fd_mean,0.1313741582902644,sub-06_ses-1_task-encoding_run-6_bold,mm
fd_mean,0.1155460070877417,sub-06_ses-1_task-encoding_run-7_bold,mm
fd_mean,0.165739313475429,sub-06_ses-1_task-encoding_run-8_bold,mm
fd_mean,0.1797151214503625,sub-06_ses-1_task-rest_run-1_bold,mm
fd_mean,0.4370150940091507,sub-06_ses-1_task-rest_run-2_bold,mm
fd_mean,0.2306409344670457,sub-06_ses-1_task-similarity_run-1_bold,mm
fd_mean,0.1508023646456635,sub-06_ses-1_task-similarity_run-2_bold,mm
fd_mean,0.1096138405794001,sub-06_ses-2_task-encoding_run-1_bold,mm
fd_mean,0.1003186889176258,sub-06_ses-2_task-encoding_run-2_bold,mm
fd_mean,0.1675378698083268,sub-06_ses-2_task-encoding_run-3_bold,mm
fd_mean,0.1675480229922853,sub-06_ses-2_task-encoding_run-4_bold,mm
fd_mean,0.1646839594785161,sub-06_ses-2_task-encoding_run-5_bold,mm
fd_mean,0.1573627317997131,sub-06_ses-2_task-encoding_run-6_bold,mm
fd_mean,0.1733967608387361,sub-06_ses-2_task-encoding_run-7_bold,mm
fd_mean,0.1501728536903348,sub-06_ses-2_task-encoding_run-8_bold,mm
fd_mean,0.1481598657860074,sub-06_ses-2_task-rest_run-1_bold,mm
fd_mean,0.1364502238276186,sub-06_ses-2_task-similarity_run-1_bold,mm
fd_mean,0.1837106073684818,sub-06_ses-2_task-similarity_run-2_bold,mm
fd_mean,0.0830644379132929,sub-08_ses-1_task-encoding_run-1_bold,mm
fd_mean,0.0786750340853841,sub-08_ses-1_task-encoding_run-2_bold,mm
fd_mean,0.0752075662083511,sub-08_ses-1_task-encoding_run-3_bold,mm
fd_mean,0.1036320471725761,sub-08_ses-1_task-encoding_run-4_bold,mm
fd_mean,0.0902215573645654,sub-08_ses-1_task-encoding_run-5_bold,mm
fd_mean,0.0838122690828518,sub-08_ses-1_task-encoding_run-6_bold,mm
fd_mean,0.0836685019021726,sub-08_ses-1_task-encoding_run-7_bold,mm
fd_mean,0.0851136442084207,sub-08_ses-1_task-encoding_run-8_bold,mm
fd_mean,0.0905739136980979,sub-08_ses-1_task-rest_run-1_bold,mm
fd_mean,0.0986904942365632,sub-08_ses-1_task-rest_run-2_bold,mm
fd_mean,0.0881566447964414,sub-08_ses-1_task-similarity_run-1_bold,mm
fd_mean,0.1350547854118063,sub-08_ses-1_task-similarity_run-2_bold,mm
fd_mean,0.074971424716955,sub-08_ses-2_task-encoding_run-1_bold,mm
fd_mean,0.0698647130626913,sub-08_ses-2_task-encoding_run-2_bold,mm
fd_mean,0.0928828519385634,sub-08_ses-2_task-encoding_run-3_bold,mm
fd_mean,0.0818558766822155,sub-08_ses-2_task-encoding_run-4_bold,mm
fd_mean,0.085519250446838,sub-08_ses-2_task-encoding_run-5_bold,mm
fd_mean,0.0797531000071152,sub-08_ses-2_task-encoding_run-6_bold,mm
fd_mean,0.0920596985942236,sub-08_ses-2_task-encoding_run-7_bold,mm
fd_mean,0.0889698262460956,sub-08_ses-2_task-encoding_run-8_bold,mm
fd_mean,0.1148587115491296,sub-08_ses-2_task-rest_run-1_bold,mm
fd_mean,0.1079542759371868,sub-08_ses-2_task-similarity_run-1_bold,mm
fd_mean,0.1105473336881892,sub-08_ses-2_task-similarity_run-2_bold,mm
fd_mean,0.0649289336313583,sub-09_ses-1_task-encoding_run-1_bold,mm
fd_mean,0.0589525795877467,sub-09_ses-1_task-encoding_run-2_bold,mm
fd_mean,0.0514548800056038,sub-09_ses-1_task-encoding_run-3_bold,mm
fd_mean,0.059518480125648,sub-09_ses-1_task-encoding_run-4_bold,mm
fd_mean,0.0565815025891771,sub-09_ses-1_task-encoding_run-5_bold,mm
fd_mean,0.0574034420123407,sub-09_ses-1_task-encoding_run-6_bold,mm
fd_mean,0.0487222549553098,sub-09_ses-1_task-encoding_run-7_bold,mm
fd_mean,0.0495809661374779,sub-09_ses-1_task-encoding_run-8_bold,mm
fd_mean,0.0721478412079423,sub-09_ses-1_task-rest_run-1_bold,mm
fd_mean,0.0673528315928255,sub-09_ses-1_task-rest_run-2_bold,mm
fd_mean,0.0733584451176886,sub-09_ses-1_task-similarity_run-1_bold,mm
fd_mean,0.0611961771579731,sub-09_ses-1_task-similarity_run-2_bold,mm
fd_mean,0.071294992327662,sub-09_ses-2_task-encoding_run-1_bold,mm
fd_mean,0.0548857783530415,sub-09_ses-2_task-encoding_run-2_bold,mm
fd_mean,0.0616510270092963,sub-09_ses-2_task-encoding_run-3_bold,mm
fd_mean,0.0749166166049059,sub-09_ses-2_task-encoding_run-4_bold,mm
fd_mean,0.0586414578874244,sub-09_ses-2_task-encoding_run-5_bold,mm
fd_mean,0.0517810462946877,sub-09_ses-2_task-encoding_run-6_bold,mm
fd_mean,0.0526080831813296,sub-09_ses-2_task-encoding_run-7_bold,mm
fd_mean,0.0475258511419035,sub-09_ses-2_task-encoding_run-8_bold,mm
fd_mean,0.0562076358933195,sub-09_ses-2_task-rest_run-1_bold,mm
fd_mean,0.0621305776180757,sub-09_ses-2_task-similarity_run-1_bold,mm
fd_mean,0.066234008187816,sub-09_ses-2_task-similarity_run-2_bold,mm
fd_mean,0.0703252739128211,sub-10_ses-1_task-encoding_run-1_bold,mm
fd_mean,0.0551717725174805,sub-10_ses-1_task-encoding_run-2_bold,mm
fd_mean,0.0600320169264559,sub-10_ses-1_task-encoding_run-3_bold,mm
fd_mean,0.0628081755041255,sub-10_ses-1_task-encoding_run-4_bold,mm
fd_mean,0.0578523870792002,sub-10_ses-1_task-encoding_run-5_bold,mm
fd_mean,0.0600357385576749,sub-10_ses-1_task-encoding_run-6_bold,mm
fd_mean,0.0619775764799195,sub-10_ses-1_task-encoding_run-7_bold,mm
fd_mean,0.0690322196599227,sub-10_ses-1_task-encoding_run-8_bold,mm
fd_mean,0.0647851172672907,sub-10_ses-1_task-rest_run-1_bold,mm
fd_mean,0.0727061828648473,sub-10_ses-1_task-rest_run-2_bold,mm
fd_mean,0.0586264024766807,sub-10_ses-1_task-similarity_run-1_bold,mm
fd_mean,0.056359885196794,sub-10_ses-1_task-similarity_run-2_bold,mm
fd_mean,0.0528446783907038,sub-10_ses-2_task-encoding_run-1_bold,mm
fd_mean,0.0512486780102117,sub-10_ses-2_task-encoding_run-2_bold,mm
fd_mean,0.0516809357605202,sub-10_ses-2_task-encoding_run-3_bold,mm
fd_mean,0.0517116913284654,sub-10_ses-2_task-encoding_run-4_bold,mm
fd_mean,0.0497473118904147,sub-10_ses-2_task-encoding_run-5_bold,mm
fd_mean,0.0505109349675792,sub-10_ses-2_task-encoding_run-6_bold,mm
fd_mean,0.0576179884697108,sub-10_ses-2_task-encoding_run-7_bold,mm
fd_mean,0.0475944136729017,sub-10_ses-2_task-encoding_run-8_bold,mm
fd_mean,0.0647264352641808,sub-10_ses-2_task-rest_run-1_bold,mm
fd_mean,0.0524775912898274,sub-10_ses-2_task-similarity_run-1_bold,mm
fd_mean,0.058009719167117,sub-10_ses-2_task-similarity_run-2_bold,mm
fd_mean,0.0644427945702623,sub-11_ses-1_task-encoding_run-1_bold,mm
fd_mean,0.0794535117166849,sub-11_ses-1_task-encoding_run-2_bold,mm
fd_mean,0.1114594549503781,sub-11_ses-1_task-encoding_run-3_bold,mm
fd_mean,0.0727201683813448,sub-11_ses-1_task-encoding_run-4_bold,mm
fd_mean,0.0740949501318643,sub-11_ses-1_task-encoding_run-5_bold,mm
fd_mean,0.1014757536857424,sub-11_ses-1_task-encoding_run-6_bold,mm
fd_mean,0.0882184218018375,sub-11_ses-1_task-encoding_run-7_bold,mm
fd_mean,0.1011792799355868,sub-11_ses-1_task-encoding_run-8_bold,mm
fd_mean,0.0987108205621718,sub-11_ses-1_task-rest_run-1_bold,mm
fd_mean,0.0922149204410225,sub-11_ses-1_task-rest_run-2_bold,mm
fd_mean,0.1569234373499796,sub-11_ses-1_task-similarity_run-1_bold,mm
fd_mean,0.1298218987846418,sub-11_ses-1_task-similarity_run-2_bold,mm
fd_mean,0.1132913116644652,sub-11_ses-2_task-encoding_run-1_bold,mm
fd_mean,0.1419308302609229,sub-11_ses-2_task-encoding_run-2_bold,mm
fd_mean,0.1493274245901234,sub-11_ses-2_task-encoding_run-3_bold,mm
fd_mean,0.1784117258911008,sub-11_ses-2_task-encoding_run-4_bold,mm
fd_mean,0.1799788879187341,sub-11_ses-2_task-encoding_run-5_bold,mm
fd_mean,0.1811671786407898,sub-11_ses-2_task-encoding_run-6_bold,mm
fd_mean,0.1954588864065091,sub-11_ses-2_task-encoding_run-7_bold,mm
fd_mean,0.1843456561391382,sub-11_ses-2_task-encoding_run-8_bold,mm
fd_mean,0.1778461667866871,sub-11_ses-2_task-rest_run-1_bold,mm
fd_mean,0.1137204456560731,sub-11_ses-2_task-similarity_run-1_bold,mm
fd_mean,0.0944425538150321,sub-11_ses-2_task-similarity_run-2_bold,mm
fd_mean,0.0452031741883508,sub-13_ses-1_task-encoding_run-1_bold,mm
fd_mean,0.039068120038637,sub-13_ses-1_task-encoding_run-2_bold,mm
fd_mean,0.0602941403645597,sub-13_ses-1_task-encoding_run-3_bold,mm
fd_mean,0.056353679303706,sub-13_ses-1_task-encoding_run-4_bold,mm
fd_mean,0.057970432055055,sub-13_ses-1_task-encoding_run-5_bold,mm
fd_mean,0.044016476476629,sub-13_ses-1_task-encoding_run-6_bold,mm
fd_mean,0.0656924672318718,sub-13_ses-1_task-encoding_run-7_bold,mm
fd_mean,0.0547985196014639,sub-13_ses-1_task-encoding_run-8_bold,mm
fd_mean,0.0733457799592444,sub-13_ses-1_task-rest_run-1_bold,mm
fd_mean,0.0595473264912162,sub-13_ses-1_task-rest_run-2_bold,mm
fd_mean,0.0538996222718701,sub-13_ses-1_task-similarity_run-1_bold,mm
fd_mean,0.0457667662040275,sub-13_ses-1_task-similarity_run-2_bold,mm
fd_mean,0.0438038320869681,sub-13_ses-2_task-encoding_run-1_bold,mm
fd_mean,0.0444409140852714,sub-13_ses-2_task-encoding_run-2_bold,mm
fd_mean,0.043688288465824,sub-13_ses-2_task-encoding_run-3_bold,mm
fd_mean,0.042440631773421,sub-13_ses-2_task-encoding_run-4_bold,mm
fd_mean,0.0419680202718956,sub-13_ses-2_task-encoding_run-5_bold,mm
fd_mean,0.0511193389627678,sub-13_ses-2_task-encoding_run-6_bold,mm
fd_mean,0.0478639216382883,sub-13_ses-2_task-encoding_run-7_bold,mm
fd_mean,0.0505248151612616,sub-13_ses-2_task-encoding_run-8_bold,mm
fd_mean,0.058856928855557,sub-13_ses-2_task-rest_run-1_bold,mm
fd_mean,0.1097145784986168,sub-13_ses-2_task-similarity_run-1_bold,mm
fd_mean,0.0696260403376886,sub-13_ses-2_task-similarity_run-2_bold,mm
fd_mean,0.0440706968539691,sub-14_ses-1_task-encoding_run-1_bold,mm
fd_mean,0.0376570704097747,sub-14_ses-1_task-encoding_run-2_bold,mm
fd_mean,0.0493725801739842,sub-14_ses-1_task-encoding_run-3_bold,mm
fd_mean,0.0472583662200865,sub-14_ses-1_task-encoding_run-4_bold,mm
fd_mean,0.0438323492254337,sub-14_ses-1_task-encoding_run-5_bold,mm
fd_mean,0.0429799854954308,sub-14_ses-1_task-encoding_run-6_bold,mm
fd_mean,0.0380077842887746,sub-14_ses-1_task-encoding_run-7_bold,mm
fd_mean,0.0438154261915765,sub-14_ses-1_task-encoding_run-8_bold,mm
fd_mean,0.0521926238977606,sub-14_ses-1_task-rest_run-1_bold,mm
fd_mean,0.0437439496733569,sub-14_ses-1_task-rest_run-2_bold,mm
fd_mean,0.0409125118163553,sub-14_ses-1_task-similarity_run-1_bold,mm
fd_mean,0.046278915151907,sub-14_ses-1_task-similarity_run-2_bold,mm
fd_mean,0.0380050873595982,sub-14_ses-2_task-encoding_run-1_bold,mm
fd_mean,0.0416301242620453,sub-14_ses-2_task-encoding_run-2_bold,mm
fd_mean,0.0470039488445959,sub-14_ses-2_task-encoding_run-3_bold,mm
fd_mean,0.0502527769503852,sub-14_ses-2_task-encoding_run-4_bold,mm
fd_mean,0.0448084201329341,sub-14_ses-2_task-encoding_run-5_bold,mm
fd_mean,0.058732605176259,sub-14_ses-2_task-encoding_run-6_bold,mm
fd_mean,0.0530870275374731,sub-14_ses-2_task-encoding_run-7_bold,mm
fd_mean,0.0522528253485262,sub-14_ses-2_task-encoding_run-8_bold,mm
fd_mean,0.0546718767612872,sub-14_ses-2_task-rest_run-1_bold,mm
fd_mean,0.0745684383448508,sub-14_ses-2_task-similarity_run-1_bold,mm
fd_mean,0.0741359880255102,sub-14_ses-2_task-similarity_run-2_bold,mm
fd_mean,0.0499467113825738,sub-16_ses-1_task-encoding_run-1_bold,mm
fd_mean,0.0496074445865274,sub-16_ses-1_task-encoding_run-2_bold,mm
fd_mean,0.0484161269365938,sub-16_ses-1_task-encoding_run-3_bold,mm
fd_mean,0.04614668405988,sub-16_ses-1_task-encoding_run-4_bold,mm
fd_mean,0.0568938056438286,sub-16_ses-1_task-encoding_run-5_bold,mm
fd_mean,0.0648364736829602,sub-16_ses-1_task-encoding_run-6_bold,mm
fd_mean,0.0541561000947962,sub-16_ses-1_task-encoding_run-7_bold,mm
fd_mean,0.0417492525544889,sub-16_ses-1_task-encoding_run-8_bold,mm
fd_mean,0.0672959711121167,sub-16_ses-1_task-rest_run-1_bold,mm
fd_mean,0.086727041503154,sub-16_ses-1_task-rest_run-2_bold,mm
fd_mean,0.0713528177925189,sub-16_ses-1_task-similarity_run-1_bold,mm
fd_mean,0.0822553083759856,sub-16_ses-1_task-similarity_run-2_bold,mm
fd_mean,0.0539276968715311,sub-16_ses-2_task-encoding_run-1_bold,mm
fd_mean,0.0647050585685225,sub-16_ses-2_task-encoding_run-2_bold,mm
fd_mean,0.0628834837085354,sub-16_ses-2_task-encoding_run-3_bold,mm
fd_mean,0.0611794126810851,sub-16_ses-2_task-encoding_run-4_bold,mm
fd_mean,0.0806815542548135,sub-16_ses-2_task-encoding_run-5_bold,mm
fd_mean,0.0938481605334851,sub-16_ses-2_task-encoding_run-6_bold,mm
fd_mean,0.0953256553590039,sub-16_ses-2_task-encoding_run-7_bold,mm
fd_mean,0.1047899478275835,sub-16_ses-2_task-encoding_run-8_bold,mm
fd_mean,0.1840125528815088,sub-16_ses-2_task-rest_run-1_bold,mm
fd_mean,0.1967004792917611,sub-16_ses-2_task-similarity_run-1_bold,mm
fd_mean,0.2068825443385588,sub-16_ses-2_task-similarity_run-2_bold,mm
fd_mean,0.1277868738587547,sub-17_ses-1_task-encoding_run-1_bold,mm
fd_mean,0.0890667271040952,sub-17_ses-1_task-encoding_run-2_bold,mm
fd_mean,0.1114772312858374,sub-17_ses-1_task-encoding_run-3_bold,mm
fd_mean,0.1148221180202155,sub-17_ses-1_task-encoding_run-4_bold,mm
fd_mean,0.1075830365395671,sub-17_ses-1_task-encoding_run-5_bold,mm
fd_mean,0.1127035679980368,sub-17_ses-1_task-encoding_run-6_bold,mm
fd_mean,0.0811520901429036,sub-17_ses-1_task-encoding_run-7_bold,mm
fd_mean,0.0863507659306386,sub-17_ses-1_task-encoding_run-8_bold,mm
fd_mean,0.0968800005617874,sub-17_ses-1_task-rest_run-1_bold,mm
fd_mean,0.0998515502977889,sub-17_ses-1_task-rest_run-2_bold,mm
fd_mean,0.0891393296316929,sub-17_ses-1_task-similarity_run-1_bold,mm
fd_mean,0.0996782337778358,sub-17_ses-1_task-similarity_run-2_bold,mm
fd_mean,0.0957943777042114,sub-17_ses-2_task-encoding_run-1_bold,mm
fd_mean,0.0850945908378207,sub-17_ses-2_task-encoding_run-2_bold,mm
fd_mean,0.0892009391641232,sub-17_ses-2_task-encoding_run-3_bold,mm
fd_mean,0.0768516693049309,sub-17_ses-2_task-encoding_run-4_bold,mm
fd_mean,0.0820648797140059,sub-17_ses-2_task-encoding_run-5_bold,mm
fd_mean,0.0836188408538622,sub-17_ses-2_task-encoding_run-6_bold,mm
fd_mean,0.0873295341071662,sub-17_ses-2_task-encoding_run-7_bold,mm
fd_mean,0.0897416806470335,sub-17_ses-2_task-encoding_run-8_bold,mm
fd_mean,0.0962152073064088,sub-17_ses-2_task-rest_run-1_bold,mm
fd_mean,0.0985665930341139,sub-17_ses-2_task-similarity_run-1_bold,mm
fd_mean,0.0803731033498404,sub-17_ses-2_task-similarity_run-2_bold,mm
fd_mean,0.0678720848554457,sub-18_ses-1_task-encoding_run-1_bold,mm
fd_mean,0.0733336914955425,sub-18_ses-1_task-encoding_run-2_bold,mm
fd_mean,0.073366251529649,sub-18_ses-1_task-encoding_run-3_bold,mm
fd_mean,0.0632814103116136,sub-18_ses-1_task-encoding_run-4_bold,mm
fd_mean,0.0604674586641258,sub-18_ses-1_task-encoding_run-5_bold,mm
fd_mean,0.0652803682157258,sub-18_ses-1_task-encoding_run-6_bold,mm
fd_mean,0.0691853935771035,sub-18_ses-1_task-encoding_run-7_bold,mm
fd_mean,0.0603735585539123,sub-18_ses-1_task-encoding_run-8_bold,mm
fd_mean,0.0906361616377025,sub-18_ses-1_task-rest_run-1_bold,mm
fd_mean,0.0741861520116057,sub-18_ses-1_task-rest_run-2_bold,mm
fd_mean,0.1049085397306035,sub-18_ses-1_task-similarity_run-1_bold,mm
fd_mean,0.1139259456928957,sub-18_ses-1_task-similarity_run-2_bold,mm
fd_mean,0.0599396522349523,sub-18_ses-2_task-encoding_run-1_bold,mm
fd_mean,0.0588004895206588,sub-18_ses-2_task-encoding_run-2_bold,mm
fd_mean,0.0592392195628857,sub-18_ses-2_task-encoding_run-3_bold,mm
fd_mean,0.0651778442452096,sub-18_ses-2_task-encoding_run-4_bold,mm
fd_mean,0.0550377471507389,sub-18_ses-2_task-encoding_run-5_bold,mm
fd_mean,0.0551813800224565,sub-18_ses-2_task-encoding_run-6_bold,mm
fd_mean,0.0452168735480071,sub-18_ses-2_task-encoding_run-7_bold,mm
fd_mean,0.0462800408424374,sub-18_ses-2_task-encoding_run-8_bold,mm
fd_mean,0.0610399969395877,sub-18_ses-2_task-rest_run-1_bold,mm
fd_mean,0.0588632913046667,sub-18_ses-2_task-similarity_run-1_bold,mm
fd_mean,0.0625295548542539,sub-18_ses-2_task-similarity_run-2_bold,mm
fd_mean,0.0923888717796942,sub-19_ses-1_task-encoding_run-1_bold,mm
fd_mean,0.0913707694645401,sub-19_ses-1_task-encoding_run-2_bold,mm
fd_mean,0.113632778838932,sub-19_ses-1_task-encoding_run-3_bold,mm
fd_mean,0.1030136546067151,sub-19_ses-1_task-encoding_run-4_bold,mm
fd_mean,0.1116196814889087,sub-19_ses-1_task-encoding_run-5_bold,mm
fd_mean,0.1127535857013599,sub-19_ses-1_task-encoding_run-6_bold,mm
fd_mean,0.1177805717938626,sub-19_ses-1_task-encoding_run-7_bold,mm
fd_mean,0.1115190551633746,sub-19_ses-1_task-encoding_run-8_bold,mm
fd_mean,0.0904229572813557,sub-19_ses-1_task-rest_run-1_bold,mm
fd_mean,0.1079752464202783,sub-19_ses-1_task-rest_run-2_bold,mm
fd_mean,0.1085453231952624,sub-19_ses-1_task-similarity_run-1_bold,mm
fd_mean,0.0940462430437151,sub-19_ses-1_task-similarity_run-2_bold,mm
fd_mean,0.0835126415950106,sub-19_ses-2_task-encoding_run-1_bold,mm
fd_mean,0.0930338833763821,sub-19_ses-2_task-encoding_run-2_bold,mm
fd_mean,0.1047439023210971,sub-19_ses-2_task-encoding_run-3_bold,mm
fd_mean,0.0999914553226115,sub-19_ses-2_task-encoding_run-4_bold,mm
fd_mean,0.1179092417752468,sub-19_ses-2_task-encoding_run-5_bold,mm
fd_mean,0.1096081321984659,sub-19_ses-2_task-encoding_run-6_bold,mm
fd_mean,0.1046740322472185,sub-19_ses-2_task-encoding_run-7_bold,mm
fd_mean,0.1006321262263231,sub-19_ses-2_task-encoding_run-8_bold,mm
fd_mean,0.1159794421001872,sub-19_ses-2_task-rest_run-1_bold,mm
fd_mean,0.088165382292602,sub-19_ses-2_task-similarity_run-1_bold,mm
fd_mean,0.0913891580084004,sub-19_ses-2_task-similarity_run-2_bold,mm
fd_mean,0.0431716424455601,sub-20_ses-1_task-encoding_run-1_bold,mm
fd_mean,0.0495426162090983,sub-20_ses-1_task-encoding_run-2_bold,mm
fd_mean,0.0527524253500717,sub-20_ses-1_task-encoding_run-3_bold,mm
fd_mean,0.0583306947319086,sub-20_ses-1_task-encoding_run-4_bold,mm
fd_mean,0.0589796987450907,sub-20_ses-1_task-encoding_run-5_bold,mm
fd_mean,0.0652028110839296,sub-20_ses-1_task-encoding_run-6_bold,mm
fd_mean,0.0542811238259682,sub-20_ses-1_task-encoding_run-7_bold,mm
fd_mean,0.0502112268875731,sub-20_ses-1_task-encoding_run-8_bold,mm
fd_mean,0.046510275420847,sub-20_ses-1_task-rest_run-1_bold,mm
fd_mean,0.0451840708358032,sub-20_ses-1_task-rest_run-2_bold,mm
fd_mean,0.038846481558078,sub-20_ses-1_task-similarity_run-1_bold,mm
fd_mean,0.0444634144116907,sub-20_ses-1_task-similarity_run-2_bold,mm
fd_mean,0.0567567508172149,sub-20_ses-2_task-encoding_run-1_bold,mm
fd_mean,0.0554195008919914,sub-20_ses-2_task-encoding_run-2_bold,mm
fd_mean,0.0441761165535607,sub-20_ses-2_task-encoding_run-3_bold,mm
fd_mean,0.0557305551671235,sub-20_ses-2_task-encoding_run-4_bold,mm
fd_mean,0.0582748920402388,sub-20_ses-2_task-encoding_run-5_bold,mm
fd_mean,0.0603768602319745,sub-20_ses-2_task-encoding_run-6_bold,mm
fd_mean,0.0546695205972715,sub-20_ses-2_task-encoding_run-7_bold,mm
fd_mean,0.0611695188857503,sub-20_ses-2_task-encoding_run-8_bold,mm
fd_mean,0.0570677783884412,sub-20_ses-2_task-rest_run-1_bold,mm
fd_mean,0.0591784845787536,sub-20_ses-2_task-similarity_run-1_bold,mm
fd_mean,0.0536806406128073,sub-20_ses-2_task-similarity_run-2_bold,mm
fd_mean,0.0735126057261004,sub-25_ses-1_task-encoding_run-1_bold,mm
fd_mean,0.1522975346937311,sub-25_ses-1_task-encoding_run-2_bold,mm
fd_mean,0.0872208895441594,sub-25_ses-1_task-encoding_run-3_bold,mm
fd_mean,0.139006351898432,sub-25_ses-1_task-encoding_run-4_bold,mm
fd_mean,0.1025106330462032,sub-25_ses-1_task-encoding_run-5_bold,mm
fd_mean,0.1098928391524236,sub-25_ses-1_task-encoding_run-6_bold,mm
fd_mean,0.09372437482769,sub-25_ses-1_task-encoding_run-7_bold,mm
fd_mean,0.0883769834938739,sub-25_ses-1_task-encoding_run-8_bold,mm
fd_mean,0.063550129415435,sub-25_ses-1_task-rest_run-1_bold,mm
fd_mean,0.1034758501021262,sub-25_ses-1_task-rest_run-2_bold,mm
fd_mean,0.0935902648046896,sub-25_ses-1_task-similarity_run-1_bold,mm
fd_mean,0.0829606766187351,sub-25_ses-1_task-similarity_run-2_bold,mm
fd_mean,0.0676252322602389,sub-25_ses-2_task-encoding_run-1_bold,mm
fd_mean,0.0818406736525788,sub-25_ses-2_task-encoding_run-2_bold,mm
fd_mean,0.0723222956721341,sub-25_ses-2_task-encoding_run-3_bold,mm
fd_mean,0.0725827975108882,sub-25_ses-2_task-encoding_run-4_bold,mm
fd_mean,0.0897450640604749,sub-25_ses-2_task-encoding_run-5_bold,mm
fd_mean,0.0824811697624095,sub-25_ses-2_task-encoding_run-6_bold,mm
fd_mean,0.0627376720121439,sub-25_ses-2_task-encoding_run-7_bold,mm
fd_mean,0.076398579516008,sub-25_ses-2_task-encoding_run-8_bold,mm
fd_mean,0.0900005313658132,sub-25_ses-2_task-rest_run-1_bold,mm
fd_mean,0.0987340803859161,sub-25_ses-2_task-similarity_run-1_bold,mm
fd_mean,0.1080294986702296,sub-25_ses-2_task-similarity_run-2_bold,mm
fd_mean,0.0598372702724269,sub-26_ses-1_task-encoding_run-1_bold,mm
fd_mean,0.0790831288494268,sub-26_ses-1_task-encoding_run-2_bold,mm
fd_mean,0.1025024567499466,sub-26_ses-1_task-encoding_run-3_bold,mm
fd_mean,0.0838862340063276,sub-26_ses-1_task-encoding_run-4_bold,mm
fd_mean,0.1176189615241413,sub-26_ses-1_task-encoding_run-5_bold,mm
fd_mean,0.0942074526468928,sub-26_ses-1_task-encoding_run-6_bold,mm
fd_mean,0.0779867417944469,sub-26_ses-1_task-encoding_run-7_bold,mm
fd_mean,0.0808705274773122,sub-26_ses-1_task-encoding_run-8_bold,mm
fd_mean,0.0672975931295972,sub-26_ses-1_task-rest_run-1_bold,mm
fd_mean,0.1016171203286435,sub-26_ses-1_task-rest_run-2_bold,mm
fd_mean,0.0824342041546696,sub-26_ses-1_task-similarity_run-1_bold,mm
fd_mean,0.0744440451065774,sub-26_ses-1_task-similarity_run-2_bold,mm
fd_mean,0.0560178513029327,sub-26_ses-2_task-encoding_run-1_bold,mm
fd_mean,0.0583852541979811,sub-26_ses-2_task-encoding_run-2_bold,mm
fd_mean,0.0571557431461696,sub-26_ses-2_task-encoding_run-3_bold,mm
fd_mean,0.0566162140515094,sub-26_ses-2_task-encoding_run-4_bold,mm
fd_mean,0.0760258913526741,sub-26_ses-2_task-encoding_run-5_bold,mm
fd_mean,0.0795189010419157,sub-26_ses-2_task-encoding_run-6_bold,mm
fd_mean,0.0772596794351722,sub-26_ses-2_task-encoding_run-7_bold,mm
fd_mean,0.1038859467955487,sub-26_ses-2_task-encoding_run-8_bold,mm
fd_mean,0.1143642620413084,sub-26_ses-2_task-rest_run-1_bold,mm
fd_mean,0.1057948411838023,sub-26_ses-2_task-similarity_run-1_bold,mm
fd_mean,0.1071710471413761,sub-26_ses-2_task-similarity_run-2_bold,mm
fd_mean,0.0479150726455271,sub-27_ses-1_task-encoding_run-1_bold,mm
fd_mean,0.0531907298628644,sub-27_ses-1_task-encoding_run-2_bold,mm
fd_mean,0.0604733656185469,sub-27_ses-1_task-encoding_run-3_bold,mm
fd_mean,0.049640312386128,sub-27_ses-1_task-encoding_run-4_bold,mm
fd_mean,0.0545637315454855,sub-27_ses-1_task-encoding_run-5_bold,mm
fd_mean,0.0679932274273855,sub-27_ses-1_task-encoding_run-6_bold,mm
fd_mean,0.0695232470399551,sub-27_ses-1_task-encoding_run-7_bold,mm
fd_mean,0.0742046598291971,sub-27_ses-1_task-encoding_run-8_bold,mm
fd_mean,0.0481225575821829,sub-27_ses-1_task-rest_run-1_bold,mm
fd_mean,0.0830713738356389,sub-27_ses-1_task-rest_run-2_bold,mm
fd_mean,0.0581518947936239,sub-27_ses-1_task-similarity_run-1_bold,mm
fd_mean,0.0809058781584061,sub-27_ses-1_task-similarity_run-2_bold,mm
fd_mean,0.0522809849671213,sub-27_ses-2_task-encoding_run-1_bold,mm
fd_mean,0.0781851300146233,sub-27_ses-2_task-encoding_run-2_bold,mm
fd_mean,0.0667613605045634,sub-27_ses-2_task-encoding_run-3_bold,mm
fd_mean,0.0627541343031434,sub-27_ses-2_task-encoding_run-4_bold,mm
fd_mean,0.0787771364333588,sub-27_ses-2_task-encoding_run-5_bold,mm
fd_mean,0.0710697201380221,sub-27_ses-2_task-encoding_run-6_bold,mm
fd_mean,0.0694286170393285,sub-27_ses-2_task-encoding_run-7_bold,mm
fd_mean,0.0508431517348748,sub-27_ses-2_task-encoding_run-8_bold,mm
fd_mean,0.0789821282936384,sub-27_ses-2_task-rest_run-1_bold,mm
fd_mean,0.1089935231478632,sub-27_ses-2_task-similarity_run-1_bold,mm
fd_mean,0.1020811801360504,sub-27_ses-2_task-similarity_run-2_bold,mm
fd_mean,0.1012287966755989,sub-28_ses-1_task-encoding_run-1_bold,mm
fd_mean,0.1137446509038054,sub-28_ses-1_task-encoding_run-2_bold,mm
fd_mean,0.1265594130072084,sub-28_ses-1_task-encoding_run-3_bold,mm
fd_mean,0.1040758771334655,sub-28_ses-1_task-encoding_run-4_bold,mm
fd_mean,0.0949892966445289,sub-28_ses-1_task-encoding_run-5_bold,mm
fd_mean,0.0884881720070442,sub-28_ses-1_task-encoding_run-6_bold,mm
fd_mean,0.0846896767251078,sub-28_ses-1_task-encoding_run-7_bold,mm
fd_mean,0.0944592806899227,sub-28_ses-1_task-encoding_run-8_bold,mm
fd_mean,0.1101024954460606,sub-28_ses-1_task-rest_run-1_bold,mm
fd_mean,0.1015655733745544,sub-28_ses-1_task-rest_run-2_bold,mm
fd_mean,0.1044497590704726,sub-28_ses-1_task-similarity_run-1_bold,mm
fd_mean,0.0948655551464684,sub-28_ses-1_task-similarity_run-2_bold,mm
fd_mean,0.0845953388359362,sub-28_ses-2_task-encoding_run-1_bold,mm
fd_mean,0.0735578480450115,sub-28_ses-2_task-encoding_run-2_bold,mm
fd_mean,0.0817287794318376,sub-28_ses-2_task-encoding_run-3_bold,mm
fd_mean,0.086504785957797,sub-28_ses-2_task-encoding_run-4_bold,mm
fd_mean,0.1088247012000745,sub-28_ses-2_task-encoding_run-5_bold,mm
fd_mean,0.0853139171686566,sub-28_ses-2_task-encoding_run-6_bold,mm
fd_mean,0.094089675699082,sub-28_ses-2_task-encoding_run-7_bold,mm
fd_mean,0.0831312397896735,sub-28_ses-2_task-encoding_run-8_bold,mm
fd_mean,0.1066393855521473,sub-28_ses-2_task-rest_run-1_bold,mm
fd_mean,0.1046401900946523,sub-28_ses-2_task-similarity_run-1_bold,mm
fd_mean,0.0933782757536415,sub-28_ses-2_task-similarity_run-2_bold,mm
</pre>
<div class="chart-wrapper" id="chart-group8"></div>
<pre class="csvdata" id="data-csv8" style="display: none">
iqm,value,label,units
fd_num,10,sub-01_ses-1_task-encoding_run-1_bold,# timepoints
fd_num,21,sub-01_ses-1_task-encoding_run-2_bold,# timepoints
fd_num,27,sub-01_ses-1_task-encoding_run-3_bold,# timepoints
fd_num,20,sub-01_ses-1_task-encoding_run-4_bold,# timepoints
fd_num,14,sub-01_ses-1_task-encoding_run-5_bold,# timepoints
fd_num,20,sub-01_ses-1_task-encoding_run-6_bold,# timepoints
fd_num,10,sub-01_ses-1_task-encoding_run-7_bold,# timepoints
fd_num,2,sub-01_ses-1_task-encoding_run-8_bold,# timepoints
fd_num,22,sub-01_ses-1_task-rest_run-1_bold,# timepoints
fd_num,34,sub-01_ses-1_task-similarity_run-1_bold,# timepoints
fd_num,66,sub-01_ses-1_task-similarity_run-2_bold,# timepoints
fd_num,18,sub-01_ses-2_task-encoding_run-1_bold,# timepoints
fd_num,27,sub-01_ses-2_task-encoding_run-2_bold,# timepoints
fd_num,29,sub-01_ses-2_task-encoding_run-3_bold,# timepoints
fd_num,31,sub-01_ses-2_task-encoding_run-4_bold,# timepoints
fd_num,46,sub-01_ses-2_task-encoding_run-5_bold,# timepoints
fd_num,2,sub-01_ses-2_task-encoding_run-6_bold,# timepoints
fd_num,27,sub-01_ses-2_task-encoding_run-7_bold,# timepoints
fd_num,19,sub-01_ses-2_task-encoding_run-8_bold,# timepoints
fd_num,30,sub-01_ses-2_task-rest_run-1_bold,# timepoints
fd_num,60,sub-01_ses-2_task-similarity_run-1_bold,# timepoints
fd_num,83,sub-01_ses-2_task-similarity_run-2_bold,# timepoints
fd_num,5,sub-02_ses-1_task-encoding_run-1_bold,# timepoints
fd_num,0,sub-02_ses-1_task-encoding_run-2_bold,# timepoints
fd_num,0,sub-02_ses-1_task-encoding_run-3_bold,# timepoints
fd_num,0,sub-02_ses-1_task-encoding_run-4_bold,# timepoints
fd_num,0,sub-02_ses-1_task-encoding_run-5_bold,# timepoints
fd_num,0,sub-02_ses-1_task-encoding_run-6_bold,# timepoints
fd_num,1,sub-02_ses-1_task-encoding_run-7_bold,# timepoints
fd_num,1,sub-02_ses-1_task-encoding_run-8_bold,# timepoints
fd_num,3,sub-02_ses-1_task-rest_run-1_bold,# timepoints
fd_num,6,sub-02_ses-1_task-rest_run-2_bold,# timepoints
fd_num,5,sub-02_ses-1_task-similarity_run-1_bold,# timepoints
fd_num,6,sub-02_ses-1_task-similarity_run-2_bold,# timepoints
fd_num,0,sub-02_ses-2_task-encoding_run-1_bold,# timepoints
fd_num,2,sub-02_ses-2_task-encoding_run-2_bold,# timepoints
fd_num,5,sub-02_ses-2_task-encoding_run-3_bold,# timepoints
fd_num,3,sub-02_ses-2_task-encoding_run-4_bold,# timepoints
fd_num,2,sub-02_ses-2_task-encoding_run-5_bold,# timepoints
fd_num,2,sub-02_ses-2_task-encoding_run-6_bold,# timepoints
fd_num,0,sub-02_ses-2_task-encoding_run-7_bold,# timepoints
fd_num,1,sub-02_ses-2_task-encoding_run-8_bold,# timepoints
fd_num,8,sub-02_ses-2_task-rest_run-1_bold,# timepoints
fd_num,2,sub-02_ses-2_task-similarity_run-1_bold,# timepoints
fd_num,5,sub-02_ses-2_task-similarity_run-2_bold,# timepoints
fd_num,8,sub-03_ses-1_task-encoding_run-1_bold,# timepoints
fd_num,0,sub-03_ses-1_task-encoding_run-2_bold,# timepoints
fd_num,2,sub-03_ses-1_task-encoding_run-3_bold,# timepoints
fd_num,1,sub-03_ses-1_task-encoding_run-4_bold,# timepoints
fd_num,2,sub-03_ses-1_task-encoding_run-5_bold,# timepoints
fd_num,6,sub-03_ses-1_task-encoding_run-6_bold,# timepoints
fd_num,0,sub-03_ses-1_task-encoding_run-7_bold,# timepoints
fd_num,1,sub-03_ses-1_task-encoding_run-8_bold,# timepoints
fd_num,0,sub-03_ses-1_task-rest_run-1_bold,# timepoints
fd_num,0,sub-03_ses-1_task-rest_run-2_bold,# timepoints
fd_num,0,sub-03_ses-1_task-similarity_run-1_bold,# timepoints
fd_num,5,sub-03_ses-1_task-similarity_run-2_bold,# timepoints
fd_num,0,sub-03_ses-2_task-encoding_run-1_bold,# timepoints
fd_num,3,sub-03_ses-2_task-encoding_run-2_bold,# timepoints
fd_num,1,sub-03_ses-2_task-encoding_run-3_bold,# timepoints
fd_num,0,sub-03_ses-2_task-encoding_run-4_bold,# timepoints
fd_num,2,sub-03_ses-2_task-encoding_run-5_bold,# timepoints
fd_num,2,sub-03_ses-2_task-encoding_run-6_bold,# timepoints
fd_num,3,sub-03_ses-2_task-encoding_run-7_bold,# timepoints
fd_num,3,sub-03_ses-2_task-encoding_run-8_bold,# timepoints
fd_num,3,sub-03_ses-2_task-rest_run-1_bold,# timepoints
fd_num,2,sub-03_ses-2_task-similarity_run-1_bold,# timepoints
fd_num,1,sub-03_ses-2_task-similarity_run-2_bold,# timepoints
fd_num,1,sub-04_ses-1_task-encoding_run-1_bold,# timepoints
fd_num,0,sub-04_ses-1_task-encoding_run-2_bold,# timepoints
fd_num,0,sub-04_ses-1_task-encoding_run-3_bold,# timepoints
fd_num,1,sub-04_ses-1_task-encoding_run-4_bold,# timepoints
fd_num,4,sub-04_ses-1_task-encoding_run-5_bold,# timepoints
fd_num,6,sub-04_ses-1_task-encoding_run-6_bold,# timepoints
fd_num,10,sub-04_ses-1_task-encoding_run-7_bold,# timepoints
fd_num,6,sub-04_ses-1_task-encoding_run-8_bold,# timepoints
fd_num,10,sub-04_ses-1_task-rest_run-1_bold,# timepoints
fd_num,7,sub-04_ses-1_task-rest_run-2_bold,# timepoints
fd_num,19,sub-04_ses-1_task-similarity_run-1_bold,# timepoints
fd_num,51,sub-04_ses-1_task-similarity_run-2_bold,# timepoints
fd_num,5,sub-04_ses-2_task-encoding_run-1_bold,# timepoints
fd_num,4,sub-04_ses-2_task-encoding_run-2_bold,# timepoints
fd_num,10,sub-04_ses-2_task-encoding_run-3_bold,# timepoints
fd_num,5,sub-04_ses-2_task-encoding_run-4_bold,# timepoints
fd_num,4,sub-04_ses-2_task-encoding_run-5_bold,# timepoints
fd_num,6,sub-04_ses-2_task-encoding_run-6_bold,# timepoints
fd_num,15,sub-04_ses-2_task-encoding_run-7_bold,# timepoints
fd_num,15,sub-04_ses-2_task-encoding_run-8_bold,# timepoints
fd_num,8,sub-04_ses-2_task-rest_run-1_bold,# timepoints
fd_num,18,sub-04_ses-2_task-similarity_run-1_bold,# timepoints
fd_num,22,sub-04_ses-2_task-similarity_run-2_bold,# timepoints
fd_num,55,sub-06_ses-1_task-encoding_run-1_bold,# timepoints
fd_num,14,sub-06_ses-1_task-encoding_run-2_bold,# timepoints
fd_num,37,sub-06_ses-1_task-encoding_run-3_bold,# timepoints
fd_num,13,sub-06_ses-1_task-encoding_run-4_bold,# timepoints
fd_num,87,sub-06_ses-1_task-encoding_run-5_bold,# timepoints
fd_num,19,sub-06_ses-1_task-encoding_run-6_bold,# timepoints
fd_num,8,sub-06_ses-1_task-encoding_run-7_bold,# timepoints
fd_num,37,sub-06_ses-1_task-encoding_run-8_bold,# timepoints
fd_num,43,sub-06_ses-1_task-rest_run-1_bold,# timepoints
fd_num,121,sub-06_ses-1_task-rest_run-2_bold,# timepoints
fd_num,132,sub-06_ses-1_task-similarity_run-1_bold,# timepoints
fd_num,66,sub-06_ses-1_task-similarity_run-2_bold,# timepoints
fd_num,8,sub-06_ses-2_task-encoding_run-1_bold,# timepoints
fd_num,8,sub-06_ses-2_task-encoding_run-2_bold,# timepoints
fd_num,27,sub-06_ses-2_task-encoding_run-3_bold,# timepoints
fd_num,38,sub-06_ses-2_task-encoding_run-4_bold,# timepoints
fd_num,38,sub-06_ses-2_task-encoding_run-5_bold,# timepoints
fd_num,33,sub-06_ses-2_task-encoding_run-6_bold,# timepoints
fd_num,38,sub-06_ses-2_task-encoding_run-7_bold,# timepoints
fd_num,30,sub-06_ses-2_task-encoding_run-8_bold,# timepoints
fd_num,37,sub-06_ses-2_task-rest_run-1_bold,# timepoints
fd_num,47,sub-06_ses-2_task-similarity_run-1_bold,# timepoints
fd_num,103,sub-06_ses-2_task-similarity_run-2_bold,# timepoints
fd_num,0,sub-08_ses-1_task-encoding_run-1_bold,# timepoints
fd_num,0,sub-08_ses-1_task-encoding_run-2_bold,# timepoints
fd_num,3,sub-08_ses-1_task-encoding_run-3_bold,# timepoints
fd_num,8,sub-08_ses-1_task-encoding_run-4_bold,# timepoints
fd_num,4,sub-08_ses-1_task-encoding_run-5_bold,# timepoints
fd_num,2,sub-08_ses-1_task-encoding_run-6_bold,# timepoints
fd_num,3,sub-08_ses-1_task-encoding_run-7_bold,# timepoints
fd_num,4,sub-08_ses-1_task-encoding_run-8_bold,# timepoints
fd_num,0,sub-08_ses-1_task-rest_run-1_bold,# timepoints
fd_num,12,sub-08_ses-1_task-rest_run-2_bold,# timepoints
fd_num,2,sub-08_ses-1_task-similarity_run-1_bold,# timepoints
fd_num,47,sub-08_ses-1_task-similarity_run-2_bold,# timepoints
fd_num,2,sub-08_ses-2_task-encoding_run-1_bold,# timepoints
fd_num,0,sub-08_ses-2_task-encoding_run-2_bold,# timepoints
fd_num,4,sub-08_ses-2_task-encoding_run-3_bold,# timepoints
fd_num,0,sub-08_ses-2_task-encoding_run-4_bold,# timepoints
fd_num,1,sub-08_ses-2_task-encoding_run-5_bold,# timepoints
fd_num,1,sub-08_ses-2_task-encoding_run-6_bold,# timepoints
fd_num,1,sub-08_ses-2_task-encoding_run-7_bold,# timepoints
fd_num,5,sub-08_ses-2_task-encoding_run-8_bold,# timepoints
fd_num,16,sub-08_ses-2_task-rest_run-1_bold,# timepoints
fd_num,19,sub-08_ses-2_task-similarity_run-1_bold,# timepoints
fd_num,14,sub-08_ses-2_task-similarity_run-2_bold,# timepoints
fd_num,2,sub-09_ses-1_task-encoding_run-1_bold,# timepoints
fd_num,1,sub-09_ses-1_task-encoding_run-2_bold,# timepoints
fd_num,1,sub-09_ses-1_task-encoding_run-3_bold,# timepoints
fd_num,2,sub-09_ses-1_task-encoding_run-4_bold,# timepoints
fd_num,1,sub-09_ses-1_task-encoding_run-5_bold,# timepoints
fd_num,1,sub-09_ses-1_task-encoding_run-6_bold,# timepoints
fd_num,1,sub-09_ses-1_task-encoding_run-7_bold,# timepoints
fd_num,2,sub-09_ses-1_task-encoding_run-8_bold,# timepoints
fd_num,1,sub-09_ses-1_task-rest_run-1_bold,# timepoints
fd_num,3,sub-09_ses-1_task-rest_run-2_bold,# timepoints
fd_num,3,sub-09_ses-1_task-similarity_run-1_bold,# timepoints
fd_num,0,sub-09_ses-1_task-similarity_run-2_bold,# timepoints
fd_num,9,sub-09_ses-2_task-encoding_run-1_bold,# timepoints
fd_num,0,sub-09_ses-2_task-encoding_run-2_bold,# timepoints
fd_num,3,sub-09_ses-2_task-encoding_run-3_bold,# timepoints
fd_num,9,sub-09_ses-2_task-encoding_run-4_bold,# timepoints
fd_num,3,sub-09_ses-2_task-encoding_run-5_bold,# timepoints
fd_num,1,sub-09_ses-2_task-encoding_run-6_bold,# timepoints
fd_num,2,sub-09_ses-2_task-encoding_run-7_bold,# timepoints
fd_num,1,sub-09_ses-2_task-encoding_run-8_bold,# timepoints
fd_num,0,sub-09_ses-2_task-rest_run-1_bold,# timepoints
fd_num,3,sub-09_ses-2_task-similarity_run-1_bold,# timepoints
fd_num,4,sub-09_ses-2_task-similarity_run-2_bold,# timepoints
fd_num,2,sub-10_ses-1_task-encoding_run-1_bold,# timepoints
fd_num,0,sub-10_ses-1_task-encoding_run-2_bold,# timepoints
fd_num,0,sub-10_ses-1_task-encoding_run-3_bold,# timepoints
fd_num,0,sub-10_ses-1_task-encoding_run-4_bold,# timepoints
fd_num,2,sub-10_ses-1_task-encoding_run-5_bold,# timepoints
fd_num,2,sub-10_ses-1_task-encoding_run-6_bold,# timepoints
fd_num,3,sub-10_ses-1_task-encoding_run-7_bold,# timepoints
fd_num,3,sub-10_ses-1_task-encoding_run-8_bold,# timepoints
fd_num,2,sub-10_ses-1_task-rest_run-1_bold,# timepoints
fd_num,2,sub-10_ses-1_task-rest_run-2_bold,# timepoints
fd_num,0,sub-10_ses-1_task-similarity_run-1_bold,# timepoints
fd_num,0,sub-10_ses-1_task-similarity_run-2_bold,# timepoints
fd_num,0,sub-10_ses-2_task-encoding_run-1_bold,# timepoints
fd_num,1,sub-10_ses-2_task-encoding_run-2_bold,# timepoints
fd_num,1,sub-10_ses-2_task-encoding_run-3_bold,# timepoints
fd_num,2,sub-10_ses-2_task-encoding_run-4_bold,# timepoints
fd_num,0,sub-10_ses-2_task-encoding_run-5_bold,# timepoints
fd_num,0,sub-10_ses-2_task-encoding_run-6_bold,# timepoints
fd_num,0,sub-10_ses-2_task-encoding_run-7_bold,# timepoints
fd_num,0,sub-10_ses-2_task-encoding_run-8_bold,# timepoints
fd_num,0,sub-10_ses-2_task-rest_run-1_bold,# timepoints
fd_num,0,sub-10_ses-2_task-similarity_run-1_bold,# timepoints
fd_num,0,sub-10_ses-2_task-similarity_run-2_bold,# timepoints
fd_num,3,sub-11_ses-1_task-encoding_run-1_bold,# timepoints
fd_num,6,sub-11_ses-1_task-encoding_run-2_bold,# timepoints
fd_num,18,sub-11_ses-1_task-encoding_run-3_bold,# timepoints
fd_num,6,sub-11_ses-1_task-encoding_run-4_bold,# timepoints
fd_num,4,sub-11_ses-1_task-encoding_run-5_bold,# timepoints
fd_num,12,sub-11_ses-1_task-encoding_run-6_bold,# timepoints
fd_num,9,sub-11_ses-1_task-encoding_run-7_bold,# timepoints
fd_num,17,sub-11_ses-1_task-encoding_run-8_bold,# timepoints
fd_num,9,sub-11_ses-1_task-rest_run-1_bold,# timepoints
fd_num,12,sub-11_ses-1_task-rest_run-2_bold,# timepoints
fd_num,92,sub-11_ses-1_task-similarity_run-1_bold,# timepoints
fd_num,53,sub-11_ses-1_task-similarity_run-2_bold,# timepoints
fd_num,14,sub-11_ses-2_task-encoding_run-1_bold,# timepoints
fd_num,31,sub-11_ses-2_task-encoding_run-2_bold,# timepoints
fd_num,33,sub-11_ses-2_task-encoding_run-3_bold,# timepoints
fd_num,47,sub-11_ses-2_task-encoding_run-4_bold,# timepoints
fd_num,50,sub-11_ses-2_task-encoding_run-5_bold,# timepoints
fd_num,52,sub-11_ses-2_task-encoding_run-6_bold,# timepoints
fd_num,53,sub-11_ses-2_task-encoding_run-7_bold,# timepoints
fd_num,47,sub-11_ses-2_task-encoding_run-8_bold,# timepoints
fd_num,56,sub-11_ses-2_task-rest_run-1_bold,# timepoints
fd_num,44,sub-11_ses-2_task-similarity_run-1_bold,# timepoints
fd_num,19,sub-11_ses-2_task-similarity_run-2_bold,# timepoints
fd_num,0,sub-13_ses-1_task-encoding_run-1_bold,# timepoints
fd_num,0,sub-13_ses-1_task-encoding_run-2_bold,# timepoints
fd_num,2,sub-13_ses-1_task-encoding_run-3_bold,# timepoints
fd_num,1,sub-13_ses-1_task-encoding_run-4_bold,# timepoints
fd_num,2,sub-13_ses-1_task-encoding_run-5_bold,# timepoints
fd_num,0,sub-13_ses-1_task-encoding_run-6_bold,# timepoints
fd_num,0,sub-13_ses-1_task-encoding_run-7_bold,# timepoints
fd_num,3,sub-13_ses-1_task-encoding_run-8_bold,# timepoints
fd_num,2,sub-13_ses-1_task-rest_run-1_bold,# timepoints
fd_num,2,sub-13_ses-1_task-rest_run-2_bold,# timepoints
fd_num,1,sub-13_ses-1_task-similarity_run-1_bold,# timepoints
fd_num,0,sub-13_ses-1_task-similarity_run-2_bold,# timepoints
fd_num,0,sub-13_ses-2_task-encoding_run-1_bold,# timepoints
fd_num,0,sub-13_ses-2_task-encoding_run-2_bold,# timepoints
fd_num,0,sub-13_ses-2_task-encoding_run-3_bold,# timepoints
fd_num,0,sub-13_ses-2_task-encoding_run-4_bold,# timepoints
fd_num,0,sub-13_ses-2_task-encoding_run-5_bold,# timepoints
fd_num,0,sub-13_ses-2_task-encoding_run-6_bold,# timepoints
fd_num,0,sub-13_ses-2_task-encoding_run-7_bold,# timepoints
fd_num,0,sub-13_ses-2_task-encoding_run-8_bold,# timepoints
fd_num,0,sub-13_ses-2_task-rest_run-1_bold,# timepoints
fd_num,30,sub-13_ses-2_task-similarity_run-1_bold,# timepoints
fd_num,11,sub-13_ses-2_task-similarity_run-2_bold,# timepoints
fd_num,0,sub-14_ses-1_task-encoding_run-1_bold,# timepoints
fd_num,0,sub-14_ses-1_task-encoding_run-2_bold,# timepoints
fd_num,4,sub-14_ses-1_task-encoding_run-3_bold,# timepoints
fd_num,0,sub-14_ses-1_task-encoding_run-4_bold,# timepoints
fd_num,0,sub-14_ses-1_task-encoding_run-5_bold,# timepoints
fd_num,0,sub-14_ses-1_task-encoding_run-6_bold,# timepoints
fd_num,0,sub-14_ses-1_task-encoding_run-7_bold,# timepoints
fd_num,0,sub-14_ses-1_task-encoding_run-8_bold,# timepoints
fd_num,0,sub-14_ses-1_task-rest_run-1_bold,# timepoints
fd_num,0,sub-14_ses-1_task-rest_run-2_bold,# timepoints
fd_num,0,sub-14_ses-1_task-similarity_run-1_bold,# timepoints
fd_num,3,sub-14_ses-1_task-similarity_run-2_bold,# timepoints
fd_num,0,sub-14_ses-2_task-encoding_run-1_bold,# timepoints
fd_num,2,sub-14_ses-2_task-encoding_run-2_bold,# timepoints
fd_num,5,sub-14_ses-2_task-encoding_run-3_bold,# timepoints
fd_num,4,sub-14_ses-2_task-encoding_run-4_bold,# timepoints
fd_num,0,sub-14_ses-2_task-encoding_run-5_bold,# timepoints
fd_num,3,sub-14_ses-2_task-encoding_run-6_bold,# timepoints
fd_num,2,sub-14_ses-2_task-encoding_run-7_bold,# timepoints
fd_num,5,sub-14_ses-2_task-encoding_run-8_bold,# timepoints
fd_num,4,sub-14_ses-2_task-rest_run-1_bold,# timepoints
fd_num,23,sub-14_ses-2_task-similarity_run-1_bold,# timepoints
fd_num,26,sub-14_ses-2_task-similarity_run-2_bold,# timepoints
fd_num,0,sub-16_ses-1_task-encoding_run-1_bold,# timepoints
fd_num,3,sub-16_ses-1_task-encoding_run-2_bold,# timepoints
fd_num,1,sub-16_ses-1_task-encoding_run-3_bold,# timepoints
fd_num,2,sub-16_ses-1_task-encoding_run-4_bold,# timepoints
fd_num,3,sub-16_ses-1_task-encoding_run-5_bold,# timepoints
fd_num,5,sub-16_ses-1_task-encoding_run-6_bold,# timepoints
fd_num,1,sub-16_ses-1_task-encoding_run-7_bold,# timepoints
fd_num,1,sub-16_ses-1_task-encoding_run-8_bold,# timepoints
fd_num,0,sub-16_ses-1_task-rest_run-1_bold,# timepoints
fd_num,6,sub-16_ses-1_task-rest_run-2_bold,# timepoints
fd_num,2,sub-16_ses-1_task-similarity_run-1_bold,# timepoints
fd_num,6,sub-16_ses-1_task-similarity_run-2_bold,# timepoints
fd_num,0,sub-16_ses-2_task-encoding_run-1_bold,# timepoints
fd_num,0,sub-16_ses-2_task-encoding_run-2_bold,# timepoints
fd_num,3,sub-16_ses-2_task-encoding_run-3_bold,# timepoints
fd_num,2,sub-16_ses-2_task-encoding_run-4_bold,# timepoints
fd_num,7,sub-16_ses-2_task-encoding_run-5_bold,# timepoints
fd_num,15,sub-16_ses-2_task-encoding_run-6_bold,# timepoints
fd_num,11,sub-16_ses-2_task-encoding_run-7_bold,# timepoints
fd_num,15,sub-16_ses-2_task-encoding_run-8_bold,# timepoints
fd_num,64,sub-16_ses-2_task-rest_run-1_bold,# timepoints
fd_num,113,sub-16_ses-2_task-similarity_run-1_bold,# timepoints
fd_num,115,sub-16_ses-2_task-similarity_run-2_bold,# timepoints
fd_num,18,sub-17_ses-1_task-encoding_run-1_bold,# timepoints
fd_num,6,sub-17_ses-1_task-encoding_run-2_bold,# timepoints
fd_num,8,sub-17_ses-1_task-encoding_run-3_bold,# timepoints
fd_num,8,sub-17_ses-1_task-encoding_run-4_bold,# timepoints
fd_num,6,sub-17_ses-1_task-encoding_run-5_bold,# timepoints
fd_num,14,sub-17_ses-1_task-encoding_run-6_bold,# timepoints
fd_num,4,sub-17_ses-1_task-encoding_run-7_bold,# timepoints
fd_num,0,sub-17_ses-1_task-encoding_run-8_bold,# timepoints
fd_num,3,sub-17_ses-1_task-rest_run-1_bold,# timepoints
fd_num,9,sub-17_ses-1_task-rest_run-2_bold,# timepoints
fd_num,7,sub-17_ses-1_task-similarity_run-1_bold,# timepoints
fd_num,8,sub-17_ses-1_task-similarity_run-2_bold,# timepoints
fd_num,6,sub-17_ses-2_task-encoding_run-1_bold,# timepoints
fd_num,1,sub-17_ses-2_task-encoding_run-2_bold,# timepoints
fd_num,2,sub-17_ses-2_task-encoding_run-3_bold,# timepoints
fd_num,1,sub-17_ses-2_task-encoding_run-4_bold,# timepoints
fd_num,0,sub-17_ses-2_task-encoding_run-5_bold,# timepoints
fd_num,0,sub-17_ses-2_task-encoding_run-6_bold,# timepoints
fd_num,3,sub-17_ses-2_task-encoding_run-7_bold,# timepoints
fd_num,2,sub-17_ses-2_task-encoding_run-8_bold,# timepoints
fd_num,4,sub-17_ses-2_task-rest_run-1_bold,# timepoints
fd_num,4,sub-17_ses-2_task-similarity_run-1_bold,# timepoints
fd_num,7,sub-17_ses-2_task-similarity_run-2_bold,# timepoints
fd_num,1,sub-18_ses-1_task-encoding_run-1_bold,# timepoints
fd_num,5,sub-18_ses-1_task-encoding_run-2_bold,# timepoints
fd_num,6,sub-18_ses-1_task-encoding_run-3_bold,# timepoints
fd_num,0,sub-18_ses-1_task-encoding_run-4_bold,# timepoints
fd_num,2,sub-18_ses-1_task-encoding_run-5_bold,# timepoints
fd_num,2,sub-18_ses-1_task-encoding_run-6_bold,# timepoints
fd_num,6,sub-18_ses-1_task-encoding_run-7_bold,# timepoints
fd_num,2,sub-18_ses-1_task-encoding_run-8_bold,# timepoints
fd_num,3,sub-18_ses-1_task-rest_run-1_bold,# timepoints
fd_num,2,sub-18_ses-1_task-rest_run-2_bold,# timepoints
fd_num,14,sub-18_ses-1_task-similarity_run-1_bold,# timepoints
fd_num,26,sub-18_ses-1_task-similarity_run-2_bold,# timepoints
fd_num,1,sub-18_ses-2_task-encoding_run-1_bold,# timepoints
fd_num,0,sub-18_ses-2_task-encoding_run-2_bold,# timepoints
fd_num,0,sub-18_ses-2_task-encoding_run-3_bold,# timepoints
fd_num,0,sub-18_ses-2_task-encoding_run-4_bold,# timepoints
fd_num,0,sub-18_ses-2_task-encoding_run-5_bold,# timepoints
fd_num,0,sub-18_ses-2_task-encoding_run-6_bold,# timepoints
fd_num,0,sub-18_ses-2_task-encoding_run-7_bold,# timepoints
fd_num,0,sub-18_ses-2_task-encoding_run-8_bold,# timepoints
fd_num,2,sub-18_ses-2_task-rest_run-1_bold,# timepoints
fd_num,2,sub-18_ses-2_task-similarity_run-1_bold,# timepoints
fd_num,2,sub-18_ses-2_task-similarity_run-2_bold,# timepoints
fd_num,1,sub-19_ses-1_task-encoding_run-1_bold,# timepoints
fd_num,1,sub-19_ses-1_task-encoding_run-2_bold,# timepoints
fd_num,6,sub-19_ses-1_task-encoding_run-3_bold,# timepoints
fd_num,5,sub-19_ses-1_task-encoding_run-4_bold,# timepoints
fd_num,8,sub-19_ses-1_task-encoding_run-5_bold,# timepoints
fd_num,9,sub-19_ses-1_task-encoding_run-6_bold,# timepoints
fd_num,17,sub-19_ses-1_task-encoding_run-7_bold,# timepoints
fd_num,10,sub-19_ses-1_task-encoding_run-8_bold,# timepoints
fd_num,2,sub-19_ses-1_task-rest_run-1_bold,# timepoints
fd_num,14,sub-19_ses-1_task-rest_run-2_bold,# timepoints
fd_num,5,sub-19_ses-1_task-similarity_run-1_bold,# timepoints
fd_num,3,sub-19_ses-1_task-similarity_run-2_bold,# timepoints
fd_num,0,sub-19_ses-2_task-encoding_run-1_bold,# timepoints
fd_num,3,sub-19_ses-2_task-encoding_run-2_bold,# timepoints
fd_num,7,sub-19_ses-2_task-encoding_run-3_bold,# timepoints
fd_num,5,sub-19_ses-2_task-encoding_run-4_bold,# timepoints
fd_num,23,sub-19_ses-2_task-encoding_run-5_bold,# timepoints
fd_num,16,sub-19_ses-2_task-encoding_run-6_bold,# timepoints
fd_num,13,sub-19_ses-2_task-encoding_run-7_bold,# timepoints
fd_num,8,sub-19_ses-2_task-encoding_run-8_bold,# timepoints
fd_num,19,sub-19_ses-2_task-rest_run-1_bold,# timepoints
fd_num,10,sub-19_ses-2_task-similarity_run-1_bold,# timepoints
fd_num,12,sub-19_ses-2_task-similarity_run-2_bold,# timepoints
fd_num,3,sub-20_ses-1_task-encoding_run-1_bold,# timepoints
fd_num,2,sub-20_ses-1_task-encoding_run-2_bold,# timepoints
fd_num,3,sub-20_ses-1_task-encoding_run-3_bold,# timepoints
fd_num,4,sub-20_ses-1_task-encoding_run-4_bold,# timepoints
fd_num,3,sub-20_ses-1_task-encoding_run-5_bold,# timepoints
fd_num,3,sub-20_ses-1_task-encoding_run-6_bold,# timepoints
fd_num,4,sub-20_ses-1_task-encoding_run-7_bold,# timepoints
fd_num,1,sub-20_ses-1_task-encoding_run-8_bold,# timepoints
fd_num,0,sub-20_ses-1_task-rest_run-1_bold,# timepoints
fd_num,2,sub-20_ses-1_task-rest_run-2_bold,# timepoints
fd_num,2,sub-20_ses-1_task-similarity_run-1_bold,# timepoints
fd_num,0,sub-20_ses-1_task-similarity_run-2_bold,# timepoints
fd_num,2,sub-20_ses-2_task-encoding_run-1_bold,# timepoints
fd_num,2,sub-20_ses-2_task-encoding_run-2_bold,# timepoints
fd_num,0,sub-20_ses-2_task-encoding_run-3_bold,# timepoints
fd_num,1,sub-20_ses-2_task-encoding_run-4_bold,# timepoints
fd_num,2,sub-20_ses-2_task-encoding_run-5_bold,# timepoints
fd_num,2,sub-20_ses-2_task-encoding_run-6_bold,# timepoints
fd_num,2,sub-20_ses-2_task-encoding_run-7_bold,# timepoints
fd_num,1,sub-20_ses-2_task-encoding_run-8_bold,# timepoints
fd_num,0,sub-20_ses-2_task-rest_run-1_bold,# timepoints
fd_num,1,sub-20_ses-2_task-similarity_run-1_bold,# timepoints
fd_num,2,sub-20_ses-2_task-similarity_run-2_bold,# timepoints
fd_num,4,sub-25_ses-1_task-encoding_run-1_bold,# timepoints
fd_num,19,sub-25_ses-1_task-encoding_run-2_bold,# timepoints
fd_num,2,sub-25_ses-1_task-encoding_run-3_bold,# timepoints
fd_num,23,sub-25_ses-1_task-encoding_run-4_bold,# timepoints
fd_num,6,sub-25_ses-1_task-encoding_run-5_bold,# timepoints
fd_num,10,sub-25_ses-1_task-encoding_run-6_bold,# timepoints
fd_num,5,sub-25_ses-1_task-encoding_run-7_bold,# timepoints
fd_num,2,sub-25_ses-1_task-encoding_run-8_bold,# timepoints
fd_num,0,sub-25_ses-1_task-rest_run-1_bold,# timepoints
fd_num,7,sub-25_ses-1_task-rest_run-2_bold,# timepoints
fd_num,14,sub-25_ses-1_task-similarity_run-1_bold,# timepoints
fd_num,3,sub-25_ses-1_task-similarity_run-2_bold,# timepoints
fd_num,1,sub-25_ses-2_task-encoding_run-1_bold,# timepoints
fd_num,4,sub-25_ses-2_task-encoding_run-2_bold,# timepoints
fd_num,1,sub-25_ses-2_task-encoding_run-3_bold,# timepoints
fd_num,2,sub-25_ses-2_task-encoding_run-4_bold,# timepoints
fd_num,6,sub-25_ses-2_task-encoding_run-5_bold,# timepoints
fd_num,4,sub-25_ses-2_task-encoding_run-6_bold,# timepoints
fd_num,0,sub-25_ses-2_task-encoding_run-7_bold,# timepoints
fd_num,1,sub-25_ses-2_task-encoding_run-8_bold,# timepoints
fd_num,1,sub-25_ses-2_task-rest_run-1_bold,# timepoints
fd_num,12,sub-25_ses-2_task-similarity_run-1_bold,# timepoints
fd_num,16,sub-25_ses-2_task-similarity_run-2_bold,# timepoints
fd_num,0,sub-26_ses-1_task-encoding_run-1_bold,# timepoints
fd_num,9,sub-26_ses-1_task-encoding_run-2_bold,# timepoints
fd_num,13,sub-26_ses-1_task-encoding_run-3_bold,# timepoints
fd_num,9,sub-26_ses-1_task-encoding_run-4_bold,# timepoints
fd_num,24,sub-26_ses-1_task-encoding_run-5_bold,# timepoints
fd_num,9,sub-26_ses-1_task-encoding_run-6_bold,# timepoints
fd_num,4,sub-26_ses-1_task-encoding_run-7_bold,# timepoints
fd_num,3,sub-26_ses-1_task-encoding_run-8_bold,# timepoints
fd_num,3,sub-26_ses-1_task-rest_run-1_bold,# timepoints
fd_num,17,sub-26_ses-1_task-rest_run-2_bold,# timepoints
fd_num,8,sub-26_ses-1_task-similarity_run-1_bold,# timepoints
fd_num,6,sub-26_ses-1_task-similarity_run-2_bold,# timepoints
fd_num,3,sub-26_ses-2_task-encoding_run-1_bold,# timepoints
fd_num,2,sub-26_ses-2_task-encoding_run-2_bold,# timepoints
fd_num,1,sub-26_ses-2_task-encoding_run-3_bold,# timepoints
fd_num,0,sub-26_ses-2_task-encoding_run-4_bold,# timepoints
fd_num,5,sub-26_ses-2_task-encoding_run-5_bold,# timepoints
fd_num,7,sub-26_ses-2_task-encoding_run-6_bold,# timepoints
fd_num,6,sub-26_ses-2_task-encoding_run-7_bold,# timepoints
fd_num,13,sub-26_ses-2_task-encoding_run-8_bold,# timepoints
fd_num,13,sub-26_ses-2_task-rest_run-1_bold,# timepoints
fd_num,24,sub-26_ses-2_task-similarity_run-1_bold,# timepoints
fd_num,23,sub-26_ses-2_task-similarity_run-2_bold,# timepoints
fd_num,0,sub-27_ses-1_task-encoding_run-1_bold,# timepoints
fd_num,0,sub-27_ses-1_task-encoding_run-2_bold,# timepoints
fd_num,5,sub-27_ses-1_task-encoding_run-3_bold,# timepoints
fd_num,0,sub-27_ses-1_task-encoding_run-4_bold,# timepoints
fd_num,2,sub-27_ses-1_task-encoding_run-5_bold,# timepoints
fd_num,1,sub-27_ses-1_task-encoding_run-6_bold,# timepoints
fd_num,5,sub-27_ses-1_task-encoding_run-7_bold,# timepoints
fd_num,5,sub-27_ses-1_task-encoding_run-8_bold,# timepoints
fd_num,1,sub-27_ses-1_task-rest_run-1_bold,# timepoints
fd_num,14,sub-27_ses-1_task-rest_run-2_bold,# timepoints
fd_num,2,sub-27_ses-1_task-similarity_run-1_bold,# timepoints
fd_num,17,sub-27_ses-1_task-similarity_run-2_bold,# timepoints
fd_num,0,sub-27_ses-2_task-encoding_run-1_bold,# timepoints
fd_num,4,sub-27_ses-2_task-encoding_run-2_bold,# timepoints
fd_num,5,sub-27_ses-2_task-encoding_run-3_bold,# timepoints
fd_num,0,sub-27_ses-2_task-encoding_run-4_bold,# timepoints
fd_num,2,sub-27_ses-2_task-encoding_run-5_bold,# timepoints
fd_num,4,sub-27_ses-2_task-encoding_run-6_bold,# timepoints
fd_num,5,sub-27_ses-2_task-encoding_run-7_bold,# timepoints
fd_num,0,sub-27_ses-2_task-encoding_run-8_bold,# timepoints
fd_num,5,sub-27_ses-2_task-rest_run-1_bold,# timepoints
fd_num,41,sub-27_ses-2_task-similarity_run-1_bold,# timepoints
fd_num,31,sub-27_ses-2_task-similarity_run-2_bold,# timepoints
fd_num,15,sub-28_ses-1_task-encoding_run-1_bold,# timepoints
fd_num,22,sub-28_ses-1_task-encoding_run-2_bold,# timepoints
fd_num,22,sub-28_ses-1_task-encoding_run-3_bold,# timepoints
fd_num,13,sub-28_ses-1_task-encoding_run-4_bold,# timepoints
fd_num,8,sub-28_ses-1_task-encoding_run-5_bold,# timepoints
fd_num,11,sub-28_ses-1_task-encoding_run-6_bold,# timepoints
fd_num,11,sub-28_ses-1_task-encoding_run-7_bold,# timepoints
fd_num,16,sub-28_ses-1_task-encoding_run-8_bold,# timepoints
fd_num,20,sub-28_ses-1_task-rest_run-1_bold,# timepoints
fd_num,17,sub-28_ses-1_task-rest_run-2_bold,# timepoints
fd_num,37,sub-28_ses-1_task-similarity_run-1_bold,# timepoints
fd_num,33,sub-28_ses-1_task-similarity_run-2_bold,# timepoints
fd_num,16,sub-28_ses-2_task-encoding_run-1_bold,# timepoints
fd_num,8,sub-28_ses-2_task-encoding_run-2_bold,# timepoints
fd_num,13,sub-28_ses-2_task-encoding_run-3_bold,# timepoints
fd_num,16,sub-28_ses-2_task-encoding_run-4_bold,# timepoints
fd_num,20,sub-28_ses-2_task-encoding_run-5_bold,# timepoints
fd_num,14,sub-28_ses-2_task-encoding_run-6_bold,# timepoints
fd_num,20,sub-28_ses-2_task-encoding_run-7_bold,# timepoints
fd_num,14,sub-28_ses-2_task-encoding_run-8_bold,# timepoints
fd_num,23,sub-28_ses-2_task-rest_run-1_bold,# timepoints
fd_num,39,sub-28_ses-2_task-similarity_run-1_bold,# timepoints
fd_num,31,sub-28_ses-2_task-similarity_run-2_bold,# timepoints
</pre>
<div class="chart-wrapper" id="chart-group9"></div>
<pre class="csvdata" id="data-csv9" style="display: none">
iqm,value,label,units
fd_perc,6.451612903225806,sub-01_ses-1_task-encoding_run-1_bold,% timepoints
fd_perc,13.548387096774194,sub-01_ses-1_task-encoding_run-2_bold,% timepoints
fd_perc,17.307692307692307,sub-01_ses-1_task-encoding_run-3_bold,% timepoints
fd_perc,12.903225806451612,sub-01_ses-1_task-encoding_run-4_bold,% timepoints
fd_perc,8.974358974358974,sub-01_ses-1_task-encoding_run-5_bold,% timepoints
fd_perc,12.82051282051282,sub-01_ses-1_task-encoding_run-6_bold,% timepoints
fd_perc,6.410256410256411,sub-01_ses-1_task-encoding_run-7_bold,% timepoints
fd_perc,1.2903225806451613,sub-01_ses-1_task-encoding_run-8_bold,% timepoints
fd_perc,12.429378531073446,sub-01_ses-1_task-rest_run-1_bold,% timepoints
fd_perc,9.855072463768115,sub-01_ses-1_task-similarity_run-1_bold,% timepoints
fd_perc,19.130434782608692,sub-01_ses-1_task-similarity_run-2_bold,% timepoints
fd_perc,11.538461538461538,sub-01_ses-2_task-encoding_run-1_bold,% timepoints
fd_perc,17.307692307692307,sub-01_ses-2_task-encoding_run-2_bold,% timepoints
fd_perc,18.58974358974359,sub-01_ses-2_task-encoding_run-3_bold,% timepoints
fd_perc,19.871794871794872,sub-01_ses-2_task-encoding_run-4_bold,% timepoints
fd_perc,29.487179487179485,sub-01_ses-2_task-encoding_run-5_bold,% timepoints
fd_perc,1.2820512820512822,sub-01_ses-2_task-encoding_run-6_bold,% timepoints
fd_perc,17.419354838709676,sub-01_ses-2_task-encoding_run-7_bold,% timepoints
fd_perc,12.258064516129032,sub-01_ses-2_task-encoding_run-8_bold,% timepoints
fd_perc,16.949152542372882,sub-01_ses-2_task-rest_run-1_bold,% timepoints
fd_perc,17.341040462427745,sub-01_ses-2_task-similarity_run-1_bold,% timepoints
fd_perc,23.98843930635838,sub-01_ses-2_task-similarity_run-2_bold,% timepoints
fd_perc,3.2051282051282053,sub-02_ses-1_task-encoding_run-1_bold,% timepoints
fd_perc,0.0,sub-02_ses-1_task-encoding_run-2_bold,% timepoints
fd_perc,0.0,sub-02_ses-1_task-encoding_run-3_bold,% timepoints
fd_perc,0.0,sub-02_ses-1_task-encoding_run-4_bold,% timepoints
fd_perc,0.0,sub-02_ses-1_task-encoding_run-5_bold,% timepoints
fd_perc,0.0,sub-02_ses-1_task-encoding_run-6_bold,% timepoints
fd_perc,0.6451612903225806,sub-02_ses-1_task-encoding_run-7_bold,% timepoints
fd_perc,0.6451612903225806,sub-02_ses-1_task-encoding_run-8_bold,% timepoints
fd_perc,1.6853932584269662,sub-02_ses-1_task-rest_run-1_bold,% timepoints
fd_perc,3.389830508474576,sub-02_ses-1_task-rest_run-2_bold,% timepoints
fd_perc,1.4450867052023122,sub-02_ses-1_task-similarity_run-1_bold,% timepoints
fd_perc,1.7341040462427746,sub-02_ses-1_task-similarity_run-2_bold,% timepoints
fd_perc,0.0,sub-02_ses-2_task-encoding_run-1_bold,% timepoints
fd_perc,1.2903225806451613,sub-02_ses-2_task-encoding_run-2_bold,% timepoints
fd_perc,3.2051282051282053,sub-02_ses-2_task-encoding_run-3_bold,% timepoints
fd_perc,1.9230769230769231,sub-02_ses-2_task-encoding_run-4_bold,% timepoints
fd_perc,1.2903225806451613,sub-02_ses-2_task-encoding_run-5_bold,% timepoints
fd_perc,1.2820512820512822,sub-02_ses-2_task-encoding_run-6_bold,% timepoints
fd_perc,0.0,sub-02_ses-2_task-encoding_run-7_bold,% timepoints
fd_perc,0.6410256410256411,sub-02_ses-2_task-encoding_run-8_bold,% timepoints
fd_perc,5.063291139240507,sub-02_ses-2_task-rest_run-1_bold,% timepoints
fd_perc,0.5780346820809249,sub-02_ses-2_task-similarity_run-1_bold,% timepoints
fd_perc,1.4492753623188406,sub-02_ses-2_task-similarity_run-2_bold,% timepoints
fd_perc,5.161290322580645,sub-03_ses-1_task-encoding_run-1_bold,% timepoints
fd_perc,0.0,sub-03_ses-1_task-encoding_run-2_bold,% timepoints
fd_perc,1.30718954248366,sub-03_ses-1_task-encoding_run-3_bold,% timepoints
fd_perc,0.6493506493506493,sub-03_ses-1_task-encoding_run-4_bold,% timepoints
fd_perc,1.2987012987012987,sub-03_ses-1_task-encoding_run-5_bold,% timepoints
fd_perc,3.870967741935484,sub-03_ses-1_task-encoding_run-6_bold,% timepoints
fd_perc,0.0,sub-03_ses-1_task-encoding_run-7_bold,% timepoints
fd_perc,0.6493506493506493,sub-03_ses-1_task-encoding_run-8_bold,% timepoints
fd_perc,0.0,sub-03_ses-1_task-rest_run-1_bold,% timepoints
fd_perc,0.0,sub-03_ses-1_task-rest_run-2_bold,% timepoints
fd_perc,0.0,sub-03_ses-1_task-similarity_run-1_bold,% timepoints
fd_perc,1.4492753623188406,sub-03_ses-1_task-similarity_run-2_bold,% timepoints
fd_perc,0.0,sub-03_ses-2_task-encoding_run-1_bold,% timepoints
fd_perc,1.935483870967742,sub-03_ses-2_task-encoding_run-2_bold,% timepoints
fd_perc,0.6410256410256411,sub-03_ses-2_task-encoding_run-3_bold,% timepoints
fd_perc,0.0,sub-03_ses-2_task-encoding_run-4_bold,% timepoints
fd_perc,1.2903225806451613,sub-03_ses-2_task-encoding_run-5_bold,% timepoints
fd_perc,1.2903225806451613,sub-03_ses-2_task-encoding_run-6_bold,% timepoints
fd_perc,1.935483870967742,sub-03_ses-2_task-encoding_run-7_bold,% timepoints
fd_perc,1.935483870967742,sub-03_ses-2_task-encoding_run-8_bold,% timepoints
fd_perc,1.694915254237288,sub-03_ses-2_task-rest_run-1_bold,% timepoints
fd_perc,0.5797101449275363,sub-03_ses-2_task-similarity_run-1_bold,% timepoints
fd_perc,0.2890173410404624,sub-03_ses-2_task-similarity_run-2_bold,% timepoints
fd_perc,0.6451612903225806,sub-04_ses-1_task-encoding_run-1_bold,% timepoints
fd_perc,0.0,sub-04_ses-1_task-encoding_run-2_bold,% timepoints
fd_perc,0.0,sub-04_ses-1_task-encoding_run-3_bold,% timepoints
fd_perc,0.6451612903225806,sub-04_ses-1_task-encoding_run-4_bold,% timepoints
fd_perc,2.5806451612903225,sub-04_ses-1_task-encoding_run-5_bold,% timepoints
fd_perc,3.870967741935484,sub-04_ses-1_task-encoding_run-6_bold,% timepoints
fd_perc,6.451612903225806,sub-04_ses-1_task-encoding_run-7_bold,% timepoints
fd_perc,3.8461538461538463,sub-04_ses-1_task-encoding_run-8_bold,% timepoints
fd_perc,5.617977528089888,sub-04_ses-1_task-rest_run-1_bold,% timepoints
fd_perc,3.9548022598870056,sub-04_ses-1_task-rest_run-2_bold,% timepoints
fd_perc,5.507246376811594,sub-04_ses-1_task-similarity_run-1_bold,% timepoints
fd_perc,14.739884393063583,sub-04_ses-1_task-similarity_run-2_bold,% timepoints
fd_perc,3.2051282051282053,sub-04_ses-2_task-encoding_run-1_bold,% timepoints
fd_perc,2.5641025641025643,sub-04_ses-2_task-encoding_run-2_bold,% timepoints
fd_perc,6.451612903225806,sub-04_ses-2_task-encoding_run-3_bold,% timepoints
fd_perc,3.225806451612903,sub-04_ses-2_task-encoding_run-4_bold,% timepoints
fd_perc,2.5806451612903225,sub-04_ses-2_task-encoding_run-5_bold,% timepoints
fd_perc,3.870967741935484,sub-04_ses-2_task-encoding_run-6_bold,% timepoints
fd_perc,9.67741935483871,sub-04_ses-2_task-encoding_run-7_bold,% timepoints
fd_perc,9.67741935483871,sub-04_ses-2_task-encoding_run-8_bold,% timepoints
fd_perc,4.519774011299435,sub-04_ses-2_task-rest_run-1_bold,% timepoints
fd_perc,5.217391304347826,sub-04_ses-2_task-similarity_run-1_bold,% timepoints
fd_perc,6.395348837209302,sub-04_ses-2_task-similarity_run-2_bold,% timepoints
fd_perc,35.256410256410255,sub-06_ses-1_task-encoding_run-1_bold,% timepoints
fd_perc,9.03225806451613,sub-06_ses-1_task-encoding_run-2_bold,% timepoints
fd_perc,23.71794871794872,sub-06_ses-1_task-encoding_run-3_bold,% timepoints
fd_perc,8.387096774193548,sub-06_ses-1_task-encoding_run-4_bold,% timepoints
fd_perc,55.76923076923077,sub-06_ses-1_task-encoding_run-5_bold,% timepoints
fd_perc,12.337662337662335,sub-06_ses-1_task-encoding_run-6_bold,% timepoints
fd_perc,5.161290322580645,sub-06_ses-1_task-encoding_run-7_bold,% timepoints
fd_perc,23.870967741935484,sub-06_ses-1_task-encoding_run-8_bold,% timepoints
fd_perc,24.293785310734464,sub-06_ses-1_task-rest_run-1_bold,% timepoints
fd_perc,67.59776536312849,sub-06_ses-1_task-rest_run-2_bold,% timepoints
fd_perc,38.26086956521739,sub-06_ses-1_task-similarity_run-1_bold,% timepoints
fd_perc,19.07514450867052,sub-06_ses-1_task-similarity_run-2_bold,% timepoints
fd_perc,5.161290322580645,sub-06_ses-2_task-encoding_run-1_bold,% timepoints
fd_perc,5.161290322580645,sub-06_ses-2_task-encoding_run-2_bold,% timepoints
fd_perc,17.307692307692307,sub-06_ses-2_task-encoding_run-3_bold,% timepoints
fd_perc,24.35897435897436,sub-06_ses-2_task-encoding_run-4_bold,% timepoints
fd_perc,24.516129032258064,sub-06_ses-2_task-encoding_run-5_bold,% timepoints
fd_perc,21.428571428571427,sub-06_ses-2_task-encoding_run-6_bold,% timepoints
fd_perc,24.35897435897436,sub-06_ses-2_task-encoding_run-7_bold,% timepoints
fd_perc,19.23076923076923,sub-06_ses-2_task-encoding_run-8_bold,% timepoints
fd_perc,20.786516853932586,sub-06_ses-2_task-rest_run-1_bold,% timepoints
fd_perc,13.623188405797102,sub-06_ses-2_task-similarity_run-1_bold,% timepoints
fd_perc,29.85507246376812,sub-06_ses-2_task-similarity_run-2_bold,% timepoints
fd_perc,0.0,sub-08_ses-1_task-encoding_run-1_bold,% timepoints
fd_perc,0.0,sub-08_ses-1_task-encoding_run-2_bold,% timepoints
fd_perc,1.935483870967742,sub-08_ses-1_task-encoding_run-3_bold,% timepoints
fd_perc,5.128205128205129,sub-08_ses-1_task-encoding_run-4_bold,% timepoints
fd_perc,2.5641025641025643,sub-08_ses-1_task-encoding_run-5_bold,% timepoints
fd_perc,1.2903225806451613,sub-08_ses-1_task-encoding_run-6_bold,% timepoints
fd_perc,1.935483870967742,sub-08_ses-1_task-encoding_run-7_bold,% timepoints
fd_perc,2.5641025641025643,sub-08_ses-1_task-encoding_run-8_bold,% timepoints
fd_perc,0.0,sub-08_ses-1_task-rest_run-1_bold,% timepoints
fd_perc,6.741573033707865,sub-08_ses-1_task-rest_run-2_bold,% timepoints
fd_perc,0.5780346820809249,sub-08_ses-1_task-similarity_run-1_bold,% timepoints
fd_perc,13.583815028901734,sub-08_ses-1_task-similarity_run-2_bold,% timepoints
fd_perc,1.2820512820512822,sub-08_ses-2_task-encoding_run-1_bold,% timepoints
fd_perc,0.0,sub-08_ses-2_task-encoding_run-2_bold,% timepoints
fd_perc,2.5641025641025643,sub-08_ses-2_task-encoding_run-3_bold,% timepoints
fd_perc,0.0,sub-08_ses-2_task-encoding_run-4_bold,% timepoints
fd_perc,0.6451612903225806,sub-08_ses-2_task-encoding_run-5_bold,% timepoints
fd_perc,0.6451612903225806,sub-08_ses-2_task-encoding_run-6_bold,% timepoints
fd_perc,0.6410256410256411,sub-08_ses-2_task-encoding_run-7_bold,% timepoints
fd_perc,3.2051282051282053,sub-08_ses-2_task-encoding_run-8_bold,% timepoints
fd_perc,8.98876404494382,sub-08_ses-2_task-rest_run-1_bold,% timepoints
fd_perc,5.491329479768786,sub-08_ses-2_task-similarity_run-1_bold,% timepoints
fd_perc,4.046242774566474,sub-08_ses-2_task-similarity_run-2_bold,% timepoints
fd_perc,1.2903225806451613,sub-09_ses-1_task-encoding_run-1_bold,% timepoints
fd_perc,0.6451612903225806,sub-09_ses-1_task-encoding_run-2_bold,% timepoints
fd_perc,0.6451612903225806,sub-09_ses-1_task-encoding_run-3_bold,% timepoints
fd_perc,1.2903225806451613,sub-09_ses-1_task-encoding_run-4_bold,% timepoints
fd_perc,0.6451612903225806,sub-09_ses-1_task-encoding_run-5_bold,% timepoints
fd_perc,0.6410256410256411,sub-09_ses-1_task-encoding_run-6_bold,% timepoints
fd_perc,0.6451612903225806,sub-09_ses-1_task-encoding_run-7_bold,% timepoints
fd_perc,1.2820512820512822,sub-09_ses-1_task-encoding_run-8_bold,% timepoints
fd_perc,0.5617977528089888,sub-09_ses-1_task-rest_run-1_bold,% timepoints
fd_perc,1.694915254237288,sub-09_ses-1_task-rest_run-2_bold,% timepoints
fd_perc,0.8695652173913043,sub-09_ses-1_task-similarity_run-1_bold,% timepoints
fd_perc,0.0,sub-09_ses-1_task-similarity_run-2_bold,% timepoints
fd_perc,5.769230769230769,sub-09_ses-2_task-encoding_run-1_bold,% timepoints
fd_perc,0.0,sub-09_ses-2_task-encoding_run-2_bold,% timepoints
fd_perc,1.935483870967742,sub-09_ses-2_task-encoding_run-3_bold,% timepoints
fd_perc,5.806451612903226,sub-09_ses-2_task-encoding_run-4_bold,% timepoints
fd_perc,1.935483870967742,sub-09_ses-2_task-encoding_run-5_bold,% timepoints
fd_perc,0.6451612903225806,sub-09_ses-2_task-encoding_run-6_bold,% timepoints
fd_perc,1.2987012987012987,sub-09_ses-2_task-encoding_run-7_bold,% timepoints
fd_perc,0.6451612903225806,sub-09_ses-2_task-encoding_run-8_bold,% timepoints
fd_perc,0.0,sub-09_ses-2_task-rest_run-1_bold,% timepoints
fd_perc,0.8695652173913043,sub-09_ses-2_task-similarity_run-1_bold,% timepoints
fd_perc,1.1594202898550725,sub-09_ses-2_task-similarity_run-2_bold,% timepoints
fd_perc,1.2820512820512822,sub-10_ses-1_task-encoding_run-1_bold,% timepoints
fd_perc,0.0,sub-10_ses-1_task-encoding_run-2_bold,% timepoints
fd_perc,0.0,sub-10_ses-1_task-encoding_run-3_bold,% timepoints
fd_perc,0.0,sub-10_ses-1_task-encoding_run-4_bold,% timepoints
fd_perc,1.2820512820512822,sub-10_ses-1_task-encoding_run-5_bold,% timepoints
fd_perc,1.2820512820512822,sub-10_ses-1_task-encoding_run-6_bold,% timepoints
fd_perc,1.9230769230769231,sub-10_ses-1_task-encoding_run-7_bold,% timepoints
fd_perc,1.948051948051948,sub-10_ses-1_task-encoding_run-8_bold,% timepoints
fd_perc,1.1235955056179776,sub-10_ses-1_task-rest_run-1_bold,% timepoints
fd_perc,1.1299435028248588,sub-10_ses-1_task-rest_run-2_bold,% timepoints
fd_perc,0.0,sub-10_ses-1_task-similarity_run-1_bold,% timepoints
fd_perc,0.0,sub-10_ses-1_task-similarity_run-2_bold,% timepoints
fd_perc,0.0,sub-10_ses-2_task-encoding_run-1_bold,% timepoints
fd_perc,0.6451612903225806,sub-10_ses-2_task-encoding_run-2_bold,% timepoints
fd_perc,0.6410256410256411,sub-10_ses-2_task-encoding_run-3_bold,% timepoints
fd_perc,1.2903225806451613,sub-10_ses-2_task-encoding_run-4_bold,% timepoints
fd_perc,0.0,sub-10_ses-2_task-encoding_run-5_bold,% timepoints
fd_perc,0.0,sub-10_ses-2_task-encoding_run-6_bold,% timepoints
fd_perc,0.0,sub-10_ses-2_task-encoding_run-7_bold,% timepoints
fd_perc,0.0,sub-10_ses-2_task-encoding_run-8_bold,% timepoints
fd_perc,0.0,sub-10_ses-2_task-rest_run-1_bold,% timepoints
fd_perc,0.0,sub-10_ses-2_task-similarity_run-1_bold,% timepoints
fd_perc,0.0,sub-10_ses-2_task-similarity_run-2_bold,% timepoints
fd_perc,1.935483870967742,sub-11_ses-1_task-encoding_run-1_bold,% timepoints
fd_perc,3.8461538461538463,sub-11_ses-1_task-encoding_run-2_bold,% timepoints
fd_perc,11.688311688311687,sub-11_ses-1_task-encoding_run-3_bold,% timepoints
fd_perc,3.870967741935484,sub-11_ses-1_task-encoding_run-4_bold,% timepoints
fd_perc,2.5974025974025974,sub-11_ses-1_task-encoding_run-5_bold,% timepoints
fd_perc,7.6923076923076925,sub-11_ses-1_task-encoding_run-6_bold,% timepoints
fd_perc,5.806451612903226,sub-11_ses-1_task-encoding_run-7_bold,% timepoints
fd_perc,10.897435897435898,sub-11_ses-1_task-encoding_run-8_bold,% timepoints
fd_perc,5.113636363636363,sub-11_ses-1_task-rest_run-1_bold,% timepoints
fd_perc,6.741573033707865,sub-11_ses-1_task-rest_run-2_bold,% timepoints
fd_perc,26.666666666666668,sub-11_ses-1_task-similarity_run-1_bold,% timepoints
fd_perc,15.31791907514451,sub-11_ses-1_task-similarity_run-2_bold,% timepoints
fd_perc,9.03225806451613,sub-11_ses-2_task-encoding_run-1_bold,% timepoints
fd_perc,19.871794871794872,sub-11_ses-2_task-encoding_run-2_bold,% timepoints
fd_perc,21.153846153846157,sub-11_ses-2_task-encoding_run-3_bold,% timepoints
fd_perc,30.128205128205128,sub-11_ses-2_task-encoding_run-4_bold,% timepoints
fd_perc,32.05128205128205,sub-11_ses-2_task-encoding_run-5_bold,% timepoints
fd_perc,33.333333333333336,sub-11_ses-2_task-encoding_run-6_bold,% timepoints
fd_perc,33.97435897435897,sub-11_ses-2_task-encoding_run-7_bold,% timepoints
fd_perc,30.128205128205128,sub-11_ses-2_task-encoding_run-8_bold,% timepoints
fd_perc,31.46067415730337,sub-11_ses-2_task-rest_run-1_bold,% timepoints
fd_perc,12.716763005780347,sub-11_ses-2_task-similarity_run-1_bold,% timepoints
fd_perc,5.507246376811594,sub-11_ses-2_task-similarity_run-2_bold,% timepoints
fd_perc,0.0,sub-13_ses-1_task-encoding_run-1_bold,% timepoints
fd_perc,0.0,sub-13_ses-1_task-encoding_run-2_bold,% timepoints
fd_perc,1.2903225806451613,sub-13_ses-1_task-encoding_run-3_bold,% timepoints
fd_perc,0.6451612903225806,sub-13_ses-1_task-encoding_run-4_bold,% timepoints
fd_perc,1.2903225806451613,sub-13_ses-1_task-encoding_run-5_bold,% timepoints
fd_perc,0.0,sub-13_ses-1_task-encoding_run-6_bold,% timepoints
fd_perc,0.0,sub-13_ses-1_task-encoding_run-7_bold,% timepoints
fd_perc,1.935483870967742,sub-13_ses-1_task-encoding_run-8_bold,% timepoints
fd_perc,1.1299435028248588,sub-13_ses-1_task-rest_run-1_bold,% timepoints
fd_perc,1.1299435028248588,sub-13_ses-1_task-rest_run-2_bold,% timepoints
fd_perc,0.2906976744186046,sub-13_ses-1_task-similarity_run-1_bold,% timepoints
fd_perc,0.0,sub-13_ses-1_task-similarity_run-2_bold,% timepoints
fd_perc,0.0,sub-13_ses-2_task-encoding_run-1_bold,% timepoints
fd_perc,0.0,sub-13_ses-2_task-encoding_run-2_bold,% timepoints
fd_perc,0.0,sub-13_ses-2_task-encoding_run-3_bold,% timepoints
fd_perc,0.0,sub-13_ses-2_task-encoding_run-4_bold,% timepoints
fd_perc,0.0,sub-13_ses-2_task-encoding_run-5_bold,% timepoints
fd_perc,0.0,sub-13_ses-2_task-encoding_run-6_bold,% timepoints
fd_perc,0.0,sub-13_ses-2_task-encoding_run-7_bold,% timepoints
fd_perc,0.0,sub-13_ses-2_task-encoding_run-8_bold,% timepoints
fd_perc,0.0,sub-13_ses-2_task-rest_run-1_bold,% timepoints
fd_perc,8.720930232558139,sub-13_ses-2_task-similarity_run-1_bold,% timepoints
fd_perc,3.188405797101449,sub-13_ses-2_task-similarity_run-2_bold,% timepoints
fd_perc,0.0,sub-14_ses-1_task-encoding_run-1_bold,% timepoints
fd_perc,0.0,sub-14_ses-1_task-encoding_run-2_bold,% timepoints
fd_perc,2.5641025641025643,sub-14_ses-1_task-encoding_run-3_bold,% timepoints
fd_perc,0.0,sub-14_ses-1_task-encoding_run-4_bold,% timepoints
fd_perc,0.0,sub-14_ses-1_task-encoding_run-5_bold,% timepoints
fd_perc,0.0,sub-14_ses-1_task-encoding_run-6_bold,% timepoints
fd_perc,0.0,sub-14_ses-1_task-encoding_run-7_bold,% timepoints
fd_perc,0.0,sub-14_ses-1_task-encoding_run-8_bold,% timepoints
fd_perc,0.0,sub-14_ses-1_task-rest_run-1_bold,% timepoints
fd_perc,0.0,sub-14_ses-1_task-rest_run-2_bold,% timepoints
fd_perc,0.0,sub-14_ses-1_task-similarity_run-1_bold,% timepoints
fd_perc,0.8670520231213873,sub-14_ses-1_task-similarity_run-2_bold,% timepoints
fd_perc,0.0,sub-14_ses-2_task-encoding_run-1_bold,% timepoints
fd_perc,1.2820512820512822,sub-14_ses-2_task-encoding_run-2_bold,% timepoints
fd_perc,3.2051282051282053,sub-14_ses-2_task-encoding_run-3_bold,% timepoints
fd_perc,2.5477707006369426,sub-14_ses-2_task-encoding_run-4_bold,% timepoints
fd_perc,0.0,sub-14_ses-2_task-encoding_run-5_bold,% timepoints
fd_perc,1.9230769230769231,sub-14_ses-2_task-encoding_run-6_bold,% timepoints
fd_perc,1.2820512820512822,sub-14_ses-2_task-encoding_run-7_bold,% timepoints
fd_perc,3.1847133757961785,sub-14_ses-2_task-encoding_run-8_bold,% timepoints
fd_perc,2.247191011235955,sub-14_ses-2_task-rest_run-1_bold,% timepoints
fd_perc,6.647398843930636,sub-14_ses-2_task-similarity_run-1_bold,% timepoints
fd_perc,7.514450867052023,sub-14_ses-2_task-similarity_run-2_bold,% timepoints
fd_perc,0.0,sub-16_ses-1_task-encoding_run-1_bold,% timepoints
fd_perc,1.935483870967742,sub-16_ses-1_task-encoding_run-2_bold,% timepoints
fd_perc,0.6410256410256411,sub-16_ses-1_task-encoding_run-3_bold,% timepoints
fd_perc,1.2903225806451613,sub-16_ses-1_task-encoding_run-4_bold,% timepoints
fd_perc,1.948051948051948,sub-16_ses-1_task-encoding_run-5_bold,% timepoints
fd_perc,3.2051282051282053,sub-16_ses-1_task-encoding_run-6_bold,% timepoints
fd_perc,0.6451612903225806,sub-16_ses-1_task-encoding_run-7_bold,% timepoints
fd_perc,0.6410256410256411,sub-16_ses-1_task-encoding_run-8_bold,% timepoints
fd_perc,0.0,sub-16_ses-1_task-rest_run-1_bold,% timepoints
fd_perc,3.3707865168539324,sub-16_ses-1_task-rest_run-2_bold,% timepoints
fd_perc,0.5813953488372093,sub-16_ses-1_task-similarity_run-1_bold,% timepoints
fd_perc,1.7341040462427746,sub-16_ses-1_task-similarity_run-2_bold,% timepoints
fd_perc,0.0,sub-16_ses-2_task-encoding_run-1_bold,% timepoints
fd_perc,0.0,sub-16_ses-2_task-encoding_run-2_bold,% timepoints
fd_perc,1.9230769230769231,sub-16_ses-2_task-encoding_run-3_bold,% timepoints
fd_perc,1.2903225806451613,sub-16_ses-2_task-encoding_run-4_bold,% timepoints
fd_perc,4.516129032258065,sub-16_ses-2_task-encoding_run-5_bold,% timepoints
fd_perc,9.67741935483871,sub-16_ses-2_task-encoding_run-6_bold,% timepoints
fd_perc,7.096774193548387,sub-16_ses-2_task-encoding_run-7_bold,% timepoints
fd_perc,9.615384615384617,sub-16_ses-2_task-encoding_run-8_bold,% timepoints
fd_perc,36.15819209039548,sub-16_ses-2_task-rest_run-1_bold,% timepoints
fd_perc,32.7536231884058,sub-16_ses-2_task-similarity_run-1_bold,% timepoints
fd_perc,33.333333333333336,sub-16_ses-2_task-similarity_run-2_bold,% timepoints
fd_perc,11.538461538461538,sub-17_ses-1_task-encoding_run-1_bold,% timepoints
fd_perc,3.8461538461538463,sub-17_ses-1_task-encoding_run-2_bold,% timepoints
fd_perc,5.128205128205129,sub-17_ses-1_task-encoding_run-3_bold,% timepoints
fd_perc,5.128205128205129,sub-17_ses-1_task-encoding_run-4_bold,% timepoints
fd_perc,3.870967741935484,sub-17_ses-1_task-encoding_run-5_bold,% timepoints
fd_perc,9.03225806451613,sub-17_ses-1_task-encoding_run-6_bold,% timepoints
fd_perc,2.5641025641025643,sub-17_ses-1_task-encoding_run-7_bold,% timepoints
fd_perc,0.0,sub-17_ses-1_task-encoding_run-8_bold,% timepoints
fd_perc,1.6853932584269662,sub-17_ses-1_task-rest_run-1_bold,% timepoints
fd_perc,5.056179775280899,sub-17_ses-1_task-rest_run-2_bold,% timepoints
fd_perc,2.028985507246377,sub-17_ses-1_task-similarity_run-1_bold,% timepoints
fd_perc,2.318840579710145,sub-17_ses-1_task-similarity_run-2_bold,% timepoints
fd_perc,3.8461538461538463,sub-17_ses-2_task-encoding_run-1_bold,% timepoints
fd_perc,0.6451612903225806,sub-17_ses-2_task-encoding_run-2_bold,% timepoints
fd_perc,1.2903225806451613,sub-17_ses-2_task-encoding_run-3_bold,% timepoints
fd_perc,0.6410256410256411,sub-17_ses-2_task-encoding_run-4_bold,% timepoints
fd_perc,0.0,sub-17_ses-2_task-encoding_run-5_bold,% timepoints
fd_perc,0.0,sub-17_ses-2_task-encoding_run-6_bold,% timepoints
fd_perc,1.935483870967742,sub-17_ses-2_task-encoding_run-7_bold,% timepoints
fd_perc,1.2903225806451613,sub-17_ses-2_task-encoding_run-8_bold,% timepoints
fd_perc,2.272727272727273,sub-17_ses-2_task-rest_run-1_bold,% timepoints
fd_perc,1.1560693641618498,sub-17_ses-2_task-similarity_run-1_bold,% timepoints
fd_perc,2.023121387283237,sub-17_ses-2_task-similarity_run-2_bold,% timepoints
fd_perc,0.6410256410256411,sub-18_ses-1_task-encoding_run-1_bold,% timepoints
fd_perc,3.225806451612903,sub-18_ses-1_task-encoding_run-2_bold,% timepoints
fd_perc,3.896103896103896,sub-18_ses-1_task-encoding_run-3_bold,% timepoints
fd_perc,0.0,sub-18_ses-1_task-encoding_run-4_bold,% timepoints
fd_perc,1.2903225806451613,sub-18_ses-1_task-encoding_run-5_bold,% timepoints
fd_perc,1.2903225806451613,sub-18_ses-1_task-encoding_run-6_bold,% timepoints
fd_perc,3.870967741935484,sub-18_ses-1_task-encoding_run-7_bold,% timepoints
fd_perc,1.30718954248366,sub-18_ses-1_task-encoding_run-8_bold,% timepoints
fd_perc,1.694915254237288,sub-18_ses-1_task-rest_run-1_bold,% timepoints
fd_perc,1.1299435028248588,sub-18_ses-1_task-rest_run-2_bold,% timepoints
fd_perc,4.057971014492754,sub-18_ses-1_task-similarity_run-1_bold,% timepoints
fd_perc,7.536231884057971,sub-18_ses-1_task-similarity_run-2_bold,% timepoints
fd_perc,0.6451612903225806,sub-18_ses-2_task-encoding_run-1_bold,% timepoints
fd_perc,0.0,sub-18_ses-2_task-encoding_run-2_bold,% timepoints
fd_perc,0.0,sub-18_ses-2_task-encoding_run-3_bold,% timepoints
fd_perc,0.0,sub-18_ses-2_task-encoding_run-4_bold,% timepoints
fd_perc,0.0,sub-18_ses-2_task-encoding_run-5_bold,% timepoints
fd_perc,0.0,sub-18_ses-2_task-encoding_run-6_bold,% timepoints
fd_perc,0.0,sub-18_ses-2_task-encoding_run-7_bold,% timepoints
fd_perc,0.0,sub-18_ses-2_task-encoding_run-8_bold,% timepoints
fd_perc,1.1299435028248588,sub-18_ses-2_task-rest_run-1_bold,% timepoints
fd_perc,0.5797101449275363,sub-18_ses-2_task-similarity_run-1_bold,% timepoints
fd_perc,0.5813953488372093,sub-18_ses-2_task-similarity_run-2_bold,% timepoints
fd_perc,0.6451612903225806,sub-19_ses-1_task-encoding_run-1_bold,% timepoints
fd_perc,0.6451612903225806,sub-19_ses-1_task-encoding_run-2_bold,% timepoints
fd_perc,3.870967741935484,sub-19_ses-1_task-encoding_run-3_bold,% timepoints
fd_perc,3.225806451612903,sub-19_ses-1_task-encoding_run-4_bold,% timepoints
fd_perc,5.161290322580645,sub-19_ses-1_task-encoding_run-5_bold,% timepoints
fd_perc,5.806451612903226,sub-19_ses-1_task-encoding_run-6_bold,% timepoints
fd_perc,10.96774193548387,sub-19_ses-1_task-encoding_run-7_bold,% timepoints
fd_perc,6.451612903225806,sub-19_ses-1_task-encoding_run-8_bold,% timepoints
fd_perc,1.1299435028248588,sub-19_ses-1_task-rest_run-1_bold,% timepoints
fd_perc,7.909604519774011,sub-19_ses-1_task-rest_run-2_bold,% timepoints
fd_perc,1.4492753623188406,sub-19_ses-1_task-similarity_run-1_bold,% timepoints
fd_perc,0.8746355685131195,sub-19_ses-1_task-similarity_run-2_bold,% timepoints
fd_perc,0.0,sub-19_ses-2_task-encoding_run-1_bold,% timepoints
fd_perc,1.948051948051948,sub-19_ses-2_task-encoding_run-2_bold,% timepoints
fd_perc,4.516129032258065,sub-19_ses-2_task-encoding_run-3_bold,% timepoints
fd_perc,3.225806451612903,sub-19_ses-2_task-encoding_run-4_bold,% timepoints
fd_perc,14.838709677419354,sub-19_ses-2_task-encoding_run-5_bold,% timepoints
fd_perc,10.256410256410255,sub-19_ses-2_task-encoding_run-6_bold,% timepoints
fd_perc,8.387096774193548,sub-19_ses-2_task-encoding_run-7_bold,% timepoints
fd_perc,5.128205128205129,sub-19_ses-2_task-encoding_run-8_bold,% timepoints
fd_perc,10.734463276836156,sub-19_ses-2_task-rest_run-1_bold,% timepoints
fd_perc,2.898550724637681,sub-19_ses-2_task-similarity_run-1_bold,% timepoints
fd_perc,3.488372093023256,sub-19_ses-2_task-similarity_run-2_bold,% timepoints
fd_perc,1.935483870967742,sub-20_ses-1_task-encoding_run-1_bold,% timepoints
fd_perc,1.2987012987012987,sub-20_ses-1_task-encoding_run-2_bold,% timepoints
fd_perc,1.935483870967742,sub-20_ses-1_task-encoding_run-3_bold,% timepoints
fd_perc,2.5806451612903225,sub-20_ses-1_task-encoding_run-4_bold,% timepoints
fd_perc,1.9230769230769231,sub-20_ses-1_task-encoding_run-5_bold,% timepoints
fd_perc,1.9230769230769231,sub-20_ses-1_task-encoding_run-6_bold,% timepoints
fd_perc,2.5641025641025643,sub-20_ses-1_task-encoding_run-7_bold,% timepoints
fd_perc,0.6451612903225806,sub-20_ses-1_task-encoding_run-8_bold,% timepoints
fd_perc,0.0,sub-20_ses-1_task-rest_run-1_bold,% timepoints
fd_perc,1.1299435028248588,sub-20_ses-1_task-rest_run-2_bold,% timepoints
fd_perc,0.5797101449275363,sub-20_ses-1_task-similarity_run-1_bold,% timepoints
fd_perc,0.0,sub-20_ses-1_task-similarity_run-2_bold,% timepoints
fd_perc,1.2820512820512822,sub-20_ses-2_task-encoding_run-1_bold,% timepoints
fd_perc,1.2903225806451613,sub-20_ses-2_task-encoding_run-2_bold,% timepoints
fd_perc,0.0,sub-20_ses-2_task-encoding_run-3_bold,% timepoints
fd_perc,0.6451612903225806,sub-20_ses-2_task-encoding_run-4_bold,% timepoints
fd_perc,1.2987012987012987,sub-20_ses-2_task-encoding_run-5_bold,% timepoints
fd_perc,1.2903225806451613,sub-20_ses-2_task-encoding_run-6_bold,% timepoints
fd_perc,1.2987012987012987,sub-20_ses-2_task-encoding_run-7_bold,% timepoints
fd_perc,0.6410256410256411,sub-20_ses-2_task-encoding_run-8_bold,% timepoints
fd_perc,0.0,sub-20_ses-2_task-rest_run-1_bold,% timepoints
fd_perc,0.2890173410404624,sub-20_ses-2_task-similarity_run-1_bold,% timepoints
fd_perc,0.5797101449275363,sub-20_ses-2_task-similarity_run-2_bold,% timepoints
fd_perc,2.5641025641025643,sub-25_ses-1_task-encoding_run-1_bold,% timepoints
fd_perc,12.258064516129032,sub-25_ses-1_task-encoding_run-2_bold,% timepoints
fd_perc,1.2903225806451613,sub-25_ses-1_task-encoding_run-3_bold,% timepoints
fd_perc,14.743589743589745,sub-25_ses-1_task-encoding_run-4_bold,% timepoints
fd_perc,3.870967741935484,sub-25_ses-1_task-encoding_run-5_bold,% timepoints
fd_perc,6.451612903225806,sub-25_ses-1_task-encoding_run-6_bold,% timepoints
fd_perc,3.2467532467532467,sub-25_ses-1_task-encoding_run-7_bold,% timepoints
fd_perc,1.2903225806451613,sub-25_ses-1_task-encoding_run-8_bold,% timepoints
fd_perc,0.0,sub-25_ses-1_task-rest_run-1_bold,% timepoints
fd_perc,3.932584269662921,sub-25_ses-1_task-rest_run-2_bold,% timepoints
fd_perc,4.069767441860465,sub-25_ses-1_task-similarity_run-1_bold,% timepoints
fd_perc,0.872093023255814,sub-25_ses-1_task-similarity_run-2_bold,% timepoints
fd_perc,0.6410256410256411,sub-25_ses-2_task-encoding_run-1_bold,% timepoints
fd_perc,2.5806451612903225,sub-25_ses-2_task-encoding_run-2_bold,% timepoints
fd_perc,0.6493506493506493,sub-25_ses-2_task-encoding_run-3_bold,% timepoints
fd_perc,1.2903225806451613,sub-25_ses-2_task-encoding_run-4_bold,% timepoints
fd_perc,3.8461538461538463,sub-25_ses-2_task-encoding_run-5_bold,% timepoints
fd_perc,2.5806451612903225,sub-25_ses-2_task-encoding_run-6_bold,% timepoints
fd_perc,0.0,sub-25_ses-2_task-encoding_run-7_bold,% timepoints
fd_perc,0.6535947712418301,sub-25_ses-2_task-encoding_run-8_bold,% timepoints
fd_perc,0.5714285714285714,sub-25_ses-2_task-rest_run-1_bold,% timepoints
fd_perc,3.4782608695652173,sub-25_ses-2_task-similarity_run-1_bold,% timepoints
fd_perc,4.63768115942029,sub-25_ses-2_task-similarity_run-2_bold,% timepoints
fd_perc,0.0,sub-26_ses-1_task-encoding_run-1_bold,% timepoints
fd_perc,5.806451612903226,sub-26_ses-1_task-encoding_run-2_bold,% timepoints
fd_perc,8.333333333333334,sub-26_ses-1_task-encoding_run-3_bold,% timepoints
fd_perc,5.806451612903226,sub-26_ses-1_task-encoding_run-4_bold,% timepoints
fd_perc,15.384615384615383,sub-26_ses-1_task-encoding_run-5_bold,% timepoints
fd_perc,5.769230769230769,sub-26_ses-1_task-encoding_run-6_bold,% timepoints
fd_perc,2.5806451612903225,sub-26_ses-1_task-encoding_run-7_bold,% timepoints
fd_perc,1.9230769230769231,sub-26_ses-1_task-encoding_run-8_bold,% timepoints
fd_perc,1.694915254237288,sub-26_ses-1_task-rest_run-1_bold,% timepoints
fd_perc,9.6045197740113,sub-26_ses-1_task-rest_run-2_bold,% timepoints
fd_perc,2.318840579710145,sub-26_ses-1_task-similarity_run-1_bold,% timepoints
fd_perc,1.7341040462427746,sub-26_ses-1_task-similarity_run-2_bold,% timepoints
fd_perc,1.935483870967742,sub-26_ses-2_task-encoding_run-1_bold,% timepoints
fd_perc,1.2903225806451613,sub-26_ses-2_task-encoding_run-2_bold,% timepoints
fd_perc,0.6451612903225806,sub-26_ses-2_task-encoding_run-3_bold,% timepoints
fd_perc,0.0,sub-26_ses-2_task-encoding_run-4_bold,% timepoints
fd_perc,3.2051282051282053,sub-26_ses-2_task-encoding_run-5_bold,% timepoints
fd_perc,4.487179487179487,sub-26_ses-2_task-encoding_run-6_bold,% timepoints
fd_perc,3.870967741935484,sub-26_ses-2_task-encoding_run-7_bold,% timepoints
fd_perc,8.333333333333334,sub-26_ses-2_task-encoding_run-8_bold,% timepoints
fd_perc,7.386363636363637,sub-26_ses-2_task-rest_run-1_bold,% timepoints
fd_perc,6.956521739130435,sub-26_ses-2_task-similarity_run-1_bold,% timepoints
fd_perc,6.647398843930636,sub-26_ses-2_task-similarity_run-2_bold,% timepoints
fd_perc,0.0,sub-27_ses-1_task-encoding_run-1_bold,% timepoints
fd_perc,0.0,sub-27_ses-1_task-encoding_run-2_bold,% timepoints
fd_perc,3.225806451612903,sub-27_ses-1_task-encoding_run-3_bold,% timepoints
fd_perc,0.0,sub-27_ses-1_task-encoding_run-4_bold,% timepoints
fd_perc,1.2820512820512822,sub-27_ses-1_task-encoding_run-5_bold,% timepoints
fd_perc,0.6410256410256411,sub-27_ses-1_task-encoding_run-6_bold,% timepoints
fd_perc,3.2051282051282053,sub-27_ses-1_task-encoding_run-7_bold,% timepoints
fd_perc,3.2051282051282053,sub-27_ses-1_task-encoding_run-8_bold,% timepoints
fd_perc,0.5617977528089888,sub-27_ses-1_task-rest_run-1_bold,% timepoints
fd_perc,7.865168539325842,sub-27_ses-1_task-rest_run-2_bold,% timepoints
fd_perc,0.5780346820809249,sub-27_ses-1_task-similarity_run-1_bold,% timepoints
fd_perc,4.913294797687861,sub-27_ses-1_task-similarity_run-2_bold,% timepoints
fd_perc,0.0,sub-27_ses-2_task-encoding_run-1_bold,% timepoints
fd_perc,2.5641025641025643,sub-27_ses-2_task-encoding_run-2_bold,% timepoints
fd_perc,3.2051282051282053,sub-27_ses-2_task-encoding_run-3_bold,% timepoints
fd_perc,0.0,sub-27_ses-2_task-encoding_run-4_bold,% timepoints
fd_perc,1.2820512820512822,sub-27_ses-2_task-encoding_run-5_bold,% timepoints
fd_perc,2.5641025641025643,sub-27_ses-2_task-encoding_run-6_bold,% timepoints
fd_perc,3.2051282051282053,sub-27_ses-2_task-encoding_run-7_bold,% timepoints
fd_perc,0.0,sub-27_ses-2_task-encoding_run-8_bold,% timepoints
fd_perc,2.793296089385475,sub-27_ses-2_task-rest_run-1_bold,% timepoints
fd_perc,11.84971098265896,sub-27_ses-2_task-similarity_run-1_bold,% timepoints
fd_perc,8.93371757925072,sub-27_ses-2_task-similarity_run-2_bold,% timepoints
fd_perc,9.615384615384617,sub-28_ses-1_task-encoding_run-1_bold,% timepoints
fd_perc,14.102564102564102,sub-28_ses-1_task-encoding_run-2_bold,% timepoints
fd_perc,14.102564102564102,sub-28_ses-1_task-encoding_run-3_bold,% timepoints
fd_perc,8.49673202614379,sub-28_ses-1_task-encoding_run-4_bold,% timepoints
fd_perc,5.128205128205129,sub-28_ses-1_task-encoding_run-5_bold,% timepoints
fd_perc,7.051282051282051,sub-28_ses-1_task-encoding_run-6_bold,% timepoints
fd_perc,7.051282051282051,sub-28_ses-1_task-encoding_run-7_bold,% timepoints
fd_perc,10.256410256410255,sub-28_ses-1_task-encoding_run-8_bold,% timepoints
fd_perc,11.235955056179776,sub-28_ses-1_task-rest_run-1_bold,% timepoints
fd_perc,9.55056179775281,sub-28_ses-1_task-rest_run-2_bold,% timepoints
fd_perc,10.693641618497107,sub-28_ses-1_task-similarity_run-1_bold,% timepoints
fd_perc,9.593023255813954,sub-28_ses-1_task-similarity_run-2_bold,% timepoints
fd_perc,10.256410256410255,sub-28_ses-2_task-encoding_run-1_bold,% timepoints
fd_perc,5.128205128205129,sub-28_ses-2_task-encoding_run-2_bold,% timepoints
fd_perc,8.333333333333334,sub-28_ses-2_task-encoding_run-3_bold,% timepoints
fd_perc,10.32258064516129,sub-28_ses-2_task-encoding_run-4_bold,% timepoints
fd_perc,12.82051282051282,sub-28_ses-2_task-encoding_run-5_bold,% timepoints
fd_perc,9.090909090909092,sub-28_ses-2_task-encoding_run-6_bold,% timepoints
fd_perc,12.82051282051282,sub-28_ses-2_task-encoding_run-7_bold,% timepoints
fd_perc,8.974358974358974,sub-28_ses-2_task-encoding_run-8_bold,% timepoints
fd_perc,12.994350282485875,sub-28_ses-2_task-rest_run-1_bold,% timepoints
fd_perc,11.271676300578036,sub-28_ses-2_task-similarity_run-1_bold,% timepoints
fd_perc,8.959537572254336,sub-28_ses-2_task-similarity_run-2_bold,% timepoints
</pre>
<div class="chart-wrapper" id="chart-group10"></div>
<pre class="csvdata" id="data-csv10" style="display: none">
iqm,value,label,units
dummy_trs,3,sub-01_ses-1_task-encoding_run-1_bold,# TRs
dummy_trs,3,sub-01_ses-1_task-encoding_run-2_bold,# TRs
dummy_trs,2,sub-01_ses-1_task-encoding_run-3_bold,# TRs
dummy_trs,3,sub-01_ses-1_task-encoding_run-4_bold,# TRs
dummy_trs,2,sub-01_ses-1_task-encoding_run-5_bold,# TRs
dummy_trs,2,sub-01_ses-1_task-encoding_run-6_bold,# TRs
dummy_trs,2,sub-01_ses-1_task-encoding_run-7_bold,# TRs
dummy_trs,3,sub-01_ses-1_task-encoding_run-8_bold,# TRs
dummy_trs,3,sub-01_ses-1_task-rest_run-1_bold,# TRs
dummy_trs,3,sub-01_ses-1_task-similarity_run-1_bold,# TRs
dummy_trs,3,sub-01_ses-1_task-similarity_run-2_bold,# TRs
dummy_trs,2,sub-01_ses-2_task-encoding_run-1_bold,# TRs
dummy_trs,2,sub-01_ses-2_task-encoding_run-2_bold,# TRs
dummy_trs,2,sub-01_ses-2_task-encoding_run-3_bold,# TRs
dummy_trs,2,sub-01_ses-2_task-encoding_run-4_bold,# TRs
dummy_trs,2,sub-01_ses-2_task-encoding_run-5_bold,# TRs
dummy_trs,2,sub-01_ses-2_task-encoding_run-6_bold,# TRs
dummy_trs,3,sub-01_ses-2_task-encoding_run-7_bold,# TRs
dummy_trs,3,sub-01_ses-2_task-encoding_run-8_bold,# TRs
dummy_trs,3,sub-01_ses-2_task-rest_run-1_bold,# TRs
dummy_trs,2,sub-01_ses-2_task-similarity_run-1_bold,# TRs
dummy_trs,2,sub-01_ses-2_task-similarity_run-2_bold,# TRs
dummy_trs,2,sub-02_ses-1_task-encoding_run-1_bold,# TRs
dummy_trs,3,sub-02_ses-1_task-encoding_run-2_bold,# TRs
dummy_trs,3,sub-02_ses-1_task-encoding_run-3_bold,# TRs
dummy_trs,3,sub-02_ses-1_task-encoding_run-4_bold,# TRs
dummy_trs,4,sub-02_ses-1_task-encoding_run-5_bold,# TRs
dummy_trs,3,sub-02_ses-1_task-encoding_run-6_bold,# TRs
dummy_trs,3,sub-02_ses-1_task-encoding_run-7_bold,# TRs
dummy_trs,3,sub-02_ses-1_task-encoding_run-8_bold,# TRs
dummy_trs,2,sub-02_ses-1_task-rest_run-1_bold,# TRs
dummy_trs,3,sub-02_ses-1_task-rest_run-2_bold,# TRs
dummy_trs,2,sub-02_ses-1_task-similarity_run-1_bold,# TRs
dummy_trs,2,sub-02_ses-1_task-similarity_run-2_bold,# TRs
dummy_trs,3,sub-02_ses-2_task-encoding_run-1_bold,# TRs
dummy_trs,3,sub-02_ses-2_task-encoding_run-2_bold,# TRs
dummy_trs,2,sub-02_ses-2_task-encoding_run-3_bold,# TRs
dummy_trs,2,sub-02_ses-2_task-encoding_run-4_bold,# TRs
dummy_trs,3,sub-02_ses-2_task-encoding_run-5_bold,# TRs
dummy_trs,2,sub-02_ses-2_task-encoding_run-6_bold,# TRs
dummy_trs,7,sub-02_ses-2_task-encoding_run-7_bold,# TRs
dummy_trs,2,sub-02_ses-2_task-encoding_run-8_bold,# TRs
dummy_trs,4,sub-02_ses-2_task-rest_run-1_bold,# TRs
dummy_trs,2,sub-02_ses-2_task-similarity_run-1_bold,# TRs
dummy_trs,3,sub-02_ses-2_task-similarity_run-2_bold,# TRs
dummy_trs,3,sub-03_ses-1_task-encoding_run-1_bold,# TRs
dummy_trs,3,sub-03_ses-1_task-encoding_run-2_bold,# TRs
dummy_trs,5,sub-03_ses-1_task-encoding_run-3_bold,# TRs
dummy_trs,4,sub-03_ses-1_task-encoding_run-4_bold,# TRs
dummy_trs,4,sub-03_ses-1_task-encoding_run-5_bold,# TRs
dummy_trs,3,sub-03_ses-1_task-encoding_run-6_bold,# TRs
dummy_trs,2,sub-03_ses-1_task-encoding_run-7_bold,# TRs
dummy_trs,4,sub-03_ses-1_task-encoding_run-8_bold,# TRs
dummy_trs,3,sub-03_ses-1_task-rest_run-1_bold,# TRs
dummy_trs,3,sub-03_ses-1_task-rest_run-2_bold,# TRs
dummy_trs,2,sub-03_ses-1_task-similarity_run-1_bold,# TRs
dummy_trs,3,sub-03_ses-1_task-similarity_run-2_bold,# TRs
dummy_trs,3,sub-03_ses-2_task-encoding_run-1_bold,# TRs
dummy_trs,3,sub-03_ses-2_task-encoding_run-2_bold,# TRs
dummy_trs,2,sub-03_ses-2_task-encoding_run-3_bold,# TRs
dummy_trs,3,sub-03_ses-2_task-encoding_run-4_bold,# TRs
dummy_trs,3,sub-03_ses-2_task-encoding_run-5_bold,# TRs
dummy_trs,3,sub-03_ses-2_task-encoding_run-6_bold,# TRs
dummy_trs,3,sub-03_ses-2_task-encoding_run-7_bold,# TRs
dummy_trs,3,sub-03_ses-2_task-encoding_run-8_bold,# TRs
dummy_trs,3,sub-03_ses-2_task-rest_run-1_bold,# TRs
dummy_trs,3,sub-03_ses-2_task-similarity_run-1_bold,# TRs
dummy_trs,2,sub-03_ses-2_task-similarity_run-2_bold,# TRs
dummy_trs,3,sub-04_ses-1_task-encoding_run-1_bold,# TRs
dummy_trs,3,sub-04_ses-1_task-encoding_run-2_bold,# TRs
dummy_trs,4,sub-04_ses-1_task-encoding_run-3_bold,# TRs
dummy_trs,3,sub-04_ses-1_task-encoding_run-4_bold,# TRs
dummy_trs,3,sub-04_ses-1_task-encoding_run-5_bold,# TRs
dummy_trs,3,sub-04_ses-1_task-encoding_run-6_bold,# TRs
dummy_trs,3,sub-04_ses-1_task-encoding_run-7_bold,# TRs
dummy_trs,2,sub-04_ses-1_task-encoding_run-8_bold,# TRs
dummy_trs,2,sub-04_ses-1_task-rest_run-1_bold,# TRs
dummy_trs,3,sub-04_ses-1_task-rest_run-2_bold,# TRs
dummy_trs,3,sub-04_ses-1_task-similarity_run-1_bold,# TRs
dummy_trs,2,sub-04_ses-1_task-similarity_run-2_bold,# TRs
dummy_trs,2,sub-04_ses-2_task-encoding_run-1_bold,# TRs
dummy_trs,2,sub-04_ses-2_task-encoding_run-2_bold,# TRs
dummy_trs,3,sub-04_ses-2_task-encoding_run-3_bold,# TRs
dummy_trs,3,sub-04_ses-2_task-encoding_run-4_bold,# TRs
dummy_trs,3,sub-04_ses-2_task-encoding_run-5_bold,# TRs
dummy_trs,3,sub-04_ses-2_task-encoding_run-6_bold,# TRs
dummy_trs,3,sub-04_ses-2_task-encoding_run-7_bold,# TRs
dummy_trs,3,sub-04_ses-2_task-encoding_run-8_bold,# TRs
dummy_trs,3,sub-04_ses-2_task-rest_run-1_bold,# TRs
dummy_trs,3,sub-04_ses-2_task-similarity_run-1_bold,# TRs
dummy_trs,4,sub-04_ses-2_task-similarity_run-2_bold,# TRs
dummy_trs,2,sub-06_ses-1_task-encoding_run-1_bold,# TRs
dummy_trs,3,sub-06_ses-1_task-encoding_run-2_bold,# TRs
dummy_trs,2,sub-06_ses-1_task-encoding_run-3_bold,# TRs
dummy_trs,3,sub-06_ses-1_task-encoding_run-4_bold,# TRs
dummy_trs,2,sub-06_ses-1_task-encoding_run-5_bold,# TRs
dummy_trs,4,sub-06_ses-1_task-encoding_run-6_bold,# TRs
dummy_trs,3,sub-06_ses-1_task-encoding_run-7_bold,# TRs
dummy_trs,3,sub-06_ses-1_task-encoding_run-8_bold,# TRs
dummy_trs,3,sub-06_ses-1_task-rest_run-1_bold,# TRs
dummy_trs,1,sub-06_ses-1_task-rest_run-2_bold,# TRs
dummy_trs,3,sub-06_ses-1_task-similarity_run-1_bold,# TRs
dummy_trs,2,sub-06_ses-1_task-similarity_run-2_bold,# TRs
dummy_trs,3,sub-06_ses-2_task-encoding_run-1_bold,# TRs
dummy_trs,3,sub-06_ses-2_task-encoding_run-2_bold,# TRs
dummy_trs,2,sub-06_ses-2_task-encoding_run-3_bold,# TRs
dummy_trs,2,sub-06_ses-2_task-encoding_run-4_bold,# TRs
dummy_trs,3,sub-06_ses-2_task-encoding_run-5_bold,# TRs
dummy_trs,4,sub-06_ses-2_task-encoding_run-6_bold,# TRs
dummy_trs,2,sub-06_ses-2_task-encoding_run-7_bold,# TRs
dummy_trs,2,sub-06_ses-2_task-encoding_run-8_bold,# TRs
dummy_trs,2,sub-06_ses-2_task-rest_run-1_bold,# TRs
dummy_trs,3,sub-06_ses-2_task-similarity_run-1_bold,# TRs
dummy_trs,3,sub-06_ses-2_task-similarity_run-2_bold,# TRs
dummy_trs,2,sub-08_ses-1_task-encoding_run-1_bold,# TRs
dummy_trs,3,sub-08_ses-1_task-encoding_run-2_bold,# TRs
dummy_trs,3,sub-08_ses-1_task-encoding_run-3_bold,# TRs
dummy_trs,2,sub-08_ses-1_task-encoding_run-4_bold,# TRs
dummy_trs,2,sub-08_ses-1_task-encoding_run-5_bold,# TRs
dummy_trs,3,sub-08_ses-1_task-encoding_run-6_bold,# TRs
dummy_trs,3,sub-08_ses-1_task-encoding_run-7_bold,# TRs
dummy_trs,2,sub-08_ses-1_task-encoding_run-8_bold,# TRs
dummy_trs,3,sub-08_ses-1_task-rest_run-1_bold,# TRs
dummy_trs,2,sub-08_ses-1_task-rest_run-2_bold,# TRs
dummy_trs,2,sub-08_ses-1_task-similarity_run-1_bold,# TRs
dummy_trs,2,sub-08_ses-1_task-similarity_run-2_bold,# TRs
dummy_trs,2,sub-08_ses-2_task-encoding_run-1_bold,# TRs
dummy_trs,2,sub-08_ses-2_task-encoding_run-2_bold,# TRs
dummy_trs,2,sub-08_ses-2_task-encoding_run-3_bold,# TRs
dummy_trs,2,sub-08_ses-2_task-encoding_run-4_bold,# TRs
dummy_trs,3,sub-08_ses-2_task-encoding_run-5_bold,# TRs
dummy_trs,3,sub-08_ses-2_task-encoding_run-6_bold,# TRs
dummy_trs,2,sub-08_ses-2_task-encoding_run-7_bold,# TRs
dummy_trs,2,sub-08_ses-2_task-encoding_run-8_bold,# TRs
dummy_trs,2,sub-08_ses-2_task-rest_run-1_bold,# TRs
dummy_trs,2,sub-08_ses-2_task-similarity_run-1_bold,# TRs
dummy_trs,2,sub-08_ses-2_task-similarity_run-2_bold,# TRs
dummy_trs,3,sub-09_ses-1_task-encoding_run-1_bold,# TRs
dummy_trs,3,sub-09_ses-1_task-encoding_run-2_bold,# TRs
dummy_trs,3,sub-09_ses-1_task-encoding_run-3_bold,# TRs
dummy_trs,3,sub-09_ses-1_task-encoding_run-4_bold,# TRs
dummy_trs,3,sub-09_ses-1_task-encoding_run-5_bold,# TRs
dummy_trs,2,sub-09_ses-1_task-encoding_run-6_bold,# TRs
dummy_trs,3,sub-09_ses-1_task-encoding_run-7_bold,# TRs
dummy_trs,2,sub-09_ses-1_task-encoding_run-8_bold,# TRs
dummy_trs,2,sub-09_ses-1_task-rest_run-1_bold,# TRs
dummy_trs,3,sub-09_ses-1_task-rest_run-2_bold,# TRs
dummy_trs,3,sub-09_ses-1_task-similarity_run-1_bold,# TRs
dummy_trs,3,sub-09_ses-1_task-similarity_run-2_bold,# TRs
dummy_trs,2,sub-09_ses-2_task-encoding_run-1_bold,# TRs
dummy_trs,3,sub-09_ses-2_task-encoding_run-2_bold,# TRs
dummy_trs,3,sub-09_ses-2_task-encoding_run-3_bold,# TRs
dummy_trs,3,sub-09_ses-2_task-encoding_run-4_bold,# TRs
dummy_trs,3,sub-09_ses-2_task-encoding_run-5_bold,# TRs
dummy_trs,3,sub-09_ses-2_task-encoding_run-6_bold,# TRs
dummy_trs,4,sub-09_ses-2_task-encoding_run-7_bold,# TRs
dummy_trs,3,sub-09_ses-2_task-encoding_run-8_bold,# TRs
dummy_trs,3,sub-09_ses-2_task-rest_run-1_bold,# TRs
dummy_trs,3,sub-09_ses-2_task-similarity_run-1_bold,# TRs
dummy_trs,3,sub-09_ses-2_task-similarity_run-2_bold,# TRs
dummy_trs,2,sub-10_ses-1_task-encoding_run-1_bold,# TRs
dummy_trs,3,sub-10_ses-1_task-encoding_run-2_bold,# TRs
dummy_trs,2,sub-10_ses-1_task-encoding_run-3_bold,# TRs
dummy_trs,2,sub-10_ses-1_task-encoding_run-4_bold,# TRs
dummy_trs,2,sub-10_ses-1_task-encoding_run-5_bold,# TRs
dummy_trs,2,sub-10_ses-1_task-encoding_run-6_bold,# TRs
dummy_trs,2,sub-10_ses-1_task-encoding_run-7_bold,# TRs
dummy_trs,4,sub-10_ses-1_task-encoding_run-8_bold,# TRs
dummy_trs,2,sub-10_ses-1_task-rest_run-1_bold,# TRs
dummy_trs,3,sub-10_ses-1_task-rest_run-2_bold,# TRs
dummy_trs,3,sub-10_ses-1_task-similarity_run-1_bold,# TRs
dummy_trs,3,sub-10_ses-1_task-similarity_run-2_bold,# TRs
dummy_trs,2,sub-10_ses-2_task-encoding_run-1_bold,# TRs
dummy_trs,3,sub-10_ses-2_task-encoding_run-2_bold,# TRs
dummy_trs,2,sub-10_ses-2_task-encoding_run-3_bold,# TRs
dummy_trs,3,sub-10_ses-2_task-encoding_run-4_bold,# TRs
dummy_trs,2,sub-10_ses-2_task-encoding_run-5_bold,# TRs
dummy_trs,2,sub-10_ses-2_task-encoding_run-6_bold,# TRs
dummy_trs,2,sub-10_ses-2_task-encoding_run-7_bold,# TRs
dummy_trs,3,sub-10_ses-2_task-encoding_run-8_bold,# TRs
dummy_trs,2,sub-10_ses-2_task-rest_run-1_bold,# TRs
dummy_trs,3,sub-10_ses-2_task-similarity_run-1_bold,# TRs
dummy_trs,2,sub-10_ses-2_task-similarity_run-2_bold,# TRs
dummy_trs,3,sub-11_ses-1_task-encoding_run-1_bold,# TRs
dummy_trs,2,sub-11_ses-1_task-encoding_run-2_bold,# TRs
dummy_trs,4,sub-11_ses-1_task-encoding_run-3_bold,# TRs
dummy_trs,3,sub-11_ses-1_task-encoding_run-4_bold,# TRs
dummy_trs,4,sub-11_ses-1_task-encoding_run-5_bold,# TRs
dummy_trs,2,sub-11_ses-1_task-encoding_run-6_bold,# TRs
dummy_trs,3,sub-11_ses-1_task-encoding_run-7_bold,# TRs
dummy_trs,2,sub-11_ses-1_task-encoding_run-8_bold,# TRs
dummy_trs,4,sub-11_ses-1_task-rest_run-1_bold,# TRs
dummy_trs,2,sub-11_ses-1_task-rest_run-2_bold,# TRs
dummy_trs,3,sub-11_ses-1_task-similarity_run-1_bold,# TRs
dummy_trs,2,sub-11_ses-1_task-similarity_run-2_bold,# TRs
dummy_trs,3,sub-11_ses-2_task-encoding_run-1_bold,# TRs
dummy_trs,2,sub-11_ses-2_task-encoding_run-2_bold,# TRs
dummy_trs,2,sub-11_ses-2_task-encoding_run-3_bold,# TRs
dummy_trs,2,sub-11_ses-2_task-encoding_run-4_bold,# TRs
dummy_trs,2,sub-11_ses-2_task-encoding_run-5_bold,# TRs
dummy_trs,2,sub-11_ses-2_task-encoding_run-6_bold,# TRs
dummy_trs,2,sub-11_ses-2_task-encoding_run-7_bold,# TRs
dummy_trs,2,sub-11_ses-2_task-encoding_run-8_bold,# TRs
dummy_trs,2,sub-11_ses-2_task-rest_run-1_bold,# TRs
dummy_trs,2,sub-11_ses-2_task-similarity_run-1_bold,# TRs
dummy_trs,3,sub-11_ses-2_task-similarity_run-2_bold,# TRs
dummy_trs,3,sub-13_ses-1_task-encoding_run-1_bold,# TRs
dummy_trs,3,sub-13_ses-1_task-encoding_run-2_bold,# TRs
dummy_trs,3,sub-13_ses-1_task-encoding_run-3_bold,# TRs
dummy_trs,3,sub-13_ses-1_task-encoding_run-4_bold,# TRs
dummy_trs,3,sub-13_ses-1_task-encoding_run-5_bold,# TRs
dummy_trs,3,sub-13_ses-1_task-encoding_run-6_bold,# TRs
dummy_trs,4,sub-13_ses-1_task-encoding_run-7_bold,# TRs
dummy_trs,3,sub-13_ses-1_task-encoding_run-8_bold,# TRs
dummy_trs,3,sub-13_ses-1_task-rest_run-1_bold,# TRs
dummy_trs,3,sub-13_ses-1_task-rest_run-2_bold,# TRs
dummy_trs,4,sub-13_ses-1_task-similarity_run-1_bold,# TRs
dummy_trs,3,sub-13_ses-1_task-similarity_run-2_bold,# TRs
dummy_trs,3,sub-13_ses-2_task-encoding_run-1_bold,# TRs
dummy_trs,3,sub-13_ses-2_task-encoding_run-2_bold,# TRs
dummy_trs,4,sub-13_ses-2_task-encoding_run-3_bold,# TRs
dummy_trs,3,sub-13_ses-2_task-encoding_run-4_bold,# TRs
dummy_trs,4,sub-13_ses-2_task-encoding_run-5_bold,# TRs
dummy_trs,2,sub-13_ses-2_task-encoding_run-6_bold,# TRs
dummy_trs,3,sub-13_ses-2_task-encoding_run-7_bold,# TRs
dummy_trs,4,sub-13_ses-2_task-encoding_run-8_bold,# TRs
dummy_trs,2,sub-13_ses-2_task-rest_run-1_bold,# TRs
dummy_trs,4,sub-13_ses-2_task-similarity_run-1_bold,# TRs
dummy_trs,3,sub-13_ses-2_task-similarity_run-2_bold,# TRs
dummy_trs,2,sub-14_ses-1_task-encoding_run-1_bold,# TRs
dummy_trs,7,sub-14_ses-1_task-encoding_run-2_bold,# TRs
dummy_trs,2,sub-14_ses-1_task-encoding_run-3_bold,# TRs
dummy_trs,2,sub-14_ses-1_task-encoding_run-4_bold,# TRs
dummy_trs,2,sub-14_ses-1_task-encoding_run-5_bold,# TRs
dummy_trs,2,sub-14_ses-1_task-encoding_run-6_bold,# TRs
dummy_trs,2,sub-14_ses-1_task-encoding_run-7_bold,# TRs
dummy_trs,2,sub-14_ses-1_task-encoding_run-8_bold,# TRs
dummy_trs,2,sub-14_ses-1_task-rest_run-1_bold,# TRs
dummy_trs,2,sub-14_ses-1_task-rest_run-2_bold,# TRs
dummy_trs,2,sub-14_ses-1_task-similarity_run-1_bold,# TRs
dummy_trs,2,sub-14_ses-1_task-similarity_run-2_bold,# TRs
dummy_trs,2,sub-14_ses-2_task-encoding_run-1_bold,# TRs
dummy_trs,2,sub-14_ses-2_task-encoding_run-2_bold,# TRs
dummy_trs,2,sub-14_ses-2_task-encoding_run-3_bold,# TRs
dummy_trs,1,sub-14_ses-2_task-encoding_run-4_bold,# TRs
dummy_trs,13,sub-14_ses-2_task-encoding_run-5_bold,# TRs
dummy_trs,2,sub-14_ses-2_task-encoding_run-6_bold,# TRs
dummy_trs,2,sub-14_ses-2_task-encoding_run-7_bold,# TRs
dummy_trs,1,sub-14_ses-2_task-encoding_run-8_bold,# TRs
dummy_trs,2,sub-14_ses-2_task-rest_run-1_bold,# TRs
dummy_trs,2,sub-14_ses-2_task-similarity_run-1_bold,# TRs
dummy_trs,2,sub-14_ses-2_task-similarity_run-2_bold,# TRs
dummy_trs,2,sub-16_ses-1_task-encoding_run-1_bold,# TRs
dummy_trs,3,sub-16_ses-1_task-encoding_run-2_bold,# TRs
dummy_trs,2,sub-16_ses-1_task-encoding_run-3_bold,# TRs
dummy_trs,3,sub-16_ses-1_task-encoding_run-4_bold,# TRs
dummy_trs,4,sub-16_ses-1_task-encoding_run-5_bold,# TRs
dummy_trs,2,sub-16_ses-1_task-encoding_run-6_bold,# TRs
dummy_trs,3,sub-16_ses-1_task-encoding_run-7_bold,# TRs
dummy_trs,2,sub-16_ses-1_task-encoding_run-8_bold,# TRs
dummy_trs,3,sub-16_ses-1_task-rest_run-1_bold,# TRs
dummy_trs,2,sub-16_ses-1_task-rest_run-2_bold,# TRs
dummy_trs,4,sub-16_ses-1_task-similarity_run-1_bold,# TRs
dummy_trs,2,sub-16_ses-1_task-similarity_run-2_bold,# TRs
dummy_trs,3,sub-16_ses-2_task-encoding_run-1_bold,# TRs
dummy_trs,2,sub-16_ses-2_task-encoding_run-2_bold,# TRs
dummy_trs,2,sub-16_ses-2_task-encoding_run-3_bold,# TRs
dummy_trs,3,sub-16_ses-2_task-encoding_run-4_bold,# TRs
dummy_trs,3,sub-16_ses-2_task-encoding_run-5_bold,# TRs
dummy_trs,3,sub-16_ses-2_task-encoding_run-6_bold,# TRs
dummy_trs,3,sub-16_ses-2_task-encoding_run-7_bold,# TRs
dummy_trs,2,sub-16_ses-2_task-encoding_run-8_bold,# TRs
dummy_trs,3,sub-16_ses-2_task-rest_run-1_bold,# TRs
dummy_trs,3,sub-16_ses-2_task-similarity_run-1_bold,# TRs
dummy_trs,3,sub-16_ses-2_task-similarity_run-2_bold,# TRs
dummy_trs,2,sub-17_ses-1_task-encoding_run-1_bold,# TRs
dummy_trs,2,sub-17_ses-1_task-encoding_run-2_bold,# TRs
dummy_trs,2,sub-17_ses-1_task-encoding_run-3_bold,# TRs
dummy_trs,2,sub-17_ses-1_task-encoding_run-4_bold,# TRs
dummy_trs,3,sub-17_ses-1_task-encoding_run-5_bold,# TRs
dummy_trs,3,sub-17_ses-1_task-encoding_run-6_bold,# TRs
dummy_trs,2,sub-17_ses-1_task-encoding_run-7_bold,# TRs
dummy_trs,3,sub-17_ses-1_task-encoding_run-8_bold,# TRs
dummy_trs,2,sub-17_ses-1_task-rest_run-1_bold,# TRs
dummy_trs,2,sub-17_ses-1_task-rest_run-2_bold,# TRs
dummy_trs,3,sub-17_ses-1_task-similarity_run-1_bold,# TRs
dummy_trs,3,sub-17_ses-1_task-similarity_run-2_bold,# TRs
dummy_trs,2,sub-17_ses-2_task-encoding_run-1_bold,# TRs
dummy_trs,3,sub-17_ses-2_task-encoding_run-2_bold,# TRs
dummy_trs,3,sub-17_ses-2_task-encoding_run-3_bold,# TRs
dummy_trs,2,sub-17_ses-2_task-encoding_run-4_bold,# TRs
dummy_trs,3,sub-17_ses-2_task-encoding_run-5_bold,# TRs
dummy_trs,3,sub-17_ses-2_task-encoding_run-6_bold,# TRs
dummy_trs,3,sub-17_ses-2_task-encoding_run-7_bold,# TRs
dummy_trs,3,sub-17_ses-2_task-encoding_run-8_bold,# TRs
dummy_trs,4,sub-17_ses-2_task-rest_run-1_bold,# TRs
dummy_trs,2,sub-17_ses-2_task-similarity_run-1_bold,# TRs
dummy_trs,2,sub-17_ses-2_task-similarity_run-2_bold,# TRs
dummy_trs,2,sub-18_ses-1_task-encoding_run-1_bold,# TRs
dummy_trs,3,sub-18_ses-1_task-encoding_run-2_bold,# TRs
dummy_trs,4,sub-18_ses-1_task-encoding_run-3_bold,# TRs
dummy_trs,4,sub-18_ses-1_task-encoding_run-4_bold,# TRs
dummy_trs,3,sub-18_ses-1_task-encoding_run-5_bold,# TRs
dummy_trs,3,sub-18_ses-1_task-encoding_run-6_bold,# TRs
dummy_trs,3,sub-18_ses-1_task-encoding_run-7_bold,# TRs
dummy_trs,5,sub-18_ses-1_task-encoding_run-8_bold,# TRs
dummy_trs,3,sub-18_ses-1_task-rest_run-1_bold,# TRs
dummy_trs,3,sub-18_ses-1_task-rest_run-2_bold,# TRs
dummy_trs,3,sub-18_ses-1_task-similarity_run-1_bold,# TRs
dummy_trs,3,sub-18_ses-1_task-similarity_run-2_bold,# TRs
dummy_trs,3,sub-18_ses-2_task-encoding_run-1_bold,# TRs
dummy_trs,5,sub-18_ses-2_task-encoding_run-2_bold,# TRs
dummy_trs,3,sub-18_ses-2_task-encoding_run-3_bold,# TRs
dummy_trs,3,sub-18_ses-2_task-encoding_run-4_bold,# TRs
dummy_trs,2,sub-18_ses-2_task-encoding_run-5_bold,# TRs
dummy_trs,3,sub-18_ses-2_task-encoding_run-6_bold,# TRs
dummy_trs,9,sub-18_ses-2_task-encoding_run-7_bold,# TRs
dummy_trs,3,sub-18_ses-2_task-encoding_run-8_bold,# TRs
dummy_trs,3,sub-18_ses-2_task-rest_run-1_bold,# TRs
dummy_trs,3,sub-18_ses-2_task-similarity_run-1_bold,# TRs
dummy_trs,4,sub-18_ses-2_task-similarity_run-2_bold,# TRs
dummy_trs,3,sub-19_ses-1_task-encoding_run-1_bold,# TRs
dummy_trs,3,sub-19_ses-1_task-encoding_run-2_bold,# TRs
dummy_trs,3,sub-19_ses-1_task-encoding_run-3_bold,# TRs
dummy_trs,3,sub-19_ses-1_task-encoding_run-4_bold,# TRs
dummy_trs,3,sub-19_ses-1_task-encoding_run-5_bold,# TRs
dummy_trs,3,sub-19_ses-1_task-encoding_run-6_bold,# TRs
dummy_trs,3,sub-19_ses-1_task-encoding_run-7_bold,# TRs
dummy_trs,3,sub-19_ses-1_task-encoding_run-8_bold,# TRs
dummy_trs,3,sub-19_ses-1_task-rest_run-1_bold,# TRs
dummy_trs,3,sub-19_ses-1_task-rest_run-2_bold,# TRs
dummy_trs,3,sub-19_ses-1_task-similarity_run-1_bold,# TRs
dummy_trs,5,sub-19_ses-1_task-similarity_run-2_bold,# TRs
dummy_trs,2,sub-19_ses-2_task-encoding_run-1_bold,# TRs
dummy_trs,4,sub-19_ses-2_task-encoding_run-2_bold,# TRs
dummy_trs,3,sub-19_ses-2_task-encoding_run-3_bold,# TRs
dummy_trs,3,sub-19_ses-2_task-encoding_run-4_bold,# TRs
dummy_trs,3,sub-19_ses-2_task-encoding_run-5_bold,# TRs
dummy_trs,2,sub-19_ses-2_task-encoding_run-6_bold,# TRs
dummy_trs,3,sub-19_ses-2_task-encoding_run-7_bold,# TRs
dummy_trs,2,sub-19_ses-2_task-encoding_run-8_bold,# TRs
dummy_trs,3,sub-19_ses-2_task-rest_run-1_bold,# TRs
dummy_trs,3,sub-19_ses-2_task-similarity_run-1_bold,# TRs
dummy_trs,4,sub-19_ses-2_task-similarity_run-2_bold,# TRs
dummy_trs,3,sub-20_ses-1_task-encoding_run-1_bold,# TRs
dummy_trs,4,sub-20_ses-1_task-encoding_run-2_bold,# TRs
dummy_trs,3,sub-20_ses-1_task-encoding_run-3_bold,# TRs
dummy_trs,3,sub-20_ses-1_task-encoding_run-4_bold,# TRs
dummy_trs,2,sub-20_ses-1_task-encoding_run-5_bold,# TRs
dummy_trs,2,sub-20_ses-1_task-encoding_run-6_bold,# TRs
dummy_trs,2,sub-20_ses-1_task-encoding_run-7_bold,# TRs
dummy_trs,3,sub-20_ses-1_task-encoding_run-8_bold,# TRs
dummy_trs,2,sub-20_ses-1_task-rest_run-1_bold,# TRs
dummy_trs,3,sub-20_ses-1_task-rest_run-2_bold,# TRs
dummy_trs,3,sub-20_ses-1_task-similarity_run-1_bold,# TRs
dummy_trs,3,sub-20_ses-1_task-similarity_run-2_bold,# TRs
dummy_trs,2,sub-20_ses-2_task-encoding_run-1_bold,# TRs
dummy_trs,3,sub-20_ses-2_task-encoding_run-2_bold,# TRs
dummy_trs,3,sub-20_ses-2_task-encoding_run-3_bold,# TRs
dummy_trs,3,sub-20_ses-2_task-encoding_run-4_bold,# TRs
dummy_trs,4,sub-20_ses-2_task-encoding_run-5_bold,# TRs
dummy_trs,3,sub-20_ses-2_task-encoding_run-6_bold,# TRs
dummy_trs,4,sub-20_ses-2_task-encoding_run-7_bold,# TRs
dummy_trs,2,sub-20_ses-2_task-encoding_run-8_bold,# TRs
dummy_trs,2,sub-20_ses-2_task-rest_run-1_bold,# TRs
dummy_trs,2,sub-20_ses-2_task-similarity_run-1_bold,# TRs
dummy_trs,3,sub-20_ses-2_task-similarity_run-2_bold,# TRs
dummy_trs,2,sub-25_ses-1_task-encoding_run-1_bold,# TRs
dummy_trs,3,sub-25_ses-1_task-encoding_run-2_bold,# TRs
dummy_trs,3,sub-25_ses-1_task-encoding_run-3_bold,# TRs
dummy_trs,2,sub-25_ses-1_task-encoding_run-4_bold,# TRs
dummy_trs,3,sub-25_ses-1_task-encoding_run-5_bold,# TRs
dummy_trs,3,sub-25_ses-1_task-encoding_run-6_bold,# TRs
dummy_trs,4,sub-25_ses-1_task-encoding_run-7_bold,# TRs
dummy_trs,3,sub-25_ses-1_task-encoding_run-8_bold,# TRs
dummy_trs,3,sub-25_ses-1_task-rest_run-1_bold,# TRs
dummy_trs,2,sub-25_ses-1_task-rest_run-2_bold,# TRs
dummy_trs,4,sub-25_ses-1_task-similarity_run-1_bold,# TRs
dummy_trs,4,sub-25_ses-1_task-similarity_run-2_bold,# TRs
dummy_trs,2,sub-25_ses-2_task-encoding_run-1_bold,# TRs
dummy_trs,3,sub-25_ses-2_task-encoding_run-2_bold,# TRs
dummy_trs,4,sub-25_ses-2_task-encoding_run-3_bold,# TRs
dummy_trs,3,sub-25_ses-2_task-encoding_run-4_bold,# TRs
dummy_trs,2,sub-25_ses-2_task-encoding_run-5_bold,# TRs
dummy_trs,3,sub-25_ses-2_task-encoding_run-6_bold,# TRs
dummy_trs,4,sub-25_ses-2_task-encoding_run-7_bold,# TRs
dummy_trs,5,sub-25_ses-2_task-encoding_run-8_bold,# TRs
dummy_trs,5,sub-25_ses-2_task-rest_run-1_bold,# TRs
dummy_trs,3,sub-25_ses-2_task-similarity_run-1_bold,# TRs
dummy_trs,3,sub-25_ses-2_task-similarity_run-2_bold,# TRs
dummy_trs,3,sub-26_ses-1_task-encoding_run-1_bold,# TRs
dummy_trs,3,sub-26_ses-1_task-encoding_run-2_bold,# TRs
dummy_trs,2,sub-26_ses-1_task-encoding_run-3_bold,# TRs
dummy_trs,3,sub-26_ses-1_task-encoding_run-4_bold,# TRs
dummy_trs,2,sub-26_ses-1_task-encoding_run-5_bold,# TRs
dummy_trs,2,sub-26_ses-1_task-encoding_run-6_bold,# TRs
dummy_trs,3,sub-26_ses-1_task-encoding_run-7_bold,# TRs
dummy_trs,2,sub-26_ses-1_task-encoding_run-8_bold,# TRs
dummy_trs,3,sub-26_ses-1_task-rest_run-1_bold,# TRs
dummy_trs,3,sub-26_ses-1_task-rest_run-2_bold,# TRs
dummy_trs,3,sub-26_ses-1_task-similarity_run-1_bold,# TRs
dummy_trs,2,sub-26_ses-1_task-similarity_run-2_bold,# TRs
dummy_trs,3,sub-26_ses-2_task-encoding_run-1_bold,# TRs
dummy_trs,3,sub-26_ses-2_task-encoding_run-2_bold,# TRs
dummy_trs,3,sub-26_ses-2_task-encoding_run-3_bold,# TRs
dummy_trs,3,sub-26_ses-2_task-encoding_run-4_bold,# TRs
dummy_trs,2,sub-26_ses-2_task-encoding_run-5_bold,# TRs
dummy_trs,2,sub-26_ses-2_task-encoding_run-6_bold,# TRs
dummy_trs,3,sub-26_ses-2_task-encoding_run-7_bold,# TRs
dummy_trs,2,sub-26_ses-2_task-encoding_run-8_bold,# TRs
dummy_trs,4,sub-26_ses-2_task-rest_run-1_bold,# TRs
dummy_trs,3,sub-26_ses-2_task-similarity_run-1_bold,# TRs
dummy_trs,2,sub-26_ses-2_task-similarity_run-2_bold,# TRs
dummy_trs,2,sub-27_ses-1_task-encoding_run-1_bold,# TRs
dummy_trs,2,sub-27_ses-1_task-encoding_run-2_bold,# TRs
dummy_trs,3,sub-27_ses-1_task-encoding_run-3_bold,# TRs
dummy_trs,2,sub-27_ses-1_task-encoding_run-4_bold,# TRs
dummy_trs,2,sub-27_ses-1_task-encoding_run-5_bold,# TRs
dummy_trs,2,sub-27_ses-1_task-encoding_run-6_bold,# TRs
dummy_trs,2,sub-27_ses-1_task-encoding_run-7_bold,# TRs
dummy_trs,2,sub-27_ses-1_task-encoding_run-8_bold,# TRs
dummy_trs,2,sub-27_ses-1_task-rest_run-1_bold,# TRs
dummy_trs,2,sub-27_ses-1_task-rest_run-2_bold,# TRs
dummy_trs,2,sub-27_ses-1_task-similarity_run-1_bold,# TRs
dummy_trs,2,sub-27_ses-1_task-similarity_run-2_bold,# TRs
dummy_trs,2,sub-27_ses-2_task-encoding_run-1_bold,# TRs
dummy_trs,2,sub-27_ses-2_task-encoding_run-2_bold,# TRs
dummy_trs,2,sub-27_ses-2_task-encoding_run-3_bold,# TRs
dummy_trs,2,sub-27_ses-2_task-encoding_run-4_bold,# TRs
dummy_trs,2,sub-27_ses-2_task-encoding_run-5_bold,# TRs
dummy_trs,2,sub-27_ses-2_task-encoding_run-6_bold,# TRs
dummy_trs,2,sub-27_ses-2_task-encoding_run-7_bold,# TRs
dummy_trs,2,sub-27_ses-2_task-encoding_run-8_bold,# TRs
dummy_trs,1,sub-27_ses-2_task-rest_run-1_bold,# TRs
dummy_trs,2,sub-27_ses-2_task-similarity_run-1_bold,# TRs
dummy_trs,1,sub-27_ses-2_task-similarity_run-2_bold,# TRs
dummy_trs,2,sub-28_ses-1_task-encoding_run-1_bold,# TRs
dummy_trs,2,sub-28_ses-1_task-encoding_run-2_bold,# TRs
dummy_trs,2,sub-28_ses-1_task-encoding_run-3_bold,# TRs
dummy_trs,5,sub-28_ses-1_task-encoding_run-4_bold,# TRs
dummy_trs,2,sub-28_ses-1_task-encoding_run-5_bold,# TRs
dummy_trs,2,sub-28_ses-1_task-encoding_run-6_bold,# TRs
dummy_trs,2,sub-28_ses-1_task-encoding_run-7_bold,# TRs
dummy_trs,2,sub-28_ses-1_task-encoding_run-8_bold,# TRs
dummy_trs,2,sub-28_ses-1_task-rest_run-1_bold,# TRs
dummy_trs,2,sub-28_ses-1_task-rest_run-2_bold,# TRs
dummy_trs,2,sub-28_ses-1_task-similarity_run-1_bold,# TRs
dummy_trs,4,sub-28_ses-1_task-similarity_run-2_bold,# TRs
dummy_trs,2,sub-28_ses-2_task-encoding_run-1_bold,# TRs
dummy_trs,2,sub-28_ses-2_task-encoding_run-2_bold,# TRs
dummy_trs,2,sub-28_ses-2_task-encoding_run-3_bold,# TRs
dummy_trs,3,sub-28_ses-2_task-encoding_run-4_bold,# TRs
dummy_trs,2,sub-28_ses-2_task-encoding_run-5_bold,# TRs
dummy_trs,4,sub-28_ses-2_task-encoding_run-6_bold,# TRs
dummy_trs,2,sub-28_ses-2_task-encoding_run-7_bold,# TRs
dummy_trs,2,sub-28_ses-2_task-encoding_run-8_bold,# TRs
dummy_trs,3,sub-28_ses-2_task-rest_run-1_bold,# TRs
dummy_trs,2,sub-28_ses-2_task-similarity_run-1_bold,# TRs
dummy_trs,2,sub-28_ses-2_task-similarity_run-2_bold,# TRs
</pre>
<div class="chart-wrapper" id="chart-group11"></div>
<pre class="csvdata" id="data-csv11" style="display: none">
iqm,value,label,units
gcor,0.00519886,sub-01_ses-1_task-encoding_run-1_bold,
gcor,0.00893985,sub-01_ses-1_task-encoding_run-2_bold,
gcor,0.00830892,sub-01_ses-1_task-encoding_run-3_bold,
gcor,0.00678458,sub-01_ses-1_task-encoding_run-4_bold,
gcor,0.0100877,sub-01_ses-1_task-encoding_run-5_bold,
gcor,0.00675035,sub-01_ses-1_task-encoding_run-6_bold,
gcor,0.0115016,sub-01_ses-1_task-encoding_run-7_bold,
gcor,0.0041487,sub-01_ses-1_task-encoding_run-8_bold,
gcor,0.00442457,sub-01_ses-1_task-rest_run-1_bold,
gcor,0.00649346,sub-01_ses-1_task-similarity_run-1_bold,
gcor,0.0124395,sub-01_ses-1_task-similarity_run-2_bold,
gcor,0.0204914,sub-01_ses-2_task-encoding_run-1_bold,
gcor,0.0171597,sub-01_ses-2_task-encoding_run-2_bold,
gcor,0.0121798,sub-01_ses-2_task-encoding_run-3_bold,
gcor,0.0146797,sub-01_ses-2_task-encoding_run-4_bold,
gcor,0.0150224,sub-01_ses-2_task-encoding_run-5_bold,
gcor,0.00591053,sub-01_ses-2_task-encoding_run-6_bold,
gcor,0.0111448,sub-01_ses-2_task-encoding_run-7_bold,
gcor,0.00827855,sub-01_ses-2_task-encoding_run-8_bold,
gcor,0.00988511,sub-01_ses-2_task-rest_run-1_bold,
gcor,0.00761785,sub-01_ses-2_task-similarity_run-1_bold,
gcor,0.0097185,sub-01_ses-2_task-similarity_run-2_bold,
gcor,0.00575074,sub-02_ses-1_task-encoding_run-1_bold,
gcor,0.040208,sub-02_ses-1_task-encoding_run-2_bold,
gcor,0.00496858,sub-02_ses-1_task-encoding_run-3_bold,
gcor,0.00315028,sub-02_ses-1_task-encoding_run-4_bold,
gcor,0.00264045,sub-02_ses-1_task-encoding_run-5_bold,
gcor,0.00309651,sub-02_ses-1_task-encoding_run-6_bold,
gcor,0.00360332,sub-02_ses-1_task-encoding_run-7_bold,
gcor,0.0213666,sub-02_ses-1_task-encoding_run-8_bold,
gcor,0.0136147,sub-02_ses-1_task-rest_run-1_bold,
gcor,0.0216974,sub-02_ses-1_task-rest_run-2_bold,
gcor,0.0510218,sub-02_ses-1_task-similarity_run-1_bold,
gcor,0.00642302,sub-02_ses-1_task-similarity_run-2_bold,
gcor,0.0126216,sub-02_ses-2_task-encoding_run-1_bold,
gcor,0.00822462,sub-02_ses-2_task-encoding_run-2_bold,
gcor,0.0109421,sub-02_ses-2_task-encoding_run-3_bold,
gcor,0.009051,sub-02_ses-2_task-encoding_run-4_bold,
gcor,0.00768677,sub-02_ses-2_task-encoding_run-5_bold,
gcor,0.00942079,sub-02_ses-2_task-encoding_run-6_bold,
gcor,0.012685,sub-02_ses-2_task-encoding_run-7_bold,
gcor,0.00870909,sub-02_ses-2_task-encoding_run-8_bold,
gcor,0.00525268,sub-02_ses-2_task-rest_run-1_bold,
gcor,0.0337482,sub-02_ses-2_task-similarity_run-1_bold,
gcor,0.0131151,sub-02_ses-2_task-similarity_run-2_bold,
gcor,0.0030265,sub-03_ses-1_task-encoding_run-1_bold,
gcor,0.00359614,sub-03_ses-1_task-encoding_run-2_bold,
gcor,0.00334484,sub-03_ses-1_task-encoding_run-3_bold,
gcor,0.00436388,sub-03_ses-1_task-encoding_run-4_bold,
gcor,0.002105,sub-03_ses-1_task-encoding_run-5_bold,
gcor,0.00307626,sub-03_ses-1_task-encoding_run-6_bold,
gcor,0.00295011,sub-03_ses-1_task-encoding_run-7_bold,
gcor,0.0044912,sub-03_ses-1_task-encoding_run-8_bold,
gcor,0.00960186,sub-03_ses-1_task-rest_run-1_bold,
gcor,0.00510575,sub-03_ses-1_task-rest_run-2_bold,
gcor,0.004452,sub-03_ses-1_task-similarity_run-1_bold,
gcor,0.00689178,sub-03_ses-1_task-similarity_run-2_bold,
gcor,0.00455389,sub-03_ses-2_task-encoding_run-1_bold,
gcor,0.00393642,sub-03_ses-2_task-encoding_run-2_bold,
gcor,0.00328212,sub-03_ses-2_task-encoding_run-3_bold,
gcor,0.00579655,sub-03_ses-2_task-encoding_run-4_bold,
gcor,0.00593442,sub-03_ses-2_task-encoding_run-5_bold,
gcor,0.00368443,sub-03_ses-2_task-encoding_run-6_bold,
gcor,0.00346491,sub-03_ses-2_task-encoding_run-7_bold,
gcor,0.00550077,sub-03_ses-2_task-encoding_run-8_bold,
gcor,0.00260708,sub-03_ses-2_task-rest_run-1_bold,
gcor,0.00646796,sub-03_ses-2_task-similarity_run-1_bold,
gcor,0.00403812,sub-03_ses-2_task-similarity_run-2_bold,
gcor,0.00379988,sub-04_ses-1_task-encoding_run-1_bold,
gcor,0.00242391,sub-04_ses-1_task-encoding_run-2_bold,
gcor,0.00397164,sub-04_ses-1_task-encoding_run-3_bold,
gcor,0.00401464,sub-04_ses-1_task-encoding_run-4_bold,
gcor,0.00440653,sub-04_ses-1_task-encoding_run-5_bold,
gcor,0.0053046,sub-04_ses-1_task-encoding_run-6_bold,
gcor,0.00417373,sub-04_ses-1_task-encoding_run-7_bold,
gcor,0.00610686,sub-04_ses-1_task-encoding_run-8_bold,
gcor,0.0237283,sub-04_ses-1_task-rest_run-1_bold,
gcor,0.010538,sub-04_ses-1_task-rest_run-2_bold,
gcor,0.007454,sub-04_ses-1_task-similarity_run-1_bold,
gcor,0.00816906,sub-04_ses-1_task-similarity_run-2_bold,
gcor,0.00549614,sub-04_ses-2_task-encoding_run-1_bold,
gcor,0.0117434,sub-04_ses-2_task-encoding_run-2_bold,
gcor,0.00410892,sub-04_ses-2_task-encoding_run-3_bold,
gcor,0.0045945,sub-04_ses-2_task-encoding_run-4_bold,
gcor,0.0053713,sub-04_ses-2_task-encoding_run-5_bold,
gcor,0.0082716,sub-04_ses-2_task-encoding_run-6_bold,
gcor,0.00588993,sub-04_ses-2_task-encoding_run-7_bold,
gcor,0.00656761,sub-04_ses-2_task-encoding_run-8_bold,
gcor,0.00750824,sub-04_ses-2_task-rest_run-1_bold,
gcor,0.00809155,sub-04_ses-2_task-similarity_run-1_bold,
gcor,0.00748392,sub-04_ses-2_task-similarity_run-2_bold,
gcor,0.0114747,sub-06_ses-1_task-encoding_run-1_bold,
gcor,0.00525608,sub-06_ses-1_task-encoding_run-2_bold,
gcor,0.00873945,sub-06_ses-1_task-encoding_run-3_bold,
gcor,0.00393923,sub-06_ses-1_task-encoding_run-4_bold,
gcor,0.0173607,sub-06_ses-1_task-encoding_run-5_bold,
gcor,0.00574499,sub-06_ses-1_task-encoding_run-6_bold,
gcor,0.00407874,sub-06_ses-1_task-encoding_run-7_bold,
gcor,0.0078366,sub-06_ses-1_task-encoding_run-8_bold,
gcor,0.00863539,sub-06_ses-1_task-rest_run-1_bold,
gcor,0.0204447,sub-06_ses-1_task-rest_run-2_bold,
gcor,0.0086589,sub-06_ses-1_task-similarity_run-1_bold,
gcor,0.00818162,sub-06_ses-1_task-similarity_run-2_bold,
gcor,0.00216471,sub-06_ses-2_task-encoding_run-1_bold,
gcor,0.00371044,sub-06_ses-2_task-encoding_run-2_bold,
gcor,0.012471,sub-06_ses-2_task-encoding_run-3_bold,
gcor,0.0134744,sub-06_ses-2_task-encoding_run-4_bold,
gcor,0.00474278,sub-06_ses-2_task-encoding_run-5_bold,
gcor,0.00661408,sub-06_ses-2_task-encoding_run-6_bold,
gcor,0.00937627,sub-06_ses-2_task-encoding_run-7_bold,
gcor,0.00670536,sub-06_ses-2_task-encoding_run-8_bold,
gcor,0.00791142,sub-06_ses-2_task-rest_run-1_bold,
gcor,0.00669431,sub-06_ses-2_task-similarity_run-1_bold,
gcor,0.0078513,sub-06_ses-2_task-similarity_run-2_bold,
gcor,0.00709635,sub-08_ses-1_task-encoding_run-1_bold,
gcor,0.00573781,sub-08_ses-1_task-encoding_run-2_bold,
gcor,0.00626417,sub-08_ses-1_task-encoding_run-3_bold,
gcor,0.00565901,sub-08_ses-1_task-encoding_run-4_bold,
gcor,0.00521853,sub-08_ses-1_task-encoding_run-5_bold,
gcor,0.00617361,sub-08_ses-1_task-encoding_run-6_bold,
gcor,0.00840703,sub-08_ses-1_task-encoding_run-7_bold,
gcor,0.00735213,sub-08_ses-1_task-encoding_run-8_bold,
gcor,0.0132965,sub-08_ses-1_task-rest_run-1_bold,
gcor,0.0131207,sub-08_ses-1_task-rest_run-2_bold,
gcor,0.0176213,sub-08_ses-1_task-similarity_run-1_bold,
gcor,0.0221663,sub-08_ses-1_task-similarity_run-2_bold,
gcor,0.011422,sub-08_ses-2_task-encoding_run-1_bold,
gcor,0.00915489,sub-08_ses-2_task-encoding_run-2_bold,
gcor,0.00522968,sub-08_ses-2_task-encoding_run-3_bold,
gcor,0.00789831,sub-08_ses-2_task-encoding_run-4_bold,
gcor,0.00700764,sub-08_ses-2_task-encoding_run-5_bold,
gcor,0.0126953,sub-08_ses-2_task-encoding_run-6_bold,
gcor,0.00872047,sub-08_ses-2_task-encoding_run-7_bold,
gcor,0.0118882,sub-08_ses-2_task-encoding_run-8_bold,
gcor,0.0116485,sub-08_ses-2_task-rest_run-1_bold,
gcor,0.0138994,sub-08_ses-2_task-similarity_run-1_bold,
gcor,0.0150143,sub-08_ses-2_task-similarity_run-2_bold,
gcor,0.00796397,sub-09_ses-1_task-encoding_run-1_bold,
gcor,0.006775,sub-09_ses-1_task-encoding_run-2_bold,
gcor,0.00849751,sub-09_ses-1_task-encoding_run-3_bold,
gcor,0.0074574,sub-09_ses-1_task-encoding_run-4_bold,
gcor,0.00988687,sub-09_ses-1_task-encoding_run-5_bold,
gcor,0.00944591,sub-09_ses-1_task-encoding_run-6_bold,
gcor,0.0100884,sub-09_ses-1_task-encoding_run-7_bold,
gcor,0.00911265,sub-09_ses-1_task-encoding_run-8_bold,
gcor,0.0208006,sub-09_ses-1_task-rest_run-1_bold,
gcor,0.011623,sub-09_ses-1_task-rest_run-2_bold,
gcor,0.00818661,sub-09_ses-1_task-similarity_run-1_bold,
gcor,0.00643555,sub-09_ses-1_task-similarity_run-2_bold,
gcor,0.0193862,sub-09_ses-2_task-encoding_run-1_bold,
gcor,0.00860909,sub-09_ses-2_task-encoding_run-2_bold,
gcor,0.00647591,sub-09_ses-2_task-encoding_run-3_bold,
gcor,0.00681152,sub-09_ses-2_task-encoding_run-4_bold,
gcor,0.0153727,sub-09_ses-2_task-encoding_run-5_bold,
gcor,0.00858988,sub-09_ses-2_task-encoding_run-6_bold,
gcor,0.00339338,sub-09_ses-2_task-encoding_run-7_bold,
gcor,0.00451465,sub-09_ses-2_task-encoding_run-8_bold,
gcor,0.00398678,sub-09_ses-2_task-rest_run-1_bold,
gcor,0.00586244,sub-09_ses-2_task-similarity_run-1_bold,
gcor,0.00589429,sub-09_ses-2_task-similarity_run-2_bold,
gcor,0.00500778,sub-10_ses-1_task-encoding_run-1_bold,
gcor,0.00343757,sub-10_ses-1_task-encoding_run-2_bold,
gcor,0.0061795,sub-10_ses-1_task-encoding_run-3_bold,
gcor,0.0044223,sub-10_ses-1_task-encoding_run-4_bold,
gcor,0.00542115,sub-10_ses-1_task-encoding_run-5_bold,
gcor,0.00531113,sub-10_ses-1_task-encoding_run-6_bold,
gcor,0.00390342,sub-10_ses-1_task-encoding_run-7_bold,
gcor,0.00351807,sub-10_ses-1_task-encoding_run-8_bold,
gcor,0.014857,sub-10_ses-1_task-rest_run-1_bold,
gcor,0.00575866,sub-10_ses-1_task-rest_run-2_bold,
gcor,0.0119132,sub-10_ses-1_task-similarity_run-1_bold,
gcor,0.0106961,sub-10_ses-1_task-similarity_run-2_bold,
gcor,0.00834407,sub-10_ses-2_task-encoding_run-1_bold,
gcor,0.0118682,sub-10_ses-2_task-encoding_run-2_bold,
gcor,0.00468178,sub-10_ses-2_task-encoding_run-3_bold,
gcor,0.007847,sub-10_ses-2_task-encoding_run-4_bold,
gcor,0.00729552,sub-10_ses-2_task-encoding_run-5_bold,
gcor,0.0060763,sub-10_ses-2_task-encoding_run-6_bold,
gcor,0.00386795,sub-10_ses-2_task-encoding_run-7_bold,
gcor,0.00563184,sub-10_ses-2_task-encoding_run-8_bold,
gcor,0.00845005,sub-10_ses-2_task-rest_run-1_bold,
gcor,0.00206167,sub-10_ses-2_task-similarity_run-1_bold,
gcor,0.0060849,sub-10_ses-2_task-similarity_run-2_bold,
gcor,0.00278496,sub-11_ses-1_task-encoding_run-1_bold,
gcor,0.00377527,sub-11_ses-1_task-encoding_run-2_bold,
gcor,0.00382072,sub-11_ses-1_task-encoding_run-3_bold,
gcor,0.00499283,sub-11_ses-1_task-encoding_run-4_bold,
gcor,0.00458298,sub-11_ses-1_task-encoding_run-5_bold,
gcor,0.00527685,sub-11_ses-1_task-encoding_run-6_bold,
gcor,0.00363843,sub-11_ses-1_task-encoding_run-7_bold,
gcor,0.00434547,sub-11_ses-1_task-encoding_run-8_bold,
gcor,0.00596739,sub-11_ses-1_task-rest_run-1_bold,
gcor,0.00629217,sub-11_ses-1_task-rest_run-2_bold,
gcor,0.00818,sub-11_ses-1_task-similarity_run-1_bold,
gcor,0.00547596,sub-11_ses-1_task-similarity_run-2_bold,
gcor,0.00790234,sub-11_ses-2_task-encoding_run-1_bold,
gcor,0.00936232,sub-11_ses-2_task-encoding_run-2_bold,
gcor,0.0130419,sub-11_ses-2_task-encoding_run-3_bold,
gcor,0.00901303,sub-11_ses-2_task-encoding_run-4_bold,
gcor,0.00921511,sub-11_ses-2_task-encoding_run-5_bold,
gcor,0.0108349,sub-11_ses-2_task-encoding_run-6_bold,
gcor,0.02095,sub-11_ses-2_task-encoding_run-7_bold,
gcor,0.0151909,sub-11_ses-2_task-encoding_run-8_bold,
gcor,0.0087559,sub-11_ses-2_task-rest_run-1_bold,
gcor,0.0100644,sub-11_ses-2_task-similarity_run-1_bold,
gcor,0.010952,sub-11_ses-2_task-similarity_run-2_bold,
gcor,0.00347965,sub-13_ses-1_task-encoding_run-1_bold,
gcor,0.00346067,sub-13_ses-1_task-encoding_run-2_bold,
gcor,0.00462475,sub-13_ses-1_task-encoding_run-3_bold,
gcor,0.00348905,sub-13_ses-1_task-encoding_run-4_bold,
gcor,0.0054684,sub-13_ses-1_task-encoding_run-5_bold,
gcor,0.00382493,sub-13_ses-1_task-encoding_run-6_bold,
gcor,0.00344266,sub-13_ses-1_task-encoding_run-7_bold,
gcor,0.00363055,sub-13_ses-1_task-encoding_run-8_bold,
gcor,0.00651378,sub-13_ses-1_task-rest_run-1_bold,
gcor,0.00432158,sub-13_ses-1_task-rest_run-2_bold,
gcor,0.0052807,sub-13_ses-1_task-similarity_run-1_bold,
gcor,0.00377147,sub-13_ses-1_task-similarity_run-2_bold,
gcor,0.00717746,sub-13_ses-2_task-encoding_run-1_bold,
gcor,0.00323096,sub-13_ses-2_task-encoding_run-2_bold,
gcor,0.00595697,sub-13_ses-2_task-encoding_run-3_bold,
gcor,0.00688451,sub-13_ses-2_task-encoding_run-4_bold,
gcor,0.00347197,sub-13_ses-2_task-encoding_run-5_bold,
gcor,0.0092024,sub-13_ses-2_task-encoding_run-6_bold,
gcor,0.0110837,sub-13_ses-2_task-encoding_run-7_bold,
gcor,0.00721978,sub-13_ses-2_task-encoding_run-8_bold,
gcor,0.00594168,sub-13_ses-2_task-rest_run-1_bold,
gcor,0.0139715,sub-13_ses-2_task-similarity_run-1_bold,
gcor,0.00504336,sub-13_ses-2_task-similarity_run-2_bold,
gcor,0.0084669,sub-14_ses-1_task-encoding_run-1_bold,
gcor,0.00501126,sub-14_ses-1_task-encoding_run-2_bold,
gcor,0.0106221,sub-14_ses-1_task-encoding_run-3_bold,
gcor,0.00820256,sub-14_ses-1_task-encoding_run-4_bold,
gcor,0.00684638,sub-14_ses-1_task-encoding_run-5_bold,
gcor,0.0260892,sub-14_ses-1_task-encoding_run-6_bold,
gcor,0.0115775,sub-14_ses-1_task-encoding_run-7_bold,
gcor,0.00798053,sub-14_ses-1_task-encoding_run-8_bold,
gcor,0.0288233,sub-14_ses-1_task-rest_run-1_bold,
gcor,0.0100893,sub-14_ses-1_task-rest_run-2_bold,
gcor,0.0251911,sub-14_ses-1_task-similarity_run-1_bold,
gcor,0.035361,sub-14_ses-1_task-similarity_run-2_bold,
gcor,0.0155047,sub-14_ses-2_task-encoding_run-1_bold,
gcor,0.0357649,sub-14_ses-2_task-encoding_run-2_bold,
gcor,0.0444732,sub-14_ses-2_task-encoding_run-3_bold,
gcor,0.0303988,sub-14_ses-2_task-encoding_run-4_bold,
gcor,0.00443451,sub-14_ses-2_task-encoding_run-5_bold,
gcor,0.0193095,sub-14_ses-2_task-encoding_run-6_bold,
gcor,0.0174354,sub-14_ses-2_task-encoding_run-7_bold,
gcor,0.0216356,sub-14_ses-2_task-encoding_run-8_bold,
gcor,0.0120147,sub-14_ses-2_task-rest_run-1_bold,
gcor,0.0139948,sub-14_ses-2_task-similarity_run-1_bold,
gcor,0.0144992,sub-14_ses-2_task-similarity_run-2_bold,
gcor,0.00866474,sub-16_ses-1_task-encoding_run-1_bold,
gcor,0.00639356,sub-16_ses-1_task-encoding_run-2_bold,
gcor,0.00651033,sub-16_ses-1_task-encoding_run-3_bold,
gcor,0.00620994,sub-16_ses-1_task-encoding_run-4_bold,
gcor,0.00468361,sub-16_ses-1_task-encoding_run-5_bold,
gcor,0.00840942,sub-16_ses-1_task-encoding_run-6_bold,
gcor,0.00694626,sub-16_ses-1_task-encoding_run-7_bold,
gcor,0.00708878,sub-16_ses-1_task-encoding_run-8_bold,
gcor,0.00826223,sub-16_ses-1_task-rest_run-1_bold,
gcor,0.0142731,sub-16_ses-1_task-rest_run-2_bold,
gcor,0.0120702,sub-16_ses-1_task-similarity_run-1_bold,
gcor,0.0118973,sub-16_ses-1_task-similarity_run-2_bold,
gcor,0.00755469,sub-16_ses-2_task-encoding_run-1_bold,
gcor,0.013485,sub-16_ses-2_task-encoding_run-2_bold,
gcor,0.00951167,sub-16_ses-2_task-encoding_run-3_bold,
gcor,0.0109262,sub-16_ses-2_task-encoding_run-4_bold,
gcor,0.0202368,sub-16_ses-2_task-encoding_run-5_bold,
gcor,0.0110479,sub-16_ses-2_task-encoding_run-6_bold,
gcor,0.0102577,sub-16_ses-2_task-encoding_run-7_bold,
gcor,0.007589,sub-16_ses-2_task-encoding_run-8_bold,
gcor,0.0157383,sub-16_ses-2_task-rest_run-1_bold,
gcor,0.00558217,sub-16_ses-2_task-similarity_run-1_bold,
gcor,0.00939684,sub-16_ses-2_task-similarity_run-2_bold,
gcor,0.0157326,sub-17_ses-1_task-encoding_run-1_bold,
gcor,0.0178383,sub-17_ses-1_task-encoding_run-2_bold,
gcor,0.0291217,sub-17_ses-1_task-encoding_run-3_bold,
gcor,0.00448973,sub-17_ses-1_task-encoding_run-4_bold,
gcor,0.00426926,sub-17_ses-1_task-encoding_run-5_bold,
gcor,0.00655107,sub-17_ses-1_task-encoding_run-6_bold,
gcor,0.00494825,sub-17_ses-1_task-encoding_run-7_bold,
gcor,0.00525238,sub-17_ses-1_task-encoding_run-8_bold,
gcor,0.0121966,sub-17_ses-1_task-rest_run-1_bold,
gcor,0.0192691,sub-17_ses-1_task-rest_run-2_bold,
gcor,0.0203475,sub-17_ses-1_task-similarity_run-1_bold,
gcor,0.0125048,sub-17_ses-1_task-similarity_run-2_bold,
gcor,0.00627726,sub-17_ses-2_task-encoding_run-1_bold,
gcor,0.00556037,sub-17_ses-2_task-encoding_run-2_bold,
gcor,0.00548203,sub-17_ses-2_task-encoding_run-3_bold,
gcor,0.00389061,sub-17_ses-2_task-encoding_run-4_bold,
gcor,0.00455766,sub-17_ses-2_task-encoding_run-5_bold,
gcor,0.0047004,sub-17_ses-2_task-encoding_run-6_bold,
gcor,0.00587854,sub-17_ses-2_task-encoding_run-7_bold,
gcor,0.00748046,sub-17_ses-2_task-encoding_run-8_bold,
gcor,0.00426953,sub-17_ses-2_task-rest_run-1_bold,
gcor,0.00818714,sub-17_ses-2_task-similarity_run-1_bold,
gcor,0.00615356,sub-17_ses-2_task-similarity_run-2_bold,
gcor,0.00385928,sub-18_ses-1_task-encoding_run-1_bold,
gcor,0.00306751,sub-18_ses-1_task-encoding_run-2_bold,
gcor,0.00376053,sub-18_ses-1_task-encoding_run-3_bold,
gcor,0.00465017,sub-18_ses-1_task-encoding_run-4_bold,
gcor,0.0049327,sub-18_ses-1_task-encoding_run-5_bold,
gcor,0.00359585,sub-18_ses-1_task-encoding_run-6_bold,
gcor,0.00326153,sub-18_ses-1_task-encoding_run-7_bold,
gcor,0.00320302,sub-18_ses-1_task-encoding_run-8_bold,
gcor,0.00823222,sub-18_ses-1_task-rest_run-1_bold,
gcor,0.00353468,sub-18_ses-1_task-rest_run-2_bold,
gcor,0.00539479,sub-18_ses-1_task-similarity_run-1_bold,
gcor,0.0131216,sub-18_ses-1_task-similarity_run-2_bold,
gcor,0.0231936,sub-18_ses-2_task-encoding_run-1_bold,
gcor,0.00744942,sub-18_ses-2_task-encoding_run-2_bold,
gcor,0.00847599,sub-18_ses-2_task-encoding_run-3_bold,
gcor,0.00821746,sub-18_ses-2_task-encoding_run-4_bold,
gcor,0.0279664,sub-18_ses-2_task-encoding_run-5_bold,
gcor,0.0409281,sub-18_ses-2_task-encoding_run-6_bold,
gcor,0.00543254,sub-18_ses-2_task-encoding_run-7_bold,
gcor,0.00520023,sub-18_ses-2_task-encoding_run-8_bold,
gcor,0.00414763,sub-18_ses-2_task-rest_run-1_bold,
gcor,0.00647322,sub-18_ses-2_task-similarity_run-1_bold,
gcor,0.00577388,sub-18_ses-2_task-similarity_run-2_bold,
gcor,0.00267405,sub-19_ses-1_task-encoding_run-1_bold,
gcor,0.00241128,sub-19_ses-1_task-encoding_run-2_bold,
gcor,0.00271068,sub-19_ses-1_task-encoding_run-3_bold,
gcor,0.0021079,sub-19_ses-1_task-encoding_run-4_bold,
gcor,0.00388541,sub-19_ses-1_task-encoding_run-5_bold,
gcor,0.00427734,sub-19_ses-1_task-encoding_run-6_bold,
gcor,0.00567118,sub-19_ses-1_task-encoding_run-7_bold,
gcor,0.0050585,sub-19_ses-1_task-encoding_run-8_bold,
gcor,0.00774983,sub-19_ses-1_task-rest_run-1_bold,
gcor,0.00511876,sub-19_ses-1_task-rest_run-2_bold,
gcor,0.00580185,sub-19_ses-1_task-similarity_run-1_bold,
gcor,0.00759705,sub-19_ses-1_task-similarity_run-2_bold,
gcor,0.00770784,sub-19_ses-2_task-encoding_run-1_bold,
gcor,0.00734192,sub-19_ses-2_task-encoding_run-2_bold,
gcor,0.00695404,sub-19_ses-2_task-encoding_run-3_bold,
gcor,0.00417154,sub-19_ses-2_task-encoding_run-4_bold,
gcor,0.0221294,sub-19_ses-2_task-encoding_run-5_bold,
gcor,0.0211409,sub-19_ses-2_task-encoding_run-6_bold,
gcor,0.0260949,sub-19_ses-2_task-encoding_run-7_bold,
gcor,0.0163791,sub-19_ses-2_task-encoding_run-8_bold,
gcor,0.0125703,sub-19_ses-2_task-rest_run-1_bold,
gcor,0.00495196,sub-19_ses-2_task-similarity_run-1_bold,
gcor,0.00304213,sub-19_ses-2_task-similarity_run-2_bold,
gcor,0.0117628,sub-20_ses-1_task-encoding_run-1_bold,
gcor,0.0110212,sub-20_ses-1_task-encoding_run-2_bold,
gcor,0.0112184,sub-20_ses-1_task-encoding_run-3_bold,
gcor,0.0121876,sub-20_ses-1_task-encoding_run-4_bold,
gcor,0.00974022,sub-20_ses-1_task-encoding_run-5_bold,
gcor,0.0104811,sub-20_ses-1_task-encoding_run-6_bold,
gcor,0.00870521,sub-20_ses-1_task-encoding_run-7_bold,
gcor,0.00442033,sub-20_ses-1_task-encoding_run-8_bold,
gcor,0.0114752,sub-20_ses-1_task-rest_run-1_bold,
gcor,0.00691826,sub-20_ses-1_task-rest_run-2_bold,
gcor,0.0182207,sub-20_ses-1_task-similarity_run-1_bold,
gcor,0.0110712,sub-20_ses-1_task-similarity_run-2_bold,
gcor,0.0111751,sub-20_ses-2_task-encoding_run-1_bold,
gcor,0.0183544,sub-20_ses-2_task-encoding_run-2_bold,
gcor,0.00818434,sub-20_ses-2_task-encoding_run-3_bold,
gcor,0.00725959,sub-20_ses-2_task-encoding_run-4_bold,
gcor,0.00789249,sub-20_ses-2_task-encoding_run-5_bold,
gcor,0.00667474,sub-20_ses-2_task-encoding_run-6_bold,
gcor,0.00576768,sub-20_ses-2_task-encoding_run-7_bold,
gcor,0.039069,sub-20_ses-2_task-encoding_run-8_bold,
gcor,0.04483,sub-20_ses-2_task-rest_run-1_bold,
gcor,0.0068926,sub-20_ses-2_task-similarity_run-1_bold,
gcor,0.00715519,sub-20_ses-2_task-similarity_run-2_bold,
gcor,0.00877896,sub-25_ses-1_task-encoding_run-1_bold,
gcor,0.0149518,sub-25_ses-1_task-encoding_run-2_bold,
gcor,0.0077684,sub-25_ses-1_task-encoding_run-3_bold,
gcor,0.00935327,sub-25_ses-1_task-encoding_run-4_bold,
gcor,0.00557199,sub-25_ses-1_task-encoding_run-5_bold,
gcor,0.0080946,sub-25_ses-1_task-encoding_run-6_bold,
gcor,0.00736892,sub-25_ses-1_task-encoding_run-7_bold,
gcor,0.00540304,sub-25_ses-1_task-encoding_run-8_bold,
gcor,0.0182257,sub-25_ses-1_task-rest_run-1_bold,
gcor,0.00995698,sub-25_ses-1_task-rest_run-2_bold,
gcor,0.0143705,sub-25_ses-1_task-similarity_run-1_bold,
gcor,0.0303027,sub-25_ses-1_task-similarity_run-2_bold,
gcor,0.0135147,sub-25_ses-2_task-encoding_run-1_bold,
gcor,0.00745615,sub-25_ses-2_task-encoding_run-2_bold,
gcor,0.00661247,sub-25_ses-2_task-encoding_run-3_bold,
gcor,0.00448303,sub-25_ses-2_task-encoding_run-4_bold,
gcor,0.00442891,sub-25_ses-2_task-encoding_run-5_bold,
gcor,0.00340291,sub-25_ses-2_task-encoding_run-6_bold,
gcor,0.00494816,sub-25_ses-2_task-encoding_run-7_bold,
gcor,0.00428956,sub-25_ses-2_task-encoding_run-8_bold,
gcor,0.00659295,sub-25_ses-2_task-rest_run-1_bold,
gcor,0.00397917,sub-25_ses-2_task-similarity_run-1_bold,
gcor,0.00719766,sub-25_ses-2_task-similarity_run-2_bold,
gcor,0.00445232,sub-26_ses-1_task-encoding_run-1_bold,
gcor,0.00270565,sub-26_ses-1_task-encoding_run-2_bold,
gcor,0.00445099,sub-26_ses-1_task-encoding_run-3_bold,
gcor,0.00278603,sub-26_ses-1_task-encoding_run-4_bold,
gcor,0.00334257,sub-26_ses-1_task-encoding_run-5_bold,
gcor,0.00283008,sub-26_ses-1_task-encoding_run-6_bold,
gcor,0.00334178,sub-26_ses-1_task-encoding_run-7_bold,
gcor,0.0021867,sub-26_ses-1_task-encoding_run-8_bold,
gcor,0.0101652,sub-26_ses-1_task-rest_run-1_bold,
gcor,0.0031654,sub-26_ses-1_task-rest_run-2_bold,
gcor,0.00902142,sub-26_ses-1_task-similarity_run-1_bold,
gcor,0.00833229,sub-26_ses-1_task-similarity_run-2_bold,
gcor,0.00678726,sub-26_ses-2_task-encoding_run-1_bold,
gcor,0.00168964,sub-26_ses-2_task-encoding_run-2_bold,
gcor,0.00297114,sub-26_ses-2_task-encoding_run-3_bold,
gcor,0.00275182,sub-26_ses-2_task-encoding_run-4_bold,
gcor,0.00496429,sub-26_ses-2_task-encoding_run-5_bold,
gcor,0.00372542,sub-26_ses-2_task-encoding_run-6_bold,
gcor,0.00182916,sub-26_ses-2_task-encoding_run-7_bold,
gcor,0.0043399,sub-26_ses-2_task-encoding_run-8_bold,
gcor,0.00190416,sub-26_ses-2_task-rest_run-1_bold,
gcor,0.00212358,sub-26_ses-2_task-similarity_run-1_bold,
gcor,0.00307669,sub-26_ses-2_task-similarity_run-2_bold,
gcor,0.00575247,sub-27_ses-1_task-encoding_run-1_bold,
gcor,0.0168986,sub-27_ses-1_task-encoding_run-2_bold,
gcor,0.00688582,sub-27_ses-1_task-encoding_run-3_bold,
gcor,0.0133663,sub-27_ses-1_task-encoding_run-4_bold,
gcor,0.0200905,sub-27_ses-1_task-encoding_run-5_bold,
gcor,0.0279453,sub-27_ses-1_task-encoding_run-6_bold,
gcor,0.0230399,sub-27_ses-1_task-encoding_run-7_bold,
gcor,0.0187535,sub-27_ses-1_task-encoding_run-8_bold,
gcor,0.0251537,sub-27_ses-1_task-rest_run-1_bold,
gcor,0.0177932,sub-27_ses-1_task-rest_run-2_bold,
gcor,0.0239069,sub-27_ses-1_task-similarity_run-1_bold,
gcor,0.00877914,sub-27_ses-1_task-similarity_run-2_bold,
gcor,0.0131659,sub-27_ses-2_task-encoding_run-1_bold,
gcor,0.0254848,sub-27_ses-2_task-encoding_run-2_bold,
gcor,0.021327,sub-27_ses-2_task-encoding_run-3_bold,
gcor,0.0233558,sub-27_ses-2_task-encoding_run-4_bold,
gcor,0.0297729,sub-27_ses-2_task-encoding_run-5_bold,
gcor,0.0255685,sub-27_ses-2_task-encoding_run-6_bold,
gcor,0.0275366,sub-27_ses-2_task-encoding_run-7_bold,
gcor,0.025358,sub-27_ses-2_task-encoding_run-8_bold,
gcor,0.024975,sub-27_ses-2_task-rest_run-1_bold,
gcor,0.0191912,sub-27_ses-2_task-similarity_run-1_bold,
gcor,0.0341602,sub-27_ses-2_task-similarity_run-2_bold,
gcor,0.0282116,sub-28_ses-1_task-encoding_run-1_bold,
gcor,0.0320916,sub-28_ses-1_task-encoding_run-2_bold,
gcor,0.022829,sub-28_ses-1_task-encoding_run-3_bold,
gcor,0.0269634,sub-28_ses-1_task-encoding_run-4_bold,
gcor,0.0211041,sub-28_ses-1_task-encoding_run-5_bold,
gcor,0.0353271,sub-28_ses-1_task-encoding_run-6_bold,
gcor,0.0308525,sub-28_ses-1_task-encoding_run-7_bold,
gcor,0.0309435,sub-28_ses-1_task-encoding_run-8_bold,
gcor,0.0318022,sub-28_ses-1_task-rest_run-1_bold,
gcor,0.0248254,sub-28_ses-1_task-rest_run-2_bold,
gcor,0.0317425,sub-28_ses-1_task-similarity_run-1_bold,
gcor,0.0335649,sub-28_ses-1_task-similarity_run-2_bold,
gcor,0.0212579,sub-28_ses-2_task-encoding_run-1_bold,
gcor,0.0203441,sub-28_ses-2_task-encoding_run-2_bold,
gcor,0.0194394,sub-28_ses-2_task-encoding_run-3_bold,
gcor,0.0238018,sub-28_ses-2_task-encoding_run-4_bold,
gcor,0.0154056,sub-28_ses-2_task-encoding_run-5_bold,
gcor,0.0210526,sub-28_ses-2_task-encoding_run-6_bold,
gcor,0.0247191,sub-28_ses-2_task-encoding_run-7_bold,
gcor,0.021567,sub-28_ses-2_task-encoding_run-8_bold,
gcor,0.0235118,sub-28_ses-2_task-rest_run-1_bold,
gcor,0.0204097,sub-28_ses-2_task-similarity_run-1_bold,
gcor,0.0194093,sub-28_ses-2_task-similarity_run-2_bold,
</pre>
<div class="chart-wrapper" id="chart-group12"></div>
<pre class="csvdata" id="data-csv12" style="display: none">
iqm,value,label,units
tsnr,36.25189208984375,sub-01_ses-1_task-encoding_run-1_bold,
tsnr,31.458399772644043,sub-01_ses-1_task-encoding_run-2_bold,
tsnr,32.73603820800781,sub-01_ses-1_task-encoding_run-3_bold,
tsnr,34.270225524902344,sub-01_ses-1_task-encoding_run-4_bold,
tsnr,35.78126525878906,sub-01_ses-1_task-encoding_run-5_bold,
tsnr,34.18650817871094,sub-01_ses-1_task-encoding_run-6_bold,
tsnr,39.223907470703125,sub-01_ses-1_task-encoding_run-7_bold,
tsnr,39.41461563110352,sub-01_ses-1_task-encoding_run-8_bold,
tsnr,30.04952621459961,sub-01_ses-1_task-rest_run-1_bold,
tsnr,30.499323844909668,sub-01_ses-1_task-similarity_run-1_bold,
tsnr,26.604248046875,sub-01_ses-1_task-similarity_run-2_bold,
tsnr,36.51337432861328,sub-01_ses-2_task-encoding_run-1_bold,
tsnr,36.23933792114258,sub-01_ses-2_task-encoding_run-2_bold,
tsnr,37.30587959289551,sub-01_ses-2_task-encoding_run-3_bold,
tsnr,37.0723934173584,sub-01_ses-2_task-encoding_run-4_bold,
tsnr,23.415266036987305,sub-01_ses-2_task-encoding_run-5_bold,
tsnr,36.29949188232422,sub-01_ses-2_task-encoding_run-6_bold,
tsnr,34.50730323791504,sub-01_ses-2_task-encoding_run-7_bold,
tsnr,35.35098648071289,sub-01_ses-2_task-encoding_run-8_bold,
tsnr,36.96240615844727,sub-01_ses-2_task-rest_run-1_bold,
tsnr,30.761940002441406,sub-01_ses-2_task-similarity_run-1_bold,
tsnr,30.402698516845703,sub-01_ses-2_task-similarity_run-2_bold,
tsnr,33.04077911376953,sub-02_ses-1_task-encoding_run-1_bold,
tsnr,32.339378356933594,sub-02_ses-1_task-encoding_run-2_bold,
tsnr,34.88134002685547,sub-02_ses-1_task-encoding_run-3_bold,
tsnr,34.70740509033203,sub-02_ses-1_task-encoding_run-4_bold,
tsnr,34.81874465942383,sub-02_ses-1_task-encoding_run-5_bold,
tsnr,35.048831939697266,sub-02_ses-1_task-encoding_run-6_bold,
tsnr,35.64974594116211,sub-02_ses-1_task-encoding_run-7_bold,
tsnr,32.766971588134766,sub-02_ses-1_task-encoding_run-8_bold,
tsnr,29.512178421020508,sub-02_ses-1_task-rest_run-1_bold,
tsnr,29.454288482666016,sub-02_ses-1_task-rest_run-2_bold,
tsnr,28.2998104095459,sub-02_ses-1_task-similarity_run-1_bold,
tsnr,30.7429141998291,sub-02_ses-1_task-similarity_run-2_bold,
tsnr,33.258670806884766,sub-02_ses-2_task-encoding_run-1_bold,
tsnr,33.12102508544922,sub-02_ses-2_task-encoding_run-2_bold,
tsnr,32.99641990661621,sub-02_ses-2_task-encoding_run-3_bold,
tsnr,34.065866470336914,sub-02_ses-2_task-encoding_run-4_bold,
tsnr,34.39624786376953,sub-02_ses-2_task-encoding_run-5_bold,
tsnr,34.33335304260254,sub-02_ses-2_task-encoding_run-6_bold,
tsnr,33.79696083068848,sub-02_ses-2_task-encoding_run-7_bold,
tsnr,34.9100399017334,sub-02_ses-2_task-encoding_run-8_bold,
tsnr,34.34393310546875,sub-02_ses-2_task-rest_run-1_bold,
tsnr,29.28015899658203,sub-02_ses-2_task-similarity_run-1_bold,
tsnr,32.94643592834473,sub-02_ses-2_task-similarity_run-2_bold,
tsnr,31.52709579467773,sub-03_ses-1_task-encoding_run-1_bold,
tsnr,31.83126640319824,sub-03_ses-1_task-encoding_run-2_bold,
tsnr,31.4014835357666,sub-03_ses-1_task-encoding_run-3_bold,
tsnr,30.67505645751953,sub-03_ses-1_task-encoding_run-4_bold,
tsnr,32.01474380493164,sub-03_ses-1_task-encoding_run-5_bold,
tsnr,28.934733390808105,sub-03_ses-1_task-encoding_run-6_bold,
tsnr,31.666375160217285,sub-03_ses-1_task-encoding_run-7_bold,
tsnr,31.88852310180664,sub-03_ses-1_task-encoding_run-8_bold,
tsnr,31.16261386871338,sub-03_ses-1_task-rest_run-1_bold,
tsnr,30.69750690460205,sub-03_ses-1_task-rest_run-2_bold,
tsnr,30.385693550109863,sub-03_ses-1_task-similarity_run-1_bold,
tsnr,31.71888542175293,sub-03_ses-1_task-similarity_run-2_bold,
tsnr,29.892040252685547,sub-03_ses-2_task-encoding_run-1_bold,
tsnr,29.09912204742432,sub-03_ses-2_task-encoding_run-2_bold,
tsnr,30.258058547973636,sub-03_ses-2_task-encoding_run-3_bold,
tsnr,29.07679843902588,sub-03_ses-2_task-encoding_run-4_bold,
tsnr,29.93583297729492,sub-03_ses-2_task-encoding_run-5_bold,
tsnr,30.12896156311035,sub-03_ses-2_task-encoding_run-6_bold,
tsnr,28.77081680297852,sub-03_ses-2_task-encoding_run-7_bold,
tsnr,29.73232078552246,sub-03_ses-2_task-encoding_run-8_bold,
tsnr,29.820913314819336,sub-03_ses-2_task-rest_run-1_bold,
tsnr,27.54008960723877,sub-03_ses-2_task-similarity_run-1_bold,
tsnr,29.60614585876465,sub-03_ses-2_task-similarity_run-2_bold,
tsnr,35.92407417297363,sub-04_ses-1_task-encoding_run-1_bold,
tsnr,40.302093505859375,sub-04_ses-1_task-encoding_run-2_bold,
tsnr,39.15740966796875,sub-04_ses-1_task-encoding_run-3_bold,
tsnr,38.70267105102539,sub-04_ses-1_task-encoding_run-4_bold,
tsnr,37.64036178588867,sub-04_ses-1_task-encoding_run-5_bold,
tsnr,37.95391082763672,sub-04_ses-1_task-encoding_run-6_bold,
tsnr,37.681095123291016,sub-04_ses-1_task-encoding_run-7_bold,
tsnr,37.83523941040039,sub-04_ses-1_task-encoding_run-8_bold,
tsnr,35.33868408203125,sub-04_ses-1_task-rest_run-1_bold,
tsnr,38.35747146606445,sub-04_ses-1_task-rest_run-2_bold,
tsnr,34.027727127075195,sub-04_ses-1_task-similarity_run-1_bold,
tsnr,37.29068183898926,sub-04_ses-1_task-similarity_run-2_bold,
tsnr,36.66125297546387,sub-04_ses-2_task-encoding_run-1_bold,
tsnr,37.48493766784668,sub-04_ses-2_task-encoding_run-2_bold,
tsnr,36.03616905212402,sub-04_ses-2_task-encoding_run-3_bold,
tsnr,35.82501411437988,sub-04_ses-2_task-encoding_run-4_bold,
tsnr,35.980804443359375,sub-04_ses-2_task-encoding_run-5_bold,
tsnr,37.022722244262695,sub-04_ses-2_task-encoding_run-6_bold,
tsnr,36.52309799194336,sub-04_ses-2_task-encoding_run-7_bold,
tsnr,36.91792678833008,sub-04_ses-2_task-encoding_run-8_bold,
tsnr,38.50733947753906,sub-04_ses-2_task-rest_run-1_bold,
tsnr,35.961875915527344,sub-04_ses-2_task-similarity_run-1_bold,
tsnr,33.6194953918457,sub-04_ses-2_task-similarity_run-2_bold,
tsnr,27.195707321166992,sub-06_ses-1_task-encoding_run-1_bold,
tsnr,32.799781799316406,sub-06_ses-1_task-encoding_run-2_bold,
tsnr,28.846397399902344,sub-06_ses-1_task-encoding_run-3_bold,
tsnr,33.32458305358887,sub-06_ses-1_task-encoding_run-4_bold,
tsnr,18.21158790588379,sub-06_ses-1_task-encoding_run-5_bold,
tsnr,33.27667617797852,sub-06_ses-1_task-encoding_run-6_bold,
tsnr,33.18120574951172,sub-06_ses-1_task-encoding_run-7_bold,
tsnr,30.180665969848636,sub-06_ses-1_task-encoding_run-8_bold,
tsnr,29.14329433441162,sub-06_ses-1_task-rest_run-1_bold,
tsnr,21.302120208740234,sub-06_ses-1_task-rest_run-2_bold,
tsnr,21.612935066223145,sub-06_ses-1_task-similarity_run-1_bold,
tsnr,28.671688079833984,sub-06_ses-1_task-similarity_run-2_bold,
tsnr,31.35443687438965,sub-06_ses-2_task-encoding_run-1_bold,
tsnr,33.53086853027344,sub-06_ses-2_task-encoding_run-2_bold,
tsnr,30.333106994628903,sub-06_ses-2_task-encoding_run-3_bold,
tsnr,27.843324661254883,sub-06_ses-2_task-encoding_run-4_bold,
tsnr,33.02432632446289,sub-06_ses-2_task-encoding_run-5_bold,
tsnr,31.305753707885746,sub-06_ses-2_task-encoding_run-6_bold,
tsnr,31.80952739715576,sub-06_ses-2_task-encoding_run-7_bold,
tsnr,29.735389709472656,sub-06_ses-2_task-encoding_run-8_bold,
tsnr,32.697120666503906,sub-06_ses-2_task-rest_run-1_bold,
tsnr,32.566585540771484,sub-06_ses-2_task-similarity_run-1_bold,
tsnr,26.329283714294437,sub-06_ses-2_task-similarity_run-2_bold,
tsnr,39.29705238342285,sub-08_ses-1_task-encoding_run-1_bold,
tsnr,39.26533889770508,sub-08_ses-1_task-encoding_run-2_bold,
tsnr,38.949384689331055,sub-08_ses-1_task-encoding_run-3_bold,
tsnr,36.71577835083008,sub-08_ses-1_task-encoding_run-4_bold,
tsnr,36.91362380981445,sub-08_ses-1_task-encoding_run-5_bold,
tsnr,39.77339553833008,sub-08_ses-1_task-encoding_run-6_bold,
tsnr,39.18184852600098,sub-08_ses-1_task-encoding_run-7_bold,
tsnr,39.23477554321289,sub-08_ses-1_task-encoding_run-8_bold,
tsnr,37.43686485290527,sub-08_ses-1_task-rest_run-1_bold,
tsnr,38.50423812866211,sub-08_ses-1_task-rest_run-2_bold,
tsnr,35.68852233886719,sub-08_ses-1_task-similarity_run-1_bold,
tsnr,31.49657249450684,sub-08_ses-1_task-similarity_run-2_bold,
tsnr,37.81966018676758,sub-08_ses-2_task-encoding_run-1_bold,
tsnr,38.52439498901367,sub-08_ses-2_task-encoding_run-2_bold,
tsnr,37.258222579956055,sub-08_ses-2_task-encoding_run-3_bold,
tsnr,36.73686218261719,sub-08_ses-2_task-encoding_run-4_bold,
tsnr,36.75738906860352,sub-08_ses-2_task-encoding_run-5_bold,
tsnr,38.37053680419922,sub-08_ses-2_task-encoding_run-6_bold,
tsnr,36.61092758178711,sub-08_ses-2_task-encoding_run-7_bold,
tsnr,33.289459228515625,sub-08_ses-2_task-encoding_run-8_bold,
tsnr,37.75369071960449,sub-08_ses-2_task-rest_run-1_bold,
tsnr,33.18755340576172,sub-08_ses-2_task-similarity_run-1_bold,
tsnr,31.10146141052246,sub-08_ses-2_task-similarity_run-2_bold,
tsnr,40.52021789550781,sub-09_ses-1_task-encoding_run-1_bold,
tsnr,42.1058235168457,sub-09_ses-1_task-encoding_run-2_bold,
tsnr,41.41469955444336,sub-09_ses-1_task-encoding_run-3_bold,
tsnr,40.91015625,sub-09_ses-1_task-encoding_run-4_bold,
tsnr,42.08414077758789,sub-09_ses-1_task-encoding_run-5_bold,
tsnr,41.51877212524414,sub-09_ses-1_task-encoding_run-6_bold,
tsnr,41.721435546875,sub-09_ses-1_task-encoding_run-7_bold,
tsnr,41.74805450439453,sub-09_ses-1_task-encoding_run-8_bold,
tsnr,39.30566787719727,sub-09_ses-1_task-rest_run-1_bold,
tsnr,41.94246864318848,sub-09_ses-1_task-rest_run-2_bold,
tsnr,38.93274688720703,sub-09_ses-1_task-similarity_run-1_bold,
tsnr,41.042043685913086,sub-09_ses-1_task-similarity_run-2_bold,
tsnr,40.29966354370117,sub-09_ses-2_task-encoding_run-1_bold,
tsnr,40.19686698913574,sub-09_ses-2_task-encoding_run-2_bold,
tsnr,41.261497497558594,sub-09_ses-2_task-encoding_run-3_bold,
tsnr,39.90975570678711,sub-09_ses-2_task-encoding_run-4_bold,
tsnr,39.83064651489258,sub-09_ses-2_task-encoding_run-5_bold,
tsnr,41.54565238952637,sub-09_ses-2_task-encoding_run-6_bold,
tsnr,42.2168197631836,sub-09_ses-2_task-encoding_run-7_bold,
tsnr,42.24767303466797,sub-09_ses-2_task-encoding_run-8_bold,
tsnr,41.67633438110352,sub-09_ses-2_task-rest_run-1_bold,
tsnr,38.21651268005371,sub-09_ses-2_task-similarity_run-1_bold,
tsnr,35.65391540527344,sub-09_ses-2_task-similarity_run-2_bold,
tsnr,37.03200149536133,sub-10_ses-1_task-encoding_run-1_bold,
tsnr,38.01446533203125,sub-10_ses-1_task-encoding_run-2_bold,
tsnr,37.47675323486328,sub-10_ses-1_task-encoding_run-3_bold,
tsnr,38.4273738861084,sub-10_ses-1_task-encoding_run-4_bold,
tsnr,39.321136474609375,sub-10_ses-1_task-encoding_run-5_bold,
tsnr,38.69118118286133,sub-10_ses-1_task-encoding_run-6_bold,
tsnr,39.74882698059082,sub-10_ses-1_task-encoding_run-7_bold,
tsnr,38.37424087524414,sub-10_ses-1_task-encoding_run-8_bold,
tsnr,37.73383712768555,sub-10_ses-1_task-rest_run-1_bold,
tsnr,38.94590759277344,sub-10_ses-1_task-rest_run-2_bold,
tsnr,35.34634017944336,sub-10_ses-1_task-similarity_run-1_bold,
tsnr,35.77009201049805,sub-10_ses-1_task-similarity_run-2_bold,
tsnr,36.94381332397461,sub-10_ses-2_task-encoding_run-1_bold,
tsnr,37.49114608764648,sub-10_ses-2_task-encoding_run-2_bold,
tsnr,38.332618713378906,sub-10_ses-2_task-encoding_run-3_bold,
tsnr,39.28050231933594,sub-10_ses-2_task-encoding_run-4_bold,
tsnr,38.0405216217041,sub-10_ses-2_task-encoding_run-5_bold,
tsnr,37.47165298461914,sub-10_ses-2_task-encoding_run-6_bold,
tsnr,37.76206207275391,sub-10_ses-2_task-encoding_run-7_bold,
tsnr,38.89886474609375,sub-10_ses-2_task-encoding_run-8_bold,
tsnr,38.08821868896485,sub-10_ses-2_task-rest_run-1_bold,
tsnr,35.02497863769531,sub-10_ses-2_task-similarity_run-1_bold,
tsnr,35.561397552490234,sub-10_ses-2_task-similarity_run-2_bold,
tsnr,36.9353084564209,sub-11_ses-1_task-encoding_run-1_bold,
tsnr,35.65980911254883,sub-11_ses-1_task-encoding_run-2_bold,
tsnr,34.18412780761719,sub-11_ses-1_task-encoding_run-3_bold,
tsnr,37.52218818664551,sub-11_ses-1_task-encoding_run-4_bold,
tsnr,38.52473831176758,sub-11_ses-1_task-encoding_run-5_bold,
tsnr,38.01655960083008,sub-11_ses-1_task-encoding_run-6_bold,
tsnr,36.94422149658203,sub-11_ses-1_task-encoding_run-7_bold,
tsnr,38.21651077270508,sub-11_ses-1_task-encoding_run-8_bold,
tsnr,33.89338684082031,sub-11_ses-1_task-rest_run-1_bold,
tsnr,38.27365112304688,sub-11_ses-1_task-rest_run-2_bold,
tsnr,31.659936904907227,sub-11_ses-1_task-similarity_run-1_bold,
tsnr,30.59130859375,sub-11_ses-1_task-similarity_run-2_bold,
tsnr,34.618980407714844,sub-11_ses-2_task-encoding_run-1_bold,
tsnr,34.400325775146484,sub-11_ses-2_task-encoding_run-2_bold,
tsnr,33.46170425415039,sub-11_ses-2_task-encoding_run-3_bold,
tsnr,33.10410499572754,sub-11_ses-2_task-encoding_run-4_bold,
tsnr,33.0595703125,sub-11_ses-2_task-encoding_run-5_bold,
tsnr,32.689910888671875,sub-11_ses-2_task-encoding_run-6_bold,
tsnr,33.2105712890625,sub-11_ses-2_task-encoding_run-7_bold,
tsnr,33.01093292236328,sub-11_ses-2_task-encoding_run-8_bold,
tsnr,30.91105079650879,sub-11_ses-2_task-rest_run-1_bold,
tsnr,31.3222713470459,sub-11_ses-2_task-similarity_run-1_bold,
tsnr,33.47096633911133,sub-11_ses-2_task-similarity_run-2_bold,
tsnr,39.75196266174317,sub-13_ses-1_task-encoding_run-1_bold,
tsnr,40.92979621887207,sub-13_ses-1_task-encoding_run-2_bold,
tsnr,40.56101608276367,sub-13_ses-1_task-encoding_run-3_bold,
tsnr,40.741580963134766,sub-13_ses-1_task-encoding_run-4_bold,
tsnr,40.56392288208008,sub-13_ses-1_task-encoding_run-5_bold,
tsnr,41.75829887390137,sub-13_ses-1_task-encoding_run-6_bold,
tsnr,39.91393661499024,sub-13_ses-1_task-encoding_run-7_bold,
tsnr,41.4349365234375,sub-13_ses-1_task-encoding_run-8_bold,
tsnr,38.75215148925781,sub-13_ses-1_task-rest_run-1_bold,
tsnr,40.43657112121582,sub-13_ses-1_task-rest_run-2_bold,
tsnr,37.20391082763672,sub-13_ses-1_task-similarity_run-1_bold,
tsnr,38.4577751159668,sub-13_ses-1_task-similarity_run-2_bold,
tsnr,39.64380645751953,sub-13_ses-2_task-encoding_run-1_bold,
tsnr,40.917593002319336,sub-13_ses-2_task-encoding_run-2_bold,
tsnr,41.44967269897461,sub-13_ses-2_task-encoding_run-3_bold,
tsnr,41.23601722717285,sub-13_ses-2_task-encoding_run-4_bold,
tsnr,41.29880142211914,sub-13_ses-2_task-encoding_run-5_bold,
tsnr,40.60932540893555,sub-13_ses-2_task-encoding_run-6_bold,
tsnr,40.84872055053711,sub-13_ses-2_task-encoding_run-7_bold,
tsnr,41.06805419921875,sub-13_ses-2_task-encoding_run-8_bold,
tsnr,40.38270568847656,sub-13_ses-2_task-rest_run-1_bold,
tsnr,31.642406463623047,sub-13_ses-2_task-similarity_run-1_bold,
tsnr,38.84122848510742,sub-13_ses-2_task-similarity_run-2_bold,
tsnr,37.777828216552734,sub-14_ses-1_task-encoding_run-1_bold,
tsnr,38.79917526245117,sub-14_ses-1_task-encoding_run-2_bold,
tsnr,39.09029579162598,sub-14_ses-1_task-encoding_run-3_bold,
tsnr,39.96996688842773,sub-14_ses-1_task-encoding_run-4_bold,
tsnr,39.74116134643555,sub-14_ses-1_task-encoding_run-5_bold,
tsnr,39.46171951293945,sub-14_ses-1_task-encoding_run-6_bold,
tsnr,40.13608932495117,sub-14_ses-1_task-encoding_run-7_bold,
tsnr,39.77073669433594,sub-14_ses-1_task-encoding_run-8_bold,
tsnr,36.54631423950195,sub-14_ses-1_task-rest_run-1_bold,
tsnr,38.76888275146485,sub-14_ses-1_task-rest_run-2_bold,
tsnr,36.574005126953125,sub-14_ses-1_task-similarity_run-1_bold,
tsnr,37.029903411865234,sub-14_ses-1_task-similarity_run-2_bold,
tsnr,37.21676254272461,sub-14_ses-2_task-encoding_run-1_bold,
tsnr,37.48667907714844,sub-14_ses-2_task-encoding_run-2_bold,
tsnr,36.33246040344238,sub-14_ses-2_task-encoding_run-3_bold,
tsnr,38.53696060180664,sub-14_ses-2_task-encoding_run-4_bold,
tsnr,40.01907730102539,sub-14_ses-2_task-encoding_run-5_bold,
tsnr,38.42472839355469,sub-14_ses-2_task-encoding_run-6_bold,
tsnr,38.98599243164063,sub-14_ses-2_task-encoding_run-7_bold,
tsnr,38.51064682006836,sub-14_ses-2_task-encoding_run-8_bold,
tsnr,37.598562240600586,sub-14_ses-2_task-rest_run-1_bold,
tsnr,37.61666870117188,sub-14_ses-2_task-similarity_run-1_bold,
tsnr,37.610496520996094,sub-14_ses-2_task-similarity_run-2_bold,
tsnr,41.26768112182617,sub-16_ses-1_task-encoding_run-1_bold,
tsnr,38.454097747802734,sub-16_ses-1_task-encoding_run-2_bold,
tsnr,39.15990447998047,sub-16_ses-1_task-encoding_run-3_bold,
tsnr,41.01907730102539,sub-16_ses-1_task-encoding_run-4_bold,
tsnr,38.09489059448242,sub-16_ses-1_task-encoding_run-5_bold,
tsnr,39.72201156616211,sub-16_ses-1_task-encoding_run-6_bold,
tsnr,41.30519104003906,sub-16_ses-1_task-encoding_run-7_bold,
tsnr,40.93413734436035,sub-16_ses-1_task-encoding_run-8_bold,
tsnr,37.43696212768555,sub-16_ses-1_task-rest_run-1_bold,
tsnr,41.094818115234375,sub-16_ses-1_task-rest_run-2_bold,
tsnr,37.75875473022461,sub-16_ses-1_task-similarity_run-1_bold,
tsnr,39.53436279296875,sub-16_ses-1_task-similarity_run-2_bold,
tsnr,39.02315902709961,sub-16_ses-2_task-encoding_run-1_bold,
tsnr,38.79402160644531,sub-16_ses-2_task-encoding_run-2_bold,
tsnr,39.76023674011231,sub-16_ses-2_task-encoding_run-3_bold,
tsnr,37.00838088989258,sub-16_ses-2_task-encoding_run-4_bold,
tsnr,39.04738998413086,sub-16_ses-2_task-encoding_run-5_bold,
tsnr,33.490875244140625,sub-16_ses-2_task-encoding_run-6_bold,
tsnr,40.06393432617188,sub-16_ses-2_task-encoding_run-7_bold,
tsnr,39.90862846374512,sub-16_ses-2_task-encoding_run-8_bold,
tsnr,37.682106018066406,sub-16_ses-2_task-rest_run-1_bold,
tsnr,32.77803611755371,sub-16_ses-2_task-similarity_run-1_bold,
tsnr,32.24012756347656,sub-16_ses-2_task-similarity_run-2_bold,
tsnr,30.751049995422363,sub-17_ses-1_task-encoding_run-1_bold,
tsnr,31.850431442260746,sub-17_ses-1_task-encoding_run-2_bold,
tsnr,32.06513595581055,sub-17_ses-1_task-encoding_run-3_bold,
tsnr,31.41434669494629,sub-17_ses-1_task-encoding_run-4_bold,
tsnr,32.039058685302734,sub-17_ses-1_task-encoding_run-5_bold,
tsnr,32.64739227294922,sub-17_ses-1_task-encoding_run-6_bold,
tsnr,31.833187103271484,sub-17_ses-1_task-encoding_run-7_bold,
tsnr,33.457008361816406,sub-17_ses-1_task-encoding_run-8_bold,
tsnr,28.61874008178711,sub-17_ses-1_task-rest_run-1_bold,
tsnr,33.1530818939209,sub-17_ses-1_task-rest_run-2_bold,
tsnr,31.21326065063477,sub-17_ses-1_task-similarity_run-1_bold,
tsnr,31.097098350524902,sub-17_ses-1_task-similarity_run-2_bold,
tsnr,33.04808235168457,sub-17_ses-2_task-encoding_run-1_bold,
tsnr,35.721458435058594,sub-17_ses-2_task-encoding_run-2_bold,
tsnr,34.6837043762207,sub-17_ses-2_task-encoding_run-3_bold,
tsnr,35.103057861328125,sub-17_ses-2_task-encoding_run-4_bold,
tsnr,34.23298645019531,sub-17_ses-2_task-encoding_run-5_bold,
tsnr,35.10840606689453,sub-17_ses-2_task-encoding_run-6_bold,
tsnr,37.40597534179688,sub-17_ses-2_task-encoding_run-7_bold,
tsnr,34.88239288330078,sub-17_ses-2_task-encoding_run-8_bold,
tsnr,34.73649597167969,sub-17_ses-2_task-rest_run-1_bold,
tsnr,29.90516471862793,sub-17_ses-2_task-similarity_run-1_bold,
tsnr,33.489620208740234,sub-17_ses-2_task-similarity_run-2_bold,
tsnr,40.91346740722656,sub-18_ses-1_task-encoding_run-1_bold,
tsnr,38.51182746887207,sub-18_ses-1_task-encoding_run-2_bold,
tsnr,41.41831207275391,sub-18_ses-1_task-encoding_run-3_bold,
tsnr,41.13887786865234,sub-18_ses-1_task-encoding_run-4_bold,
tsnr,41.661502838134766,sub-18_ses-1_task-encoding_run-5_bold,
tsnr,41.54818534851074,sub-18_ses-1_task-encoding_run-6_bold,
tsnr,42.3454704284668,sub-18_ses-1_task-encoding_run-7_bold,
tsnr,42.54827499389648,sub-18_ses-1_task-encoding_run-8_bold,
tsnr,35.654563903808594,sub-18_ses-1_task-rest_run-1_bold,
tsnr,41.80385398864746,sub-18_ses-1_task-rest_run-2_bold,
tsnr,31.296558380126957,sub-18_ses-1_task-similarity_run-1_bold,
tsnr,34.84574890136719,sub-18_ses-1_task-similarity_run-2_bold,
tsnr,41.30482864379883,sub-18_ses-2_task-encoding_run-1_bold,
tsnr,42.24477767944336,sub-18_ses-2_task-encoding_run-2_bold,
tsnr,42.61479187011719,sub-18_ses-2_task-encoding_run-3_bold,
tsnr,42.73476791381836,sub-18_ses-2_task-encoding_run-4_bold,
tsnr,42.01335144042969,sub-18_ses-2_task-encoding_run-5_bold,
tsnr,41.43899154663086,sub-18_ses-2_task-encoding_run-6_bold,
tsnr,43.88204193115234,sub-18_ses-2_task-encoding_run-7_bold,
tsnr,43.67975616455078,sub-18_ses-2_task-encoding_run-8_bold,
tsnr,41.748565673828125,sub-18_ses-2_task-rest_run-1_bold,
tsnr,34.33334732055664,sub-18_ses-2_task-similarity_run-1_bold,
tsnr,39.5971565246582,sub-18_ses-2_task-similarity_run-2_bold,
tsnr,35.665231704711914,sub-19_ses-1_task-encoding_run-1_bold,
tsnr,36.29952239990234,sub-19_ses-1_task-encoding_run-2_bold,
tsnr,35.37325859069824,sub-19_ses-1_task-encoding_run-3_bold,
tsnr,37.35863876342773,sub-19_ses-1_task-encoding_run-4_bold,
tsnr,34.869998931884766,sub-19_ses-1_task-encoding_run-5_bold,
tsnr,34.171382904052734,sub-19_ses-1_task-encoding_run-6_bold,
tsnr,34.490386962890625,sub-19_ses-1_task-encoding_run-7_bold,
tsnr,35.726585388183594,sub-19_ses-1_task-encoding_run-8_bold,
tsnr,34.93367004394531,sub-19_ses-1_task-rest_run-1_bold,
tsnr,36.00075721740723,sub-19_ses-1_task-rest_run-2_bold,
tsnr,33.733001708984375,sub-19_ses-1_task-similarity_run-1_bold,
tsnr,35.17496490478516,sub-19_ses-1_task-similarity_run-2_bold,
tsnr,34.37449264526367,sub-19_ses-2_task-encoding_run-1_bold,
tsnr,35.67889404296875,sub-19_ses-2_task-encoding_run-2_bold,
tsnr,34.140066146850586,sub-19_ses-2_task-encoding_run-3_bold,
tsnr,35.955116271972656,sub-19_ses-2_task-encoding_run-4_bold,
tsnr,35.00559997558594,sub-19_ses-2_task-encoding_run-5_bold,
tsnr,35.34275245666504,sub-19_ses-2_task-encoding_run-6_bold,
tsnr,34.00257873535156,sub-19_ses-2_task-encoding_run-7_bold,
tsnr,35.26985549926758,sub-19_ses-2_task-encoding_run-8_bold,
tsnr,33.27570724487305,sub-19_ses-2_task-rest_run-1_bold,
tsnr,35.230987548828125,sub-19_ses-2_task-similarity_run-1_bold,
tsnr,33.55696105957031,sub-19_ses-2_task-similarity_run-2_bold,
tsnr,39.93071937561035,sub-20_ses-1_task-encoding_run-1_bold,
tsnr,40.27455520629883,sub-20_ses-1_task-encoding_run-2_bold,
tsnr,40.40776824951172,sub-20_ses-1_task-encoding_run-3_bold,
tsnr,37.225807189941406,sub-20_ses-1_task-encoding_run-4_bold,
tsnr,38.12569808959961,sub-20_ses-1_task-encoding_run-5_bold,
tsnr,38.15105438232422,sub-20_ses-1_task-encoding_run-6_bold,
tsnr,41.21259307861328,sub-20_ses-1_task-encoding_run-7_bold,
tsnr,37.12138175964356,sub-20_ses-1_task-encoding_run-8_bold,
tsnr,36.68082809448242,sub-20_ses-1_task-rest_run-1_bold,
tsnr,40.81071090698242,sub-20_ses-1_task-rest_run-2_bold,
tsnr,35.56705856323242,sub-20_ses-1_task-similarity_run-1_bold,
tsnr,38.82339096069336,sub-20_ses-1_task-similarity_run-2_bold,
tsnr,32.4630012512207,sub-20_ses-2_task-encoding_run-1_bold,
tsnr,35.8306999206543,sub-20_ses-2_task-encoding_run-2_bold,
tsnr,38.49054527282715,sub-20_ses-2_task-encoding_run-3_bold,
tsnr,37.53853988647461,sub-20_ses-2_task-encoding_run-4_bold,
tsnr,39.29607009887695,sub-20_ses-2_task-encoding_run-5_bold,
tsnr,38.81340789794922,sub-20_ses-2_task-encoding_run-6_bold,
tsnr,38.76588249206543,sub-20_ses-2_task-encoding_run-7_bold,
tsnr,37.51105499267578,sub-20_ses-2_task-encoding_run-8_bold,
tsnr,39.70233917236328,sub-20_ses-2_task-rest_run-1_bold,
tsnr,36.24544715881348,sub-20_ses-2_task-similarity_run-1_bold,
tsnr,39.83903884887695,sub-20_ses-2_task-similarity_run-2_bold,
tsnr,37.25959777832031,sub-25_ses-1_task-encoding_run-1_bold,
tsnr,29.822547912597656,sub-25_ses-1_task-encoding_run-2_bold,
tsnr,36.31550598144531,sub-25_ses-1_task-encoding_run-3_bold,
tsnr,34.92091751098633,sub-25_ses-1_task-encoding_run-4_bold,
tsnr,36.99926567077637,sub-25_ses-1_task-encoding_run-5_bold,
tsnr,35.901023864746094,sub-25_ses-1_task-encoding_run-6_bold,
tsnr,36.828369140625,sub-25_ses-1_task-encoding_run-7_bold,
tsnr,37.75993347167969,sub-25_ses-1_task-encoding_run-8_bold,
tsnr,35.477657318115234,sub-25_ses-1_task-rest_run-1_bold,
tsnr,34.71817779541016,sub-25_ses-1_task-rest_run-2_bold,
tsnr,31.466833114624023,sub-25_ses-1_task-similarity_run-1_bold,
tsnr,34.86502456665039,sub-25_ses-1_task-similarity_run-2_bold,
tsnr,36.93735885620117,sub-25_ses-2_task-encoding_run-1_bold,
tsnr,36.36999702453613,sub-25_ses-2_task-encoding_run-2_bold,
tsnr,36.3111686706543,sub-25_ses-2_task-encoding_run-3_bold,
tsnr,37.60821342468262,sub-25_ses-2_task-encoding_run-4_bold,
tsnr,36.79121017456055,sub-25_ses-2_task-encoding_run-5_bold,
tsnr,37.415170669555664,sub-25_ses-2_task-encoding_run-6_bold,
tsnr,38.56077575683594,sub-25_ses-2_task-encoding_run-7_bold,
tsnr,38.30094909667969,sub-25_ses-2_task-encoding_run-8_bold,
tsnr,36.14168930053711,sub-25_ses-2_task-rest_run-1_bold,
tsnr,30.84762668609619,sub-25_ses-2_task-similarity_run-1_bold,
tsnr,34.67313575744629,sub-25_ses-2_task-similarity_run-2_bold,
tsnr,39.72126770019531,sub-26_ses-1_task-encoding_run-1_bold,
tsnr,41.27898406982422,sub-26_ses-1_task-encoding_run-2_bold,
tsnr,40.24125671386719,sub-26_ses-1_task-encoding_run-3_bold,
tsnr,39.84128189086914,sub-26_ses-1_task-encoding_run-4_bold,
tsnr,35.045928955078125,sub-26_ses-1_task-encoding_run-5_bold,
tsnr,39.63229751586914,sub-26_ses-1_task-encoding_run-6_bold,
tsnr,42.37811279296875,sub-26_ses-1_task-encoding_run-7_bold,
tsnr,42.38868522644043,sub-26_ses-1_task-encoding_run-8_bold,
tsnr,36.70468330383301,sub-26_ses-1_task-rest_run-1_bold,
tsnr,40.80179786682129,sub-26_ses-1_task-rest_run-2_bold,
tsnr,38.57659149169922,sub-26_ses-1_task-similarity_run-1_bold,
tsnr,40.84808921813965,sub-26_ses-1_task-similarity_run-2_bold,
tsnr,41.07920265197754,sub-26_ses-2_task-encoding_run-1_bold,
tsnr,41.44976234436035,sub-26_ses-2_task-encoding_run-2_bold,
tsnr,41.70587348937988,sub-26_ses-2_task-encoding_run-3_bold,
tsnr,42.006364822387695,sub-26_ses-2_task-encoding_run-4_bold,
tsnr,41.133487701416016,sub-26_ses-2_task-encoding_run-5_bold,
tsnr,41.7177734375,sub-26_ses-2_task-encoding_run-6_bold,
tsnr,42.38818550109863,sub-26_ses-2_task-encoding_run-7_bold,
tsnr,42.198036193847656,sub-26_ses-2_task-encoding_run-8_bold,
tsnr,41.82878875732422,sub-26_ses-2_task-rest_run-1_bold,
tsnr,39.51484107971192,sub-26_ses-2_task-similarity_run-1_bold,
tsnr,39.041542053222656,sub-26_ses-2_task-similarity_run-2_bold,
tsnr,35.71956253051758,sub-27_ses-1_task-encoding_run-1_bold,
tsnr,35.193973541259766,sub-27_ses-1_task-encoding_run-2_bold,
tsnr,33.10405349731445,sub-27_ses-1_task-encoding_run-3_bold,
tsnr,35.648773193359375,sub-27_ses-1_task-encoding_run-4_bold,
tsnr,33.8315544128418,sub-27_ses-1_task-encoding_run-5_bold,
tsnr,33.21959686279297,sub-27_ses-1_task-encoding_run-6_bold,
tsnr,33.418649673461914,sub-27_ses-1_task-encoding_run-7_bold,
tsnr,33.44535446166992,sub-27_ses-1_task-encoding_run-8_bold,
tsnr,32.076568603515625,sub-27_ses-1_task-rest_run-1_bold,
tsnr,32.204307556152344,sub-27_ses-1_task-rest_run-2_bold,
tsnr,31.81570625305176,sub-27_ses-1_task-similarity_run-1_bold,
tsnr,28.42521095275879,sub-27_ses-1_task-similarity_run-2_bold,
tsnr,33.125877380371094,sub-27_ses-2_task-encoding_run-1_bold,
tsnr,31.10456275939941,sub-27_ses-2_task-encoding_run-2_bold,
tsnr,31.29610824584961,sub-27_ses-2_task-encoding_run-3_bold,
tsnr,33.817983627319336,sub-27_ses-2_task-encoding_run-4_bold,
tsnr,31.9953670501709,sub-27_ses-2_task-encoding_run-5_bold,
tsnr,33.24423789978027,sub-27_ses-2_task-encoding_run-6_bold,
tsnr,34.07351303100586,sub-27_ses-2_task-encoding_run-7_bold,
tsnr,34.8393440246582,sub-27_ses-2_task-encoding_run-8_bold,
tsnr,32.4758358001709,sub-27_ses-2_task-rest_run-1_bold,
tsnr,27.89543342590332,sub-27_ses-2_task-similarity_run-1_bold,
tsnr,30.20796775817871,sub-27_ses-2_task-similarity_run-2_bold,
tsnr,38.27829360961914,sub-28_ses-1_task-encoding_run-1_bold,
tsnr,37.49833679199219,sub-28_ses-1_task-encoding_run-2_bold,
tsnr,35.11393165588379,sub-28_ses-1_task-encoding_run-3_bold,
tsnr,33.43210983276367,sub-28_ses-1_task-encoding_run-4_bold,
tsnr,38.76719665527344,sub-28_ses-1_task-encoding_run-5_bold,
tsnr,38.32228469848633,sub-28_ses-1_task-encoding_run-6_bold,
tsnr,39.531044006347656,sub-28_ses-1_task-encoding_run-7_bold,
tsnr,38.81617164611816,sub-28_ses-1_task-encoding_run-8_bold,
tsnr,34.16799545288086,sub-28_ses-1_task-rest_run-1_bold,
tsnr,39.05981063842773,sub-28_ses-1_task-rest_run-2_bold,
tsnr,34.26817512512207,sub-28_ses-1_task-similarity_run-1_bold,
tsnr,37.09762191772461,sub-28_ses-1_task-similarity_run-2_bold,
tsnr,38.643829345703125,sub-28_ses-2_task-encoding_run-1_bold,
tsnr,39.89150428771973,sub-28_ses-2_task-encoding_run-2_bold,
tsnr,39.57968330383301,sub-28_ses-2_task-encoding_run-3_bold,
tsnr,39.41828727722168,sub-28_ses-2_task-encoding_run-4_bold,
tsnr,38.280120849609375,sub-28_ses-2_task-encoding_run-5_bold,
tsnr,39.83981323242188,sub-28_ses-2_task-encoding_run-6_bold,
tsnr,39.113887786865234,sub-28_ses-2_task-encoding_run-7_bold,
tsnr,40.81501007080078,sub-28_ses-2_task-encoding_run-8_bold,
tsnr,38.97904586791992,sub-28_ses-2_task-rest_run-1_bold,
tsnr,37.3522834777832,sub-28_ses-2_task-similarity_run-1_bold,
tsnr,38.85122680664063,sub-28_ses-2_task-similarity_run-2_bold,
</pre>
<div class="chart-wrapper" id="chart-group13"></div>
<pre class="csvdata" id="data-csv13" style="display: none">
iqm,value,label,units
aor,0.0007584516129032,sub-01_ses-1_task-encoding_run-1_bold,
aor,0.0015666451612903,sub-01_ses-1_task-encoding_run-2_bold,
aor,0.0007337179487179,sub-01_ses-1_task-encoding_run-3_bold,
aor,0.0007975483870967,sub-01_ses-1_task-encoding_run-4_bold,
aor,0.0004373717948717,sub-01_ses-1_task-encoding_run-5_bold,
aor,0.0005840384615384,sub-01_ses-1_task-encoding_run-6_bold,
aor,0.0007469871794871,sub-01_ses-1_task-encoding_run-7_bold,
aor,0.0005455483870967,sub-01_ses-1_task-encoding_run-8_bold,
aor,0.0004747457627118,sub-01_ses-1_task-rest_run-1_bold,
aor,0.0003162028985507,sub-01_ses-1_task-similarity_run-1_bold,
aor,0.0016320579710144,sub-01_ses-1_task-similarity_run-2_bold,
aor,0.0008200641025641,sub-01_ses-2_task-encoding_run-1_bold,
aor,0.0010339102564102,sub-01_ses-2_task-encoding_run-2_bold,
aor,0.0010004487179487,sub-01_ses-2_task-encoding_run-3_bold,
aor,0.0013598076923076,sub-01_ses-2_task-encoding_run-4_bold,
aor,0.0084024358974358,sub-01_ses-2_task-encoding_run-5_bold,
aor,0.000936282051282,sub-01_ses-2_task-encoding_run-6_bold,
aor,0.0006904516129032,sub-01_ses-2_task-encoding_run-7_bold,
aor,0.0005063870967741,sub-01_ses-2_task-encoding_run-8_bold,
aor,0.000656836158192,sub-01_ses-2_task-rest_run-1_bold,
aor,0.0004458670520231,sub-01_ses-2_task-similarity_run-1_bold,
aor,0.0007640751445086,sub-01_ses-2_task-similarity_run-2_bold,
aor,0.0010558333333333,sub-02_ses-1_task-encoding_run-1_bold,
aor,0.0004227096774193,sub-02_ses-1_task-encoding_run-2_bold,
aor,0.0005851612903225,sub-02_ses-1_task-encoding_run-3_bold,
aor,0.0005532903225806,sub-02_ses-1_task-encoding_run-4_bold,
aor,0.0006791558441558,sub-02_ses-1_task-encoding_run-5_bold,
aor,0.0007569677419354,sub-02_ses-1_task-encoding_run-6_bold,
aor,0.000596193548387,sub-02_ses-1_task-encoding_run-7_bold,
aor,0.000596129032258,sub-02_ses-1_task-encoding_run-8_bold,
aor,0.001187808988764,sub-02_ses-1_task-rest_run-1_bold,
aor,0.0002831638418079,sub-02_ses-1_task-rest_run-2_bold,
aor,0.0003594797687861,sub-02_ses-1_task-similarity_run-1_bold,
aor,0.0003407514450867,sub-02_ses-1_task-similarity_run-2_bold,
aor,0.0005027096774193,sub-02_ses-2_task-encoding_run-1_bold,
aor,0.0006351612903225,sub-02_ses-2_task-encoding_run-2_bold,
aor,0.0005917948717948,sub-02_ses-2_task-encoding_run-3_bold,
aor,0.0008243589743589,sub-02_ses-2_task-encoding_run-4_bold,
aor,0.0006979354838709,sub-02_ses-2_task-encoding_run-5_bold,
aor,0.0006918589743589,sub-02_ses-2_task-encoding_run-6_bold,
aor,0.0010439735099337,sub-02_ses-2_task-encoding_run-7_bold,
aor,0.0007426282051282,sub-02_ses-2_task-encoding_run-8_bold,
aor,0.0007146835443037,sub-02_ses-2_task-rest_run-1_bold,
aor,0.000249739884393,sub-02_ses-2_task-similarity_run-1_bold,
aor,0.0002442898550724,sub-02_ses-2_task-similarity_run-2_bold,
aor,0.0008523870967741,sub-03_ses-1_task-encoding_run-1_bold,
aor,0.0005994838709677,sub-03_ses-1_task-encoding_run-2_bold,
aor,0.0005247058823529,sub-03_ses-1_task-encoding_run-3_bold,
aor,0.0005196103896103,sub-03_ses-1_task-encoding_run-4_bold,
aor,0.0005380519480519,sub-03_ses-1_task-encoding_run-5_bold,
aor,0.0022618064516129,sub-03_ses-1_task-encoding_run-6_bold,
aor,0.0006821794871794,sub-03_ses-1_task-encoding_run-7_bold,
aor,0.000580974025974,sub-03_ses-1_task-encoding_run-8_bold,
aor,0.0004715254237288,sub-03_ses-1_task-rest_run-1_bold,
aor,0.0007014124293785,sub-03_ses-1_task-rest_run-2_bold,
aor,0.0004110115606936,sub-03_ses-1_task-similarity_run-1_bold,
aor,0.0003996811594202,sub-03_ses-1_task-similarity_run-2_bold,
aor,0.0004969032258064,sub-03_ses-2_task-encoding_run-1_bold,
aor,0.0006257419354838,sub-03_ses-2_task-encoding_run-2_bold,
aor,0.000608141025641,sub-03_ses-2_task-encoding_run-3_bold,
aor,0.0006558064516129,sub-03_ses-2_task-encoding_run-4_bold,
aor,0.0008189677419354,sub-03_ses-2_task-encoding_run-5_bold,
aor,0.0008127096774193,sub-03_ses-2_task-encoding_run-6_bold,
aor,0.0006408387096774,sub-03_ses-2_task-encoding_run-7_bold,
aor,0.0008464516129032,sub-03_ses-2_task-encoding_run-8_bold,
aor,0.0013948587570621,sub-03_ses-2_task-rest_run-1_bold,
aor,0.0007891014492753,sub-03_ses-2_task-similarity_run-1_bold,
aor,0.0004369075144508,sub-03_ses-2_task-similarity_run-2_bold,
aor,0.0006284516129032,sub-04_ses-1_task-encoding_run-1_bold,
aor,0.0005042580645161,sub-04_ses-1_task-encoding_run-2_bold,
aor,0.0004753246753246,sub-04_ses-1_task-encoding_run-3_bold,
aor,0.0006163870967741,sub-04_ses-1_task-encoding_run-4_bold,
aor,0.0004390322580645,sub-04_ses-1_task-encoding_run-5_bold,
aor,0.000474064516129,sub-04_ses-1_task-encoding_run-6_bold,
aor,0.0005290322580645,sub-04_ses-1_task-encoding_run-7_bold,
aor,0.0004830769230769,sub-04_ses-1_task-encoding_run-8_bold,
aor,0.0017052808988764,sub-04_ses-1_task-rest_run-1_bold,
aor,0.0007545762711864,sub-04_ses-1_task-rest_run-2_bold,
aor,0.0003629275362318,sub-04_ses-1_task-similarity_run-1_bold,
aor,0.0003935549132947,sub-04_ses-1_task-similarity_run-2_bold,
aor,0.0007664743589743,sub-04_ses-2_task-encoding_run-1_bold,
aor,0.0008167307692307,sub-04_ses-2_task-encoding_run-2_bold,
aor,0.000480064516129,sub-04_ses-2_task-encoding_run-3_bold,
aor,0.0005839999999999,sub-04_ses-2_task-encoding_run-4_bold,
aor,0.0009102580645161,sub-04_ses-2_task-encoding_run-5_bold,
aor,0.0005239354838709,sub-04_ses-2_task-encoding_run-6_bold,
aor,0.0004983870967741,sub-04_ses-2_task-encoding_run-7_bold,
aor,0.000470129032258,sub-04_ses-2_task-encoding_run-8_bold,
aor,0.0004531073446327,sub-04_ses-2_task-rest_run-1_bold,
aor,0.0002711304347826,sub-04_ses-2_task-similarity_run-1_bold,
aor,0.000552965116279,sub-04_ses-2_task-similarity_run-2_bold,
aor,0.0057944871794871,sub-06_ses-1_task-encoding_run-1_bold,
aor,0.0007295483870967,sub-06_ses-1_task-encoding_run-2_bold,
aor,0.0010679487179487,sub-06_ses-1_task-encoding_run-3_bold,
aor,0.0008646451612903,sub-06_ses-1_task-encoding_run-4_bold,
aor,0.0082645512820512,sub-06_ses-1_task-encoding_run-5_bold,
aor,0.0008976623376623,sub-06_ses-1_task-encoding_run-6_bold,
aor,0.0009925806451612,sub-06_ses-1_task-encoding_run-7_bold,
aor,0.0017847741935483,sub-06_ses-1_task-encoding_run-8_bold,
aor,0.0007025988700564,sub-06_ses-1_task-rest_run-1_bold,
aor,0.0075596648044692,sub-06_ses-1_task-rest_run-2_bold,
aor,0.0031171594202898,sub-06_ses-1_task-similarity_run-1_bold,
aor,0.0004212716763005,sub-06_ses-1_task-similarity_run-2_bold,
aor,0.0004005161290322,sub-06_ses-2_task-encoding_run-1_bold,
aor,0.0004932903225806,sub-06_ses-2_task-encoding_run-2_bold,
aor,0.0027723717948717,sub-06_ses-2_task-encoding_run-3_bold,
aor,0.0008993589743589,sub-06_ses-2_task-encoding_run-4_bold,
aor,0.0008868387096774,sub-06_ses-2_task-encoding_run-5_bold,
aor,0.0028355844155844,sub-06_ses-2_task-encoding_run-6_bold,
aor,0.002023782051282,sub-06_ses-2_task-encoding_run-7_bold,
aor,0.0012142948717948,sub-06_ses-2_task-encoding_run-8_bold,
aor,0.0005701123595505,sub-06_ses-2_task-rest_run-1_bold,
aor,0.0004577971014492,sub-06_ses-2_task-similarity_run-1_bold,
aor,0.0003455942028985,sub-06_ses-2_task-similarity_run-2_bold,
aor,0.0005858974358974,sub-08_ses-1_task-encoding_run-1_bold,
aor,0.0005507096774193,sub-08_ses-1_task-encoding_run-2_bold,
aor,0.0005376129032258,sub-08_ses-1_task-encoding_run-3_bold,
aor,0.0011312179487179,sub-08_ses-1_task-encoding_run-4_bold,
aor,0.0006013461538461,sub-08_ses-1_task-encoding_run-5_bold,
aor,0.0007498709677419,sub-08_ses-1_task-encoding_run-6_bold,
aor,0.0006357419354838,sub-08_ses-1_task-encoding_run-7_bold,
aor,0.0006995512820512,sub-08_ses-1_task-encoding_run-8_bold,
aor,0.0004875706214689,sub-08_ses-1_task-rest_run-1_bold,
aor,0.0006347752808988,sub-08_ses-1_task-rest_run-2_bold,
aor,0.0002611849710982,sub-08_ses-1_task-similarity_run-1_bold,
aor,0.0026137283236994,sub-08_ses-1_task-similarity_run-2_bold,
aor,0.0006242307692307,sub-08_ses-2_task-encoding_run-1_bold,
aor,0.0005951282051282,sub-08_ses-2_task-encoding_run-2_bold,
aor,0.0016792948717948,sub-08_ses-2_task-encoding_run-3_bold,
aor,0.0011385897435897,sub-08_ses-2_task-encoding_run-4_bold,
aor,0.0005952258064516,sub-08_ses-2_task-encoding_run-5_bold,
aor,0.0008929032258064,sub-08_ses-2_task-encoding_run-6_bold,
aor,0.0005775641025641,sub-08_ses-2_task-encoding_run-7_bold,
aor,0.0003577564102564,sub-08_ses-2_task-encoding_run-8_bold,
aor,0.0008319662921348,sub-08_ses-2_task-rest_run-1_bold,
aor,0.0003610115606936,sub-08_ses-2_task-similarity_run-1_bold,
aor,0.0075903757225433,sub-08_ses-2_task-similarity_run-2_bold,
aor,0.000598064516129,sub-09_ses-1_task-encoding_run-1_bold,
aor,0.0007774838709677,sub-09_ses-1_task-encoding_run-2_bold,
aor,0.0006189677419354,sub-09_ses-1_task-encoding_run-3_bold,
aor,0.0007483225806451,sub-09_ses-1_task-encoding_run-4_bold,
aor,0.0006697419354838,sub-09_ses-1_task-encoding_run-5_bold,
aor,0.0007019871794871,sub-09_ses-1_task-encoding_run-6_bold,
aor,0.000548129032258,sub-09_ses-1_task-encoding_run-7_bold,
aor,0.0007754487179487,sub-09_ses-1_task-encoding_run-8_bold,
aor,0.0006117415730337,sub-09_ses-1_task-rest_run-1_bold,
aor,0.0005360451977401,sub-09_ses-1_task-rest_run-2_bold,
aor,0.0002420289855072,sub-09_ses-1_task-similarity_run-1_bold,
aor,0.0002570724637681,sub-09_ses-1_task-similarity_run-2_bold,
aor,0.0008047435897435,sub-09_ses-2_task-encoding_run-1_bold,
aor,0.0004885161290322,sub-09_ses-2_task-encoding_run-2_bold,
aor,0.0006051612903225,sub-09_ses-2_task-encoding_run-3_bold,
aor,0.0010707741935483,sub-09_ses-2_task-encoding_run-4_bold,
aor,0.0007594838709677,sub-09_ses-2_task-encoding_run-5_bold,
aor,0.0005606451612903,sub-09_ses-2_task-encoding_run-6_bold,
aor,0.000625909090909,sub-09_ses-2_task-encoding_run-7_bold,
aor,0.000592064516129,sub-09_ses-2_task-encoding_run-8_bold,
aor,0.0004760451977401,sub-09_ses-2_task-rest_run-1_bold,
aor,0.0002288405797101,sub-09_ses-2_task-similarity_run-1_bold,
aor,0.0002778550724637,sub-09_ses-2_task-similarity_run-2_bold,
aor,0.0008815384615384,sub-10_ses-1_task-encoding_run-1_bold,
aor,0.0005497419354838,sub-10_ses-1_task-encoding_run-2_bold,
aor,0.0007585897435897,sub-10_ses-1_task-encoding_run-3_bold,
aor,0.0013278205128205,sub-10_ses-1_task-encoding_run-4_bold,
aor,0.0008941025641025,sub-10_ses-1_task-encoding_run-5_bold,
aor,0.0007464102564102,sub-10_ses-1_task-encoding_run-6_bold,
aor,0.000639423076923,sub-10_ses-1_task-encoding_run-7_bold,
aor,0.0013912337662337,sub-10_ses-1_task-encoding_run-8_bold,
aor,0.0004649438202247,sub-10_ses-1_task-rest_run-1_bold,
aor,0.0009409039548022,sub-10_ses-1_task-rest_run-2_bold,
aor,0.0004060289855072,sub-10_ses-1_task-similarity_run-1_bold,
aor,0.0001479130434782,sub-10_ses-1_task-similarity_run-2_bold,
aor,0.0005382692307692,sub-10_ses-2_task-encoding_run-1_bold,
aor,0.0005747096774193,sub-10_ses-2_task-encoding_run-2_bold,
aor,0.0005290384615384,sub-10_ses-2_task-encoding_run-3_bold,
aor,0.0007464516129032,sub-10_ses-2_task-encoding_run-4_bold,
aor,0.0012641025641025,sub-10_ses-2_task-encoding_run-5_bold,
aor,0.0007761538461538,sub-10_ses-2_task-encoding_run-6_bold,
aor,0.0006247435897435,sub-10_ses-2_task-encoding_run-7_bold,
aor,0.0004305806451612,sub-10_ses-2_task-encoding_run-8_bold,
aor,0.0006647191011235,sub-10_ses-2_task-rest_run-1_bold,
aor,0.0002404057971014,sub-10_ses-2_task-similarity_run-1_bold,
aor,0.000218352601156,sub-10_ses-2_task-similarity_run-2_bold,
aor,0.0005651612903225,sub-11_ses-1_task-encoding_run-1_bold,
aor,0.0005983974358974,sub-11_ses-1_task-encoding_run-2_bold,
aor,0.0059926623376623,sub-11_ses-1_task-encoding_run-3_bold,
aor,0.0006038064516129,sub-11_ses-1_task-encoding_run-4_bold,
aor,0.0005754545454545,sub-11_ses-1_task-encoding_run-5_bold,
aor,0.0009789743589743,sub-11_ses-1_task-encoding_run-6_bold,
aor,0.000486064516129,sub-11_ses-1_task-encoding_run-7_bold,
aor,0.0007326923076923,sub-11_ses-1_task-encoding_run-8_bold,
aor,0.0010276136363636,sub-11_ses-1_task-rest_run-1_bold,
aor,0.0010262921348314,sub-11_ses-1_task-rest_run-2_bold,
aor,0.0009795652173913,sub-11_ses-1_task-similarity_run-1_bold,
aor,0.0074639884393063,sub-11_ses-1_task-similarity_run-2_bold,
aor,0.0008828387096774,sub-11_ses-2_task-encoding_run-1_bold,
aor,0.0014752564102564,sub-11_ses-2_task-encoding_run-2_bold,
aor,0.000849423076923,sub-11_ses-2_task-encoding_run-3_bold,
aor,0.0011454487179487,sub-11_ses-2_task-encoding_run-4_bold,
aor,0.001784423076923,sub-11_ses-2_task-encoding_run-5_bold,
aor,0.001093141025641,sub-11_ses-2_task-encoding_run-6_bold,
aor,0.0013788461538461,sub-11_ses-2_task-encoding_run-7_bold,
aor,0.0021708333333333,sub-11_ses-2_task-encoding_run-8_bold,
aor,0.0009340449438202,sub-11_ses-2_task-rest_run-1_bold,
aor,0.0012308959537572,sub-11_ses-2_task-similarity_run-1_bold,
aor,0.0003791014492753,sub-11_ses-2_task-similarity_run-2_bold,
aor,0.0004910967741935,sub-13_ses-1_task-encoding_run-1_bold,
aor,0.0004870967741935,sub-13_ses-1_task-encoding_run-2_bold,
aor,0.0004894838709677,sub-13_ses-1_task-encoding_run-3_bold,
aor,0.0008232903225806,sub-13_ses-1_task-encoding_run-4_bold,
aor,0.000610064516129,sub-13_ses-1_task-encoding_run-5_bold,
aor,0.0005473548387096,sub-13_ses-1_task-encoding_run-6_bold,
aor,0.0004958441558441,sub-13_ses-1_task-encoding_run-7_bold,
aor,0.0005465806451612,sub-13_ses-1_task-encoding_run-8_bold,
aor,0.0004151977401129,sub-13_ses-1_task-rest_run-1_bold,
aor,0.0008586440677966,sub-13_ses-1_task-rest_run-2_bold,
aor,0.0002054941860465,sub-13_ses-1_task-similarity_run-1_bold,
aor,0.000173536231884,sub-13_ses-1_task-similarity_run-2_bold,
aor,0.0005017419354838,sub-13_ses-2_task-encoding_run-1_bold,
aor,0.0004682580645161,sub-13_ses-2_task-encoding_run-2_bold,
aor,0.0005692857142857,sub-13_ses-2_task-encoding_run-3_bold,
aor,0.0005148387096774,sub-13_ses-2_task-encoding_run-4_bold,
aor,0.0004842857142857,sub-13_ses-2_task-encoding_run-5_bold,
aor,0.000549423076923,sub-13_ses-2_task-encoding_run-6_bold,
aor,0.0005563225806451,sub-13_ses-2_task-encoding_run-7_bold,
aor,0.0005254545454545,sub-13_ses-2_task-encoding_run-8_bold,
aor,0.0008002808988764,sub-13_ses-2_task-rest_run-1_bold,
aor,0.0067958720930232,sub-13_ses-2_task-similarity_run-1_bold,
aor,0.0002573623188405,sub-13_ses-2_task-similarity_run-2_bold,
aor,0.0007401923076923,sub-14_ses-1_task-encoding_run-1_bold,
aor,0.0005530463576158,sub-14_ses-1_task-encoding_run-2_bold,
aor,0.0009637179487179,sub-14_ses-1_task-encoding_run-3_bold,
aor,0.0007574358974358,sub-14_ses-1_task-encoding_run-4_bold,
aor,0.0005491666666666,sub-14_ses-1_task-encoding_run-5_bold,
aor,0.0017229487179487,sub-14_ses-1_task-encoding_run-6_bold,
aor,0.0007725641025641,sub-14_ses-1_task-encoding_run-7_bold,
aor,0.0006000641025641,sub-14_ses-1_task-encoding_run-8_bold,
aor,0.0006207303370786,sub-14_ses-1_task-rest_run-1_bold,
aor,0.0005025280898876,sub-14_ses-1_task-rest_run-2_bold,
aor,0.0007921965317919,sub-14_ses-1_task-similarity_run-1_bold,
aor,0.0005204624277456,sub-14_ses-1_task-similarity_run-2_bold,
aor,0.0005641666666666,sub-14_ses-2_task-encoding_run-1_bold,
aor,0.0016167307692307,sub-14_ses-2_task-encoding_run-2_bold,
aor,0.0017175641025641,sub-14_ses-2_task-encoding_run-3_bold,
aor,0.0012790445859872,sub-14_ses-2_task-encoding_run-4_bold,
aor,0.0006348275862068,sub-14_ses-2_task-encoding_run-5_bold,
aor,0.0014473076923076,sub-14_ses-2_task-encoding_run-6_bold,
aor,0.0009183333333333,sub-14_ses-2_task-encoding_run-7_bold,
aor,0.0011654777070063,sub-14_ses-2_task-encoding_run-8_bold,
aor,0.0006265168539325,sub-14_ses-2_task-rest_run-1_bold,
aor,0.0005133815028901,sub-14_ses-2_task-similarity_run-1_bold,
aor,0.0007742485549132,sub-14_ses-2_task-similarity_run-2_bold,
aor,0.0005770512820512,sub-16_ses-1_task-encoding_run-1_bold,
aor,0.0004176774193548,sub-16_ses-1_task-encoding_run-2_bold,
aor,0.0004427564102564,sub-16_ses-1_task-encoding_run-3_bold,
aor,0.0006183225806451,sub-16_ses-1_task-encoding_run-4_bold,
aor,0.0008242857142857,sub-16_ses-1_task-encoding_run-5_bold,
aor,0.0007242307692307,sub-16_ses-1_task-encoding_run-6_bold,
aor,0.0006476129032258,sub-16_ses-1_task-encoding_run-7_bold,
aor,0.0005401282051282,sub-16_ses-1_task-encoding_run-8_bold,
aor,0.0004208474576271,sub-16_ses-1_task-rest_run-1_bold,
aor,0.0006529775280898,sub-16_ses-1_task-rest_run-2_bold,
aor,0.0003262209302325,sub-16_ses-1_task-similarity_run-1_bold,
aor,0.0002820520231213,sub-16_ses-1_task-similarity_run-2_bold,
aor,0.0004784516129032,sub-16_ses-2_task-encoding_run-1_bold,
aor,0.0005193589743589,sub-16_ses-2_task-encoding_run-2_bold,
aor,0.000604423076923,sub-16_ses-2_task-encoding_run-3_bold,
aor,0.0003898709677419,sub-16_ses-2_task-encoding_run-4_bold,
aor,0.000560193548387,sub-16_ses-2_task-encoding_run-5_bold,
aor,0.0003304516129032,sub-16_ses-2_task-encoding_run-6_bold,
aor,0.000912193548387,sub-16_ses-2_task-encoding_run-7_bold,
aor,0.0005510256410256,sub-16_ses-2_task-encoding_run-8_bold,
aor,0.0008088700564971,sub-16_ses-2_task-rest_run-1_bold,
aor,0.0004795652173913,sub-16_ses-2_task-similarity_run-1_bold,
aor,0.0008070144927536,sub-16_ses-2_task-similarity_run-2_bold,
aor,0.0023796153846153,sub-17_ses-1_task-encoding_run-1_bold,
aor,0.0007036538461538,sub-17_ses-1_task-encoding_run-2_bold,
aor,0.0011160897435897,sub-17_ses-1_task-encoding_run-3_bold,
aor,0.001190641025641,sub-17_ses-1_task-encoding_run-4_bold,
aor,0.0019471612903225,sub-17_ses-1_task-encoding_run-5_bold,
aor,0.0007391612903225,sub-17_ses-1_task-encoding_run-6_bold,
aor,0.0009153205128205,sub-17_ses-1_task-encoding_run-7_bold,
aor,0.0006498709677419,sub-17_ses-1_task-encoding_run-8_bold,
aor,0.000844606741573,sub-17_ses-1_task-rest_run-1_bold,
aor,0.0006835955056179,sub-17_ses-1_task-rest_run-2_bold,
aor,0.0002619420289855,sub-17_ses-1_task-similarity_run-1_bold,
aor,0.0012464347826086,sub-17_ses-1_task-similarity_run-2_bold,
aor,0.0004959615384615,sub-17_ses-2_task-encoding_run-1_bold,
aor,0.0005805161290322,sub-17_ses-2_task-encoding_run-2_bold,
aor,0.00047,sub-17_ses-2_task-encoding_run-3_bold,
aor,0.0005105769230769,sub-17_ses-2_task-encoding_run-4_bold,
aor,0.000738193548387,sub-17_ses-2_task-encoding_run-5_bold,
aor,0.0005538709677419,sub-17_ses-2_task-encoding_run-6_bold,
aor,0.0007884516129032,sub-17_ses-2_task-encoding_run-7_bold,
aor,0.0006043225806451,sub-17_ses-2_task-encoding_run-8_bold,
aor,0.0003685795454545,sub-17_ses-2_task-rest_run-1_bold,
aor,0.0002904624277456,sub-17_ses-2_task-similarity_run-1_bold,
aor,0.0002465028901734,sub-17_ses-2_task-similarity_run-2_bold,
aor,0.0007914102564102,sub-18_ses-1_task-encoding_run-1_bold,
aor,0.0012205806451612,sub-18_ses-1_task-encoding_run-2_bold,
aor,0.0018407792207792,sub-18_ses-1_task-encoding_run-3_bold,
aor,0.0004757792207792,sub-18_ses-1_task-encoding_run-4_bold,
aor,0.0005385161290322,sub-18_ses-1_task-encoding_run-5_bold,
aor,0.0006118709677419,sub-18_ses-1_task-encoding_run-6_bold,
aor,0.000728129032258,sub-18_ses-1_task-encoding_run-7_bold,
aor,0.0007334640522875,sub-18_ses-1_task-encoding_run-8_bold,
aor,0.0006024858757062,sub-18_ses-1_task-rest_run-1_bold,
aor,0.0005029378531073,sub-18_ses-1_task-rest_run-2_bold,
aor,0.0002158550724637,sub-18_ses-1_task-similarity_run-1_bold,
aor,0.0010162608695652,sub-18_ses-1_task-similarity_run-2_bold,
aor,0.0005571612903225,sub-18_ses-2_task-encoding_run-1_bold,
aor,0.0005433333333333,sub-18_ses-2_task-encoding_run-2_bold,
aor,0.0005182580645161,sub-18_ses-2_task-encoding_run-3_bold,
aor,0.0005725806451612,sub-18_ses-2_task-encoding_run-4_bold,
aor,0.0009359615384615,sub-18_ses-2_task-encoding_run-5_bold,
aor,0.0009555483870967,sub-18_ses-2_task-encoding_run-6_bold,
aor,0.0005536241610738,sub-18_ses-2_task-encoding_run-7_bold,
aor,0.000546064516129,sub-18_ses-2_task-encoding_run-8_bold,
aor,0.0004187570621468,sub-18_ses-2_task-rest_run-1_bold,
aor,0.0003523188405797,sub-18_ses-2_task-similarity_run-1_bold,
aor,0.0003518604651162,sub-18_ses-2_task-similarity_run-2_bold,
aor,0.000542064516129,sub-19_ses-1_task-encoding_run-1_bold,
aor,0.0004767096774193,sub-19_ses-1_task-encoding_run-2_bold,
aor,0.0014877419354838,sub-19_ses-1_task-encoding_run-3_bold,
aor,0.0005145806451612,sub-19_ses-1_task-encoding_run-4_bold,
aor,0.0010227741935483,sub-19_ses-1_task-encoding_run-5_bold,
aor,0.0006029032258064,sub-19_ses-1_task-encoding_run-6_bold,
aor,0.0004356774193548,sub-19_ses-1_task-encoding_run-7_bold,
aor,0.0013516129032258,sub-19_ses-1_task-encoding_run-8_bold,
aor,0.0005615254237288,sub-19_ses-1_task-rest_run-1_bold,
aor,0.0006927118644067,sub-19_ses-1_task-rest_run-2_bold,
aor,0.0001704347826086,sub-19_ses-1_task-similarity_run-1_bold,
aor,0.0003058017492711,sub-19_ses-1_task-similarity_run-2_bold,
aor,0.0006680128205128,sub-19_ses-2_task-encoding_run-1_bold,
aor,0.0004552597402597,sub-19_ses-2_task-encoding_run-2_bold,
aor,0.0009615483870967,sub-19_ses-2_task-encoding_run-3_bold,
aor,0.0004702580645161,sub-19_ses-2_task-encoding_run-4_bold,
aor,0.0005639354838709,sub-19_ses-2_task-encoding_run-5_bold,
aor,0.0008648076923076,sub-19_ses-2_task-encoding_run-6_bold,
aor,0.0004834838709677,sub-19_ses-2_task-encoding_run-7_bold,
aor,0.0008604487179487,sub-19_ses-2_task-encoding_run-8_bold,
aor,0.0006784745762711,sub-19_ses-2_task-rest_run-1_bold,
aor,0.0001922608695652,sub-19_ses-2_task-similarity_run-1_bold,
aor,0.0007661046511627,sub-19_ses-2_task-similarity_run-2_bold,
aor,0.0006749032258064,sub-20_ses-1_task-encoding_run-1_bold,
aor,0.0005248051948051,sub-20_ses-1_task-encoding_run-2_bold,
aor,0.0005098709677419,sub-20_ses-1_task-encoding_run-3_bold,
aor,0.0008867096774193,sub-20_ses-1_task-encoding_run-4_bold,
aor,0.0006745512820512,sub-20_ses-1_task-encoding_run-5_bold,
aor,0.0009348076923076,sub-20_ses-1_task-encoding_run-6_bold,
aor,0.0006716666666666,sub-20_ses-1_task-encoding_run-7_bold,
aor,0.0008409677419354,sub-20_ses-1_task-encoding_run-8_bold,
aor,0.000382808988764,sub-20_ses-1_task-rest_run-1_bold,
aor,0.0005522033898305,sub-20_ses-1_task-rest_run-2_bold,
aor,0.0001813913043478,sub-20_ses-1_task-similarity_run-1_bold,
aor,0.0001883188405797,sub-20_ses-1_task-similarity_run-2_bold,
aor,0.000520641025641,sub-20_ses-2_task-encoding_run-1_bold,
aor,0.000854064516129,sub-20_ses-2_task-encoding_run-2_bold,
aor,0.0005217419354838,sub-20_ses-2_task-encoding_run-3_bold,
aor,0.000416064516129,sub-20_ses-2_task-encoding_run-4_bold,
aor,0.0004946103896103,sub-20_ses-2_task-encoding_run-5_bold,
aor,0.0005223870967741,sub-20_ses-2_task-encoding_run-6_bold,
aor,0.0005522077922077,sub-20_ses-2_task-encoding_run-7_bold,
aor,0.0007362179487179,sub-20_ses-2_task-encoding_run-8_bold,
aor,0.0004637078651685,sub-20_ses-2_task-rest_run-1_bold,
aor,0.000195,sub-20_ses-2_task-similarity_run-1_bold,
aor,0.0002161449275362,sub-20_ses-2_task-similarity_run-2_bold,
aor,0.0011287179487179,sub-25_ses-1_task-encoding_run-1_bold,
aor,0.0014856129032258,sub-25_ses-1_task-encoding_run-2_bold,
aor,0.000542129032258,sub-25_ses-1_task-encoding_run-3_bold,
aor,0.0010580769230769,sub-25_ses-1_task-encoding_run-4_bold,
aor,0.0009882580645161,sub-25_ses-1_task-encoding_run-5_bold,
aor,0.000944193548387,sub-25_ses-1_task-encoding_run-6_bold,
aor,0.0008907142857142,sub-25_ses-1_task-encoding_run-7_bold,
aor,0.0004992258064516,sub-25_ses-1_task-encoding_run-8_bold,
aor,0.0014580790960451,sub-25_ses-1_task-rest_run-1_bold,
aor,0.0005295505617977,sub-25_ses-1_task-rest_run-2_bold,
aor,0.0010001453488372,sub-25_ses-1_task-similarity_run-1_bold,
aor,0.0002727325581395,sub-25_ses-1_task-similarity_run-2_bold,
aor,0.0006528846153846,sub-25_ses-2_task-encoding_run-1_bold,
aor,0.000616129032258,sub-25_ses-2_task-encoding_run-2_bold,
aor,0.0006880519480519,sub-25_ses-2_task-encoding_run-3_bold,
aor,0.0006964516129032,sub-25_ses-2_task-encoding_run-4_bold,
aor,0.0006989743589743,sub-25_ses-2_task-encoding_run-5_bold,
aor,0.0007287096774193,sub-25_ses-2_task-encoding_run-6_bold,
aor,0.0005572727272727,sub-25_ses-2_task-encoding_run-7_bold,
aor,0.0006016993464052,sub-25_ses-2_task-encoding_run-8_bold,
aor,0.0004517714285714,sub-25_ses-2_task-rest_run-1_bold,
aor,0.0002866956521739,sub-25_ses-2_task-similarity_run-1_bold,
aor,0.0005906956521739,sub-25_ses-2_task-similarity_run-2_bold,
aor,0.0007709032258064,sub-26_ses-1_task-encoding_run-1_bold,
aor,0.0009057419354838,sub-26_ses-1_task-encoding_run-2_bold,
aor,0.0006009615384615,sub-26_ses-1_task-encoding_run-3_bold,
aor,0.0007206451612903,sub-26_ses-1_task-encoding_run-4_bold,
aor,0.0023430128205128,sub-26_ses-1_task-encoding_run-5_bold,
aor,0.0006844871794871,sub-26_ses-1_task-encoding_run-6_bold,
aor,0.0005716129032258,sub-26_ses-1_task-encoding_run-7_bold,
aor,0.0006714102564102,sub-26_ses-1_task-encoding_run-8_bold,
aor,0.0003406779661016,sub-26_ses-1_task-rest_run-1_bold,
aor,0.0005818079096045,sub-26_ses-1_task-rest_run-2_bold,
aor,0.0001880289855072,sub-26_ses-1_task-similarity_run-1_bold,
aor,0.0005009248554913,sub-26_ses-1_task-similarity_run-2_bold,
aor,0.0005284516129032,sub-26_ses-2_task-encoding_run-1_bold,
aor,0.0005876129032258,sub-26_ses-2_task-encoding_run-2_bold,
aor,0.0004329677419354,sub-26_ses-2_task-encoding_run-3_bold,
aor,0.0006853548387096,sub-26_ses-2_task-encoding_run-4_bold,
aor,0.0012737179487179,sub-26_ses-2_task-encoding_run-5_bold,
aor,0.0012042948717948,sub-26_ses-2_task-encoding_run-6_bold,
aor,0.0006867741935483,sub-26_ses-2_task-encoding_run-7_bold,
aor,0.0009051282051282,sub-26_ses-2_task-encoding_run-8_bold,
aor,0.0009041477272727,sub-26_ses-2_task-rest_run-1_bold,
aor,0.0005342028985507,sub-26_ses-2_task-similarity_run-1_bold,
aor,0.0003840173410404,sub-26_ses-2_task-similarity_run-2_bold,
aor,0.0007045512820512,sub-27_ses-1_task-encoding_run-1_bold,
aor,0.0012625,sub-27_ses-1_task-encoding_run-2_bold,
aor,0.0010536129032258,sub-27_ses-1_task-encoding_run-3_bold,
aor,0.0009617948717948,sub-27_ses-1_task-encoding_run-4_bold,
aor,0.0011302564102564,sub-27_ses-1_task-encoding_run-5_bold,
aor,0.0007939102564102,sub-27_ses-1_task-encoding_run-6_bold,
aor,0.0005966666666666,sub-27_ses-1_task-encoding_run-7_bold,
aor,0.0006171794871794,sub-27_ses-1_task-encoding_run-8_bold,
aor,0.0003244382022471,sub-27_ses-1_task-rest_run-1_bold,
aor,0.0016662359550561,sub-27_ses-1_task-rest_run-2_bold,
aor,0.0002847109826589,sub-27_ses-1_task-similarity_run-1_bold,
aor,0.0136345375722543,sub-27_ses-1_task-similarity_run-2_bold,
aor,0.000576923076923,sub-27_ses-2_task-encoding_run-1_bold,
aor,0.0012378205128205,sub-27_ses-2_task-encoding_run-2_bold,
aor,0.0012211538461538,sub-27_ses-2_task-encoding_run-3_bold,
aor,0.0011691025641025,sub-27_ses-2_task-encoding_run-4_bold,
aor,0.000691923076923,sub-27_ses-2_task-encoding_run-5_bold,
aor,0.0005985256410256,sub-27_ses-2_task-encoding_run-6_bold,
aor,0.0006448076923076,sub-27_ses-2_task-encoding_run-7_bold,
aor,0.0005318589743589,sub-27_ses-2_task-encoding_run-8_bold,
aor,0.0016077653631284,sub-27_ses-2_task-rest_run-1_bold,
aor,0.0004318786127167,sub-27_ses-2_task-similarity_run-1_bold,
aor,0.0022061959654178,sub-27_ses-2_task-similarity_run-2_bold,
aor,0.0014334615384615,sub-28_ses-1_task-encoding_run-1_bold,
aor,0.0012987179487179,sub-28_ses-1_task-encoding_run-2_bold,
aor,0.0045090384615384,sub-28_ses-1_task-encoding_run-3_bold,
aor,0.0006394117647058,sub-28_ses-1_task-encoding_run-4_bold,
aor,0.0009438461538461,sub-28_ses-1_task-encoding_run-5_bold,
aor,0.0016532692307692,sub-28_ses-1_task-encoding_run-6_bold,
aor,0.0011453205128205,sub-28_ses-1_task-encoding_run-7_bold,
aor,0.0011843589743589,sub-28_ses-1_task-encoding_run-8_bold,
aor,0.0012683707865168,sub-28_ses-1_task-rest_run-1_bold,
aor,0.000839213483146,sub-28_ses-1_task-rest_run-2_bold,
aor,0.0006510115606936,sub-28_ses-1_task-similarity_run-1_bold,
aor,0.0004664244186046,sub-28_ses-1_task-similarity_run-2_bold,
aor,0.0007621794871794,sub-28_ses-2_task-encoding_run-1_bold,
aor,0.0009182692307692,sub-28_ses-2_task-encoding_run-2_bold,
aor,0.000845,sub-28_ses-2_task-encoding_run-3_bold,
aor,0.0010769677419354,sub-28_ses-2_task-encoding_run-4_bold,
aor,0.0013380128205128,sub-28_ses-2_task-encoding_run-5_bold,
aor,0.0010605194805194,sub-28_ses-2_task-encoding_run-6_bold,
aor,0.0009151923076923,sub-28_ses-2_task-encoding_run-7_bold,
aor,0.0009660897435897,sub-28_ses-2_task-encoding_run-8_bold,
aor,0.0013301694915254,sub-28_ses-2_task-rest_run-1_bold,
aor,0.0008030924855491,sub-28_ses-2_task-similarity_run-1_bold,
aor,0.0003377167630057,sub-28_ses-2_task-similarity_run-2_bold,
</pre>
<div class="chart-wrapper" id="chart-group14"></div>
<pre class="csvdata" id="data-csv14" style="display: none">
iqm,value,label,units
aqi,0.0214421258064516,sub-01_ses-1_task-encoding_run-1_bold,
aqi,0.0340802851612903,sub-01_ses-1_task-encoding_run-2_bold,
aqi,0.0295312064102564,sub-01_ses-1_task-encoding_run-3_bold,
aqi,0.025668249032258,sub-01_ses-1_task-encoding_run-4_bold,
aqi,0.0227303647435897,sub-01_ses-1_task-encoding_run-5_bold,
aqi,0.0262000974358974,sub-01_ses-1_task-encoding_run-6_bold,
aqi,0.015113791025641,sub-01_ses-1_task-encoding_run-7_bold,
aqi,0.0151794232258064,sub-01_ses-1_task-encoding_run-8_bold,
aqi,0.0417063740112994,sub-01_ses-1_task-rest_run-1_bold,
aqi,0.0365696747826086,sub-01_ses-1_task-similarity_run-1_bold,
aqi,0.0593251863768116,sub-01_ses-1_task-similarity_run-2_bold,
aqi,0.0168811076923076,sub-01_ses-2_task-encoding_run-1_bold,
aqi,0.0167699769230769,sub-01_ses-2_task-encoding_run-2_bold,
aqi,0.0162068487179487,sub-01_ses-2_task-encoding_run-3_bold,
aqi,0.0167107801282051,sub-01_ses-2_task-encoding_run-4_bold,
aqi,0.0609803134615384,sub-01_ses-2_task-encoding_run-5_bold,
aqi,0.0183071044871794,sub-01_ses-2_task-encoding_run-6_bold,
aqi,0.0221561219354838,sub-01_ses-2_task-encoding_run-7_bold,
aqi,0.0206615303225806,sub-01_ses-2_task-encoding_run-8_bold,
aqi,0.016823720338983,sub-01_ses-2_task-rest_run-1_bold,
aqi,0.0308854852601156,sub-01_ses-2_task-similarity_run-1_bold,
aqi,0.0297568676300578,sub-01_ses-2_task-similarity_run-2_bold,
aqi,0.0197994416666666,sub-02_ses-1_task-encoding_run-1_bold,
aqi,0.0200750019354838,sub-02_ses-1_task-encoding_run-2_bold,
aqi,0.015545693548387,sub-02_ses-1_task-encoding_run-3_bold,
aqi,0.0159328051612903,sub-02_ses-1_task-encoding_run-4_bold,
aqi,0.0160944136363636,sub-02_ses-1_task-encoding_run-5_bold,
aqi,0.0157721554838709,sub-02_ses-1_task-encoding_run-6_bold,
aqi,0.0147922819354838,sub-02_ses-1_task-encoding_run-7_bold,
aqi,0.0215906999999999,sub-02_ses-1_task-encoding_run-8_bold,
aqi,0.0294476297752809,sub-02_ses-1_task-rest_run-1_bold,
aqi,0.0334724909604519,sub-02_ses-1_task-rest_run-2_bold,
aqi,0.0325760621387283,sub-02_ses-1_task-similarity_run-1_bold,
aqi,0.0286422612716763,sub-02_ses-1_task-similarity_run-2_bold,
aqi,0.0162950070967741,sub-02_ses-2_task-encoding_run-1_bold,
aqi,0.0167694509677419,sub-02_ses-2_task-encoding_run-2_bold,
aqi,0.0170494801282051,sub-02_ses-2_task-encoding_run-3_bold,
aqi,0.015356882051282,sub-02_ses-2_task-encoding_run-4_bold,
aqi,0.014642964516129,sub-02_ses-2_task-encoding_run-5_bold,
aqi,0.0149089314102564,sub-02_ses-2_task-encoding_run-6_bold,
aqi,0.015278817218543,sub-02_ses-2_task-encoding_run-7_bold,
aqi,0.0142654685897435,sub-02_ses-2_task-encoding_run-8_bold,
aqi,0.0150537297468354,sub-02_ses-2_task-rest_run-1_bold,
aqi,0.021229764450867,sub-02_ses-2_task-similarity_run-1_bold,
aqi,0.0147871582608695,sub-02_ses-2_task-similarity_run-2_bold,
aqi,0.0221701051612903,sub-03_ses-1_task-encoding_run-1_bold,
aqi,0.0215884922580645,sub-03_ses-1_task-encoding_run-2_bold,
aqi,0.0223861274509803,sub-03_ses-1_task-encoding_run-3_bold,
aqi,0.0251841025974025,sub-03_ses-1_task-encoding_run-4_bold,
aqi,0.0216525863636363,sub-03_ses-1_task-encoding_run-5_bold,
aqi,0.0327201716129032,sub-03_ses-1_task-encoding_run-6_bold,
aqi,0.0232355128205128,sub-03_ses-1_task-encoding_run-7_bold,
aqi,0.022784885064935,sub-03_ses-1_task-encoding_run-8_bold,
aqi,0.0231484265536723,sub-03_ses-1_task-rest_run-1_bold,
aqi,0.0271995039548022,sub-03_ses-1_task-rest_run-2_bold,
aqi,0.025769102601156,sub-03_ses-1_task-similarity_run-1_bold,
aqi,0.0217908614492753,sub-03_ses-1_task-similarity_run-2_bold,
aqi,0.0210800419354838,sub-03_ses-2_task-encoding_run-1_bold,
aqi,0.0229465464516129,sub-03_ses-2_task-encoding_run-2_bold,
aqi,0.0191487634615384,sub-03_ses-2_task-encoding_run-3_bold,
aqi,0.021836944516129,sub-03_ses-2_task-encoding_run-4_bold,
aqi,0.0198085735483871,sub-03_ses-2_task-encoding_run-5_bold,
aqi,0.0194642832258064,sub-03_ses-2_task-encoding_run-6_bold,
aqi,0.0229196122580645,sub-03_ses-2_task-encoding_run-7_bold,
aqi,0.0201665438709677,sub-03_ses-2_task-encoding_run-8_bold,
aqi,0.0201054983050847,sub-03_ses-2_task-rest_run-1_bold,
aqi,0.0261183289855072,sub-03_ses-2_task-similarity_run-1_bold,
aqi,0.0194933800578034,sub-03_ses-2_task-similarity_run-2_bold,
aqi,0.019144853548387,sub-04_ses-1_task-encoding_run-1_bold,
aqi,0.0125030954838709,sub-04_ses-1_task-encoding_run-2_bold,
aqi,0.0136130642857142,sub-04_ses-1_task-encoding_run-3_bold,
aqi,0.0143267832258064,sub-04_ses-1_task-encoding_run-4_bold,
aqi,0.0156518587096774,sub-04_ses-1_task-encoding_run-5_bold,
aqi,0.0150709367741935,sub-04_ses-1_task-encoding_run-6_bold,
aqi,0.0159492670967741,sub-04_ses-1_task-encoding_run-7_bold,
aqi,0.0154087801282051,sub-04_ses-1_task-encoding_run-8_bold,
aqi,0.0192591460674157,sub-04_ses-1_task-rest_run-1_bold,
aqi,0.014941033898305,sub-04_ses-1_task-rest_run-2_bold,
aqi,0.0226647495652173,sub-04_ses-1_task-similarity_run-1_bold,
aqi,0.0153997378612716,sub-04_ses-1_task-similarity_run-2_bold,
aqi,0.0166760775641025,sub-04_ses-2_task-encoding_run-1_bold,
aqi,0.0147579301282051,sub-04_ses-2_task-encoding_run-2_bold,
aqi,0.017647189032258,sub-04_ses-2_task-encoding_run-3_bold,
aqi,0.0178894322580645,sub-04_ses-2_task-encoding_run-4_bold,
aqi,0.017015073548387,sub-04_ses-2_task-encoding_run-5_bold,
aqi,0.015271309032258,sub-04_ses-2_task-encoding_run-6_bold,
aqi,0.0167203006451612,sub-04_ses-2_task-encoding_run-7_bold,
aqi,0.0155990270967741,sub-04_ses-2_task-encoding_run-8_bold,
aqi,0.014117138418079,sub-04_ses-2_task-rest_run-1_bold,
aqi,0.0175435376811594,sub-04_ses-2_task-similarity_run-1_bold,
aqi,0.0219579305232558,sub-04_ses-2_task-similarity_run-2_bold,
aqi,0.0268662294871794,sub-06_ses-1_task-encoding_run-1_bold,
aqi,0.0136747032258064,sub-06_ses-1_task-encoding_run-2_bold,
aqi,0.0232766705128205,sub-06_ses-1_task-encoding_run-3_bold,
aqi,0.0130608161290322,sub-06_ses-1_task-encoding_run-4_bold,
aqi,0.0590866897435897,sub-06_ses-1_task-encoding_run-5_bold,
aqi,0.0136373694805194,sub-06_ses-1_task-encoding_run-6_bold,
aqi,0.0136593767741935,sub-06_ses-1_task-encoding_run-7_bold,
aqi,0.0186687780645161,sub-06_ses-1_task-encoding_run-8_bold,
aqi,0.0211689440677966,sub-06_ses-1_task-rest_run-1_bold,
aqi,0.0410396703910614,sub-06_ses-1_task-rest_run-2_bold,
aqi,0.0464627620289855,sub-06_ses-1_task-similarity_run-1_bold,
aqi,0.0217956404624277,sub-06_ses-1_task-similarity_run-2_bold,
aqi,0.0181075354838709,sub-06_ses-2_task-encoding_run-1_bold,
aqi,0.0141832529032258,sub-06_ses-2_task-encoding_run-2_bold,
aqi,0.0184743608974359,sub-06_ses-2_task-encoding_run-3_bold,
aqi,0.0260260237179487,sub-06_ses-2_task-encoding_run-4_bold,
aqi,0.0143230870967741,sub-06_ses-2_task-encoding_run-5_bold,
aqi,0.016559461038961,sub-06_ses-2_task-encoding_run-6_bold,
aqi,0.0156825378205128,sub-06_ses-2_task-encoding_run-7_bold,
aqi,0.020049232051282,sub-06_ses-2_task-encoding_run-8_bold,
aqi,0.0153596033707865,sub-06_ses-2_task-rest_run-1_bold,
aqi,0.0151204826086956,sub-06_ses-2_task-similarity_run-1_bold,
aqi,0.0305663292753623,sub-06_ses-2_task-similarity_run-2_bold,
aqi,0.0116660478846153,sub-08_ses-1_task-encoding_run-1_bold,
aqi,0.011687815548387,sub-08_ses-1_task-encoding_run-2_bold,
aqi,0.0122460780645161,sub-08_ses-1_task-encoding_run-3_bold,
aqi,0.0151698121794871,sub-08_ses-1_task-encoding_run-4_bold,
aqi,0.0151585919230769,sub-08_ses-1_task-encoding_run-5_bold,
aqi,0.0114981439354838,sub-08_ses-1_task-encoding_run-6_bold,
aqi,0.0121284493548387,sub-08_ses-1_task-encoding_run-7_bold,
aqi,0.0119883679487179,sub-08_ses-1_task-encoding_run-8_bold,
aqi,0.0136409497175141,sub-08_ses-1_task-rest_run-1_bold,
aqi,0.0129977146067415,sub-08_ses-1_task-rest_run-2_bold,
aqi,0.0161192656069364,sub-08_ses-1_task-similarity_run-1_bold,
aqi,0.0256967248554913,sub-08_ses-1_task-similarity_run-2_bold,
aqi,0.013080082051282,sub-08_ses-2_task-encoding_run-1_bold,
aqi,0.0123171967948717,sub-08_ses-2_task-encoding_run-2_bold,
aqi,0.0145069782051282,sub-08_ses-2_task-encoding_run-3_bold,
aqi,0.0151644846153846,sub-08_ses-2_task-encoding_run-4_bold,
aqi,0.0148060419354838,sub-08_ses-2_task-encoding_run-5_bold,
aqi,0.012750209032258,sub-08_ses-2_task-encoding_run-6_bold,
aqi,0.0149962403846153,sub-08_ses-2_task-encoding_run-7_bold,
aqi,0.0223346397435897,sub-08_ses-2_task-encoding_run-8_bold,
aqi,0.0139955438202247,sub-08_ses-2_task-rest_run-1_bold,
aqi,0.0217848092485549,sub-08_ses-2_task-similarity_run-1_bold,
aqi,0.026157975433526,sub-08_ses-2_task-similarity_run-2_bold,
aqi,0.0128382938709677,sub-09_ses-1_task-encoding_run-1_bold,
aqi,0.0113982512903225,sub-09_ses-1_task-encoding_run-2_bold,
aqi,0.0120627970967741,sub-09_ses-1_task-encoding_run-3_bold,
aqi,0.0128043762580645,sub-09_ses-1_task-encoding_run-4_bold,
aqi,0.0117151119354838,sub-09_ses-1_task-encoding_run-5_bold,
aqi,0.0123632027564102,sub-09_ses-1_task-encoding_run-6_bold,
aqi,0.0120546922580645,sub-09_ses-1_task-encoding_run-7_bold,
aqi,0.0120112929487179,sub-09_ses-1_task-encoding_run-8_bold,
aqi,0.0135311224719101,sub-09_ses-1_task-rest_run-1_bold,
aqi,0.0119239928813559,sub-09_ses-1_task-rest_run-2_bold,
aqi,0.0149740507246376,sub-09_ses-1_task-similarity_run-1_bold,
aqi,0.0122590557391304,sub-09_ses-1_task-similarity_run-2_bold,
aqi,0.0145198365384615,sub-09_ses-2_task-encoding_run-1_bold,
aqi,0.0153878961290322,sub-09_ses-2_task-encoding_run-2_bold,
aqi,0.0138498993548387,sub-09_ses-2_task-encoding_run-3_bold,
aqi,0.0157413496774193,sub-09_ses-2_task-encoding_run-4_bold,
aqi,0.0153405232258064,sub-09_ses-2_task-encoding_run-5_bold,
aqi,0.0137633058064516,sub-09_ses-2_task-encoding_run-6_bold,
aqi,0.0136584584415584,sub-09_ses-2_task-encoding_run-7_bold,
aqi,0.0134398277419354,sub-09_ses-2_task-encoding_run-8_bold,
aqi,0.0137061779661016,sub-09_ses-2_task-rest_run-1_bold,
aqi,0.0189137237681159,sub-09_ses-2_task-similarity_run-1_bold,
aqi,0.0261479452173913,sub-09_ses-2_task-similarity_run-2_bold,
aqi,0.0106603434615384,sub-10_ses-1_task-encoding_run-1_bold,
aqi,0.010262562516129,sub-10_ses-1_task-encoding_run-2_bold,
aqi,0.0102542149999999,sub-10_ses-1_task-encoding_run-3_bold,
aqi,0.0097731638461538,sub-10_ses-1_task-encoding_run-4_bold,
aqi,0.0085987416666666,sub-10_ses-1_task-encoding_run-5_bold,
aqi,0.0094024958974358,sub-10_ses-1_task-encoding_run-6_bold,
aqi,0.008473485576923,sub-10_ses-1_task-encoding_run-7_bold,
aqi,0.0093185061038961,sub-10_ses-1_task-encoding_run-8_bold,
aqi,0.0095590390449438,sub-10_ses-1_task-rest_run-1_bold,
aqi,0.0091232208474576,sub-10_ses-1_task-rest_run-2_bold,
aqi,0.0130252359130434,sub-10_ses-1_task-similarity_run-1_bold,
aqi,0.0121253931884057,sub-10_ses-1_task-similarity_run-2_bold,
aqi,0.0114182423076923,sub-10_ses-2_task-encoding_run-1_bold,
aqi,0.0113926210967741,sub-10_ses-2_task-encoding_run-2_bold,
aqi,0.0101487514102564,sub-10_ses-2_task-encoding_run-3_bold,
aqi,0.0093133134193548,sub-10_ses-2_task-encoding_run-4_bold,
aqi,0.0106386382692307,sub-10_ses-2_task-encoding_run-5_bold,
aqi,0.0106116659615384,sub-10_ses-2_task-encoding_run-6_bold,
aqi,0.0101381436538461,sub-10_ses-2_task-encoding_run-7_bold,
aqi,0.0096161589032258,sub-10_ses-2_task-encoding_run-8_bold,
aqi,0.0105558961797752,sub-10_ses-2_task-rest_run-1_bold,
aqi,0.0137345870144927,sub-10_ses-2_task-similarity_run-1_bold,
aqi,0.0120733360693641,sub-10_ses-2_task-similarity_run-2_bold,
aqi,0.0178024974193548,sub-11_ses-1_task-encoding_run-1_bold,
aqi,0.0216458807692307,sub-11_ses-1_task-encoding_run-2_bold,
aqi,0.0281259701298701,sub-11_ses-1_task-encoding_run-3_bold,
aqi,0.0160948038709677,sub-11_ses-1_task-encoding_run-4_bold,
aqi,0.0147956746753246,sub-11_ses-1_task-encoding_run-5_bold,
aqi,0.0153623782051282,sub-11_ses-1_task-encoding_run-6_bold,
aqi,0.0184314619354838,sub-11_ses-1_task-encoding_run-7_bold,
aqi,0.0157377416666666,sub-11_ses-1_task-encoding_run-8_bold,
aqi,0.025741077840909,sub-11_ses-1_task-rest_run-1_bold,
aqi,0.0152777797752808,sub-11_ses-1_task-rest_run-2_bold,
aqi,0.0307601066666666,sub-11_ses-1_task-similarity_run-1_bold,
aqi,0.0385474101156069,sub-11_ses-1_task-similarity_run-2_bold,
aqi,0.0192668883870967,sub-11_ses-2_task-encoding_run-1_bold,
aqi,0.0198819089743589,sub-11_ses-2_task-encoding_run-2_bold,
aqi,0.0223960583333333,sub-11_ses-2_task-encoding_run-3_bold,
aqi,0.0245392826923076,sub-11_ses-2_task-encoding_run-4_bold,
aqi,0.0232184237179487,sub-11_ses-2_task-encoding_run-5_bold,
aqi,0.0248275224358974,sub-11_ses-2_task-encoding_run-6_bold,
aqi,0.0232435307692307,sub-11_ses-2_task-encoding_run-7_bold,
aqi,0.0242430647435897,sub-11_ses-2_task-encoding_run-8_bold,
aqi,0.0341951831460674,sub-11_ses-2_task-rest_run-1_bold,
aqi,0.0298632072254335,sub-11_ses-2_task-similarity_run-1_bold,
aqi,0.0240699968115942,sub-11_ses-2_task-similarity_run-2_bold,
aqi,0.0125846196774193,sub-13_ses-1_task-encoding_run-1_bold,
aqi,0.0114143087096774,sub-13_ses-1_task-encoding_run-2_bold,
aqi,0.0118043354838709,sub-13_ses-1_task-encoding_run-3_bold,
aqi,0.0115346414838709,sub-13_ses-1_task-encoding_run-4_bold,
aqi,0.0123326801935483,sub-13_ses-1_task-encoding_run-5_bold,
aqi,0.01087978,sub-13_ses-1_task-encoding_run-6_bold,
aqi,0.0123316469480519,sub-13_ses-1_task-encoding_run-7_bold,
aqi,0.0110998683870967,sub-13_ses-1_task-encoding_run-8_bold,
aqi,0.0143826807909604,sub-13_ses-1_task-rest_run-1_bold,
aqi,0.012624429039548,sub-13_ses-1_task-rest_run-2_bold,
aqi,0.0162412811046511,sub-13_ses-1_task-similarity_run-1_bold,
aqi,0.0144950504347826,sub-13_ses-1_task-similarity_run-2_bold,
aqi,0.012836713548387,sub-13_ses-2_task-encoding_run-1_bold,
aqi,0.0115342999999999,sub-13_ses-2_task-encoding_run-2_bold,
aqi,0.0111025485714285,sub-13_ses-2_task-encoding_run-3_bold,
aqi,0.0111405523870967,sub-13_ses-2_task-encoding_run-4_bold,
aqi,0.0111673059090909,sub-13_ses-2_task-encoding_run-5_bold,
aqi,0.0114867021794871,sub-13_ses-2_task-encoding_run-6_bold,
aqi,0.0113074865806451,sub-13_ses-2_task-encoding_run-7_bold,
aqi,0.0111672444155844,sub-13_ses-2_task-encoding_run-8_bold,
aqi,0.0127249055617977,sub-13_ses-2_task-rest_run-1_bold,
aqi,0.0247393598837209,sub-13_ses-2_task-similarity_run-1_bold,
aqi,0.0130573832753623,sub-13_ses-2_task-similarity_run-2_bold,
aqi,0.0116127260897435,sub-14_ses-1_task-encoding_run-1_bold,
aqi,0.0104455719205298,sub-14_ses-1_task-encoding_run-2_bold,
aqi,0.0102647796153846,sub-14_ses-1_task-encoding_run-3_bold,
aqi,0.0095621362179487,sub-14_ses-1_task-encoding_run-4_bold,
aqi,0.0096570830128205,sub-14_ses-1_task-encoding_run-5_bold,
aqi,0.0097974190384615,sub-14_ses-1_task-encoding_run-6_bold,
aqi,0.0093840690384615,sub-14_ses-1_task-encoding_run-7_bold,
aqi,0.0096739746794871,sub-14_ses-1_task-encoding_run-8_bold,
aqi,0.012760160730337,sub-14_ses-1_task-rest_run-1_bold,
aqi,0.0107598843820224,sub-14_ses-1_task-rest_run-2_bold,
aqi,0.0128557846531791,sub-14_ses-1_task-similarity_run-1_bold,
aqi,0.012201910317919,sub-14_ses-1_task-similarity_run-2_bold,
aqi,0.0179063673076923,sub-14_ses-2_task-encoding_run-1_bold,
aqi,0.017023391025641,sub-14_ses-2_task-encoding_run-2_bold,
aqi,0.0185030217948717,sub-14_ses-2_task-encoding_run-3_bold,
aqi,0.0154271426751592,sub-14_ses-2_task-encoding_run-4_bold,
aqi,0.0137822744827586,sub-14_ses-2_task-encoding_run-5_bold,
aqi,0.0159943833333333,sub-14_ses-2_task-encoding_run-6_bold,
aqi,0.0151198692307692,sub-14_ses-2_task-encoding_run-7_bold,
aqi,0.0154112878980891,sub-14_ses-2_task-encoding_run-8_bold,
aqi,0.0170847707865168,sub-14_ses-2_task-rest_run-1_bold,
aqi,0.0169989956647398,sub-14_ses-2_task-similarity_run-1_bold,
aqi,0.0166739872832369,sub-14_ses-2_task-similarity_run-2_bold,
aqi,0.011444546025641,sub-16_ses-1_task-encoding_run-1_bold,
aqi,0.0148213103225806,sub-16_ses-1_task-encoding_run-2_bold,
aqi,0.01413245,sub-16_ses-1_task-encoding_run-3_bold,
aqi,0.011567028516129,sub-16_ses-1_task-encoding_run-4_bold,
aqi,0.0159111035714285,sub-16_ses-1_task-encoding_run-5_bold,
aqi,0.0128275173076923,sub-16_ses-1_task-encoding_run-6_bold,
aqi,0.0113174312258064,sub-16_ses-1_task-encoding_run-7_bold,
aqi,0.0116729553846153,sub-16_ses-1_task-encoding_run-8_bold,
aqi,0.0153408378531073,sub-16_ses-1_task-rest_run-1_bold,
aqi,0.012010995,sub-16_ses-1_task-rest_run-2_bold,
aqi,0.0153602119186046,sub-16_ses-1_task-similarity_run-1_bold,
aqi,0.0127170219653179,sub-16_ses-1_task-similarity_run-2_bold,
aqi,0.0149379567741935,sub-16_ses-2_task-encoding_run-1_bold,
aqi,0.0155333237179487,sub-16_ses-2_task-encoding_run-2_bold,
aqi,0.0140037608974358,sub-16_ses-2_task-encoding_run-3_bold,
aqi,0.0189137787096774,sub-16_ses-2_task-encoding_run-4_bold,
aqi,0.014451173548387,sub-16_ses-2_task-encoding_run-5_bold,
aqi,0.0294105296774193,sub-16_ses-2_task-encoding_run-6_bold,
aqi,0.0134564947741935,sub-16_ses-2_task-encoding_run-7_bold,
aqi,0.0136513705128205,sub-16_ses-2_task-encoding_run-8_bold,
aqi,0.0163811282485875,sub-16_ses-2_task-rest_run-1_bold,
aqi,0.0251976260869565,sub-16_ses-2_task-similarity_run-1_bold,
aqi,0.0264786828985507,sub-16_ses-2_task-similarity_run-2_bold,
aqi,0.0246435544871794,sub-17_ses-1_task-encoding_run-1_bold,
aqi,0.0220154576923076,sub-17_ses-1_task-encoding_run-2_bold,
aqi,0.0200235442307692,sub-17_ses-1_task-encoding_run-3_bold,
aqi,0.0237847435897435,sub-17_ses-1_task-encoding_run-4_bold,
aqi,0.0220762251612903,sub-17_ses-1_task-encoding_run-5_bold,
aqi,0.0193433922580645,sub-17_ses-1_task-encoding_run-6_bold,
aqi,0.0229025564102564,sub-17_ses-1_task-encoding_run-7_bold,
aqi,0.0188676232258064,sub-17_ses-1_task-encoding_run-8_bold,
aqi,0.0337609595505618,sub-17_ses-1_task-rest_run-1_bold,
aqi,0.0186772011235955,sub-17_ses-1_task-rest_run-2_bold,
aqi,0.0220823089855072,sub-17_ses-1_task-similarity_run-1_bold,
aqi,0.0227393805797101,sub-17_ses-1_task-similarity_run-2_bold,
aqi,0.0217203487179487,sub-17_ses-2_task-encoding_run-1_bold,
aqi,0.0167921941935483,sub-17_ses-2_task-encoding_run-2_bold,
aqi,0.0185049316129032,sub-17_ses-2_task-encoding_run-3_bold,
aqi,0.018615075,sub-17_ses-2_task-encoding_run-4_bold,
aqi,0.0204623870967741,sub-17_ses-2_task-encoding_run-5_bold,
aqi,0.0183338109677419,sub-17_ses-2_task-encoding_run-6_bold,
aqi,0.0146549032258064,sub-17_ses-2_task-encoding_run-7_bold,
aqi,0.0185162232258064,sub-17_ses-2_task-encoding_run-8_bold,
aqi,0.0190937034090909,sub-17_ses-2_task-rest_run-1_bold,
aqi,0.0304812260115606,sub-17_ses-2_task-similarity_run-1_bold,
aqi,0.0228748734104046,sub-17_ses-2_task-similarity_run-2_bold,
aqi,0.0135710451282051,sub-18_ses-1_task-encoding_run-1_bold,
aqi,0.0175332038709677,sub-18_ses-1_task-encoding_run-2_bold,
aqi,0.0130046935064935,sub-18_ses-1_task-encoding_run-3_bold,
aqi,0.013261959090909,sub-18_ses-1_task-encoding_run-4_bold,
aqi,0.0133757767741935,sub-18_ses-1_task-encoding_run-5_bold,
aqi,0.0128082376129032,sub-18_ses-1_task-encoding_run-6_bold,
aqi,0.0120858628387096,sub-18_ses-1_task-encoding_run-7_bold,
aqi,0.0117713033986928,sub-18_ses-1_task-encoding_run-8_bold,
aqi,0.0215695751412429,sub-18_ses-1_task-rest_run-1_bold,
aqi,0.012393928079096,sub-18_ses-1_task-rest_run-2_bold,
aqi,0.033453924347826,sub-18_ses-1_task-similarity_run-1_bold,
aqi,0.0221787457971014,sub-18_ses-1_task-similarity_run-2_bold,
aqi,0.012635784516129,sub-18_ses-2_task-encoding_run-1_bold,
aqi,0.0120191372549019,sub-18_ses-2_task-encoding_run-2_bold,
aqi,0.0117005238709677,sub-18_ses-2_task-encoding_run-3_bold,
aqi,0.0116596703225806,sub-18_ses-2_task-encoding_run-4_bold,
aqi,0.0114059647435897,sub-18_ses-2_task-encoding_run-5_bold,
aqi,0.0116455748387096,sub-18_ses-2_task-encoding_run-6_bold,
aqi,0.0108650674496644,sub-18_ses-2_task-encoding_run-7_bold,
aqi,0.0110907497419354,sub-18_ses-2_task-encoding_run-8_bold,
aqi,0.0126453565536723,sub-18_ses-2_task-rest_run-1_bold,
aqi,0.024116592173913,sub-18_ses-2_task-similarity_run-1_bold,
aqi,0.0148379183139534,sub-18_ses-2_task-similarity_run-2_bold,
aqi,0.0144507599999999,sub-19_ses-1_task-encoding_run-1_bold,
aqi,0.0135433038709677,sub-19_ses-1_task-encoding_run-2_bold,
aqi,0.0147332354838709,sub-19_ses-1_task-encoding_run-3_bold,
aqi,0.0122174716129032,sub-19_ses-1_task-encoding_run-4_bold,
aqi,0.0159296270967741,sub-19_ses-1_task-encoding_run-5_bold,
aqi,0.0173833077419354,sub-19_ses-1_task-encoding_run-6_bold,
aqi,0.0172330767741935,sub-19_ses-1_task-encoding_run-7_bold,
aqi,0.0147938051612903,sub-19_ses-1_task-encoding_run-8_bold,
aqi,0.0146757610169491,sub-19_ses-1_task-rest_run-1_bold,
aqi,0.0144945960451977,sub-19_ses-1_task-rest_run-2_bold,
aqi,0.0172436994202898,sub-19_ses-1_task-similarity_run-1_bold,
aqi,0.0146859145772594,sub-19_ses-1_task-similarity_run-2_bold,
aqi,0.0168924269230769,sub-19_ses-2_task-encoding_run-1_bold,
aqi,0.0149116435064935,sub-19_ses-2_task-encoding_run-2_bold,
aqi,0.0175929277419354,sub-19_ses-2_task-encoding_run-3_bold,
aqi,0.0143619561290322,sub-19_ses-2_task-encoding_run-4_bold,
aqi,0.0151965787096774,sub-19_ses-2_task-encoding_run-5_bold,
aqi,0.0149968288461538,sub-19_ses-2_task-encoding_run-6_bold,
aqi,0.0171793329032258,sub-19_ses-2_task-encoding_run-7_bold,
aqi,0.0151276294871794,sub-19_ses-2_task-encoding_run-8_bold,
aqi,0.0189899146892655,sub-19_ses-2_task-rest_run-1_bold,
aqi,0.0157720936231884,sub-19_ses-2_task-similarity_run-1_bold,
aqi,0.0188257273255813,sub-19_ses-2_task-similarity_run-2_bold,
aqi,0.0120991247741935,sub-20_ses-1_task-encoding_run-1_bold,
aqi,0.0119943525324675,sub-20_ses-1_task-encoding_run-2_bold,
aqi,0.0120212499354838,sub-20_ses-1_task-encoding_run-3_bold,
aqi,0.0151466309677419,sub-20_ses-1_task-encoding_run-4_bold,
aqi,0.0143410729487179,sub-20_ses-1_task-encoding_run-5_bold,
aqi,0.0147076910897435,sub-20_ses-1_task-encoding_run-6_bold,
aqi,0.0114120478846153,sub-20_ses-1_task-encoding_run-7_bold,
aqi,0.0164125395483871,sub-20_ses-1_task-encoding_run-8_bold,
aqi,0.017294702247191,sub-20_ses-1_task-rest_run-1_bold,
aqi,0.0121489488700564,sub-20_ses-1_task-rest_run-2_bold,
aqi,0.0189460472463768,sub-20_ses-1_task-similarity_run-1_bold,
aqi,0.0140447350724637,sub-20_ses-1_task-similarity_run-2_bold,
aqi,0.0298403974358974,sub-20_ses-2_task-encoding_run-1_bold,
aqi,0.02040082,sub-20_ses-2_task-encoding_run-2_bold,
aqi,0.0154828599999999,sub-20_ses-2_task-encoding_run-3_bold,
aqi,0.0173717483870967,sub-20_ses-2_task-encoding_run-4_bold,
aqi,0.0142509246753246,sub-20_ses-2_task-encoding_run-5_bold,
aqi,0.0148421619354838,sub-20_ses-2_task-encoding_run-6_bold,
aqi,0.0154017201298701,sub-20_ses-2_task-encoding_run-7_bold,
aqi,0.0158080666666666,sub-20_ses-2_task-encoding_run-8_bold,
aqi,0.0133774016853932,sub-20_ses-2_task-rest_run-1_bold,
aqi,0.0194323609826589,sub-20_ses-2_task-similarity_run-1_bold,
aqi,0.0141188301449275,sub-20_ses-2_task-similarity_run-2_bold,
aqi,0.0127929198717948,sub-25_ses-1_task-encoding_run-1_bold,
aqi,0.0303694916129032,sub-25_ses-1_task-encoding_run-2_bold,
aqi,0.0145791638709677,sub-25_ses-1_task-encoding_run-3_bold,
aqi,0.0172059807692307,sub-25_ses-1_task-encoding_run-4_bold,
aqi,0.0133754174193548,sub-25_ses-1_task-encoding_run-5_bold,
aqi,0.0149045070967741,sub-25_ses-1_task-encoding_run-6_bold,
aqi,0.0137658103896103,sub-25_ses-1_task-encoding_run-7_bold,
aqi,0.0124829793548387,sub-25_ses-1_task-encoding_run-8_bold,
aqi,0.01612552259887,sub-25_ses-1_task-rest_run-1_bold,
aqi,0.0176105393258426,sub-25_ses-1_task-rest_run-2_bold,
aqi,0.0248385904069767,sub-25_ses-1_task-similarity_run-1_bold,
aqi,0.0150598107558139,sub-25_ses-1_task-similarity_run-2_bold,
aqi,0.0135620807692307,sub-25_ses-2_task-encoding_run-1_bold,
aqi,0.0147454219354838,sub-25_ses-2_task-encoding_run-2_bold,
aqi,0.0148481454545454,sub-25_ses-2_task-encoding_run-3_bold,
aqi,0.0129942374193548,sub-25_ses-2_task-encoding_run-4_bold,
aqi,0.0141629512820512,sub-25_ses-2_task-encoding_run-5_bold,
aqi,0.013483729032258,sub-25_ses-2_task-encoding_run-6_bold,
aqi,0.0121749409090909,sub-25_ses-2_task-encoding_run-7_bold,
aqi,0.0123513777777777,sub-25_ses-2_task-encoding_run-8_bold,
aqi,0.0151976817142857,sub-25_ses-2_task-rest_run-1_bold,
aqi,0.0258486130434782,sub-25_ses-2_task-similarity_run-1_bold,
aqi,0.0171241585507246,sub-25_ses-2_task-similarity_run-2_bold,
aqi,0.0158538103225806,sub-26_ses-1_task-encoding_run-1_bold,
aqi,0.0145665832258064,sub-26_ses-1_task-encoding_run-2_bold,
aqi,0.016161866025641,sub-26_ses-1_task-encoding_run-3_bold,
aqi,0.0167871664516129,sub-26_ses-1_task-encoding_run-4_bold,
aqi,0.0278411679487179,sub-26_ses-1_task-encoding_run-5_bold,
aqi,0.0175810647435897,sub-26_ses-1_task-encoding_run-6_bold,
aqi,0.0133062412903225,sub-26_ses-1_task-encoding_run-7_bold,
aqi,0.0134929775641025,sub-26_ses-1_task-encoding_run-8_bold,
aqi,0.021514238418079,sub-26_ses-1_task-rest_run-1_bold,
aqi,0.015741433898305,sub-26_ses-1_task-rest_run-2_bold,
aqi,0.0191876805797101,sub-26_ses-1_task-similarity_run-1_bold,
aqi,0.0146615491329479,sub-26_ses-1_task-similarity_run-2_bold,
aqi,0.0135013316129032,sub-26_ses-2_task-encoding_run-1_bold,
aqi,0.0134678070967741,sub-26_ses-2_task-encoding_run-2_bold,
aqi,0.0132020238709677,sub-26_ses-2_task-encoding_run-3_bold,
aqi,0.0131409858064516,sub-26_ses-2_task-encoding_run-4_bold,
aqi,0.0142738435897435,sub-26_ses-2_task-encoding_run-5_bold,
aqi,0.013286223076923,sub-26_ses-2_task-encoding_run-6_bold,
aqi,0.0126219677419354,sub-26_ses-2_task-encoding_run-7_bold,
aqi,0.0129994608974358,sub-26_ses-2_task-encoding_run-8_bold,
aqi,0.0131738681818181,sub-26_ses-2_task-rest_run-1_bold,
aqi,0.0166273507246376,sub-26_ses-2_task-similarity_run-1_bold,
aqi,0.0168536158959537,sub-26_ses-2_task-similarity_run-2_bold,
aqi,0.0131578474358974,sub-27_ses-1_task-encoding_run-1_bold,
aqi,0.013433223076923,sub-27_ses-1_task-encoding_run-2_bold,
aqi,0.0172050716129032,sub-27_ses-1_task-encoding_run-3_bold,
aqi,0.0131282634615384,sub-27_ses-1_task-encoding_run-4_bold,
aqi,0.0159125974358974,sub-27_ses-1_task-encoding_run-5_bold,
aqi,0.0166804641025641,sub-27_ses-1_task-encoding_run-6_bold,
aqi,0.0157070525641025,sub-27_ses-1_task-encoding_run-7_bold,
aqi,0.0162427544871794,sub-27_ses-1_task-encoding_run-8_bold,
aqi,0.0199492831460674,sub-27_ses-1_task-rest_run-1_bold,
aqi,0.017972417977528,sub-27_ses-1_task-rest_run-2_bold,
aqi,0.0210455505780346,sub-27_ses-1_task-similarity_run-1_bold,
aqi,0.0334357101156069,sub-27_ses-1_task-similarity_run-2_bold,
aqi,0.0177840948717948,sub-27_ses-2_task-encoding_run-1_bold,
aqi,0.0219914775641025,sub-27_ses-2_task-encoding_run-2_bold,
aqi,0.022346473076923,sub-27_ses-2_task-encoding_run-3_bold,
aqi,0.0162096358974358,sub-27_ses-2_task-encoding_run-4_bold,
aqi,0.0200960064102564,sub-27_ses-2_task-encoding_run-5_bold,
aqi,0.0175483141025641,sub-27_ses-2_task-encoding_run-6_bold,
aqi,0.0155043333333333,sub-27_ses-2_task-encoding_run-7_bold,
aqi,0.0147019282051282,sub-27_ses-2_task-encoding_run-8_bold,
aqi,0.018307425698324,sub-27_ses-2_task-rest_run-1_bold,
aqi,0.031709552601156,sub-27_ses-2_task-similarity_run-1_bold,
aqi,0.0222105048991354,sub-27_ses-2_task-similarity_run-2_bold,
aqi,0.0162971487179487,sub-28_ses-1_task-encoding_run-1_bold,
aqi,0.0173736923076923,sub-28_ses-1_task-encoding_run-2_bold,
aqi,0.0209006358974358,sub-28_ses-1_task-encoding_run-3_bold,
aqi,0.0263929411764705,sub-28_ses-1_task-encoding_run-4_bold,
aqi,0.0158263666666666,sub-28_ses-1_task-encoding_run-5_bold,
aqi,0.0164546371794871,sub-28_ses-1_task-encoding_run-6_bold,
aqi,0.0149624429487179,sub-28_ses-1_task-encoding_run-7_bold,
aqi,0.0161824673076923,sub-28_ses-1_task-encoding_run-8_bold,
aqi,0.0245201971910112,sub-28_ses-1_task-rest_run-1_bold,
aqi,0.0157593061797752,sub-28_ses-1_task-rest_run-2_bold,
aqi,0.0241689106936416,sub-28_ses-1_task-similarity_run-1_bold,
aqi,0.0182011171511627,sub-28_ses-1_task-similarity_run-2_bold,
aqi,0.0137467532051282,sub-28_ses-2_task-encoding_run-1_bold,
aqi,0.0126638852564102,sub-28_ses-2_task-encoding_run-2_bold,
aqi,0.0130144544230769,sub-28_ses-2_task-encoding_run-3_bold,
aqi,0.0131617380645161,sub-28_ses-2_task-encoding_run-4_bold,
aqi,0.0146940653846153,sub-28_ses-2_task-encoding_run-5_bold,
aqi,0.0126159167532467,sub-28_ses-2_task-encoding_run-6_bold,
aqi,0.0132362626923076,sub-28_ses-2_task-encoding_run-7_bold,
aqi,0.0115775642948717,sub-28_ses-2_task-encoding_run-8_bold,
aqi,0.0136931039548022,sub-28_ses-2_task-rest_run-1_bold,
aqi,0.0159401260115606,sub-28_ses-2_task-similarity_run-1_bold,
aqi,0.0141272404624277,sub-28_ses-2_task-similarity_run-2_bold,
</pre>
<div class="chart-wrapper" id="chart-group15"></div>
<pre class="csvdata" id="data-csv15" style="display: none">
iqm,value,label,units
summary_bg_mean,2.72,sub-01_ses-1_task-encoding_run-1_bold,
summary_bg_mean,2.752,sub-01_ses-1_task-encoding_run-2_bold,
summary_bg_mean,2.7588,sub-01_ses-1_task-encoding_run-3_bold,
summary_bg_mean,2.7918,sub-01_ses-1_task-encoding_run-4_bold,
summary_bg_mean,2.8169,sub-01_ses-1_task-encoding_run-5_bold,
summary_bg_mean,2.8636,sub-01_ses-1_task-encoding_run-6_bold,
summary_bg_mean,2.8429,sub-01_ses-1_task-encoding_run-7_bold,
summary_bg_mean,2.8826,sub-01_ses-1_task-encoding_run-8_bold,
summary_bg_mean,2.6165,sub-01_ses-1_task-rest_run-1_bold,
summary_bg_mean,2.5819,sub-01_ses-1_task-similarity_run-1_bold,
summary_bg_mean,2.7119,sub-01_ses-1_task-similarity_run-2_bold,
summary_bg_mean,2.5416,sub-01_ses-2_task-encoding_run-1_bold,
summary_bg_mean,2.6276,sub-01_ses-2_task-encoding_run-2_bold,
summary_bg_mean,2.6523,sub-01_ses-2_task-encoding_run-3_bold,
summary_bg_mean,2.6552,sub-01_ses-2_task-encoding_run-4_bold,
summary_bg_mean,2.6794,sub-01_ses-2_task-encoding_run-5_bold,
summary_bg_mean,2.6764,sub-01_ses-2_task-encoding_run-6_bold,
summary_bg_mean,2.7563,sub-01_ses-2_task-encoding_run-7_bold,
summary_bg_mean,2.7668,sub-01_ses-2_task-encoding_run-8_bold,
summary_bg_mean,2.7806,sub-01_ses-2_task-rest_run-1_bold,
summary_bg_mean,2.7538,sub-01_ses-2_task-similarity_run-1_bold,
summary_bg_mean,2.7788,sub-01_ses-2_task-similarity_run-2_bold,
summary_bg_mean,2.84,sub-02_ses-1_task-encoding_run-1_bold,
summary_bg_mean,2.7974,sub-02_ses-1_task-encoding_run-2_bold,
summary_bg_mean,2.8069,sub-02_ses-1_task-encoding_run-3_bold,
summary_bg_mean,2.8517,sub-02_ses-1_task-encoding_run-4_bold,
summary_bg_mean,2.9044,sub-02_ses-1_task-encoding_run-5_bold,
summary_bg_mean,2.915,sub-02_ses-1_task-encoding_run-6_bold,
summary_bg_mean,2.9365,sub-02_ses-1_task-encoding_run-7_bold,
summary_bg_mean,2.9273,sub-02_ses-1_task-encoding_run-8_bold,
summary_bg_mean,2.5793,sub-02_ses-1_task-rest_run-1_bold,
summary_bg_mean,2.9648,sub-02_ses-1_task-rest_run-2_bold,
summary_bg_mean,2.6567,sub-02_ses-1_task-similarity_run-1_bold,
summary_bg_mean,2.669,sub-02_ses-1_task-similarity_run-2_bold,
summary_bg_mean,2.665,sub-02_ses-2_task-encoding_run-1_bold,
summary_bg_mean,2.6175,sub-02_ses-2_task-encoding_run-2_bold,
summary_bg_mean,2.6389,sub-02_ses-2_task-encoding_run-3_bold,
summary_bg_mean,2.7517,sub-02_ses-2_task-encoding_run-4_bold,
summary_bg_mean,2.6402,sub-02_ses-2_task-encoding_run-5_bold,
summary_bg_mean,2.748,sub-02_ses-2_task-encoding_run-6_bold,
summary_bg_mean,2.7519,sub-02_ses-2_task-encoding_run-7_bold,
summary_bg_mean,2.7171,sub-02_ses-2_task-encoding_run-8_bold,
summary_bg_mean,2.7924,sub-02_ses-2_task-rest_run-1_bold,
summary_bg_mean,2.6393,sub-02_ses-2_task-similarity_run-1_bold,
summary_bg_mean,2.6694,sub-02_ses-2_task-similarity_run-2_bold,
summary_bg_mean,2.9449,sub-03_ses-1_task-encoding_run-1_bold,
summary_bg_mean,2.9105,sub-03_ses-1_task-encoding_run-2_bold,
summary_bg_mean,2.994,sub-03_ses-1_task-encoding_run-3_bold,
summary_bg_mean,2.9402,sub-03_ses-1_task-encoding_run-4_bold,
summary_bg_mean,2.9969,sub-03_ses-1_task-encoding_run-5_bold,
summary_bg_mean,3.0823,sub-03_ses-1_task-encoding_run-6_bold,
summary_bg_mean,3.0138,sub-03_ses-1_task-encoding_run-7_bold,
summary_bg_mean,2.9569,sub-03_ses-1_task-encoding_run-8_bold,
summary_bg_mean,2.7138,sub-03_ses-1_task-rest_run-1_bold,
summary_bg_mean,2.9788,sub-03_ses-1_task-rest_run-2_bold,
summary_bg_mean,2.829,sub-03_ses-1_task-similarity_run-1_bold,
summary_bg_mean,2.8642,sub-03_ses-1_task-similarity_run-2_bold,
summary_bg_mean,2.9035,sub-03_ses-2_task-encoding_run-1_bold,
summary_bg_mean,2.8567,sub-03_ses-2_task-encoding_run-2_bold,
summary_bg_mean,2.8973,sub-03_ses-2_task-encoding_run-3_bold,
summary_bg_mean,2.8864,sub-03_ses-2_task-encoding_run-4_bold,
summary_bg_mean,2.9841,sub-03_ses-2_task-encoding_run-5_bold,
summary_bg_mean,2.9204,sub-03_ses-2_task-encoding_run-6_bold,
summary_bg_mean,2.9237,sub-03_ses-2_task-encoding_run-7_bold,
summary_bg_mean,2.922,sub-03_ses-2_task-encoding_run-8_bold,
summary_bg_mean,2.9897,sub-03_ses-2_task-rest_run-1_bold,
summary_bg_mean,3.0744,sub-03_ses-2_task-similarity_run-1_bold,
summary_bg_mean,2.9978,sub-03_ses-2_task-similarity_run-2_bold,
summary_bg_mean,2.8789,sub-04_ses-1_task-encoding_run-1_bold,
summary_bg_mean,2.9633,sub-04_ses-1_task-encoding_run-2_bold,
summary_bg_mean,2.9336,sub-04_ses-1_task-encoding_run-3_bold,
summary_bg_mean,2.9476,sub-04_ses-1_task-encoding_run-4_bold,
summary_bg_mean,2.9689,sub-04_ses-1_task-encoding_run-5_bold,
summary_bg_mean,2.9559,sub-04_ses-1_task-encoding_run-6_bold,
summary_bg_mean,2.9665,sub-04_ses-1_task-encoding_run-7_bold,
summary_bg_mean,2.9563,sub-04_ses-1_task-encoding_run-8_bold,
summary_bg_mean,2.7314,sub-04_ses-1_task-rest_run-1_bold,
summary_bg_mean,2.9842,sub-04_ses-1_task-rest_run-2_bold,
summary_bg_mean,2.7527,sub-04_ses-1_task-similarity_run-1_bold,
summary_bg_mean,2.8457,sub-04_ses-1_task-similarity_run-2_bold,
summary_bg_mean,2.725,sub-04_ses-2_task-encoding_run-1_bold,
summary_bg_mean,2.7336,sub-04_ses-2_task-encoding_run-2_bold,
summary_bg_mean,2.8316,sub-04_ses-2_task-encoding_run-3_bold,
summary_bg_mean,2.8162,sub-04_ses-2_task-encoding_run-4_bold,
summary_bg_mean,2.8204,sub-04_ses-2_task-encoding_run-5_bold,
summary_bg_mean,2.863,sub-04_ses-2_task-encoding_run-6_bold,
summary_bg_mean,2.9629,sub-04_ses-2_task-encoding_run-7_bold,
summary_bg_mean,3.0043,sub-04_ses-2_task-encoding_run-8_bold,
summary_bg_mean,3.0704,sub-04_ses-2_task-rest_run-1_bold,
summary_bg_mean,3.006,sub-04_ses-2_task-similarity_run-1_bold,
summary_bg_mean,3.0556,sub-04_ses-2_task-similarity_run-2_bold,
summary_bg_mean,3.1005,sub-06_ses-1_task-encoding_run-1_bold,
summary_bg_mean,3.0968,sub-06_ses-1_task-encoding_run-2_bold,
summary_bg_mean,3.1585,sub-06_ses-1_task-encoding_run-3_bold,
summary_bg_mean,3.2546,sub-06_ses-1_task-encoding_run-4_bold,
summary_bg_mean,3.2623,sub-06_ses-1_task-encoding_run-5_bold,
summary_bg_mean,3.4478,sub-06_ses-1_task-encoding_run-6_bold,
summary_bg_mean,3.5009,sub-06_ses-1_task-encoding_run-7_bold,
summary_bg_mean,3.4723,sub-06_ses-1_task-encoding_run-8_bold,
summary_bg_mean,2.8407,sub-06_ses-1_task-rest_run-1_bold,
summary_bg_mean,3.6038,sub-06_ses-1_task-rest_run-2_bold,
summary_bg_mean,2.8717,sub-06_ses-1_task-similarity_run-1_bold,
summary_bg_mean,2.9413,sub-06_ses-1_task-similarity_run-2_bold,
summary_bg_mean,2.8661,sub-06_ses-2_task-encoding_run-1_bold,
summary_bg_mean,2.8894,sub-06_ses-2_task-encoding_run-2_bold,
summary_bg_mean,2.9442,sub-06_ses-2_task-encoding_run-3_bold,
summary_bg_mean,3.0661,sub-06_ses-2_task-encoding_run-4_bold,
summary_bg_mean,3.0904,sub-06_ses-2_task-encoding_run-5_bold,
summary_bg_mean,3.1897,sub-06_ses-2_task-encoding_run-6_bold,
summary_bg_mean,3.2447,sub-06_ses-2_task-encoding_run-7_bold,
summary_bg_mean,3.2893,sub-06_ses-2_task-encoding_run-8_bold,
summary_bg_mean,3.4282,sub-06_ses-2_task-rest_run-1_bold,
summary_bg_mean,3.4523,sub-06_ses-2_task-similarity_run-1_bold,
summary_bg_mean,3.6832,sub-06_ses-2_task-similarity_run-2_bold,
summary_bg_mean,2.8748,sub-08_ses-1_task-encoding_run-1_bold,
summary_bg_mean,2.9893,sub-08_ses-1_task-encoding_run-2_bold,
summary_bg_mean,2.9876,sub-08_ses-1_task-encoding_run-3_bold,
summary_bg_mean,2.9859,sub-08_ses-1_task-encoding_run-4_bold,
summary_bg_mean,3.0125,sub-08_ses-1_task-encoding_run-5_bold,
summary_bg_mean,3.0663,sub-08_ses-1_task-encoding_run-6_bold,
summary_bg_mean,3.1225,sub-08_ses-1_task-encoding_run-7_bold,
summary_bg_mean,3.189,sub-08_ses-1_task-encoding_run-8_bold,
summary_bg_mean,2.6621,sub-08_ses-1_task-rest_run-1_bold,
summary_bg_mean,3.2026,sub-08_ses-1_task-rest_run-2_bold,
summary_bg_mean,2.7638,sub-08_ses-1_task-similarity_run-1_bold,
summary_bg_mean,2.8736,sub-08_ses-1_task-similarity_run-2_bold,
summary_bg_mean,2.6011,sub-08_ses-2_task-encoding_run-1_bold,
summary_bg_mean,2.7259,sub-08_ses-2_task-encoding_run-2_bold,
summary_bg_mean,2.7397,sub-08_ses-2_task-encoding_run-3_bold,
summary_bg_mean,2.7848,sub-08_ses-2_task-encoding_run-4_bold,
summary_bg_mean,2.7656,sub-08_ses-2_task-encoding_run-5_bold,
summary_bg_mean,2.8587,sub-08_ses-2_task-encoding_run-6_bold,
summary_bg_mean,2.8608,sub-08_ses-2_task-encoding_run-7_bold,
summary_bg_mean,2.886,sub-08_ses-2_task-encoding_run-8_bold,
summary_bg_mean,2.8659,sub-08_ses-2_task-rest_run-1_bold,
summary_bg_mean,2.9183,sub-08_ses-2_task-similarity_run-1_bold,
summary_bg_mean,2.9663,sub-08_ses-2_task-similarity_run-2_bold,
summary_bg_mean,3.0148,sub-09_ses-1_task-encoding_run-1_bold,
summary_bg_mean,3.0138,sub-09_ses-1_task-encoding_run-2_bold,
summary_bg_mean,3.0489,sub-09_ses-1_task-encoding_run-3_bold,
summary_bg_mean,3.0773,sub-09_ses-1_task-encoding_run-4_bold,
summary_bg_mean,3.0632,sub-09_ses-1_task-encoding_run-5_bold,
summary_bg_mean,3.1889,sub-09_ses-1_task-encoding_run-6_bold,
summary_bg_mean,3.1411,sub-09_ses-1_task-encoding_run-7_bold,
summary_bg_mean,3.1442,sub-09_ses-1_task-encoding_run-8_bold,
summary_bg_mean,2.7661,sub-09_ses-1_task-rest_run-1_bold,
summary_bg_mean,3.191,sub-09_ses-1_task-rest_run-2_bold,
summary_bg_mean,2.8912,sub-09_ses-1_task-similarity_run-1_bold,
summary_bg_mean,2.9154,sub-09_ses-1_task-similarity_run-2_bold,
summary_bg_mean,2.8272,sub-09_ses-2_task-encoding_run-1_bold,
summary_bg_mean,2.7943,sub-09_ses-2_task-encoding_run-2_bold,
summary_bg_mean,2.8959,sub-09_ses-2_task-encoding_run-3_bold,
summary_bg_mean,2.8553,sub-09_ses-2_task-encoding_run-4_bold,
summary_bg_mean,2.8665,sub-09_ses-2_task-encoding_run-5_bold,
summary_bg_mean,2.9328,sub-09_ses-2_task-encoding_run-6_bold,
summary_bg_mean,2.9973,sub-09_ses-2_task-encoding_run-7_bold,
summary_bg_mean,2.9947,sub-09_ses-2_task-encoding_run-8_bold,
summary_bg_mean,3.0744,sub-09_ses-2_task-rest_run-1_bold,
summary_bg_mean,3.0374,sub-09_ses-2_task-similarity_run-1_bold,
summary_bg_mean,3.0712,sub-09_ses-2_task-similarity_run-2_bold,
summary_bg_mean,2.8225,sub-10_ses-1_task-encoding_run-1_bold,
summary_bg_mean,2.8635,sub-10_ses-1_task-encoding_run-2_bold,
summary_bg_mean,2.8736,sub-10_ses-1_task-encoding_run-3_bold,
summary_bg_mean,2.912,sub-10_ses-1_task-encoding_run-4_bold,
summary_bg_mean,2.9291,sub-10_ses-1_task-encoding_run-5_bold,
summary_bg_mean,2.9864,sub-10_ses-1_task-encoding_run-6_bold,
summary_bg_mean,2.9984,sub-10_ses-1_task-encoding_run-7_bold,
summary_bg_mean,2.9933,sub-10_ses-1_task-encoding_run-8_bold,
summary_bg_mean,2.5994,sub-10_ses-1_task-rest_run-1_bold,
summary_bg_mean,3.0886,sub-10_ses-1_task-rest_run-2_bold,
summary_bg_mean,2.6767,sub-10_ses-1_task-similarity_run-1_bold,
summary_bg_mean,2.8036,sub-10_ses-1_task-similarity_run-2_bold,
summary_bg_mean,2.6085,sub-10_ses-2_task-encoding_run-1_bold,
summary_bg_mean,2.6356,sub-10_ses-2_task-encoding_run-2_bold,
summary_bg_mean,2.7026,sub-10_ses-2_task-encoding_run-3_bold,
summary_bg_mean,2.707,sub-10_ses-2_task-encoding_run-4_bold,
summary_bg_mean,2.7569,sub-10_ses-2_task-encoding_run-5_bold,
summary_bg_mean,2.754,sub-10_ses-2_task-encoding_run-6_bold,
summary_bg_mean,2.7612,sub-10_ses-2_task-encoding_run-7_bold,
summary_bg_mean,2.7965,sub-10_ses-2_task-encoding_run-8_bold,
summary_bg_mean,2.7998,sub-10_ses-2_task-rest_run-1_bold,
summary_bg_mean,2.825,sub-10_ses-2_task-similarity_run-1_bold,
summary_bg_mean,2.8812,sub-10_ses-2_task-similarity_run-2_bold,
summary_bg_mean,3.0859,sub-11_ses-1_task-encoding_run-1_bold,
summary_bg_mean,3.112,sub-11_ses-1_task-encoding_run-2_bold,
summary_bg_mean,3.1149,sub-11_ses-1_task-encoding_run-3_bold,
summary_bg_mean,3.1627,sub-11_ses-1_task-encoding_run-4_bold,
summary_bg_mean,3.2275,sub-11_ses-1_task-encoding_run-5_bold,
summary_bg_mean,3.2321,sub-11_ses-1_task-encoding_run-6_bold,
summary_bg_mean,3.2581,sub-11_ses-1_task-encoding_run-7_bold,
summary_bg_mean,3.2424,sub-11_ses-1_task-encoding_run-8_bold,
summary_bg_mean,2.8961,sub-11_ses-1_task-rest_run-1_bold,
summary_bg_mean,3.2543,sub-11_ses-1_task-rest_run-2_bold,
summary_bg_mean,2.9572,sub-11_ses-1_task-similarity_run-1_bold,
summary_bg_mean,3.0437,sub-11_ses-1_task-similarity_run-2_bold,
summary_bg_mean,2.9813,sub-11_ses-2_task-encoding_run-1_bold,
summary_bg_mean,3.066,sub-11_ses-2_task-encoding_run-2_bold,
summary_bg_mean,3.0491,sub-11_ses-2_task-encoding_run-3_bold,
summary_bg_mean,3.1477,sub-11_ses-2_task-encoding_run-4_bold,
summary_bg_mean,3.1903,sub-11_ses-2_task-encoding_run-5_bold,
summary_bg_mean,3.2034,sub-11_ses-2_task-encoding_run-6_bold,
summary_bg_mean,3.21,sub-11_ses-2_task-encoding_run-7_bold,
summary_bg_mean,3.1884,sub-11_ses-2_task-encoding_run-8_bold,
summary_bg_mean,3.283,sub-11_ses-2_task-rest_run-1_bold,
summary_bg_mean,3.3066,sub-11_ses-2_task-similarity_run-1_bold,
summary_bg_mean,3.3947,sub-11_ses-2_task-similarity_run-2_bold,
summary_bg_mean,2.7681,sub-13_ses-1_task-encoding_run-1_bold,
summary_bg_mean,2.7658,sub-13_ses-1_task-encoding_run-2_bold,
summary_bg_mean,2.7971,sub-13_ses-1_task-encoding_run-3_bold,
summary_bg_mean,2.773,sub-13_ses-1_task-encoding_run-4_bold,
summary_bg_mean,2.8066,sub-13_ses-1_task-encoding_run-5_bold,
summary_bg_mean,2.8264,sub-13_ses-1_task-encoding_run-6_bold,
summary_bg_mean,2.884,sub-13_ses-1_task-encoding_run-7_bold,
summary_bg_mean,2.8508,sub-13_ses-1_task-encoding_run-8_bold,
summary_bg_mean,2.5863,sub-13_ses-1_task-rest_run-1_bold,
summary_bg_mean,2.8573,sub-13_ses-1_task-rest_run-2_bold,
summary_bg_mean,2.629,sub-13_ses-1_task-similarity_run-1_bold,
summary_bg_mean,2.6857,sub-13_ses-1_task-similarity_run-2_bold,
summary_bg_mean,2.6078,sub-13_ses-2_task-encoding_run-1_bold,
summary_bg_mean,2.6624,sub-13_ses-2_task-encoding_run-2_bold,
summary_bg_mean,2.6656,sub-13_ses-2_task-encoding_run-3_bold,
summary_bg_mean,2.6843,sub-13_ses-2_task-encoding_run-4_bold,
summary_bg_mean,2.7476,sub-13_ses-2_task-encoding_run-5_bold,
summary_bg_mean,2.797,sub-13_ses-2_task-encoding_run-6_bold,
summary_bg_mean,2.8163,sub-13_ses-2_task-encoding_run-7_bold,
summary_bg_mean,2.8547,sub-13_ses-2_task-encoding_run-8_bold,
summary_bg_mean,2.8747,sub-13_ses-2_task-rest_run-1_bold,
summary_bg_mean,2.8828,sub-13_ses-2_task-similarity_run-1_bold,
summary_bg_mean,2.9257,sub-13_ses-2_task-similarity_run-2_bold,
summary_bg_mean,2.809,sub-14_ses-1_task-encoding_run-1_bold,
summary_bg_mean,2.8245,sub-14_ses-1_task-encoding_run-2_bold,
summary_bg_mean,2.8073,sub-14_ses-1_task-encoding_run-3_bold,
summary_bg_mean,2.8278,sub-14_ses-1_task-encoding_run-4_bold,
summary_bg_mean,2.8497,sub-14_ses-1_task-encoding_run-5_bold,
summary_bg_mean,2.8483,sub-14_ses-1_task-encoding_run-6_bold,
summary_bg_mean,2.9096,sub-14_ses-1_task-encoding_run-7_bold,
summary_bg_mean,2.9059,sub-14_ses-1_task-encoding_run-8_bold,
summary_bg_mean,2.714,sub-14_ses-1_task-rest_run-1_bold,
summary_bg_mean,2.8876,sub-14_ses-1_task-rest_run-2_bold,
summary_bg_mean,2.7376,sub-14_ses-1_task-similarity_run-1_bold,
summary_bg_mean,2.7776,sub-14_ses-1_task-similarity_run-2_bold,
summary_bg_mean,2.823,sub-14_ses-2_task-encoding_run-1_bold,
summary_bg_mean,2.9261,sub-14_ses-2_task-encoding_run-2_bold,
summary_bg_mean,2.9319,sub-14_ses-2_task-encoding_run-3_bold,
summary_bg_mean,2.9768,sub-14_ses-2_task-encoding_run-4_bold,
summary_bg_mean,2.956,sub-14_ses-2_task-encoding_run-5_bold,
summary_bg_mean,3.027,sub-14_ses-2_task-encoding_run-6_bold,
summary_bg_mean,3.0282,sub-14_ses-2_task-encoding_run-7_bold,
summary_bg_mean,3.0347,sub-14_ses-2_task-encoding_run-8_bold,
summary_bg_mean,3.0604,sub-14_ses-2_task-rest_run-1_bold,
summary_bg_mean,3.0156,sub-14_ses-2_task-similarity_run-1_bold,
summary_bg_mean,2.9864,sub-14_ses-2_task-similarity_run-2_bold,
summary_bg_mean,2.931,sub-16_ses-1_task-encoding_run-1_bold,
summary_bg_mean,3.0187,sub-16_ses-1_task-encoding_run-2_bold,
summary_bg_mean,3.0105,sub-16_ses-1_task-encoding_run-3_bold,
summary_bg_mean,3.0624,sub-16_ses-1_task-encoding_run-4_bold,
summary_bg_mean,3.1524,sub-16_ses-1_task-encoding_run-5_bold,
summary_bg_mean,3.1716,sub-16_ses-1_task-encoding_run-6_bold,
summary_bg_mean,3.1981,sub-16_ses-1_task-encoding_run-7_bold,
summary_bg_mean,3.207,sub-16_ses-1_task-encoding_run-8_bold,
summary_bg_mean,2.6912,sub-16_ses-1_task-rest_run-1_bold,
summary_bg_mean,3.2836,sub-16_ses-1_task-rest_run-2_bold,
summary_bg_mean,2.748,sub-16_ses-1_task-similarity_run-1_bold,
summary_bg_mean,2.8257,sub-16_ses-1_task-similarity_run-2_bold,
summary_bg_mean,2.7188,sub-16_ses-2_task-encoding_run-1_bold,
summary_bg_mean,2.7543,sub-16_ses-2_task-encoding_run-2_bold,
summary_bg_mean,2.7991,sub-16_ses-2_task-encoding_run-3_bold,
summary_bg_mean,2.8694,sub-16_ses-2_task-encoding_run-4_bold,
summary_bg_mean,2.9296,sub-16_ses-2_task-encoding_run-5_bold,
summary_bg_mean,2.998,sub-16_ses-2_task-encoding_run-6_bold,
summary_bg_mean,3.0188,sub-16_ses-2_task-encoding_run-7_bold,
summary_bg_mean,3.08,sub-16_ses-2_task-encoding_run-8_bold,
summary_bg_mean,3.1236,sub-16_ses-2_task-rest_run-1_bold,
summary_bg_mean,3.0257,sub-16_ses-2_task-similarity_run-1_bold,
summary_bg_mean,3.1983,sub-16_ses-2_task-similarity_run-2_bold,
summary_bg_mean,2.9945,sub-17_ses-1_task-encoding_run-1_bold,
summary_bg_mean,2.9986,sub-17_ses-1_task-encoding_run-2_bold,
summary_bg_mean,3.0646,sub-17_ses-1_task-encoding_run-3_bold,
summary_bg_mean,3.01,sub-17_ses-1_task-encoding_run-4_bold,
summary_bg_mean,3.0572,sub-17_ses-1_task-encoding_run-5_bold,
summary_bg_mean,3.1403,sub-17_ses-1_task-encoding_run-6_bold,
summary_bg_mean,3.1762,sub-17_ses-1_task-encoding_run-7_bold,
summary_bg_mean,3.1844,sub-17_ses-1_task-encoding_run-8_bold,
summary_bg_mean,2.798,sub-17_ses-1_task-rest_run-1_bold,
summary_bg_mean,3.1993,sub-17_ses-1_task-rest_run-2_bold,
summary_bg_mean,2.8558,sub-17_ses-1_task-similarity_run-1_bold,
summary_bg_mean,2.8795,sub-17_ses-1_task-similarity_run-2_bold,
summary_bg_mean,2.8251,sub-17_ses-2_task-encoding_run-1_bold,
summary_bg_mean,2.8984,sub-17_ses-2_task-encoding_run-2_bold,
summary_bg_mean,2.9093,sub-17_ses-2_task-encoding_run-3_bold,
summary_bg_mean,2.9708,sub-17_ses-2_task-encoding_run-4_bold,
summary_bg_mean,2.939,sub-17_ses-2_task-encoding_run-5_bold,
summary_bg_mean,3.0374,sub-17_ses-2_task-encoding_run-6_bold,
summary_bg_mean,3.0456,sub-17_ses-2_task-encoding_run-7_bold,
summary_bg_mean,3.1419,sub-17_ses-2_task-encoding_run-8_bold,
summary_bg_mean,3.1564,sub-17_ses-2_task-rest_run-1_bold,
summary_bg_mean,3.1018,sub-17_ses-2_task-similarity_run-1_bold,
summary_bg_mean,3.2107,sub-17_ses-2_task-similarity_run-2_bold,
summary_bg_mean,2.6337,sub-18_ses-1_task-encoding_run-1_bold,
summary_bg_mean,2.6809,sub-18_ses-1_task-encoding_run-2_bold,
summary_bg_mean,2.6864,sub-18_ses-1_task-encoding_run-3_bold,
summary_bg_mean,2.7442,sub-18_ses-1_task-encoding_run-4_bold,
summary_bg_mean,2.8422,sub-18_ses-1_task-encoding_run-5_bold,
summary_bg_mean,2.8567,sub-18_ses-1_task-encoding_run-6_bold,
summary_bg_mean,2.907,sub-18_ses-1_task-encoding_run-7_bold,
summary_bg_mean,2.9374,sub-18_ses-1_task-encoding_run-8_bold,
summary_bg_mean,2.412,sub-18_ses-1_task-rest_run-1_bold,
summary_bg_mean,2.9809,sub-18_ses-1_task-rest_run-2_bold,
summary_bg_mean,2.53,sub-18_ses-1_task-similarity_run-1_bold,
summary_bg_mean,2.6396,sub-18_ses-1_task-similarity_run-2_bold,
summary_bg_mean,2.4464,sub-18_ses-2_task-encoding_run-1_bold,
summary_bg_mean,2.5164,sub-18_ses-2_task-encoding_run-2_bold,
summary_bg_mean,2.5233,sub-18_ses-2_task-encoding_run-3_bold,
summary_bg_mean,2.5613,sub-18_ses-2_task-encoding_run-4_bold,
summary_bg_mean,2.6232,sub-18_ses-2_task-encoding_run-5_bold,
summary_bg_mean,2.6987,sub-18_ses-2_task-encoding_run-6_bold,
summary_bg_mean,2.7326,sub-18_ses-2_task-encoding_run-7_bold,
summary_bg_mean,2.7611,sub-18_ses-2_task-encoding_run-8_bold,
summary_bg_mean,2.8109,sub-18_ses-2_task-rest_run-1_bold,
summary_bg_mean,2.7479,sub-18_ses-2_task-similarity_run-1_bold,
summary_bg_mean,2.8749,sub-18_ses-2_task-similarity_run-2_bold,
summary_bg_mean,2.9695,sub-19_ses-1_task-encoding_run-1_bold,
summary_bg_mean,2.9834,sub-19_ses-1_task-encoding_run-2_bold,
summary_bg_mean,3.0497,sub-19_ses-1_task-encoding_run-3_bold,
summary_bg_mean,3.0468,sub-19_ses-1_task-encoding_run-4_bold,
summary_bg_mean,3.0712,sub-19_ses-1_task-encoding_run-5_bold,
summary_bg_mean,3.0868,sub-19_ses-1_task-encoding_run-6_bold,
summary_bg_mean,3.0684,sub-19_ses-1_task-encoding_run-7_bold,
summary_bg_mean,3.1275,sub-19_ses-1_task-encoding_run-8_bold,
summary_bg_mean,2.8168,sub-19_ses-1_task-rest_run-1_bold,
summary_bg_mean,3.1209,sub-19_ses-1_task-rest_run-2_bold,
summary_bg_mean,2.8737,sub-19_ses-1_task-similarity_run-1_bold,
summary_bg_mean,2.898,sub-19_ses-1_task-similarity_run-2_bold,
summary_bg_mean,2.8863,sub-19_ses-2_task-encoding_run-1_bold,
summary_bg_mean,2.9307,sub-19_ses-2_task-encoding_run-2_bold,
summary_bg_mean,2.9402,sub-19_ses-2_task-encoding_run-3_bold,
summary_bg_mean,2.9846,sub-19_ses-2_task-encoding_run-4_bold,
summary_bg_mean,3.0164,sub-19_ses-2_task-encoding_run-5_bold,
summary_bg_mean,3.0202,sub-19_ses-2_task-encoding_run-6_bold,
summary_bg_mean,3.079,sub-19_ses-2_task-encoding_run-7_bold,
summary_bg_mean,3.0724,sub-19_ses-2_task-encoding_run-8_bold,
summary_bg_mean,3.1028,sub-19_ses-2_task-rest_run-1_bold,
summary_bg_mean,3.1104,sub-19_ses-2_task-similarity_run-1_bold,
summary_bg_mean,3.1892,sub-19_ses-2_task-similarity_run-2_bold,
summary_bg_mean,2.885,sub-20_ses-1_task-encoding_run-1_bold,
summary_bg_mean,2.907,sub-20_ses-1_task-encoding_run-2_bold,
summary_bg_mean,2.9127,sub-20_ses-1_task-encoding_run-3_bold,
summary_bg_mean,2.9767,sub-20_ses-1_task-encoding_run-4_bold,
summary_bg_mean,2.967,sub-20_ses-1_task-encoding_run-5_bold,
summary_bg_mean,3.0777,sub-20_ses-1_task-encoding_run-6_bold,
summary_bg_mean,3.0629,sub-20_ses-1_task-encoding_run-7_bold,
summary_bg_mean,3.1254,sub-20_ses-1_task-encoding_run-8_bold,
summary_bg_mean,2.6618,sub-20_ses-1_task-rest_run-1_bold,
summary_bg_mean,3.1039,sub-20_ses-1_task-rest_run-2_bold,
summary_bg_mean,2.7165,sub-20_ses-1_task-similarity_run-1_bold,
summary_bg_mean,2.8423,sub-20_ses-1_task-similarity_run-2_bold,
summary_bg_mean,2.7206,sub-20_ses-2_task-encoding_run-1_bold,
summary_bg_mean,2.7951,sub-20_ses-2_task-encoding_run-2_bold,
summary_bg_mean,2.8438,sub-20_ses-2_task-encoding_run-3_bold,
summary_bg_mean,2.8328,sub-20_ses-2_task-encoding_run-4_bold,
summary_bg_mean,2.8693,sub-20_ses-2_task-encoding_run-5_bold,
summary_bg_mean,2.889,sub-20_ses-2_task-encoding_run-6_bold,
summary_bg_mean,2.9233,sub-20_ses-2_task-encoding_run-7_bold,
summary_bg_mean,2.9641,sub-20_ses-2_task-encoding_run-8_bold,
summary_bg_mean,2.9834,sub-20_ses-2_task-rest_run-1_bold,
summary_bg_mean,2.9649,sub-20_ses-2_task-similarity_run-1_bold,
summary_bg_mean,3.036,sub-20_ses-2_task-similarity_run-2_bold,
summary_bg_mean,3.1074,sub-25_ses-1_task-encoding_run-1_bold,
summary_bg_mean,3.108,sub-25_ses-1_task-encoding_run-2_bold,
summary_bg_mean,3.1479,sub-25_ses-1_task-encoding_run-3_bold,
summary_bg_mean,3.1597,sub-25_ses-1_task-encoding_run-4_bold,
summary_bg_mean,3.1929,sub-25_ses-1_task-encoding_run-5_bold,
summary_bg_mean,3.1923,sub-25_ses-1_task-encoding_run-6_bold,
summary_bg_mean,3.2595,sub-25_ses-1_task-encoding_run-7_bold,
summary_bg_mean,3.2487,sub-25_ses-1_task-encoding_run-8_bold,
summary_bg_mean,3.0757,sub-25_ses-1_task-rest_run-1_bold,
summary_bg_mean,3.2682,sub-25_ses-1_task-rest_run-2_bold,
summary_bg_mean,3.0904,sub-25_ses-1_task-similarity_run-1_bold,
summary_bg_mean,2.9776,sub-25_ses-1_task-similarity_run-2_bold,
summary_bg_mean,3.1063,sub-25_ses-2_task-encoding_run-1_bold,
summary_bg_mean,3.1762,sub-25_ses-2_task-encoding_run-2_bold,
summary_bg_mean,3.2139,sub-25_ses-2_task-encoding_run-3_bold,
summary_bg_mean,3.1763,sub-25_ses-2_task-encoding_run-4_bold,
summary_bg_mean,3.2479,sub-25_ses-2_task-encoding_run-5_bold,
summary_bg_mean,3.2142,sub-25_ses-2_task-encoding_run-6_bold,
summary_bg_mean,3.2765,sub-25_ses-2_task-encoding_run-7_bold,
summary_bg_mean,3.2888,sub-25_ses-2_task-encoding_run-8_bold,
summary_bg_mean,3.2624,sub-25_ses-2_task-rest_run-1_bold,
summary_bg_mean,3.2399,sub-25_ses-2_task-similarity_run-1_bold,
summary_bg_mean,3.2872,sub-25_ses-2_task-similarity_run-2_bold,
summary_bg_mean,3.0031,sub-26_ses-1_task-encoding_run-1_bold,
summary_bg_mean,3.0407,sub-26_ses-1_task-encoding_run-2_bold,
summary_bg_mean,3.0539,sub-26_ses-1_task-encoding_run-3_bold,
summary_bg_mean,3.1055,sub-26_ses-1_task-encoding_run-4_bold,
summary_bg_mean,3.1465,sub-26_ses-1_task-encoding_run-5_bold,
summary_bg_mean,3.1721,sub-26_ses-1_task-encoding_run-6_bold,
summary_bg_mean,3.2046,sub-26_ses-1_task-encoding_run-7_bold,
summary_bg_mean,3.2189,sub-26_ses-1_task-encoding_run-8_bold,
summary_bg_mean,2.7856,sub-26_ses-1_task-rest_run-1_bold,
summary_bg_mean,3.2097,sub-26_ses-1_task-rest_run-2_bold,
summary_bg_mean,2.8296,sub-26_ses-1_task-similarity_run-1_bold,
summary_bg_mean,2.9176,sub-26_ses-1_task-similarity_run-2_bold,
summary_bg_mean,2.6066,sub-26_ses-2_task-encoding_run-1_bold,
summary_bg_mean,2.6982,sub-26_ses-2_task-encoding_run-2_bold,
summary_bg_mean,2.7073,sub-26_ses-2_task-encoding_run-3_bold,
summary_bg_mean,2.7816,sub-26_ses-2_task-encoding_run-4_bold,
summary_bg_mean,2.7746,sub-26_ses-2_task-encoding_run-5_bold,
summary_bg_mean,2.7745,sub-26_ses-2_task-encoding_run-6_bold,
summary_bg_mean,2.8726,sub-26_ses-2_task-encoding_run-7_bold,
summary_bg_mean,2.8787,sub-26_ses-2_task-encoding_run-8_bold,
summary_bg_mean,2.9048,sub-26_ses-2_task-rest_run-1_bold,
summary_bg_mean,2.8507,sub-26_ses-2_task-similarity_run-1_bold,
summary_bg_mean,2.9137,sub-26_ses-2_task-similarity_run-2_bold,
summary_bg_mean,3.494,sub-27_ses-1_task-encoding_run-1_bold,
summary_bg_mean,3.4839,sub-27_ses-1_task-encoding_run-2_bold,
summary_bg_mean,3.5518,sub-27_ses-1_task-encoding_run-3_bold,
summary_bg_mean,3.578,sub-27_ses-1_task-encoding_run-4_bold,
summary_bg_mean,3.594,sub-27_ses-1_task-encoding_run-5_bold,
summary_bg_mean,3.592,sub-27_ses-1_task-encoding_run-6_bold,
summary_bg_mean,3.7031,sub-27_ses-1_task-encoding_run-7_bold,
summary_bg_mean,3.6514,sub-27_ses-1_task-encoding_run-8_bold,
summary_bg_mean,3.2906,sub-27_ses-1_task-rest_run-1_bold,
summary_bg_mean,3.673,sub-27_ses-1_task-rest_run-2_bold,
summary_bg_mean,3.3355,sub-27_ses-1_task-similarity_run-1_bold,
summary_bg_mean,3.3939,sub-27_ses-1_task-similarity_run-2_bold,
summary_bg_mean,3.1606,sub-27_ses-2_task-encoding_run-1_bold,
summary_bg_mean,3.243,sub-27_ses-2_task-encoding_run-2_bold,
summary_bg_mean,3.2987,sub-27_ses-2_task-encoding_run-3_bold,
summary_bg_mean,3.3589,sub-27_ses-2_task-encoding_run-4_bold,
summary_bg_mean,3.3564,sub-27_ses-2_task-encoding_run-5_bold,
summary_bg_mean,3.3913,sub-27_ses-2_task-encoding_run-6_bold,
summary_bg_mean,3.4162,sub-27_ses-2_task-encoding_run-7_bold,
summary_bg_mean,3.4244,sub-27_ses-2_task-encoding_run-8_bold,
summary_bg_mean,3.4447,sub-27_ses-2_task-rest_run-1_bold,
summary_bg_mean,3.3876,sub-27_ses-2_task-similarity_run-1_bold,
summary_bg_mean,3.4157,sub-27_ses-2_task-similarity_run-2_bold,
summary_bg_mean,2.9436,sub-28_ses-1_task-encoding_run-1_bold,
summary_bg_mean,2.9994,sub-28_ses-1_task-encoding_run-2_bold,
summary_bg_mean,3.0173,sub-28_ses-1_task-encoding_run-3_bold,
summary_bg_mean,3.0149,sub-28_ses-1_task-encoding_run-4_bold,
summary_bg_mean,3.0032,sub-28_ses-1_task-encoding_run-5_bold,
summary_bg_mean,3.0876,sub-28_ses-1_task-encoding_run-6_bold,
summary_bg_mean,3.1009,sub-28_ses-1_task-encoding_run-7_bold,
summary_bg_mean,3.1148,sub-28_ses-1_task-encoding_run-8_bold,
summary_bg_mean,2.7405,sub-28_ses-1_task-rest_run-1_bold,
summary_bg_mean,3.1565,sub-28_ses-1_task-rest_run-2_bold,
summary_bg_mean,2.7966,sub-28_ses-1_task-similarity_run-1_bold,
summary_bg_mean,2.8958,sub-28_ses-1_task-similarity_run-2_bold,
summary_bg_mean,2.521,sub-28_ses-2_task-encoding_run-1_bold,
summary_bg_mean,2.5959,sub-28_ses-2_task-encoding_run-2_bold,
summary_bg_mean,2.6444,sub-28_ses-2_task-encoding_run-3_bold,
summary_bg_mean,2.7166,sub-28_ses-2_task-encoding_run-4_bold,
summary_bg_mean,2.7371,sub-28_ses-2_task-encoding_run-5_bold,
summary_bg_mean,2.8019,sub-28_ses-2_task-encoding_run-6_bold,
summary_bg_mean,2.8215,sub-28_ses-2_task-encoding_run-7_bold,
summary_bg_mean,2.9306,sub-28_ses-2_task-encoding_run-8_bold,
summary_bg_mean,2.9233,sub-28_ses-2_task-rest_run-1_bold,
summary_bg_mean,2.9247,sub-28_ses-2_task-similarity_run-1_bold,
summary_bg_mean,3.0059,sub-28_ses-2_task-similarity_run-2_bold,
summary_bg_stdv,3.8249,sub-01_ses-1_task-encoding_run-1_bold,
summary_bg_stdv,3.8628,sub-01_ses-1_task-encoding_run-2_bold,
summary_bg_stdv,3.8783,sub-01_ses-1_task-encoding_run-3_bold,
summary_bg_stdv,3.8514,sub-01_ses-1_task-encoding_run-4_bold,
summary_bg_stdv,3.8582,sub-01_ses-1_task-encoding_run-5_bold,
summary_bg_stdv,3.9003,sub-01_ses-1_task-encoding_run-6_bold,
summary_bg_stdv,3.8679,sub-01_ses-1_task-encoding_run-7_bold,
summary_bg_stdv,3.9523,sub-01_ses-1_task-encoding_run-8_bold,
summary_bg_stdv,3.6989,sub-01_ses-1_task-rest_run-1_bold,
summary_bg_stdv,3.6846,sub-01_ses-1_task-similarity_run-1_bold,
summary_bg_stdv,3.8318,sub-01_ses-1_task-similarity_run-2_bold,
summary_bg_stdv,3.574,sub-01_ses-2_task-encoding_run-1_bold,
summary_bg_stdv,3.7094,sub-01_ses-2_task-encoding_run-2_bold,
summary_bg_stdv,3.8128,sub-01_ses-2_task-encoding_run-3_bold,
summary_bg_stdv,3.787,sub-01_ses-2_task-encoding_run-4_bold,
summary_bg_stdv,3.6065,sub-01_ses-2_task-encoding_run-5_bold,
summary_bg_stdv,3.6743,sub-01_ses-2_task-encoding_run-6_bold,
summary_bg_stdv,3.7411,sub-01_ses-2_task-encoding_run-7_bold,
summary_bg_stdv,3.673,sub-01_ses-2_task-encoding_run-8_bold,
summary_bg_stdv,3.708,sub-01_ses-2_task-rest_run-1_bold,
summary_bg_stdv,3.7334,sub-01_ses-2_task-similarity_run-1_bold,
summary_bg_stdv,3.752,sub-01_ses-2_task-similarity_run-2_bold,
summary_bg_stdv,3.658,sub-02_ses-1_task-encoding_run-1_bold,
summary_bg_stdv,3.7346,sub-02_ses-1_task-encoding_run-2_bold,
summary_bg_stdv,3.6603,sub-02_ses-1_task-encoding_run-3_bold,
summary_bg_stdv,3.7215,sub-02_ses-1_task-encoding_run-4_bold,
summary_bg_stdv,3.7566,sub-02_ses-1_task-encoding_run-5_bold,
summary_bg_stdv,3.76,sub-02_ses-1_task-encoding_run-6_bold,
summary_bg_stdv,3.8014,sub-02_ses-1_task-encoding_run-7_bold,
summary_bg_stdv,3.7466,sub-02_ses-1_task-encoding_run-8_bold,
summary_bg_stdv,3.4791,sub-02_ses-1_task-rest_run-1_bold,
summary_bg_stdv,3.6902,sub-02_ses-1_task-rest_run-2_bold,
summary_bg_stdv,3.5698,sub-02_ses-1_task-similarity_run-1_bold,
summary_bg_stdv,3.5529,sub-02_ses-1_task-similarity_run-2_bold,
summary_bg_stdv,3.6771,sub-02_ses-2_task-encoding_run-1_bold,
summary_bg_stdv,3.643,sub-02_ses-2_task-encoding_run-2_bold,
summary_bg_stdv,3.6221,sub-02_ses-2_task-encoding_run-3_bold,
summary_bg_stdv,3.6986,sub-02_ses-2_task-encoding_run-4_bold,
summary_bg_stdv,3.637,sub-02_ses-2_task-encoding_run-5_bold,
summary_bg_stdv,3.6864,sub-02_ses-2_task-encoding_run-6_bold,
summary_bg_stdv,3.7002,sub-02_ses-2_task-encoding_run-7_bold,
summary_bg_stdv,3.6869,sub-02_ses-2_task-encoding_run-8_bold,
summary_bg_stdv,3.7135,sub-02_ses-2_task-rest_run-1_bold,
summary_bg_stdv,3.7037,sub-02_ses-2_task-similarity_run-1_bold,
summary_bg_stdv,3.777,sub-02_ses-2_task-similarity_run-2_bold,
summary_bg_stdv,3.761,sub-03_ses-1_task-encoding_run-1_bold,
summary_bg_stdv,3.7622,sub-03_ses-1_task-encoding_run-2_bold,
summary_bg_stdv,3.8392,sub-03_ses-1_task-encoding_run-3_bold,
summary_bg_stdv,3.8206,sub-03_ses-1_task-encoding_run-4_bold,
summary_bg_stdv,3.7747,sub-03_ses-1_task-encoding_run-5_bold,
summary_bg_stdv,3.7901,sub-03_ses-1_task-encoding_run-6_bold,
summary_bg_stdv,3.7775,sub-03_ses-1_task-encoding_run-7_bold,
summary_bg_stdv,3.7622,sub-03_ses-1_task-encoding_run-8_bold,
summary_bg_stdv,3.4278,sub-03_ses-1_task-rest_run-1_bold,
summary_bg_stdv,3.8035,sub-03_ses-1_task-rest_run-2_bold,
summary_bg_stdv,3.7176,sub-03_ses-1_task-similarity_run-1_bold,
summary_bg_stdv,3.8015,sub-03_ses-1_task-similarity_run-2_bold,
summary_bg_stdv,3.7099,sub-03_ses-2_task-encoding_run-1_bold,
summary_bg_stdv,3.6973,sub-03_ses-2_task-encoding_run-2_bold,
summary_bg_stdv,3.6583,sub-03_ses-2_task-encoding_run-3_bold,
summary_bg_stdv,3.6718,sub-03_ses-2_task-encoding_run-4_bold,
summary_bg_stdv,3.8181,sub-03_ses-2_task-encoding_run-5_bold,
summary_bg_stdv,3.8109,sub-03_ses-2_task-encoding_run-6_bold,
summary_bg_stdv,3.8188,sub-03_ses-2_task-encoding_run-7_bold,
summary_bg_stdv,3.8119,sub-03_ses-2_task-encoding_run-8_bold,
summary_bg_stdv,3.8305,sub-03_ses-2_task-rest_run-1_bold,
summary_bg_stdv,3.9165,sub-03_ses-2_task-similarity_run-1_bold,
summary_bg_stdv,3.8726,sub-03_ses-2_task-similarity_run-2_bold,
summary_bg_stdv,4.4473,sub-04_ses-1_task-encoding_run-1_bold,
summary_bg_stdv,4.5361,sub-04_ses-1_task-encoding_run-2_bold,
summary_bg_stdv,4.5607,sub-04_ses-1_task-encoding_run-3_bold,
summary_bg_stdv,4.5738,sub-04_ses-1_task-encoding_run-4_bold,
summary_bg_stdv,4.5734,sub-04_ses-1_task-encoding_run-5_bold,
summary_bg_stdv,4.554,sub-04_ses-1_task-encoding_run-6_bold,
summary_bg_stdv,4.5738,sub-04_ses-1_task-encoding_run-7_bold,
summary_bg_stdv,4.5527,sub-04_ses-1_task-encoding_run-8_bold,
summary_bg_stdv,4.457,sub-04_ses-1_task-rest_run-1_bold,
summary_bg_stdv,4.5628,sub-04_ses-1_task-rest_run-2_bold,
summary_bg_stdv,4.5359,sub-04_ses-1_task-similarity_run-1_bold,
summary_bg_stdv,4.6269,sub-04_ses-1_task-similarity_run-2_bold,
summary_bg_stdv,4.3273,sub-04_ses-2_task-encoding_run-1_bold,
summary_bg_stdv,4.5427,sub-04_ses-2_task-encoding_run-2_bold,
summary_bg_stdv,4.6339,sub-04_ses-2_task-encoding_run-3_bold,
summary_bg_stdv,4.6818,sub-04_ses-2_task-encoding_run-4_bold,
summary_bg_stdv,4.6945,sub-04_ses-2_task-encoding_run-5_bold,
summary_bg_stdv,4.7244,sub-04_ses-2_task-encoding_run-6_bold,
summary_bg_stdv,4.7656,sub-04_ses-2_task-encoding_run-7_bold,
summary_bg_stdv,4.77,sub-04_ses-2_task-encoding_run-8_bold,
summary_bg_stdv,4.78,sub-04_ses-2_task-rest_run-1_bold,
summary_bg_stdv,4.802,sub-04_ses-2_task-similarity_run-1_bold,
summary_bg_stdv,4.7941,sub-04_ses-2_task-similarity_run-2_bold,
summary_bg_stdv,3.8208,sub-06_ses-1_task-encoding_run-1_bold,
summary_bg_stdv,3.8478,sub-06_ses-1_task-encoding_run-2_bold,
summary_bg_stdv,3.8989,sub-06_ses-1_task-encoding_run-3_bold,
summary_bg_stdv,3.9907,sub-06_ses-1_task-encoding_run-4_bold,
summary_bg_stdv,3.9619,sub-06_ses-1_task-encoding_run-5_bold,
summary_bg_stdv,4.3007,sub-06_ses-1_task-encoding_run-6_bold,
summary_bg_stdv,4.3498,sub-06_ses-1_task-encoding_run-7_bold,
summary_bg_stdv,4.3688,sub-06_ses-1_task-encoding_run-8_bold,
summary_bg_stdv,3.7324,sub-06_ses-1_task-rest_run-1_bold,
summary_bg_stdv,4.4791,sub-06_ses-1_task-rest_run-2_bold,
summary_bg_stdv,3.7263,sub-06_ses-1_task-similarity_run-1_bold,
summary_bg_stdv,3.8145,sub-06_ses-1_task-similarity_run-2_bold,
summary_bg_stdv,3.7304,sub-06_ses-2_task-encoding_run-1_bold,
summary_bg_stdv,3.8072,sub-06_ses-2_task-encoding_run-2_bold,
summary_bg_stdv,3.7834,sub-06_ses-2_task-encoding_run-3_bold,
summary_bg_stdv,3.8722,sub-06_ses-2_task-encoding_run-4_bold,
summary_bg_stdv,3.9066,sub-06_ses-2_task-encoding_run-5_bold,
summary_bg_stdv,3.9642,sub-06_ses-2_task-encoding_run-6_bold,
summary_bg_stdv,4.0383,sub-06_ses-2_task-encoding_run-7_bold,
summary_bg_stdv,4.1152,sub-06_ses-2_task-encoding_run-8_bold,
summary_bg_stdv,4.2403,sub-06_ses-2_task-rest_run-1_bold,
summary_bg_stdv,4.2837,sub-06_ses-2_task-similarity_run-1_bold,
summary_bg_stdv,4.5511,sub-06_ses-2_task-similarity_run-2_bold,
summary_bg_stdv,4.2012,sub-08_ses-1_task-encoding_run-1_bold,
summary_bg_stdv,4.2866,sub-08_ses-1_task-encoding_run-2_bold,
summary_bg_stdv,4.2942,sub-08_ses-1_task-encoding_run-3_bold,
summary_bg_stdv,4.2412,sub-08_ses-1_task-encoding_run-4_bold,
summary_bg_stdv,4.2825,sub-08_ses-1_task-encoding_run-5_bold,
summary_bg_stdv,4.3862,sub-08_ses-1_task-encoding_run-6_bold,
summary_bg_stdv,4.4002,sub-08_ses-1_task-encoding_run-7_bold,
summary_bg_stdv,4.5032,sub-08_ses-1_task-encoding_run-8_bold,
summary_bg_stdv,3.9367,sub-08_ses-1_task-rest_run-1_bold,
summary_bg_stdv,4.4693,sub-08_ses-1_task-rest_run-2_bold,
summary_bg_stdv,4.1377,sub-08_ses-1_task-similarity_run-1_bold,
summary_bg_stdv,4.2143,sub-08_ses-1_task-similarity_run-2_bold,
summary_bg_stdv,3.8605,sub-08_ses-2_task-encoding_run-1_bold,
summary_bg_stdv,3.998,sub-08_ses-2_task-encoding_run-2_bold,
summary_bg_stdv,4.0435,sub-08_ses-2_task-encoding_run-3_bold,
summary_bg_stdv,4.1051,sub-08_ses-2_task-encoding_run-4_bold,
summary_bg_stdv,4.0736,sub-08_ses-2_task-encoding_run-5_bold,
summary_bg_stdv,4.1763,sub-08_ses-2_task-encoding_run-6_bold,
summary_bg_stdv,4.1576,sub-08_ses-2_task-encoding_run-7_bold,
summary_bg_stdv,4.1404,sub-08_ses-2_task-encoding_run-8_bold,
summary_bg_stdv,4.0968,sub-08_ses-2_task-rest_run-1_bold,
summary_bg_stdv,4.091,sub-08_ses-2_task-similarity_run-1_bold,
summary_bg_stdv,4.164,sub-08_ses-2_task-similarity_run-2_bold,
summary_bg_stdv,4.8014,sub-09_ses-1_task-encoding_run-1_bold,
summary_bg_stdv,4.8446,sub-09_ses-1_task-encoding_run-2_bold,
summary_bg_stdv,4.9494,sub-09_ses-1_task-encoding_run-3_bold,
summary_bg_stdv,4.8983,sub-09_ses-1_task-encoding_run-4_bold,
summary_bg_stdv,4.8471,sub-09_ses-1_task-encoding_run-5_bold,
summary_bg_stdv,4.9965,sub-09_ses-1_task-encoding_run-6_bold,
summary_bg_stdv,4.9213,sub-09_ses-1_task-encoding_run-7_bold,
summary_bg_stdv,4.8944,sub-09_ses-1_task-encoding_run-8_bold,
summary_bg_stdv,4.5991,sub-09_ses-1_task-rest_run-1_bold,
summary_bg_stdv,4.9517,sub-09_ses-1_task-rest_run-2_bold,
summary_bg_stdv,4.7679,sub-09_ses-1_task-similarity_run-1_bold,
summary_bg_stdv,4.7648,sub-09_ses-1_task-similarity_run-2_bold,
summary_bg_stdv,4.5502,sub-09_ses-2_task-encoding_run-1_bold,
summary_bg_stdv,4.5329,sub-09_ses-2_task-encoding_run-2_bold,
summary_bg_stdv,4.6977,sub-09_ses-2_task-encoding_run-3_bold,
summary_bg_stdv,4.659,sub-09_ses-2_task-encoding_run-4_bold,
summary_bg_stdv,4.6743,sub-09_ses-2_task-encoding_run-5_bold,
summary_bg_stdv,4.7364,sub-09_ses-2_task-encoding_run-6_bold,
summary_bg_stdv,4.889,sub-09_ses-2_task-encoding_run-7_bold,
summary_bg_stdv,4.8465,sub-09_ses-2_task-encoding_run-8_bold,
summary_bg_stdv,4.8904,sub-09_ses-2_task-rest_run-1_bold,
summary_bg_stdv,4.8473,sub-09_ses-2_task-similarity_run-1_bold,
summary_bg_stdv,4.8071,sub-09_ses-2_task-similarity_run-2_bold,
summary_bg_stdv,4.3554,sub-10_ses-1_task-encoding_run-1_bold,
summary_bg_stdv,4.3781,sub-10_ses-1_task-encoding_run-2_bold,
summary_bg_stdv,4.3702,sub-10_ses-1_task-encoding_run-3_bold,
summary_bg_stdv,4.4077,sub-10_ses-1_task-encoding_run-4_bold,
summary_bg_stdv,4.3982,sub-10_ses-1_task-encoding_run-5_bold,
summary_bg_stdv,4.4067,sub-10_ses-1_task-encoding_run-6_bold,
summary_bg_stdv,4.4076,sub-10_ses-1_task-encoding_run-7_bold,
summary_bg_stdv,4.4236,sub-10_ses-1_task-encoding_run-8_bold,
summary_bg_stdv,4.1428,sub-10_ses-1_task-rest_run-1_bold,
summary_bg_stdv,4.499,sub-10_ses-1_task-rest_run-2_bold,
summary_bg_stdv,4.2707,sub-10_ses-1_task-similarity_run-1_bold,
summary_bg_stdv,4.3956,sub-10_ses-1_task-similarity_run-2_bold,
summary_bg_stdv,4.1522,sub-10_ses-2_task-encoding_run-1_bold,
summary_bg_stdv,4.2558,sub-10_ses-2_task-encoding_run-2_bold,
summary_bg_stdv,4.2977,sub-10_ses-2_task-encoding_run-3_bold,
summary_bg_stdv,4.273,sub-10_ses-2_task-encoding_run-4_bold,
summary_bg_stdv,4.2891,sub-10_ses-2_task-encoding_run-5_bold,
summary_bg_stdv,4.2488,sub-10_ses-2_task-encoding_run-6_bold,
summary_bg_stdv,4.2827,sub-10_ses-2_task-encoding_run-7_bold,
summary_bg_stdv,4.3046,sub-10_ses-2_task-encoding_run-8_bold,
summary_bg_stdv,4.2799,sub-10_ses-2_task-rest_run-1_bold,
summary_bg_stdv,4.3109,sub-10_ses-2_task-similarity_run-1_bold,
summary_bg_stdv,4.3601,sub-10_ses-2_task-similarity_run-2_bold,
summary_bg_stdv,4.3769,sub-11_ses-1_task-encoding_run-1_bold,
summary_bg_stdv,4.3832,sub-11_ses-1_task-encoding_run-2_bold,
summary_bg_stdv,4.3917,sub-11_ses-1_task-encoding_run-3_bold,
summary_bg_stdv,4.4608,sub-11_ses-1_task-encoding_run-4_bold,
summary_bg_stdv,4.5534,sub-11_ses-1_task-encoding_run-5_bold,
summary_bg_stdv,4.4923,sub-11_ses-1_task-encoding_run-6_bold,
summary_bg_stdv,4.4796,sub-11_ses-1_task-encoding_run-7_bold,
summary_bg_stdv,4.5608,sub-11_ses-1_task-encoding_run-8_bold,
summary_bg_stdv,4.12,sub-11_ses-1_task-rest_run-1_bold,
summary_bg_stdv,4.4984,sub-11_ses-1_task-rest_run-2_bold,
summary_bg_stdv,4.2928,sub-11_ses-1_task-similarity_run-1_bold,
summary_bg_stdv,4.3436,sub-11_ses-1_task-similarity_run-2_bold,
summary_bg_stdv,4.4174,sub-11_ses-2_task-encoding_run-1_bold,
summary_bg_stdv,4.5479,sub-11_ses-2_task-encoding_run-2_bold,
summary_bg_stdv,4.5464,sub-11_ses-2_task-encoding_run-3_bold,
summary_bg_stdv,4.6621,sub-11_ses-2_task-encoding_run-4_bold,
summary_bg_stdv,4.6211,sub-11_ses-2_task-encoding_run-5_bold,
summary_bg_stdv,4.6997,sub-11_ses-2_task-encoding_run-6_bold,
summary_bg_stdv,4.7241,sub-11_ses-2_task-encoding_run-7_bold,
summary_bg_stdv,4.7247,sub-11_ses-2_task-encoding_run-8_bold,
summary_bg_stdv,4.7254,sub-11_ses-2_task-rest_run-1_bold,
summary_bg_stdv,4.776,sub-11_ses-2_task-similarity_run-1_bold,
summary_bg_stdv,4.8656,sub-11_ses-2_task-similarity_run-2_bold,
summary_bg_stdv,4.2932,sub-13_ses-1_task-encoding_run-1_bold,
summary_bg_stdv,4.2874,sub-13_ses-1_task-encoding_run-2_bold,
summary_bg_stdv,4.3176,sub-13_ses-1_task-encoding_run-3_bold,
summary_bg_stdv,4.3055,sub-13_ses-1_task-encoding_run-4_bold,
summary_bg_stdv,4.3438,sub-13_ses-1_task-encoding_run-5_bold,
summary_bg_stdv,4.3689,sub-13_ses-1_task-encoding_run-6_bold,
summary_bg_stdv,4.3857,sub-13_ses-1_task-encoding_run-7_bold,
summary_bg_stdv,4.3663,sub-13_ses-1_task-encoding_run-8_bold,
summary_bg_stdv,4.0781,sub-13_ses-1_task-rest_run-1_bold,
summary_bg_stdv,4.3149,sub-13_ses-1_task-rest_run-2_bold,
summary_bg_stdv,4.2142,sub-13_ses-1_task-similarity_run-1_bold,
summary_bg_stdv,4.2631,sub-13_ses-1_task-similarity_run-2_bold,
summary_bg_stdv,4.2655,sub-13_ses-2_task-encoding_run-1_bold,
summary_bg_stdv,4.3261,sub-13_ses-2_task-encoding_run-2_bold,
summary_bg_stdv,4.3176,sub-13_ses-2_task-encoding_run-3_bold,
summary_bg_stdv,4.3183,sub-13_ses-2_task-encoding_run-4_bold,
summary_bg_stdv,4.3487,sub-13_ses-2_task-encoding_run-5_bold,
summary_bg_stdv,4.3909,sub-13_ses-2_task-encoding_run-6_bold,
summary_bg_stdv,4.3958,sub-13_ses-2_task-encoding_run-7_bold,
summary_bg_stdv,4.4248,sub-13_ses-2_task-encoding_run-8_bold,
summary_bg_stdv,4.4141,sub-13_ses-2_task-rest_run-1_bold,
summary_bg_stdv,4.3751,sub-13_ses-2_task-similarity_run-1_bold,
summary_bg_stdv,4.4162,sub-13_ses-2_task-similarity_run-2_bold,
summary_bg_stdv,3.8281,sub-14_ses-1_task-encoding_run-1_bold,
summary_bg_stdv,3.8196,sub-14_ses-1_task-encoding_run-2_bold,
summary_bg_stdv,3.7925,sub-14_ses-1_task-encoding_run-3_bold,
summary_bg_stdv,3.8428,sub-14_ses-1_task-encoding_run-4_bold,
summary_bg_stdv,3.89,sub-14_ses-1_task-encoding_run-5_bold,
summary_bg_stdv,3.8705,sub-14_ses-1_task-encoding_run-6_bold,
summary_bg_stdv,3.9194,sub-14_ses-1_task-encoding_run-7_bold,
summary_bg_stdv,3.8887,sub-14_ses-1_task-encoding_run-8_bold,
summary_bg_stdv,3.7177,sub-14_ses-1_task-rest_run-1_bold,
summary_bg_stdv,3.8498,sub-14_ses-1_task-rest_run-2_bold,
summary_bg_stdv,3.7568,sub-14_ses-1_task-similarity_run-1_bold,
summary_bg_stdv,3.7773,sub-14_ses-1_task-similarity_run-2_bold,
summary_bg_stdv,3.8297,sub-14_ses-2_task-encoding_run-1_bold,
summary_bg_stdv,3.987,sub-14_ses-2_task-encoding_run-2_bold,
summary_bg_stdv,3.9954,sub-14_ses-2_task-encoding_run-3_bold,
summary_bg_stdv,4.0446,sub-14_ses-2_task-encoding_run-4_bold,
summary_bg_stdv,3.9896,sub-14_ses-2_task-encoding_run-5_bold,
summary_bg_stdv,4.0762,sub-14_ses-2_task-encoding_run-6_bold,
summary_bg_stdv,4.0836,sub-14_ses-2_task-encoding_run-7_bold,
summary_bg_stdv,4.056,sub-14_ses-2_task-encoding_run-8_bold,
summary_bg_stdv,4.0848,sub-14_ses-2_task-rest_run-1_bold,
summary_bg_stdv,4.0115,sub-14_ses-2_task-similarity_run-1_bold,
summary_bg_stdv,3.9416,sub-14_ses-2_task-similarity_run-2_bold,
summary_bg_stdv,4.3101,sub-16_ses-1_task-encoding_run-1_bold,
summary_bg_stdv,4.4024,sub-16_ses-1_task-encoding_run-2_bold,
summary_bg_stdv,4.3885,sub-16_ses-1_task-encoding_run-3_bold,
summary_bg_stdv,4.3962,sub-16_ses-1_task-encoding_run-4_bold,
summary_bg_stdv,4.4877,sub-16_ses-1_task-encoding_run-5_bold,
summary_bg_stdv,4.5137,sub-16_ses-1_task-encoding_run-6_bold,
summary_bg_stdv,4.506,sub-16_ses-1_task-encoding_run-7_bold,
summary_bg_stdv,4.5384,sub-16_ses-1_task-encoding_run-8_bold,
summary_bg_stdv,3.9679,sub-16_ses-1_task-rest_run-1_bold,
summary_bg_stdv,4.6418,sub-16_ses-1_task-rest_run-2_bold,
summary_bg_stdv,4.1373,sub-16_ses-1_task-similarity_run-1_bold,
summary_bg_stdv,4.2357,sub-16_ses-1_task-similarity_run-2_bold,
summary_bg_stdv,4.0686,sub-16_ses-2_task-encoding_run-1_bold,
summary_bg_stdv,4.2051,sub-16_ses-2_task-encoding_run-2_bold,
summary_bg_stdv,4.2956,sub-16_ses-2_task-encoding_run-3_bold,
summary_bg_stdv,4.3945,sub-16_ses-2_task-encoding_run-4_bold,
summary_bg_stdv,4.5148,sub-16_ses-2_task-encoding_run-5_bold,
summary_bg_stdv,4.5103,sub-16_ses-2_task-encoding_run-6_bold,
summary_bg_stdv,4.5748,sub-16_ses-2_task-encoding_run-7_bold,
summary_bg_stdv,4.6225,sub-16_ses-2_task-encoding_run-8_bold,
summary_bg_stdv,4.6383,sub-16_ses-2_task-rest_run-1_bold,
summary_bg_stdv,4.4937,sub-16_ses-2_task-similarity_run-1_bold,
summary_bg_stdv,4.6648,sub-16_ses-2_task-similarity_run-2_bold,
summary_bg_stdv,4.3737,sub-17_ses-1_task-encoding_run-1_bold,
summary_bg_stdv,4.3601,sub-17_ses-1_task-encoding_run-2_bold,
summary_bg_stdv,4.4145,sub-17_ses-1_task-encoding_run-3_bold,
summary_bg_stdv,4.3396,sub-17_ses-1_task-encoding_run-4_bold,
summary_bg_stdv,4.3791,sub-17_ses-1_task-encoding_run-5_bold,
summary_bg_stdv,4.5146,sub-17_ses-1_task-encoding_run-6_bold,
summary_bg_stdv,4.4708,sub-17_ses-1_task-encoding_run-7_bold,
summary_bg_stdv,4.5064,sub-17_ses-1_task-encoding_run-8_bold,
summary_bg_stdv,4.1924,sub-17_ses-1_task-rest_run-1_bold,
summary_bg_stdv,4.5485,sub-17_ses-1_task-rest_run-2_bold,
summary_bg_stdv,4.2859,sub-17_ses-1_task-similarity_run-1_bold,
summary_bg_stdv,4.3222,sub-17_ses-1_task-similarity_run-2_bold,
summary_bg_stdv,4.3044,sub-17_ses-2_task-encoding_run-1_bold,
summary_bg_stdv,4.4182,sub-17_ses-2_task-encoding_run-2_bold,
summary_bg_stdv,4.4546,sub-17_ses-2_task-encoding_run-3_bold,
summary_bg_stdv,4.5376,sub-17_ses-2_task-encoding_run-4_bold,
summary_bg_stdv,4.4517,sub-17_ses-2_task-encoding_run-5_bold,
summary_bg_stdv,4.503,sub-17_ses-2_task-encoding_run-6_bold,
summary_bg_stdv,4.5449,sub-17_ses-2_task-encoding_run-7_bold,
summary_bg_stdv,4.5878,sub-17_ses-2_task-encoding_run-8_bold,
summary_bg_stdv,4.5821,sub-17_ses-2_task-rest_run-1_bold,
summary_bg_stdv,4.517,sub-17_ses-2_task-similarity_run-1_bold,
summary_bg_stdv,4.6244,sub-17_ses-2_task-similarity_run-2_bold,
summary_bg_stdv,3.7736,sub-18_ses-1_task-encoding_run-1_bold,
summary_bg_stdv,3.8095,sub-18_ses-1_task-encoding_run-2_bold,
summary_bg_stdv,3.7977,sub-18_ses-1_task-encoding_run-3_bold,
summary_bg_stdv,3.8762,sub-18_ses-1_task-encoding_run-4_bold,
summary_bg_stdv,3.9225,sub-18_ses-1_task-encoding_run-5_bold,
summary_bg_stdv,3.9451,sub-18_ses-1_task-encoding_run-6_bold,
summary_bg_stdv,4.0354,sub-18_ses-1_task-encoding_run-7_bold,
summary_bg_stdv,4.0753,sub-18_ses-1_task-encoding_run-8_bold,
summary_bg_stdv,3.5063,sub-18_ses-1_task-rest_run-1_bold,
summary_bg_stdv,4.1445,sub-18_ses-1_task-rest_run-2_bold,
summary_bg_stdv,3.6892,sub-18_ses-1_task-similarity_run-1_bold,
summary_bg_stdv,3.819,sub-18_ses-1_task-similarity_run-2_bold,
summary_bg_stdv,3.5252,sub-18_ses-2_task-encoding_run-1_bold,
summary_bg_stdv,3.6567,sub-18_ses-2_task-encoding_run-2_bold,
summary_bg_stdv,3.674,sub-18_ses-2_task-encoding_run-3_bold,
summary_bg_stdv,3.7033,sub-18_ses-2_task-encoding_run-4_bold,
summary_bg_stdv,3.7511,sub-18_ses-2_task-encoding_run-5_bold,
summary_bg_stdv,3.8333,sub-18_ses-2_task-encoding_run-6_bold,
summary_bg_stdv,3.87,sub-18_ses-2_task-encoding_run-7_bold,
summary_bg_stdv,3.9415,sub-18_ses-2_task-encoding_run-8_bold,
summary_bg_stdv,3.9581,sub-18_ses-2_task-rest_run-1_bold,
summary_bg_stdv,3.854,sub-18_ses-2_task-similarity_run-1_bold,
summary_bg_stdv,4.0003,sub-18_ses-2_task-similarity_run-2_bold,
summary_bg_stdv,4.385,sub-19_ses-1_task-encoding_run-1_bold,
summary_bg_stdv,4.4076,sub-19_ses-1_task-encoding_run-2_bold,
summary_bg_stdv,4.4574,sub-19_ses-1_task-encoding_run-3_bold,
summary_bg_stdv,4.4385,sub-19_ses-1_task-encoding_run-4_bold,
summary_bg_stdv,4.4354,sub-19_ses-1_task-encoding_run-5_bold,
summary_bg_stdv,4.4679,sub-19_ses-1_task-encoding_run-6_bold,
summary_bg_stdv,4.4239,sub-19_ses-1_task-encoding_run-7_bold,
summary_bg_stdv,4.4838,sub-19_ses-1_task-encoding_run-8_bold,
summary_bg_stdv,4.2018,sub-19_ses-1_task-rest_run-1_bold,
summary_bg_stdv,4.4748,sub-19_ses-1_task-rest_run-2_bold,
summary_bg_stdv,4.3004,sub-19_ses-1_task-similarity_run-1_bold,
summary_bg_stdv,4.3134,sub-19_ses-1_task-similarity_run-2_bold,
summary_bg_stdv,4.3162,sub-19_ses-2_task-encoding_run-1_bold,
summary_bg_stdv,4.3259,sub-19_ses-2_task-encoding_run-2_bold,
summary_bg_stdv,4.337,sub-19_ses-2_task-encoding_run-3_bold,
summary_bg_stdv,4.3801,sub-19_ses-2_task-encoding_run-4_bold,
summary_bg_stdv,4.4275,sub-19_ses-2_task-encoding_run-5_bold,
summary_bg_stdv,4.4244,sub-19_ses-2_task-encoding_run-6_bold,
summary_bg_stdv,4.4644,sub-19_ses-2_task-encoding_run-7_bold,
summary_bg_stdv,4.4369,sub-19_ses-2_task-encoding_run-8_bold,
summary_bg_stdv,4.4597,sub-19_ses-2_task-rest_run-1_bold,
summary_bg_stdv,4.4809,sub-19_ses-2_task-similarity_run-1_bold,
summary_bg_stdv,4.5809,sub-19_ses-2_task-similarity_run-2_bold,
summary_bg_stdv,4.1523,sub-20_ses-1_task-encoding_run-1_bold,
summary_bg_stdv,4.197,sub-20_ses-1_task-encoding_run-2_bold,
summary_bg_stdv,4.1868,sub-20_ses-1_task-encoding_run-3_bold,
summary_bg_stdv,4.2311,sub-20_ses-1_task-encoding_run-4_bold,
summary_bg_stdv,4.209,sub-20_ses-1_task-encoding_run-5_bold,
summary_bg_stdv,4.328,sub-20_ses-1_task-encoding_run-6_bold,
summary_bg_stdv,4.3537,sub-20_ses-1_task-encoding_run-7_bold,
summary_bg_stdv,4.4304,sub-20_ses-1_task-encoding_run-8_bold,
summary_bg_stdv,3.9033,sub-20_ses-1_task-rest_run-1_bold,
summary_bg_stdv,4.423,sub-20_ses-1_task-rest_run-2_bold,
summary_bg_stdv,4.0059,sub-20_ses-1_task-similarity_run-1_bold,
summary_bg_stdv,4.132,sub-20_ses-1_task-similarity_run-2_bold,
summary_bg_stdv,3.9388,sub-20_ses-2_task-encoding_run-1_bold,
summary_bg_stdv,4.1357,sub-20_ses-2_task-encoding_run-2_bold,
summary_bg_stdv,4.1712,sub-20_ses-2_task-encoding_run-3_bold,
summary_bg_stdv,4.1609,sub-20_ses-2_task-encoding_run-4_bold,
summary_bg_stdv,4.1695,sub-20_ses-2_task-encoding_run-5_bold,
summary_bg_stdv,4.1945,sub-20_ses-2_task-encoding_run-6_bold,
summary_bg_stdv,4.2329,sub-20_ses-2_task-encoding_run-7_bold,
summary_bg_stdv,4.2665,sub-20_ses-2_task-encoding_run-8_bold,
summary_bg_stdv,4.1851,sub-20_ses-2_task-rest_run-1_bold,
summary_bg_stdv,4.3047,sub-20_ses-2_task-similarity_run-1_bold,
summary_bg_stdv,4.2904,sub-20_ses-2_task-similarity_run-2_bold,
summary_bg_stdv,4.644,sub-25_ses-1_task-encoding_run-1_bold,
summary_bg_stdv,4.6078,sub-25_ses-1_task-encoding_run-2_bold,
summary_bg_stdv,4.682,sub-25_ses-1_task-encoding_run-3_bold,
summary_bg_stdv,4.7066,sub-25_ses-1_task-encoding_run-4_bold,
summary_bg_stdv,4.7303,sub-25_ses-1_task-encoding_run-5_bold,
summary_bg_stdv,4.7476,sub-25_ses-1_task-encoding_run-6_bold,
summary_bg_stdv,4.7909,sub-25_ses-1_task-encoding_run-7_bold,
summary_bg_stdv,4.8176,sub-25_ses-1_task-encoding_run-8_bold,
summary_bg_stdv,4.7381,sub-25_ses-1_task-rest_run-1_bold,
summary_bg_stdv,4.8326,sub-25_ses-1_task-rest_run-2_bold,
summary_bg_stdv,4.7652,sub-25_ses-1_task-similarity_run-1_bold,
summary_bg_stdv,4.4899,sub-25_ses-1_task-similarity_run-2_bold,
summary_bg_stdv,4.7344,sub-25_ses-2_task-encoding_run-1_bold,
summary_bg_stdv,4.7873,sub-25_ses-2_task-encoding_run-2_bold,
summary_bg_stdv,4.8188,sub-25_ses-2_task-encoding_run-3_bold,
summary_bg_stdv,4.8243,sub-25_ses-2_task-encoding_run-4_bold,
summary_bg_stdv,4.8908,sub-25_ses-2_task-encoding_run-5_bold,
summary_bg_stdv,4.8727,sub-25_ses-2_task-encoding_run-6_bold,
summary_bg_stdv,4.9556,sub-25_ses-2_task-encoding_run-7_bold,
summary_bg_stdv,4.9477,sub-25_ses-2_task-encoding_run-8_bold,
summary_bg_stdv,4.9483,sub-25_ses-2_task-rest_run-1_bold,
summary_bg_stdv,4.8744,sub-25_ses-2_task-similarity_run-1_bold,
summary_bg_stdv,4.9419,sub-25_ses-2_task-similarity_run-2_bold,
summary_bg_stdv,4.4499,sub-26_ses-1_task-encoding_run-1_bold,
summary_bg_stdv,4.4937,sub-26_ses-1_task-encoding_run-2_bold,
summary_bg_stdv,4.4817,sub-26_ses-1_task-encoding_run-3_bold,
summary_bg_stdv,4.4897,sub-26_ses-1_task-encoding_run-4_bold,
summary_bg_stdv,4.4996,sub-26_ses-1_task-encoding_run-5_bold,
summary_bg_stdv,4.5689,sub-26_ses-1_task-encoding_run-6_bold,
summary_bg_stdv,4.5606,sub-26_ses-1_task-encoding_run-7_bold,
summary_bg_stdv,4.5665,sub-26_ses-1_task-encoding_run-8_bold,
summary_bg_stdv,4.2291,sub-26_ses-1_task-rest_run-1_bold,
summary_bg_stdv,4.5546,sub-26_ses-1_task-rest_run-2_bold,
summary_bg_stdv,4.2951,sub-26_ses-1_task-similarity_run-1_bold,
summary_bg_stdv,4.4087,sub-26_ses-1_task-similarity_run-2_bold,
summary_bg_stdv,3.9055,sub-26_ses-2_task-encoding_run-1_bold,
summary_bg_stdv,4.0018,sub-26_ses-2_task-encoding_run-2_bold,
summary_bg_stdv,4.0748,sub-26_ses-2_task-encoding_run-3_bold,
summary_bg_stdv,4.1997,sub-26_ses-2_task-encoding_run-4_bold,
summary_bg_stdv,4.2078,sub-26_ses-2_task-encoding_run-5_bold,
summary_bg_stdv,4.1217,sub-26_ses-2_task-encoding_run-6_bold,
summary_bg_stdv,4.1618,sub-26_ses-2_task-encoding_run-7_bold,
summary_bg_stdv,4.2164,sub-26_ses-2_task-encoding_run-8_bold,
summary_bg_stdv,4.2312,sub-26_ses-2_task-rest_run-1_bold,
summary_bg_stdv,4.2282,sub-26_ses-2_task-similarity_run-1_bold,
summary_bg_stdv,4.2631,sub-26_ses-2_task-similarity_run-2_bold,
summary_bg_stdv,5.2359,sub-27_ses-1_task-encoding_run-1_bold,
summary_bg_stdv,5.2524,sub-27_ses-1_task-encoding_run-2_bold,
summary_bg_stdv,5.26,sub-27_ses-1_task-encoding_run-3_bold,
summary_bg_stdv,5.3002,sub-27_ses-1_task-encoding_run-4_bold,
summary_bg_stdv,5.2801,sub-27_ses-1_task-encoding_run-5_bold,
summary_bg_stdv,5.2503,sub-27_ses-1_task-encoding_run-6_bold,
summary_bg_stdv,5.3771,sub-27_ses-1_task-encoding_run-7_bold,
summary_bg_stdv,5.3262,sub-27_ses-1_task-encoding_run-8_bold,
summary_bg_stdv,5.0598,sub-27_ses-1_task-rest_run-1_bold,
summary_bg_stdv,5.3248,sub-27_ses-1_task-rest_run-2_bold,
summary_bg_stdv,5.1254,sub-27_ses-1_task-similarity_run-1_bold,
summary_bg_stdv,5.1311,sub-27_ses-1_task-similarity_run-2_bold,
summary_bg_stdv,5.0686,sub-27_ses-2_task-encoding_run-1_bold,
summary_bg_stdv,5.1285,sub-27_ses-2_task-encoding_run-2_bold,
summary_bg_stdv,5.2372,sub-27_ses-2_task-encoding_run-3_bold,
summary_bg_stdv,5.3035,sub-27_ses-2_task-encoding_run-4_bold,
summary_bg_stdv,5.2917,sub-27_ses-2_task-encoding_run-5_bold,
summary_bg_stdv,5.3353,sub-27_ses-2_task-encoding_run-6_bold,
summary_bg_stdv,5.3266,sub-27_ses-2_task-encoding_run-7_bold,
summary_bg_stdv,5.3535,sub-27_ses-2_task-encoding_run-8_bold,
summary_bg_stdv,5.3703,sub-27_ses-2_task-rest_run-1_bold,
summary_bg_stdv,5.3021,sub-27_ses-2_task-similarity_run-1_bold,
summary_bg_stdv,5.3036,sub-27_ses-2_task-similarity_run-2_bold,
summary_bg_stdv,4.0186,sub-28_ses-1_task-encoding_run-1_bold,
summary_bg_stdv,4.0336,sub-28_ses-1_task-encoding_run-2_bold,
summary_bg_stdv,3.9968,sub-28_ses-1_task-encoding_run-3_bold,
summary_bg_stdv,4.0062,sub-28_ses-1_task-encoding_run-4_bold,
summary_bg_stdv,4.0137,sub-28_ses-1_task-encoding_run-5_bold,
summary_bg_stdv,4.1132,sub-28_ses-1_task-encoding_run-6_bold,
summary_bg_stdv,4.0908,sub-28_ses-1_task-encoding_run-7_bold,
summary_bg_stdv,4.0686,sub-28_ses-1_task-encoding_run-8_bold,
summary_bg_stdv,3.7134,sub-28_ses-1_task-rest_run-1_bold,
summary_bg_stdv,4.176,sub-28_ses-1_task-rest_run-2_bold,
summary_bg_stdv,3.8319,sub-28_ses-1_task-similarity_run-1_bold,
summary_bg_stdv,3.9486,sub-28_ses-1_task-similarity_run-2_bold,
summary_bg_stdv,3.4934,sub-28_ses-2_task-encoding_run-1_bold,
summary_bg_stdv,3.6355,sub-28_ses-2_task-encoding_run-2_bold,
summary_bg_stdv,3.6911,sub-28_ses-2_task-encoding_run-3_bold,
summary_bg_stdv,3.7802,sub-28_ses-2_task-encoding_run-4_bold,
summary_bg_stdv,3.8274,sub-28_ses-2_task-encoding_run-5_bold,
summary_bg_stdv,3.9014,sub-28_ses-2_task-encoding_run-6_bold,
summary_bg_stdv,3.8991,sub-28_ses-2_task-encoding_run-7_bold,
summary_bg_stdv,3.9866,sub-28_ses-2_task-encoding_run-8_bold,
summary_bg_stdv,3.9863,sub-28_ses-2_task-rest_run-1_bold,
summary_bg_stdv,3.9457,sub-28_ses-2_task-similarity_run-1_bold,
summary_bg_stdv,4.0777,sub-28_ses-2_task-similarity_run-2_bold,
summary_bg_k,41.0186,sub-01_ses-1_task-encoding_run-1_bold,
summary_bg_k,40.689,sub-01_ses-1_task-encoding_run-2_bold,
summary_bg_k,40.5967,sub-01_ses-1_task-encoding_run-3_bold,
summary_bg_k,41.4271,sub-01_ses-1_task-encoding_run-4_bold,
summary_bg_k,40.3146,sub-01_ses-1_task-encoding_run-5_bold,
summary_bg_k,39.3941,sub-01_ses-1_task-encoding_run-6_bold,
summary_bg_k,39.2504,sub-01_ses-1_task-encoding_run-7_bold,
summary_bg_k,37.6321,sub-01_ses-1_task-encoding_run-8_bold,
summary_bg_k,42.6126,sub-01_ses-1_task-rest_run-1_bold,
summary_bg_k,42.3096,sub-01_ses-1_task-similarity_run-1_bold,
summary_bg_k,40.6439,sub-01_ses-1_task-similarity_run-2_bold,
summary_bg_k,45.3641,sub-01_ses-2_task-encoding_run-1_bold,
summary_bg_k,46.4343,sub-01_ses-2_task-encoding_run-2_bold,
summary_bg_k,46.7324,sub-01_ses-2_task-encoding_run-3_bold,
summary_bg_k,46.1731,sub-01_ses-2_task-encoding_run-4_bold,
summary_bg_k,39.3714,sub-01_ses-2_task-encoding_run-5_bold,
summary_bg_k,44.9469,sub-01_ses-2_task-encoding_run-6_bold,
summary_bg_k,41.9345,sub-01_ses-2_task-encoding_run-7_bold,
summary_bg_k,37.9089,sub-01_ses-2_task-encoding_run-8_bold,
summary_bg_k,39.1478,sub-01_ses-2_task-rest_run-1_bold,
summary_bg_k,39.0992,sub-01_ses-2_task-similarity_run-1_bold,
summary_bg_k,36.9928,sub-01_ses-2_task-similarity_run-2_bold,
summary_bg_k,54.0535,sub-02_ses-1_task-encoding_run-1_bold,
summary_bg_k,55.4566,sub-02_ses-1_task-encoding_run-2_bold,
summary_bg_k,55.639,sub-02_ses-1_task-encoding_run-3_bold,
summary_bg_k,54.787,sub-02_ses-1_task-encoding_run-4_bold,
summary_bg_k,51.9761,sub-02_ses-1_task-encoding_run-5_bold,
summary_bg_k,51.0664,sub-02_ses-1_task-encoding_run-6_bold,
summary_bg_k,50.5521,sub-02_ses-1_task-encoding_run-7_bold,
summary_bg_k,49.6672,sub-02_ses-1_task-encoding_run-8_bold,
summary_bg_k,63.0373,sub-02_ses-1_task-rest_run-1_bold,
summary_bg_k,47.5722,sub-02_ses-1_task-rest_run-2_bold,
summary_bg_k,61.613,sub-02_ses-1_task-similarity_run-1_bold,
summary_bg_k,54.3796,sub-02_ses-1_task-similarity_run-2_bold,
summary_bg_k,65.9052,sub-02_ses-2_task-encoding_run-1_bold,
summary_bg_k,63.5178,sub-02_ses-2_task-encoding_run-2_bold,
summary_bg_k,64.0098,sub-02_ses-2_task-encoding_run-3_bold,
summary_bg_k,62.31,sub-02_ses-2_task-encoding_run-4_bold,
summary_bg_k,63.1292,sub-02_ses-2_task-encoding_run-5_bold,
summary_bg_k,62.3692,sub-02_ses-2_task-encoding_run-6_bold,
summary_bg_k,59.634,sub-02_ses-2_task-encoding_run-7_bold,
summary_bg_k,58.538,sub-02_ses-2_task-encoding_run-8_bold,
summary_bg_k,56.3089,sub-02_ses-2_task-rest_run-1_bold,
summary_bg_k,67.0826,sub-02_ses-2_task-similarity_run-1_bold,
summary_bg_k,61.6536,sub-02_ses-2_task-similarity_run-2_bold,
summary_bg_k,34.6228,sub-03_ses-1_task-encoding_run-1_bold,
summary_bg_k,36.1111,sub-03_ses-1_task-encoding_run-2_bold,
summary_bg_k,35.7015,sub-03_ses-1_task-encoding_run-3_bold,
summary_bg_k,36.4449,sub-03_ses-1_task-encoding_run-4_bold,
summary_bg_k,34.4576,sub-03_ses-1_task-encoding_run-5_bold,
summary_bg_k,34.2413,sub-03_ses-1_task-encoding_run-6_bold,
summary_bg_k,35.9348,sub-03_ses-1_task-encoding_run-7_bold,
summary_bg_k,37.4686,sub-03_ses-1_task-encoding_run-8_bold,
summary_bg_k,44.4771,sub-03_ses-1_task-rest_run-1_bold,
summary_bg_k,35.7598,sub-03_ses-1_task-rest_run-2_bold,
summary_bg_k,39.3649,sub-03_ses-1_task-similarity_run-1_bold,
summary_bg_k,39.2492,sub-03_ses-1_task-similarity_run-2_bold,
summary_bg_k,39.8753,sub-03_ses-2_task-encoding_run-1_bold,
summary_bg_k,38.5524,sub-03_ses-2_task-encoding_run-2_bold,
summary_bg_k,33.7549,sub-03_ses-2_task-encoding_run-3_bold,
summary_bg_k,32.7987,sub-03_ses-2_task-encoding_run-4_bold,
summary_bg_k,33.1084,sub-03_ses-2_task-encoding_run-5_bold,
summary_bg_k,31.7809,sub-03_ses-2_task-encoding_run-6_bold,
summary_bg_k,31.8437,sub-03_ses-2_task-encoding_run-7_bold,
summary_bg_k,32.0048,sub-03_ses-2_task-encoding_run-8_bold,
summary_bg_k,30.3529,sub-03_ses-2_task-rest_run-1_bold,
summary_bg_k,31.6902,sub-03_ses-2_task-similarity_run-1_bold,
summary_bg_k,29.5976,sub-03_ses-2_task-similarity_run-2_bold,
summary_bg_k,68.8998,sub-04_ses-1_task-encoding_run-1_bold,
summary_bg_k,70.1175,sub-04_ses-1_task-encoding_run-2_bold,
summary_bg_k,69.7896,sub-04_ses-1_task-encoding_run-3_bold,
summary_bg_k,74.0718,sub-04_ses-1_task-encoding_run-4_bold,
summary_bg_k,76.1934,sub-04_ses-1_task-encoding_run-5_bold,
summary_bg_k,76.9556,sub-04_ses-1_task-encoding_run-6_bold,
summary_bg_k,75.9323,sub-04_ses-1_task-encoding_run-7_bold,
summary_bg_k,78.3261,sub-04_ses-1_task-encoding_run-8_bold,
summary_bg_k,78.4397,sub-04_ses-1_task-rest_run-1_bold,
summary_bg_k,77.2971,sub-04_ses-1_task-rest_run-2_bold,
summary_bg_k,73.9869,sub-04_ses-1_task-similarity_run-1_bold,
summary_bg_k,75.1757,sub-04_ses-1_task-similarity_run-2_bold,
summary_bg_k,69.5958,sub-04_ses-2_task-encoding_run-1_bold,
summary_bg_k,69.8114,sub-04_ses-2_task-encoding_run-2_bold,
summary_bg_k,70.429,sub-04_ses-2_task-encoding_run-3_bold,
summary_bg_k,71.6305,sub-04_ses-2_task-encoding_run-4_bold,
summary_bg_k,70.9799,sub-04_ses-2_task-encoding_run-5_bold,
summary_bg_k,71.1932,sub-04_ses-2_task-encoding_run-6_bold,
summary_bg_k,69.9902,sub-04_ses-2_task-encoding_run-7_bold,
summary_bg_k,70.3267,sub-04_ses-2_task-encoding_run-8_bold,
summary_bg_k,68.4139,sub-04_ses-2_task-rest_run-1_bold,
summary_bg_k,63.8096,sub-04_ses-2_task-similarity_run-1_bold,
summary_bg_k,64.8229,sub-04_ses-2_task-similarity_run-2_bold,
summary_bg_k,29.1736,sub-06_ses-1_task-encoding_run-1_bold,
summary_bg_k,29.0641,sub-06_ses-1_task-encoding_run-2_bold,
summary_bg_k,27.9339,sub-06_ses-1_task-encoding_run-3_bold,
summary_bg_k,26.723,sub-06_ses-1_task-encoding_run-4_bold,
summary_bg_k,24.154,sub-06_ses-1_task-encoding_run-5_bold,
summary_bg_k,24.6561,sub-06_ses-1_task-encoding_run-6_bold,
summary_bg_k,23.364,sub-06_ses-1_task-encoding_run-7_bold,
summary_bg_k,22.7126,sub-06_ses-1_task-encoding_run-8_bold,
summary_bg_k,36.1793,sub-06_ses-1_task-rest_run-1_bold,
summary_bg_k,20.602,sub-06_ses-1_task-rest_run-2_bold,
summary_bg_k,33.5496,sub-06_ses-1_task-similarity_run-1_bold,
summary_bg_k,33.0407,sub-06_ses-1_task-similarity_run-2_bold,
summary_bg_k,35.6794,sub-06_ses-2_task-encoding_run-1_bold,
summary_bg_k,34.6331,sub-06_ses-2_task-encoding_run-2_bold,
summary_bg_k,32.8029,sub-06_ses-2_task-encoding_run-3_bold,
summary_bg_k,31.2975,sub-06_ses-2_task-encoding_run-4_bold,
summary_bg_k,29.6737,sub-06_ses-2_task-encoding_run-5_bold,
summary_bg_k,27.7002,sub-06_ses-2_task-encoding_run-6_bold,
summary_bg_k,25.8612,sub-06_ses-2_task-encoding_run-7_bold,
summary_bg_k,24.9578,sub-06_ses-2_task-encoding_run-8_bold,
summary_bg_k,23.8871,sub-06_ses-2_task-rest_run-1_bold,
summary_bg_k,23.4486,sub-06_ses-2_task-similarity_run-1_bold,
summary_bg_k,19.1929,sub-06_ses-2_task-similarity_run-2_bold,
summary_bg_k,50.1521,sub-08_ses-1_task-encoding_run-1_bold,
summary_bg_k,50.3242,sub-08_ses-1_task-encoding_run-2_bold,
summary_bg_k,47.9171,sub-08_ses-1_task-encoding_run-3_bold,
summary_bg_k,49.7784,sub-08_ses-1_task-encoding_run-4_bold,
summary_bg_k,49.8867,sub-08_ses-1_task-encoding_run-5_bold,
summary_bg_k,49.0282,sub-08_ses-1_task-encoding_run-6_bold,
summary_bg_k,47.9654,sub-08_ses-1_task-encoding_run-7_bold,
summary_bg_k,47.7266,sub-08_ses-1_task-encoding_run-8_bold,
summary_bg_k,53.7744,sub-08_ses-1_task-rest_run-1_bold,
summary_bg_k,44.4971,sub-08_ses-1_task-rest_run-2_bold,
summary_bg_k,53.0227,sub-08_ses-1_task-similarity_run-1_bold,
summary_bg_k,53.0662,sub-08_ses-1_task-similarity_run-2_bold,
summary_bg_k,59.7158,sub-08_ses-2_task-encoding_run-1_bold,
summary_bg_k,58.0422,sub-08_ses-2_task-encoding_run-2_bold,
summary_bg_k,60.0951,sub-08_ses-2_task-encoding_run-3_bold,
summary_bg_k,59.0468,sub-08_ses-2_task-encoding_run-4_bold,
summary_bg_k,59.7347,sub-08_ses-2_task-encoding_run-5_bold,
summary_bg_k,61.1639,sub-08_ses-2_task-encoding_run-6_bold,
summary_bg_k,59.4871,sub-08_ses-2_task-encoding_run-7_bold,
summary_bg_k,59.9206,sub-08_ses-2_task-encoding_run-8_bold,
summary_bg_k,56.4501,sub-08_ses-2_task-rest_run-1_bold,
summary_bg_k,55.9798,sub-08_ses-2_task-similarity_run-1_bold,
summary_bg_k,55.9178,sub-08_ses-2_task-similarity_run-2_bold,
summary_bg_k,57.8269,sub-09_ses-1_task-encoding_run-1_bold,
summary_bg_k,56.9362,sub-09_ses-1_task-encoding_run-2_bold,
summary_bg_k,56.566,sub-09_ses-1_task-encoding_run-3_bold,
summary_bg_k,55.7852,sub-09_ses-1_task-encoding_run-4_bold,
summary_bg_k,56.0515,sub-09_ses-1_task-encoding_run-5_bold,
summary_bg_k,55.1473,sub-09_ses-1_task-encoding_run-6_bold,
summary_bg_k,54.9944,sub-09_ses-1_task-encoding_run-7_bold,
summary_bg_k,53.5001,sub-09_ses-1_task-encoding_run-8_bold,
summary_bg_k,57.5257,sub-09_ses-1_task-rest_run-1_bold,
summary_bg_k,52.7345,sub-09_ses-1_task-rest_run-2_bold,
summary_bg_k,57.8705,sub-09_ses-1_task-similarity_run-1_bold,
summary_bg_k,57.1139,sub-09_ses-1_task-similarity_run-2_bold,
summary_bg_k,64.5782,sub-09_ses-2_task-encoding_run-1_bold,
summary_bg_k,63.1764,sub-09_ses-2_task-encoding_run-2_bold,
summary_bg_k,63.4935,sub-09_ses-2_task-encoding_run-3_bold,
summary_bg_k,64.6716,sub-09_ses-2_task-encoding_run-4_bold,
summary_bg_k,66.5906,sub-09_ses-2_task-encoding_run-5_bold,
summary_bg_k,67.7473,sub-09_ses-2_task-encoding_run-6_bold,
summary_bg_k,63.7459,sub-09_ses-2_task-encoding_run-7_bold,
summary_bg_k,64.6793,sub-09_ses-2_task-encoding_run-8_bold,
summary_bg_k,62.5661,sub-09_ses-2_task-rest_run-1_bold,
summary_bg_k,59.7432,sub-09_ses-2_task-similarity_run-1_bold,
summary_bg_k,59.9803,sub-09_ses-2_task-similarity_run-2_bold,
summary_bg_k,54.4348,sub-10_ses-1_task-encoding_run-1_bold,
summary_bg_k,54.0906,sub-10_ses-1_task-encoding_run-2_bold,
summary_bg_k,52.95,sub-10_ses-1_task-encoding_run-3_bold,
summary_bg_k,51.6052,sub-10_ses-1_task-encoding_run-4_bold,
summary_bg_k,51.7766,sub-10_ses-1_task-encoding_run-5_bold,
summary_bg_k,50.0562,sub-10_ses-1_task-encoding_run-6_bold,
summary_bg_k,49.1203,sub-10_ses-1_task-encoding_run-7_bold,
summary_bg_k,48.7828,sub-10_ses-1_task-encoding_run-8_bold,
summary_bg_k,61.0544,sub-10_ses-1_task-rest_run-1_bold,
summary_bg_k,47.0517,sub-10_ses-1_task-rest_run-2_bold,
summary_bg_k,58.1018,sub-10_ses-1_task-similarity_run-1_bold,
summary_bg_k,54.8385,sub-10_ses-1_task-similarity_run-2_bold,
summary_bg_k,66.3591,sub-10_ses-2_task-encoding_run-1_bold,
summary_bg_k,63.1427,sub-10_ses-2_task-encoding_run-2_bold,
summary_bg_k,61.6115,sub-10_ses-2_task-encoding_run-3_bold,
summary_bg_k,61.962,sub-10_ses-2_task-encoding_run-4_bold,
summary_bg_k,60.3171,sub-10_ses-2_task-encoding_run-5_bold,
summary_bg_k,60.9004,sub-10_ses-2_task-encoding_run-6_bold,
summary_bg_k,59.2285,sub-10_ses-2_task-encoding_run-7_bold,
summary_bg_k,58.3555,sub-10_ses-2_task-encoding_run-8_bold,
summary_bg_k,58.1291,sub-10_ses-2_task-rest_run-1_bold,
summary_bg_k,57.3666,sub-10_ses-2_task-similarity_run-1_bold,
summary_bg_k,56.7471,sub-10_ses-2_task-similarity_run-2_bold,
summary_bg_k,36.6022,sub-11_ses-1_task-encoding_run-1_bold,
summary_bg_k,37.1688,sub-11_ses-1_task-encoding_run-2_bold,
summary_bg_k,36.3543,sub-11_ses-1_task-encoding_run-3_bold,
summary_bg_k,36.1657,sub-11_ses-1_task-encoding_run-4_bold,
summary_bg_k,36.598,sub-11_ses-1_task-encoding_run-5_bold,
summary_bg_k,36.9394,sub-11_ses-1_task-encoding_run-6_bold,
summary_bg_k,35.4706,sub-11_ses-1_task-encoding_run-7_bold,
summary_bg_k,36.9816,sub-11_ses-1_task-encoding_run-8_bold,
summary_bg_k,39.4405,sub-11_ses-1_task-rest_run-1_bold,
summary_bg_k,35.5383,sub-11_ses-1_task-rest_run-2_bold,
summary_bg_k,38.2912,sub-11_ses-1_task-similarity_run-1_bold,
summary_bg_k,37.852,sub-11_ses-1_task-similarity_run-2_bold,
summary_bg_k,37.5506,sub-11_ses-2_task-encoding_run-1_bold,
summary_bg_k,37.7451,sub-11_ses-2_task-encoding_run-2_bold,
summary_bg_k,37.988,sub-11_ses-2_task-encoding_run-3_bold,
summary_bg_k,37.2667,sub-11_ses-2_task-encoding_run-4_bold,
summary_bg_k,37.9108,sub-11_ses-2_task-encoding_run-5_bold,
summary_bg_k,37.501,sub-11_ses-2_task-encoding_run-6_bold,
summary_bg_k,37.2159,sub-11_ses-2_task-encoding_run-7_bold,
summary_bg_k,37.1476,sub-11_ses-2_task-encoding_run-8_bold,
summary_bg_k,34.4559,sub-11_ses-2_task-rest_run-1_bold,
summary_bg_k,33.1077,sub-11_ses-2_task-similarity_run-1_bold,
summary_bg_k,32.6692,sub-11_ses-2_task-similarity_run-2_bold,
summary_bg_k,100.1121,sub-13_ses-1_task-encoding_run-1_bold,
summary_bg_k,99.924,sub-13_ses-1_task-encoding_run-2_bold,
summary_bg_k,97.1684,sub-13_ses-1_task-encoding_run-3_bold,
summary_bg_k,95.7012,sub-13_ses-1_task-encoding_run-4_bold,
summary_bg_k,93.0741,sub-13_ses-1_task-encoding_run-5_bold,
summary_bg_k,91.2675,sub-13_ses-1_task-encoding_run-6_bold,
summary_bg_k,91.1112,sub-13_ses-1_task-encoding_run-7_bold,
summary_bg_k,90.1283,sub-13_ses-1_task-encoding_run-8_bold,
summary_bg_k,111.1483,sub-13_ses-1_task-rest_run-1_bold,
summary_bg_k,86.2176,sub-13_ses-1_task-rest_run-2_bold,
summary_bg_k,108.947,sub-13_ses-1_task-similarity_run-1_bold,
summary_bg_k,102.9667,sub-13_ses-1_task-similarity_run-2_bold,
summary_bg_k,108.5898,sub-13_ses-2_task-encoding_run-1_bold,
summary_bg_k,106.2372,sub-13_ses-2_task-encoding_run-2_bold,
summary_bg_k,102.0793,sub-13_ses-2_task-encoding_run-3_bold,
summary_bg_k,98.7001,sub-13_ses-2_task-encoding_run-4_bold,
summary_bg_k,95.6683,sub-13_ses-2_task-encoding_run-5_bold,
summary_bg_k,92.9682,sub-13_ses-2_task-encoding_run-6_bold,
summary_bg_k,91.8264,sub-13_ses-2_task-encoding_run-7_bold,
summary_bg_k,88.6859,sub-13_ses-2_task-encoding_run-8_bold,
summary_bg_k,85.6456,sub-13_ses-2_task-rest_run-1_bold,
summary_bg_k,87.8765,sub-13_ses-2_task-similarity_run-1_bold,
summary_bg_k,85.5813,sub-13_ses-2_task-similarity_run-2_bold,
summary_bg_k,40.431,sub-14_ses-1_task-encoding_run-1_bold,
summary_bg_k,40.9004,sub-14_ses-1_task-encoding_run-2_bold,
summary_bg_k,41.4893,sub-14_ses-1_task-encoding_run-3_bold,
summary_bg_k,42.641,sub-14_ses-1_task-encoding_run-4_bold,
summary_bg_k,42.1462,sub-14_ses-1_task-encoding_run-5_bold,
summary_bg_k,41.3712,sub-14_ses-1_task-encoding_run-6_bold,
summary_bg_k,41.2453,sub-14_ses-1_task-encoding_run-7_bold,
summary_bg_k,41.1788,sub-14_ses-1_task-encoding_run-8_bold,
summary_bg_k,41.8592,sub-14_ses-1_task-rest_run-1_bold,
summary_bg_k,41.0226,sub-14_ses-1_task-rest_run-2_bold,
summary_bg_k,39.3111,sub-14_ses-1_task-similarity_run-1_bold,
summary_bg_k,39.5168,sub-14_ses-1_task-similarity_run-2_bold,
summary_bg_k,34.9297,sub-14_ses-2_task-encoding_run-1_bold,
summary_bg_k,33.8367,sub-14_ses-2_task-encoding_run-2_bold,
summary_bg_k,34.258,sub-14_ses-2_task-encoding_run-3_bold,
summary_bg_k,34.5619,sub-14_ses-2_task-encoding_run-4_bold,
summary_bg_k,32.4272,sub-14_ses-2_task-encoding_run-5_bold,
summary_bg_k,33.1248,sub-14_ses-2_task-encoding_run-6_bold,
summary_bg_k,33.0216,sub-14_ses-2_task-encoding_run-7_bold,
summary_bg_k,31.971,sub-14_ses-2_task-encoding_run-8_bold,
summary_bg_k,32.2413,sub-14_ses-2_task-rest_run-1_bold,
summary_bg_k,31.3639,sub-14_ses-2_task-similarity_run-1_bold,
summary_bg_k,30.2249,sub-14_ses-2_task-similarity_run-2_bold,
summary_bg_k,61.0397,sub-16_ses-1_task-encoding_run-1_bold,
summary_bg_k,59.8248,sub-16_ses-1_task-encoding_run-2_bold,
summary_bg_k,58.0117,sub-16_ses-1_task-encoding_run-3_bold,
summary_bg_k,57.4339,sub-16_ses-1_task-encoding_run-4_bold,
summary_bg_k,55.3625,sub-16_ses-1_task-encoding_run-5_bold,
summary_bg_k,53.6283,sub-16_ses-1_task-encoding_run-6_bold,
summary_bg_k,52.9227,sub-16_ses-1_task-encoding_run-7_bold,
summary_bg_k,51.5603,sub-16_ses-1_task-encoding_run-8_bold,
summary_bg_k,59.2714,sub-16_ses-1_task-rest_run-1_bold,
summary_bg_k,48.7259,sub-16_ses-1_task-rest_run-2_bold,
summary_bg_k,61.0505,sub-16_ses-1_task-similarity_run-1_bold,
summary_bg_k,62.0272,sub-16_ses-1_task-similarity_run-2_bold,
summary_bg_k,67.6273,sub-16_ses-2_task-encoding_run-1_bold,
summary_bg_k,71.734,sub-16_ses-2_task-encoding_run-2_bold,
summary_bg_k,72.9627,sub-16_ses-2_task-encoding_run-3_bold,
summary_bg_k,72.8596,sub-16_ses-2_task-encoding_run-4_bold,
summary_bg_k,69.0223,sub-16_ses-2_task-encoding_run-5_bold,
summary_bg_k,68.568,sub-16_ses-2_task-encoding_run-6_bold,
summary_bg_k,67.1837,sub-16_ses-2_task-encoding_run-7_bold,
summary_bg_k,65.8202,sub-16_ses-2_task-encoding_run-8_bold,
summary_bg_k,62.3399,sub-16_ses-2_task-rest_run-1_bold,
summary_bg_k,65.8246,sub-16_ses-2_task-similarity_run-1_bold,
summary_bg_k,62.8383,sub-16_ses-2_task-similarity_run-2_bold,
summary_bg_k,63.1556,sub-17_ses-1_task-encoding_run-1_bold,
summary_bg_k,66.7871,sub-17_ses-1_task-encoding_run-2_bold,
summary_bg_k,65.9931,sub-17_ses-1_task-encoding_run-3_bold,
summary_bg_k,67.0668,sub-17_ses-1_task-encoding_run-4_bold,
summary_bg_k,67.1399,sub-17_ses-1_task-encoding_run-5_bold,
summary_bg_k,64.9737,sub-17_ses-1_task-encoding_run-6_bold,
summary_bg_k,61.8644,sub-17_ses-1_task-encoding_run-7_bold,
summary_bg_k,60.1629,sub-17_ses-1_task-encoding_run-8_bold,
summary_bg_k,60.6414,sub-17_ses-1_task-rest_run-1_bold,
summary_bg_k,54.9463,sub-17_ses-1_task-rest_run-2_bold,
summary_bg_k,64.7181,sub-17_ses-1_task-similarity_run-1_bold,
summary_bg_k,66.3842,sub-17_ses-1_task-similarity_run-2_bold,
summary_bg_k,62.3473,sub-17_ses-2_task-encoding_run-1_bold,
summary_bg_k,61.025,sub-17_ses-2_task-encoding_run-2_bold,
summary_bg_k,61.2283,sub-17_ses-2_task-encoding_run-3_bold,
summary_bg_k,58.9164,sub-17_ses-2_task-encoding_run-4_bold,
summary_bg_k,59.8762,sub-17_ses-2_task-encoding_run-5_bold,
summary_bg_k,61.907,sub-17_ses-2_task-encoding_run-6_bold,
summary_bg_k,59.8809,sub-17_ses-2_task-encoding_run-7_bold,
summary_bg_k,57.9132,sub-17_ses-2_task-encoding_run-8_bold,
summary_bg_k,55.923,sub-17_ses-2_task-rest_run-1_bold,
summary_bg_k,55.6666,sub-17_ses-2_task-similarity_run-1_bold,
summary_bg_k,51.701,sub-17_ses-2_task-similarity_run-2_bold,
summary_bg_k,43.0573,sub-18_ses-1_task-encoding_run-1_bold,
summary_bg_k,44.2115,sub-18_ses-1_task-encoding_run-2_bold,
summary_bg_k,43.767,sub-18_ses-1_task-encoding_run-3_bold,
summary_bg_k,45.5337,sub-18_ses-1_task-encoding_run-4_bold,
summary_bg_k,41.1976,sub-18_ses-1_task-encoding_run-5_bold,
summary_bg_k,40.6466,sub-18_ses-1_task-encoding_run-6_bold,
summary_bg_k,39.4665,sub-18_ses-1_task-encoding_run-7_bold,
summary_bg_k,37.4373,sub-18_ses-1_task-encoding_run-8_bold,
summary_bg_k,46.2035,sub-18_ses-1_task-rest_run-1_bold,
summary_bg_k,33.8883,sub-18_ses-1_task-rest_run-2_bold,
summary_bg_k,46.17,sub-18_ses-1_task-similarity_run-1_bold,
summary_bg_k,43.57,sub-18_ses-1_task-similarity_run-2_bold,
summary_bg_k,54.3076,sub-18_ses-2_task-encoding_run-1_bold,
summary_bg_k,55.1335,sub-18_ses-2_task-encoding_run-2_bold,
summary_bg_k,55.231,sub-18_ses-2_task-encoding_run-3_bold,
summary_bg_k,54.6575,sub-18_ses-2_task-encoding_run-4_bold,
summary_bg_k,54.6419,sub-18_ses-2_task-encoding_run-5_bold,
summary_bg_k,54.6903,sub-18_ses-2_task-encoding_run-6_bold,
summary_bg_k,53.7607,sub-18_ses-2_task-encoding_run-7_bold,
summary_bg_k,50.9721,sub-18_ses-2_task-encoding_run-8_bold,
summary_bg_k,50.1012,sub-18_ses-2_task-rest_run-1_bold,
summary_bg_k,46.2518,sub-18_ses-2_task-similarity_run-1_bold,
summary_bg_k,44.2372,sub-18_ses-2_task-similarity_run-2_bold,
summary_bg_k,46.0904,sub-19_ses-1_task-encoding_run-1_bold,
summary_bg_k,45.4107,sub-19_ses-1_task-encoding_run-2_bold,
summary_bg_k,45.0672,sub-19_ses-1_task-encoding_run-3_bold,
summary_bg_k,44.9083,sub-19_ses-1_task-encoding_run-4_bold,
summary_bg_k,44.6172,sub-19_ses-1_task-encoding_run-5_bold,
summary_bg_k,44.249,sub-19_ses-1_task-encoding_run-6_bold,
summary_bg_k,44.7865,sub-19_ses-1_task-encoding_run-7_bold,
summary_bg_k,44.2863,sub-19_ses-1_task-encoding_run-8_bold,
summary_bg_k,55.1152,sub-19_ses-1_task-rest_run-1_bold,
summary_bg_k,44.8957,sub-19_ses-1_task-rest_run-2_bold,
summary_bg_k,49.6732,sub-19_ses-1_task-similarity_run-1_bold,
summary_bg_k,48.6371,sub-19_ses-1_task-similarity_run-2_bold,
summary_bg_k,52.9493,sub-19_ses-2_task-encoding_run-1_bold,
summary_bg_k,50.3238,sub-19_ses-2_task-encoding_run-2_bold,
summary_bg_k,48.6652,sub-19_ses-2_task-encoding_run-3_bold,
summary_bg_k,47.162,sub-19_ses-2_task-encoding_run-4_bold,
summary_bg_k,46.564,sub-19_ses-2_task-encoding_run-5_bold,
summary_bg_k,45.422,sub-19_ses-2_task-encoding_run-6_bold,
summary_bg_k,45.0758,sub-19_ses-2_task-encoding_run-7_bold,
summary_bg_k,45.645,sub-19_ses-2_task-encoding_run-8_bold,
summary_bg_k,45.1289,sub-19_ses-2_task-rest_run-1_bold,
summary_bg_k,43.5632,sub-19_ses-2_task-similarity_run-1_bold,
summary_bg_k,39.5995,sub-19_ses-2_task-similarity_run-2_bold,
summary_bg_k,48.9187,sub-20_ses-1_task-encoding_run-1_bold,
summary_bg_k,49.2874,sub-20_ses-1_task-encoding_run-2_bold,
summary_bg_k,50.6271,sub-20_ses-1_task-encoding_run-3_bold,
summary_bg_k,49.4925,sub-20_ses-1_task-encoding_run-4_bold,
summary_bg_k,49.0784,sub-20_ses-1_task-encoding_run-5_bold,
summary_bg_k,47.8491,sub-20_ses-1_task-encoding_run-6_bold,
summary_bg_k,46.9692,sub-20_ses-1_task-encoding_run-7_bold,
summary_bg_k,48.8661,sub-20_ses-1_task-encoding_run-8_bold,
summary_bg_k,55.9982,sub-20_ses-1_task-rest_run-1_bold,
summary_bg_k,46.2018,sub-20_ses-1_task-rest_run-2_bold,
summary_bg_k,53.9565,sub-20_ses-1_task-similarity_run-1_bold,
summary_bg_k,53.4403,sub-20_ses-1_task-similarity_run-2_bold,
summary_bg_k,47.8391,sub-20_ses-2_task-encoding_run-1_bold,
summary_bg_k,49.145,sub-20_ses-2_task-encoding_run-2_bold,
summary_bg_k,46.8615,sub-20_ses-2_task-encoding_run-3_bold,
summary_bg_k,45.7193,sub-20_ses-2_task-encoding_run-4_bold,
summary_bg_k,45.5966,sub-20_ses-2_task-encoding_run-5_bold,
summary_bg_k,45.5756,sub-20_ses-2_task-encoding_run-6_bold,
summary_bg_k,46.3415,sub-20_ses-2_task-encoding_run-7_bold,
summary_bg_k,45.4841,sub-20_ses-2_task-encoding_run-8_bold,
summary_bg_k,43.6493,sub-20_ses-2_task-rest_run-1_bold,
summary_bg_k,44.8949,sub-20_ses-2_task-similarity_run-1_bold,
summary_bg_k,41.373,sub-20_ses-2_task-similarity_run-2_bold,
summary_bg_k,37.7447,sub-25_ses-1_task-encoding_run-1_bold,
summary_bg_k,35.2999,sub-25_ses-1_task-encoding_run-2_bold,
summary_bg_k,35.4296,sub-25_ses-1_task-encoding_run-3_bold,
summary_bg_k,34.4094,sub-25_ses-1_task-encoding_run-4_bold,
summary_bg_k,33.9386,sub-25_ses-1_task-encoding_run-5_bold,
summary_bg_k,33.3463,sub-25_ses-1_task-encoding_run-6_bold,
summary_bg_k,33.1112,sub-25_ses-1_task-encoding_run-7_bold,
summary_bg_k,32.8328,sub-25_ses-1_task-encoding_run-8_bold,
summary_bg_k,45.0136,sub-25_ses-1_task-rest_run-1_bold,
summary_bg_k,33.2793,sub-25_ses-1_task-rest_run-2_bold,
summary_bg_k,42.5148,sub-25_ses-1_task-similarity_run-1_bold,
summary_bg_k,38.4375,sub-25_ses-1_task-similarity_run-2_bold,
summary_bg_k,41.1792,sub-25_ses-2_task-encoding_run-1_bold,
summary_bg_k,38.2258,sub-25_ses-2_task-encoding_run-2_bold,
summary_bg_k,38.0355,sub-25_ses-2_task-encoding_run-3_bold,
summary_bg_k,37.576,sub-25_ses-2_task-encoding_run-4_bold,
summary_bg_k,36.318,sub-25_ses-2_task-encoding_run-5_bold,
summary_bg_k,35.9411,sub-25_ses-2_task-encoding_run-6_bold,
summary_bg_k,35.3288,sub-25_ses-2_task-encoding_run-7_bold,
summary_bg_k,34.3272,sub-25_ses-2_task-encoding_run-8_bold,
summary_bg_k,35.4121,sub-25_ses-2_task-rest_run-1_bold,
summary_bg_k,34.7783,sub-25_ses-2_task-similarity_run-1_bold,
summary_bg_k,34.8521,sub-25_ses-2_task-similarity_run-2_bold,
summary_bg_k,73.5666,sub-26_ses-1_task-encoding_run-1_bold,
summary_bg_k,73.9938,sub-26_ses-1_task-encoding_run-2_bold,
summary_bg_k,73.5516,sub-26_ses-1_task-encoding_run-3_bold,
summary_bg_k,72.5403,sub-26_ses-1_task-encoding_run-4_bold,
summary_bg_k,70.21,sub-26_ses-1_task-encoding_run-5_bold,
summary_bg_k,72.5469,sub-26_ses-1_task-encoding_run-6_bold,
summary_bg_k,72.7233,sub-26_ses-1_task-encoding_run-7_bold,
summary_bg_k,71.8729,sub-26_ses-1_task-encoding_run-8_bold,
summary_bg_k,88.1234,sub-26_ses-1_task-rest_run-1_bold,
summary_bg_k,68.881,sub-26_ses-1_task-rest_run-2_bold,
summary_bg_k,84.9438,sub-26_ses-1_task-similarity_run-1_bold,
summary_bg_k,85.3927,sub-26_ses-1_task-similarity_run-2_bold,
summary_bg_k,87.1382,sub-26_ses-2_task-encoding_run-1_bold,
summary_bg_k,87.441,sub-26_ses-2_task-encoding_run-2_bold,
summary_bg_k,86.6861,sub-26_ses-2_task-encoding_run-3_bold,
summary_bg_k,94.5055,sub-26_ses-2_task-encoding_run-4_bold,
summary_bg_k,90.1004,sub-26_ses-2_task-encoding_run-5_bold,
summary_bg_k,82.8688,sub-26_ses-2_task-encoding_run-6_bold,
summary_bg_k,83.0725,sub-26_ses-2_task-encoding_run-7_bold,
summary_bg_k,80.4913,sub-26_ses-2_task-encoding_run-8_bold,
summary_bg_k,76.7397,sub-26_ses-2_task-rest_run-1_bold,
summary_bg_k,76.7627,sub-26_ses-2_task-similarity_run-1_bold,
summary_bg_k,73.2418,sub-26_ses-2_task-similarity_run-2_bold,
summary_bg_k,40.502,sub-27_ses-1_task-encoding_run-1_bold,
summary_bg_k,40.107,sub-27_ses-1_task-encoding_run-2_bold,
summary_bg_k,40.126,sub-27_ses-1_task-encoding_run-3_bold,
summary_bg_k,40.6477,sub-27_ses-1_task-encoding_run-4_bold,
summary_bg_k,39.8835,sub-27_ses-1_task-encoding_run-5_bold,
summary_bg_k,38.9412,sub-27_ses-1_task-encoding_run-6_bold,
summary_bg_k,38.053,sub-27_ses-1_task-encoding_run-7_bold,
summary_bg_k,36.1696,sub-27_ses-1_task-encoding_run-8_bold,
summary_bg_k,47.0736,sub-27_ses-1_task-rest_run-1_bold,
summary_bg_k,37.0194,sub-27_ses-1_task-rest_run-2_bold,
summary_bg_k,44.3095,sub-27_ses-1_task-similarity_run-1_bold,
summary_bg_k,41.845,sub-27_ses-1_task-similarity_run-2_bold,
summary_bg_k,54.8767,sub-27_ses-2_task-encoding_run-1_bold,
summary_bg_k,50.0991,sub-27_ses-2_task-encoding_run-2_bold,
summary_bg_k,47.81,sub-27_ses-2_task-encoding_run-3_bold,
summary_bg_k,49.3915,sub-27_ses-2_task-encoding_run-4_bold,
summary_bg_k,47.5511,sub-27_ses-2_task-encoding_run-5_bold,
summary_bg_k,45.9893,sub-27_ses-2_task-encoding_run-6_bold,
summary_bg_k,46.0612,sub-27_ses-2_task-encoding_run-7_bold,
summary_bg_k,46.0989,sub-27_ses-2_task-encoding_run-8_bold,
summary_bg_k,46.1895,sub-27_ses-2_task-rest_run-1_bold,
summary_bg_k,47.9902,sub-27_ses-2_task-similarity_run-1_bold,
summary_bg_k,50.2321,sub-27_ses-2_task-similarity_run-2_bold,
summary_bg_k,56.5662,sub-28_ses-1_task-encoding_run-1_bold,
summary_bg_k,50.4485,sub-28_ses-1_task-encoding_run-2_bold,
summary_bg_k,53.1287,sub-28_ses-1_task-encoding_run-3_bold,
summary_bg_k,49.8089,sub-28_ses-1_task-encoding_run-4_bold,
summary_bg_k,52.6585,sub-28_ses-1_task-encoding_run-5_bold,
summary_bg_k,50.8099,sub-28_ses-1_task-encoding_run-6_bold,
summary_bg_k,45.3866,sub-28_ses-1_task-encoding_run-7_bold,
summary_bg_k,43.8438,sub-28_ses-1_task-encoding_run-8_bold,
summary_bg_k,54.8797,sub-28_ses-1_task-rest_run-1_bold,
summary_bg_k,42.9879,sub-28_ses-1_task-rest_run-2_bold,
summary_bg_k,55.415,sub-28_ses-1_task-similarity_run-1_bold,
summary_bg_k,54.6554,sub-28_ses-1_task-similarity_run-2_bold,
summary_bg_k,79.3733,sub-28_ses-2_task-encoding_run-1_bold,
summary_bg_k,75.5881,sub-28_ses-2_task-encoding_run-2_bold,
summary_bg_k,73.7054,sub-28_ses-2_task-encoding_run-3_bold,
summary_bg_k,71.4838,sub-28_ses-2_task-encoding_run-4_bold,
summary_bg_k,68.4005,sub-28_ses-2_task-encoding_run-5_bold,
summary_bg_k,66.2415,sub-28_ses-2_task-encoding_run-6_bold,
summary_bg_k,65.7851,sub-28_ses-2_task-encoding_run-7_bold,
summary_bg_k,64.0058,sub-28_ses-2_task-encoding_run-8_bold,
summary_bg_k,60.0918,sub-28_ses-2_task-rest_run-1_bold,
summary_bg_k,61.2921,sub-28_ses-2_task-similarity_run-1_bold,
summary_bg_k,56.1027,sub-28_ses-2_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-01_ses-1_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-01_ses-1_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-01_ses-1_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-01_ses-1_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-01_ses-1_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-01_ses-1_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-01_ses-1_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-01_ses-1_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-01_ses-1_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-01_ses-1_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-01_ses-1_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-01_ses-2_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-01_ses-2_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-01_ses-2_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-01_ses-2_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-01_ses-2_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-01_ses-2_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-01_ses-2_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-01_ses-2_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-01_ses-2_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-01_ses-2_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-01_ses-2_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-02_ses-1_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-02_ses-1_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-02_ses-1_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-02_ses-1_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-02_ses-1_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-02_ses-1_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-02_ses-1_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-02_ses-1_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-02_ses-1_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-02_ses-1_task-rest_run-2_bold,
summary_bg_p05,1.0,sub-02_ses-1_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-02_ses-1_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-02_ses-2_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-02_ses-2_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-02_ses-2_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-02_ses-2_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-02_ses-2_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-02_ses-2_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-02_ses-2_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-02_ses-2_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-02_ses-2_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-02_ses-2_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-02_ses-2_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-03_ses-1_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-03_ses-1_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-03_ses-1_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-03_ses-1_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-03_ses-1_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-03_ses-1_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-03_ses-1_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-03_ses-1_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-03_ses-1_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-03_ses-1_task-rest_run-2_bold,
summary_bg_p05,1.0,sub-03_ses-1_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-03_ses-1_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-03_ses-2_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-03_ses-2_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-03_ses-2_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-03_ses-2_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-03_ses-2_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-03_ses-2_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-03_ses-2_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-03_ses-2_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-03_ses-2_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-03_ses-2_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-03_ses-2_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-04_ses-1_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-04_ses-1_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-04_ses-1_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-04_ses-1_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-04_ses-1_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-04_ses-1_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-04_ses-1_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-04_ses-1_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-04_ses-1_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-04_ses-1_task-rest_run-2_bold,
summary_bg_p05,1.0,sub-04_ses-1_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-04_ses-1_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-04_ses-2_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-04_ses-2_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-04_ses-2_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-04_ses-2_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-04_ses-2_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-04_ses-2_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-04_ses-2_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-04_ses-2_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-04_ses-2_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-04_ses-2_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-04_ses-2_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-06_ses-1_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-06_ses-1_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-06_ses-1_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-06_ses-1_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-06_ses-1_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-06_ses-1_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-06_ses-1_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-06_ses-1_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-06_ses-1_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-06_ses-1_task-rest_run-2_bold,
summary_bg_p05,1.0,sub-06_ses-1_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-06_ses-1_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-06_ses-2_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-06_ses-2_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-06_ses-2_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-06_ses-2_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-06_ses-2_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-06_ses-2_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-06_ses-2_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-06_ses-2_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-06_ses-2_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-06_ses-2_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-06_ses-2_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-08_ses-1_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-08_ses-1_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-08_ses-1_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-08_ses-1_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-08_ses-1_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-08_ses-1_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-08_ses-1_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-08_ses-1_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-08_ses-1_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-08_ses-1_task-rest_run-2_bold,
summary_bg_p05,1.0,sub-08_ses-1_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-08_ses-1_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-08_ses-2_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-08_ses-2_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-08_ses-2_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-08_ses-2_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-08_ses-2_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-08_ses-2_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-08_ses-2_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-08_ses-2_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-08_ses-2_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-08_ses-2_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-08_ses-2_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-09_ses-1_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-09_ses-1_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-09_ses-1_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-09_ses-1_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-09_ses-1_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-09_ses-1_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-09_ses-1_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-09_ses-1_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-09_ses-1_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-09_ses-1_task-rest_run-2_bold,
summary_bg_p05,1.0,sub-09_ses-1_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-09_ses-1_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-09_ses-2_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-09_ses-2_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-09_ses-2_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-09_ses-2_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-09_ses-2_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-09_ses-2_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-09_ses-2_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-09_ses-2_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-09_ses-2_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-09_ses-2_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-09_ses-2_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-10_ses-1_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-10_ses-1_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-10_ses-1_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-10_ses-1_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-10_ses-1_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-10_ses-1_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-10_ses-1_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-10_ses-1_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-10_ses-1_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-10_ses-1_task-rest_run-2_bold,
summary_bg_p05,1.0,sub-10_ses-1_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-10_ses-1_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-10_ses-2_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-10_ses-2_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-10_ses-2_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-10_ses-2_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-10_ses-2_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-10_ses-2_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-10_ses-2_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-10_ses-2_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-10_ses-2_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-10_ses-2_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-10_ses-2_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-11_ses-1_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-11_ses-1_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-11_ses-1_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-11_ses-1_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-11_ses-1_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-11_ses-1_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-11_ses-1_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-11_ses-1_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-11_ses-1_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-11_ses-1_task-rest_run-2_bold,
summary_bg_p05,1.0,sub-11_ses-1_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-11_ses-1_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-11_ses-2_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-11_ses-2_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-11_ses-2_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-11_ses-2_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-11_ses-2_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-11_ses-2_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-11_ses-2_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-11_ses-2_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-11_ses-2_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-11_ses-2_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-11_ses-2_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-13_ses-1_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-13_ses-1_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-13_ses-1_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-13_ses-1_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-13_ses-1_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-13_ses-1_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-13_ses-1_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-13_ses-1_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-13_ses-1_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-13_ses-1_task-rest_run-2_bold,
summary_bg_p05,1.0,sub-13_ses-1_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-13_ses-1_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-13_ses-2_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-13_ses-2_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-13_ses-2_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-13_ses-2_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-13_ses-2_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-13_ses-2_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-13_ses-2_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-13_ses-2_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-13_ses-2_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-13_ses-2_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-13_ses-2_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-14_ses-1_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-14_ses-1_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-14_ses-1_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-14_ses-1_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-14_ses-1_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-14_ses-1_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-14_ses-1_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-14_ses-1_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-14_ses-1_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-14_ses-1_task-rest_run-2_bold,
summary_bg_p05,1.0,sub-14_ses-1_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-14_ses-1_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-14_ses-2_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-14_ses-2_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-14_ses-2_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-14_ses-2_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-14_ses-2_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-14_ses-2_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-14_ses-2_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-14_ses-2_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-14_ses-2_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-14_ses-2_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-14_ses-2_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-16_ses-1_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-16_ses-1_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-16_ses-1_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-16_ses-1_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-16_ses-1_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-16_ses-1_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-16_ses-1_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-16_ses-1_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-16_ses-1_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-16_ses-1_task-rest_run-2_bold,
summary_bg_p05,1.0,sub-16_ses-1_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-16_ses-1_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-16_ses-2_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-16_ses-2_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-16_ses-2_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-16_ses-2_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-16_ses-2_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-16_ses-2_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-16_ses-2_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-16_ses-2_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-16_ses-2_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-16_ses-2_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-16_ses-2_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-17_ses-1_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-17_ses-1_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-17_ses-1_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-17_ses-1_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-17_ses-1_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-17_ses-1_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-17_ses-1_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-17_ses-1_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-17_ses-1_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-17_ses-1_task-rest_run-2_bold,
summary_bg_p05,1.0,sub-17_ses-1_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-17_ses-1_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-17_ses-2_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-17_ses-2_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-17_ses-2_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-17_ses-2_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-17_ses-2_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-17_ses-2_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-17_ses-2_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-17_ses-2_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-17_ses-2_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-17_ses-2_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-17_ses-2_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-18_ses-1_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-18_ses-1_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-18_ses-1_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-18_ses-1_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-18_ses-1_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-18_ses-1_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-18_ses-1_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-18_ses-1_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-18_ses-1_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-18_ses-1_task-rest_run-2_bold,
summary_bg_p05,1.0,sub-18_ses-1_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-18_ses-1_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-18_ses-2_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-18_ses-2_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-18_ses-2_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-18_ses-2_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-18_ses-2_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-18_ses-2_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-18_ses-2_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-18_ses-2_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-18_ses-2_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-18_ses-2_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-18_ses-2_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-19_ses-1_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-19_ses-1_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-19_ses-1_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-19_ses-1_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-19_ses-1_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-19_ses-1_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-19_ses-1_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-19_ses-1_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-19_ses-1_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-19_ses-1_task-rest_run-2_bold,
summary_bg_p05,1.0,sub-19_ses-1_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-19_ses-1_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-19_ses-2_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-19_ses-2_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-19_ses-2_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-19_ses-2_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-19_ses-2_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-19_ses-2_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-19_ses-2_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-19_ses-2_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-19_ses-2_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-19_ses-2_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-19_ses-2_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-20_ses-1_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-20_ses-1_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-20_ses-1_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-20_ses-1_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-20_ses-1_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-20_ses-1_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-20_ses-1_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-20_ses-1_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-20_ses-1_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-20_ses-1_task-rest_run-2_bold,
summary_bg_p05,1.0,sub-20_ses-1_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-20_ses-1_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-20_ses-2_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-20_ses-2_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-20_ses-2_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-20_ses-2_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-20_ses-2_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-20_ses-2_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-20_ses-2_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-20_ses-2_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-20_ses-2_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-20_ses-2_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-20_ses-2_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-25_ses-1_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-25_ses-1_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-25_ses-1_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-25_ses-1_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-25_ses-1_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-25_ses-1_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-25_ses-1_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-25_ses-1_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-25_ses-1_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-25_ses-1_task-rest_run-2_bold,
summary_bg_p05,1.0,sub-25_ses-1_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-25_ses-1_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-25_ses-2_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-25_ses-2_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-25_ses-2_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-25_ses-2_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-25_ses-2_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-25_ses-2_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-25_ses-2_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-25_ses-2_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-25_ses-2_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-25_ses-2_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-25_ses-2_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-26_ses-1_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-26_ses-1_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-26_ses-1_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-26_ses-1_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-26_ses-1_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-26_ses-1_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-26_ses-1_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-26_ses-1_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-26_ses-1_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-26_ses-1_task-rest_run-2_bold,
summary_bg_p05,1.0,sub-26_ses-1_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-26_ses-1_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-26_ses-2_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-26_ses-2_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-26_ses-2_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-26_ses-2_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-26_ses-2_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-26_ses-2_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-26_ses-2_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-26_ses-2_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-26_ses-2_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-26_ses-2_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-26_ses-2_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-27_ses-1_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-27_ses-1_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-27_ses-1_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-27_ses-1_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-27_ses-1_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-27_ses-1_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-27_ses-1_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-27_ses-1_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-27_ses-1_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-27_ses-1_task-rest_run-2_bold,
summary_bg_p05,1.0,sub-27_ses-1_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-27_ses-1_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-27_ses-2_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-27_ses-2_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-27_ses-2_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-27_ses-2_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-27_ses-2_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-27_ses-2_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-27_ses-2_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-27_ses-2_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-27_ses-2_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-27_ses-2_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-27_ses-2_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-28_ses-1_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-28_ses-1_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-28_ses-1_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-28_ses-1_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-28_ses-1_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-28_ses-1_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-28_ses-1_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-28_ses-1_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-28_ses-1_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-28_ses-1_task-rest_run-2_bold,
summary_bg_p05,1.0,sub-28_ses-1_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-28_ses-1_task-similarity_run-2_bold,
summary_bg_p05,1.0,sub-28_ses-2_task-encoding_run-1_bold,
summary_bg_p05,1.0,sub-28_ses-2_task-encoding_run-2_bold,
summary_bg_p05,1.0,sub-28_ses-2_task-encoding_run-3_bold,
summary_bg_p05,1.0,sub-28_ses-2_task-encoding_run-4_bold,
summary_bg_p05,1.0,sub-28_ses-2_task-encoding_run-5_bold,
summary_bg_p05,1.0,sub-28_ses-2_task-encoding_run-6_bold,
summary_bg_p05,1.0,sub-28_ses-2_task-encoding_run-7_bold,
summary_bg_p05,1.0,sub-28_ses-2_task-encoding_run-8_bold,
summary_bg_p05,1.0,sub-28_ses-2_task-rest_run-1_bold,
summary_bg_p05,1.0,sub-28_ses-2_task-similarity_run-1_bold,
summary_bg_p05,1.0,sub-28_ses-2_task-similarity_run-2_bold,
summary_bg_p95,8.0,sub-01_ses-1_task-encoding_run-1_bold,
summary_bg_p95,8.0,sub-01_ses-1_task-encoding_run-2_bold,
summary_bg_p95,8.0,sub-01_ses-1_task-encoding_run-3_bold,
summary_bg_p95,8.0,sub-01_ses-1_task-encoding_run-4_bold,
summary_bg_p95,8.0,sub-01_ses-1_task-encoding_run-5_bold,
summary_bg_p95,8.0,sub-01_ses-1_task-encoding_run-6_bold,
summary_bg_p95,8.0,sub-01_ses-1_task-encoding_run-7_bold,
summary_bg_p95,8.0,sub-01_ses-1_task-encoding_run-8_bold,
summary_bg_p95,7.0,sub-01_ses-1_task-rest_run-1_bold,
summary_bg_p95,7.0,sub-01_ses-1_task-similarity_run-1_bold,
summary_bg_p95,8.0,sub-01_ses-1_task-similarity_run-2_bold,
summary_bg_p95,7.0,sub-01_ses-2_task-encoding_run-1_bold,
summary_bg_p95,7.0,sub-01_ses-2_task-encoding_run-2_bold,
summary_bg_p95,8.0,sub-01_ses-2_task-encoding_run-3_bold,
summary_bg_p95,8.0,sub-01_ses-2_task-encoding_run-4_bold,
summary_bg_p95,8.0,sub-01_ses-2_task-encoding_run-5_bold,
summary_bg_p95,8.0,sub-01_ses-2_task-encoding_run-6_bold,
summary_bg_p95,8.0,sub-01_ses-2_task-encoding_run-7_bold,
summary_bg_p95,8.0,sub-01_ses-2_task-encoding_run-8_bold,
summary_bg_p95,8.0,sub-01_ses-2_task-rest_run-1_bold,
summary_bg_p95,8.0,sub-01_ses-2_task-similarity_run-1_bold,
summary_bg_p95,8.0,sub-01_ses-2_task-similarity_run-2_bold,
summary_bg_p95,9.0,sub-02_ses-1_task-encoding_run-1_bold,
summary_bg_p95,9.0,sub-02_ses-1_task-encoding_run-2_bold,
summary_bg_p95,9.0,sub-02_ses-1_task-encoding_run-3_bold,
summary_bg_p95,9.0,sub-02_ses-1_task-encoding_run-4_bold,
summary_bg_p95,9.0,sub-02_ses-1_task-encoding_run-5_bold,
summary_bg_p95,9.0,sub-02_ses-1_task-encoding_run-6_bold,
summary_bg_p95,9.0,sub-02_ses-1_task-encoding_run-7_bold,
summary_bg_p95,9.0,sub-02_ses-1_task-encoding_run-8_bold,
summary_bg_p95,8.0,sub-02_ses-1_task-rest_run-1_bold,
summary_bg_p95,9.0,sub-02_ses-1_task-rest_run-2_bold,
summary_bg_p95,9.0,sub-02_ses-1_task-similarity_run-1_bold,
summary_bg_p95,9.0,sub-02_ses-1_task-similarity_run-2_bold,
summary_bg_p95,8.0,sub-02_ses-2_task-encoding_run-1_bold,
summary_bg_p95,8.0,sub-02_ses-2_task-encoding_run-2_bold,
summary_bg_p95,8.0,sub-02_ses-2_task-encoding_run-3_bold,
summary_bg_p95,9.0,sub-02_ses-2_task-encoding_run-4_bold,
summary_bg_p95,8.0,sub-02_ses-2_task-encoding_run-5_bold,
summary_bg_p95,9.0,sub-02_ses-2_task-encoding_run-6_bold,
summary_bg_p95,9.0,sub-02_ses-2_task-encoding_run-7_bold,
summary_bg_p95,9.0,sub-02_ses-2_task-encoding_run-8_bold,
summary_bg_p95,9.0,sub-02_ses-2_task-rest_run-1_bold,
summary_bg_p95,8.0,sub-02_ses-2_task-similarity_run-1_bold,
summary_bg_p95,9.0,sub-02_ses-2_task-similarity_run-2_bold,
summary_bg_p95,9.0,sub-03_ses-1_task-encoding_run-1_bold,
summary_bg_p95,9.0,sub-03_ses-1_task-encoding_run-2_bold,
summary_bg_p95,10.0,sub-03_ses-1_task-encoding_run-3_bold,
summary_bg_p95,9.0,sub-03_ses-1_task-encoding_run-4_bold,
summary_bg_p95,10.0,sub-03_ses-1_task-encoding_run-5_bold,
summary_bg_p95,10.0,sub-03_ses-1_task-encoding_run-6_bold,
summary_bg_p95,10.0,sub-03_ses-1_task-encoding_run-7_bold,
summary_bg_p95,9.0,sub-03_ses-1_task-encoding_run-8_bold,
summary_bg_p95,8.0,sub-03_ses-1_task-rest_run-1_bold,
summary_bg_p95,10.0,sub-03_ses-1_task-rest_run-2_bold,
summary_bg_p95,9.0,sub-03_ses-1_task-similarity_run-1_bold,
summary_bg_p95,9.0,sub-03_ses-1_task-similarity_run-2_bold,
summary_bg_p95,9.0,sub-03_ses-2_task-encoding_run-1_bold,
summary_bg_p95,9.0,sub-03_ses-2_task-encoding_run-2_bold,
summary_bg_p95,9.0,sub-03_ses-2_task-encoding_run-3_bold,
summary_bg_p95,9.0,sub-03_ses-2_task-encoding_run-4_bold,
summary_bg_p95,9.0,sub-03_ses-2_task-encoding_run-5_bold,
summary_bg_p95,9.0,sub-03_ses-2_task-encoding_run-6_bold,
summary_bg_p95,9.0,sub-03_ses-2_task-encoding_run-7_bold,
summary_bg_p95,9.0,sub-03_ses-2_task-encoding_run-8_bold,
summary_bg_p95,10.0,sub-03_ses-2_task-rest_run-1_bold,
summary_bg_p95,10.0,sub-03_ses-2_task-similarity_run-1_bold,
summary_bg_p95,10.0,sub-03_ses-2_task-similarity_run-2_bold,
summary_bg_p95,8.0,sub-04_ses-1_task-encoding_run-1_bold,
summary_bg_p95,8.0,sub-04_ses-1_task-encoding_run-2_bold,
summary_bg_p95,8.0,sub-04_ses-1_task-encoding_run-3_bold,
summary_bg_p95,8.0,sub-04_ses-1_task-encoding_run-4_bold,
summary_bg_p95,8.0,sub-04_ses-1_task-encoding_run-5_bold,
summary_bg_p95,8.0,sub-04_ses-1_task-encoding_run-6_bold,
summary_bg_p95,8.0,sub-04_ses-1_task-encoding_run-7_bold,
summary_bg_p95,8.0,sub-04_ses-1_task-encoding_run-8_bold,
summary_bg_p95,8.0,sub-04_ses-1_task-rest_run-1_bold,
summary_bg_p95,9.0,sub-04_ses-1_task-rest_run-2_bold,
summary_bg_p95,8.0,sub-04_ses-1_task-similarity_run-1_bold,
summary_bg_p95,8.0,sub-04_ses-1_task-similarity_run-2_bold,
summary_bg_p95,7.0,sub-04_ses-2_task-encoding_run-1_bold,
summary_bg_p95,8.0,sub-04_ses-2_task-encoding_run-2_bold,
summary_bg_p95,8.0,sub-04_ses-2_task-encoding_run-3_bold,
summary_bg_p95,8.0,sub-04_ses-2_task-encoding_run-4_bold,
summary_bg_p95,8.0,sub-04_ses-2_task-encoding_run-5_bold,
summary_bg_p95,8.0,sub-04_ses-2_task-encoding_run-6_bold,
summary_bg_p95,8.0,sub-04_ses-2_task-encoding_run-7_bold,
summary_bg_p95,8.0,sub-04_ses-2_task-encoding_run-8_bold,
summary_bg_p95,8.0,sub-04_ses-2_task-rest_run-1_bold,
summary_bg_p95,8.0,sub-04_ses-2_task-similarity_run-1_bold,
summary_bg_p95,9.0,sub-04_ses-2_task-similarity_run-2_bold,
summary_bg_p95,9.0,sub-06_ses-1_task-encoding_run-1_bold,
summary_bg_p95,10.0,sub-06_ses-1_task-encoding_run-2_bold,
summary_bg_p95,10.0,sub-06_ses-1_task-encoding_run-3_bold,
summary_bg_p95,10.0,sub-06_ses-1_task-encoding_run-4_bold,
summary_bg_p95,11.0,sub-06_ses-1_task-encoding_run-5_bold,
summary_bg_p95,11.0,sub-06_ses-1_task-encoding_run-6_bold,
summary_bg_p95,12.0,sub-06_ses-1_task-encoding_run-7_bold,
summary_bg_p95,12.0,sub-06_ses-1_task-encoding_run-8_bold,
summary_bg_p95,8.0,sub-06_ses-1_task-rest_run-1_bold,
summary_bg_p95,12.0,sub-06_ses-1_task-rest_run-2_bold,
summary_bg_p95,9.0,sub-06_ses-1_task-similarity_run-1_bold,
summary_bg_p95,9.0,sub-06_ses-1_task-similarity_run-2_bold,
summary_bg_p95,8.0,sub-06_ses-2_task-encoding_run-1_bold,
summary_bg_p95,9.0,sub-06_ses-2_task-encoding_run-2_bold,
summary_bg_p95,9.0,sub-06_ses-2_task-encoding_run-3_bold,
summary_bg_p95,9.0,sub-06_ses-2_task-encoding_run-4_bold,
summary_bg_p95,9.0,sub-06_ses-2_task-encoding_run-5_bold,
summary_bg_p95,10.0,sub-06_ses-2_task-encoding_run-6_bold,
summary_bg_p95,10.0,sub-06_ses-2_task-encoding_run-7_bold,
summary_bg_p95,11.0,sub-06_ses-2_task-encoding_run-8_bold,
summary_bg_p95,11.0,sub-06_ses-2_task-rest_run-1_bold,
summary_bg_p95,11.0,sub-06_ses-2_task-similarity_run-1_bold,
summary_bg_p95,13.0,sub-06_ses-2_task-similarity_run-2_bold,
summary_bg_p95,9.0,sub-08_ses-1_task-encoding_run-1_bold,
summary_bg_p95,9.0,sub-08_ses-1_task-encoding_run-2_bold,
summary_bg_p95,9.0,sub-08_ses-1_task-encoding_run-3_bold,
summary_bg_p95,9.0,sub-08_ses-1_task-encoding_run-4_bold,
summary_bg_p95,10.0,sub-08_ses-1_task-encoding_run-5_bold,
summary_bg_p95,10.0,sub-08_ses-1_task-encoding_run-6_bold,
summary_bg_p95,10.0,sub-08_ses-1_task-encoding_run-7_bold,
summary_bg_p95,10.0,sub-08_ses-1_task-encoding_run-8_bold,
summary_bg_p95,8.0,sub-08_ses-1_task-rest_run-1_bold,
summary_bg_p95,10.0,sub-08_ses-1_task-rest_run-2_bold,
summary_bg_p95,9.0,sub-08_ses-1_task-similarity_run-1_bold,
summary_bg_p95,9.0,sub-08_ses-1_task-similarity_run-2_bold,
summary_bg_p95,8.0,sub-08_ses-2_task-encoding_run-1_bold,
summary_bg_p95,8.0,sub-08_ses-2_task-encoding_run-2_bold,
summary_bg_p95,8.0,sub-08_ses-2_task-encoding_run-3_bold,
summary_bg_p95,9.0,sub-08_ses-2_task-encoding_run-4_bold,
summary_bg_p95,9.0,sub-08_ses-2_task-encoding_run-5_bold,
summary_bg_p95,9.0,sub-08_ses-2_task-encoding_run-6_bold,
summary_bg_p95,9.0,sub-08_ses-2_task-encoding_run-7_bold,
summary_bg_p95,9.0,sub-08_ses-2_task-encoding_run-8_bold,
summary_bg_p95,9.0,sub-08_ses-2_task-rest_run-1_bold,
summary_bg_p95,9.0,sub-08_ses-2_task-similarity_run-1_bold,
summary_bg_p95,9.0,sub-08_ses-2_task-similarity_run-2_bold,
summary_bg_p95,9.0,sub-09_ses-1_task-encoding_run-1_bold,
summary_bg_p95,9.0,sub-09_ses-1_task-encoding_run-2_bold,
summary_bg_p95,9.0,sub-09_ses-1_task-encoding_run-3_bold,
summary_bg_p95,9.0,sub-09_ses-1_task-encoding_run-4_bold,
summary_bg_p95,9.0,sub-09_ses-1_task-encoding_run-5_bold,
summary_bg_p95,9.0,sub-09_ses-1_task-encoding_run-6_bold,
summary_bg_p95,9.0,sub-09_ses-1_task-encoding_run-7_bold,
summary_bg_p95,9.0,sub-09_ses-1_task-encoding_run-8_bold,
summary_bg_p95,8.0,sub-09_ses-1_task-rest_run-1_bold,
summary_bg_p95,10.0,sub-09_ses-1_task-rest_run-2_bold,
summary_bg_p95,9.0,sub-09_ses-1_task-similarity_run-1_bold,
summary_bg_p95,9.0,sub-09_ses-1_task-similarity_run-2_bold,
summary_bg_p95,8.0,sub-09_ses-2_task-encoding_run-1_bold,
summary_bg_p95,8.0,sub-09_ses-2_task-encoding_run-2_bold,
summary_bg_p95,8.0,sub-09_ses-2_task-encoding_run-3_bold,
summary_bg_p95,8.0,sub-09_ses-2_task-encoding_run-4_bold,
summary_bg_p95,8.0,sub-09_ses-2_task-encoding_run-5_bold,
summary_bg_p95,8.0,sub-09_ses-2_task-encoding_run-6_bold,
summary_bg_p95,9.0,sub-09_ses-2_task-encoding_run-7_bold,
summary_bg_p95,9.0,sub-09_ses-2_task-encoding_run-8_bold,
summary_bg_p95,9.0,sub-09_ses-2_task-rest_run-1_bold,
summary_bg_p95,9.0,sub-09_ses-2_task-similarity_run-1_bold,
summary_bg_p95,9.0,sub-09_ses-2_task-similarity_run-2_bold,
summary_bg_p95,8.0,sub-10_ses-1_task-encoding_run-1_bold,
summary_bg_p95,8.0,sub-10_ses-1_task-encoding_run-2_bold,
summary_bg_p95,8.0,sub-10_ses-1_task-encoding_run-3_bold,
summary_bg_p95,9.0,sub-10_ses-1_task-encoding_run-4_bold,
summary_bg_p95,9.0,sub-10_ses-1_task-encoding_run-5_bold,
summary_bg_p95,9.0,sub-10_ses-1_task-encoding_run-6_bold,
summary_bg_p95,9.0,sub-10_ses-1_task-encoding_run-7_bold,
summary_bg_p95,9.0,sub-10_ses-1_task-encoding_run-8_bold,
summary_bg_p95,8.0,sub-10_ses-1_task-rest_run-1_bold,
summary_bg_p95,9.0,sub-10_ses-1_task-rest_run-2_bold,
summary_bg_p95,8.0,sub-10_ses-1_task-similarity_run-1_bold,
summary_bg_p95,8.0,sub-10_ses-1_task-similarity_run-2_bold,
summary_bg_p95,7.0,sub-10_ses-2_task-encoding_run-1_bold,
summary_bg_p95,8.0,sub-10_ses-2_task-encoding_run-2_bold,
summary_bg_p95,8.0,sub-10_ses-2_task-encoding_run-3_bold,
summary_bg_p95,8.0,sub-10_ses-2_task-encoding_run-4_bold,
summary_bg_p95,8.0,sub-10_ses-2_task-encoding_run-5_bold,
summary_bg_p95,8.0,sub-10_ses-2_task-encoding_run-6_bold,
summary_bg_p95,8.0,sub-10_ses-2_task-encoding_run-7_bold,
summary_bg_p95,8.0,sub-10_ses-2_task-encoding_run-8_bold,
summary_bg_p95,8.0,sub-10_ses-2_task-rest_run-1_bold,
summary_bg_p95,8.0,sub-10_ses-2_task-similarity_run-1_bold,
summary_bg_p95,8.0,sub-10_ses-2_task-similarity_run-2_bold,
summary_bg_p95,10.0,sub-11_ses-1_task-encoding_run-1_bold,
summary_bg_p95,10.0,sub-11_ses-1_task-encoding_run-2_bold,
summary_bg_p95,10.0,sub-11_ses-1_task-encoding_run-3_bold,
summary_bg_p95,10.0,sub-11_ses-1_task-encoding_run-4_bold,
summary_bg_p95,11.0,sub-11_ses-1_task-encoding_run-5_bold,
summary_bg_p95,10.0,sub-11_ses-1_task-encoding_run-6_bold,
summary_bg_p95,11.0,sub-11_ses-1_task-encoding_run-7_bold,
summary_bg_p95,10.0,sub-11_ses-1_task-encoding_run-8_bold,
summary_bg_p95,9.0,sub-11_ses-1_task-rest_run-1_bold,
summary_bg_p95,10.0,sub-11_ses-1_task-rest_run-2_bold,
summary_bg_p95,10.0,sub-11_ses-1_task-similarity_run-1_bold,
summary_bg_p95,10.0,sub-11_ses-1_task-similarity_run-2_bold,
summary_bg_p95,10.0,sub-11_ses-2_task-encoding_run-1_bold,
summary_bg_p95,10.0,sub-11_ses-2_task-encoding_run-2_bold,
summary_bg_p95,10.0,sub-11_ses-2_task-encoding_run-3_bold,
summary_bg_p95,10.0,sub-11_ses-2_task-encoding_run-4_bold,
summary_bg_p95,10.0,sub-11_ses-2_task-encoding_run-5_bold,
summary_bg_p95,10.0,sub-11_ses-2_task-encoding_run-6_bold,
summary_bg_p95,10.0,sub-11_ses-2_task-encoding_run-7_bold,
summary_bg_p95,10.0,sub-11_ses-2_task-encoding_run-8_bold,
summary_bg_p95,11.0,sub-11_ses-2_task-rest_run-1_bold,
summary_bg_p95,11.0,sub-11_ses-2_task-similarity_run-1_bold,
summary_bg_p95,11.0,sub-11_ses-2_task-similarity_run-2_bold,
summary_bg_p95,7.0,sub-13_ses-1_task-encoding_run-1_bold,
summary_bg_p95,8.0,sub-13_ses-1_task-encoding_run-2_bold,
summary_bg_p95,8.0,sub-13_ses-1_task-encoding_run-3_bold,
summary_bg_p95,8.0,sub-13_ses-1_task-encoding_run-4_bold,
summary_bg_p95,8.0,sub-13_ses-1_task-encoding_run-5_bold,
summary_bg_p95,8.0,sub-13_ses-1_task-encoding_run-6_bold,
summary_bg_p95,8.0,sub-13_ses-1_task-encoding_run-7_bold,
summary_bg_p95,8.0,sub-13_ses-1_task-encoding_run-8_bold,
summary_bg_p95,7.0,sub-13_ses-1_task-rest_run-1_bold,
summary_bg_p95,8.0,sub-13_ses-1_task-rest_run-2_bold,
summary_bg_p95,7.0,sub-13_ses-1_task-similarity_run-1_bold,
summary_bg_p95,7.0,sub-13_ses-1_task-similarity_run-2_bold,
summary_bg_p95,7.0,sub-13_ses-2_task-encoding_run-1_bold,
summary_bg_p95,7.0,sub-13_ses-2_task-encoding_run-2_bold,
summary_bg_p95,7.0,sub-13_ses-2_task-encoding_run-3_bold,
summary_bg_p95,7.0,sub-13_ses-2_task-encoding_run-4_bold,
summary_bg_p95,7.0,sub-13_ses-2_task-encoding_run-5_bold,
summary_bg_p95,8.0,sub-13_ses-2_task-encoding_run-6_bold,
summary_bg_p95,8.0,sub-13_ses-2_task-encoding_run-7_bold,
summary_bg_p95,8.0,sub-13_ses-2_task-encoding_run-8_bold,
summary_bg_p95,8.0,sub-13_ses-2_task-rest_run-1_bold,
summary_bg_p95,8.0,sub-13_ses-2_task-similarity_run-1_bold,
summary_bg_p95,8.0,sub-13_ses-2_task-similarity_run-2_bold,
summary_bg_p95,8.0,sub-14_ses-1_task-encoding_run-1_bold,
summary_bg_p95,8.0,sub-14_ses-1_task-encoding_run-2_bold,
summary_bg_p95,8.0,sub-14_ses-1_task-encoding_run-3_bold,
summary_bg_p95,8.0,sub-14_ses-1_task-encoding_run-4_bold,
summary_bg_p95,8.0,sub-14_ses-1_task-encoding_run-5_bold,
summary_bg_p95,8.0,sub-14_ses-1_task-encoding_run-6_bold,
summary_bg_p95,8.0,sub-14_ses-1_task-encoding_run-7_bold,
summary_bg_p95,8.0,sub-14_ses-1_task-encoding_run-8_bold,
summary_bg_p95,8.0,sub-14_ses-1_task-rest_run-1_bold,
summary_bg_p95,8.0,sub-14_ses-1_task-rest_run-2_bold,
summary_bg_p95,8.0,sub-14_ses-1_task-similarity_run-1_bold,
summary_bg_p95,8.0,sub-14_ses-1_task-similarity_run-2_bold,
summary_bg_p95,8.0,sub-14_ses-2_task-encoding_run-1_bold,
summary_bg_p95,9.0,sub-14_ses-2_task-encoding_run-2_bold,
summary_bg_p95,9.0,sub-14_ses-2_task-encoding_run-3_bold,
summary_bg_p95,9.0,sub-14_ses-2_task-encoding_run-4_bold,
summary_bg_p95,9.0,sub-14_ses-2_task-encoding_run-5_bold,
summary_bg_p95,9.0,sub-14_ses-2_task-encoding_run-6_bold,
summary_bg_p95,9.0,sub-14_ses-2_task-encoding_run-7_bold,
summary_bg_p95,9.0,sub-14_ses-2_task-encoding_run-8_bold,
summary_bg_p95,9.0,sub-14_ses-2_task-rest_run-1_bold,
summary_bg_p95,9.0,sub-14_ses-2_task-similarity_run-1_bold,
summary_bg_p95,9.0,sub-14_ses-2_task-similarity_run-2_bold,
summary_bg_p95,9.0,sub-16_ses-1_task-encoding_run-1_bold,
summary_bg_p95,9.0,sub-16_ses-1_task-encoding_run-2_bold,
summary_bg_p95,9.0,sub-16_ses-1_task-encoding_run-3_bold,
summary_bg_p95,9.0,sub-16_ses-1_task-encoding_run-4_bold,
summary_bg_p95,10.0,sub-16_ses-1_task-encoding_run-5_bold,
summary_bg_p95,10.0,sub-16_ses-1_task-encoding_run-6_bold,
summary_bg_p95,10.0,sub-16_ses-1_task-encoding_run-7_bold,
summary_bg_p95,10.0,sub-16_ses-1_task-encoding_run-8_bold,
summary_bg_p95,8.0,sub-16_ses-1_task-rest_run-1_bold,
summary_bg_p95,11.0,sub-16_ses-1_task-rest_run-2_bold,
summary_bg_p95,8.0,sub-16_ses-1_task-similarity_run-1_bold,
summary_bg_p95,8.0,sub-16_ses-1_task-similarity_run-2_bold,
summary_bg_p95,8.0,sub-16_ses-2_task-encoding_run-1_bold,
summary_bg_p95,8.0,sub-16_ses-2_task-encoding_run-2_bold,
summary_bg_p95,8.0,sub-16_ses-2_task-encoding_run-3_bold,
summary_bg_p95,8.0,sub-16_ses-2_task-encoding_run-4_bold,
summary_bg_p95,8.0,sub-16_ses-2_task-encoding_run-5_bold,
summary_bg_p95,9.0,sub-16_ses-2_task-encoding_run-6_bold,
summary_bg_p95,9.0,sub-16_ses-2_task-encoding_run-7_bold,
summary_bg_p95,9.0,sub-16_ses-2_task-encoding_run-8_bold,
summary_bg_p95,9.0,sub-16_ses-2_task-rest_run-1_bold,
summary_bg_p95,9.0,sub-16_ses-2_task-similarity_run-1_bold,
summary_bg_p95,10.0,sub-16_ses-2_task-similarity_run-2_bold,
summary_bg_p95,9.0,sub-17_ses-1_task-encoding_run-1_bold,
summary_bg_p95,9.0,sub-17_ses-1_task-encoding_run-2_bold,
summary_bg_p95,9.0,sub-17_ses-1_task-encoding_run-3_bold,
summary_bg_p95,9.0,sub-17_ses-1_task-encoding_run-4_bold,
summary_bg_p95,9.0,sub-17_ses-1_task-encoding_run-5_bold,
summary_bg_p95,9.0,sub-17_ses-1_task-encoding_run-6_bold,
summary_bg_p95,10.0,sub-17_ses-1_task-encoding_run-7_bold,
summary_bg_p95,10.0,sub-17_ses-1_task-encoding_run-8_bold,
summary_bg_p95,9.0,sub-17_ses-1_task-rest_run-1_bold,
summary_bg_p95,10.0,sub-17_ses-1_task-rest_run-2_bold,
summary_bg_p95,9.0,sub-17_ses-1_task-similarity_run-1_bold,
summary_bg_p95,9.0,sub-17_ses-1_task-similarity_run-2_bold,
summary_bg_p95,9.0,sub-17_ses-2_task-encoding_run-1_bold,
summary_bg_p95,9.0,sub-17_ses-2_task-encoding_run-2_bold,
summary_bg_p95,9.0,sub-17_ses-2_task-encoding_run-3_bold,
summary_bg_p95,9.0,sub-17_ses-2_task-encoding_run-4_bold,
summary_bg_p95,9.0,sub-17_ses-2_task-encoding_run-5_bold,
summary_bg_p95,9.0,sub-17_ses-2_task-encoding_run-6_bold,
summary_bg_p95,9.0,sub-17_ses-2_task-encoding_run-7_bold,
summary_bg_p95,10.0,sub-17_ses-2_task-encoding_run-8_bold,
summary_bg_p95,10.0,sub-17_ses-2_task-rest_run-1_bold,
summary_bg_p95,10.0,sub-17_ses-2_task-similarity_run-1_bold,
summary_bg_p95,10.0,sub-17_ses-2_task-similarity_run-2_bold,
summary_bg_p95,7.0,sub-18_ses-1_task-encoding_run-1_bold,
summary_bg_p95,7.0,sub-18_ses-1_task-encoding_run-2_bold,
summary_bg_p95,8.0,sub-18_ses-1_task-encoding_run-3_bold,
summary_bg_p95,8.0,sub-18_ses-1_task-encoding_run-4_bold,
summary_bg_p95,8.0,sub-18_ses-1_task-encoding_run-5_bold,
summary_bg_p95,9.0,sub-18_ses-1_task-encoding_run-6_bold,
summary_bg_p95,9.0,sub-18_ses-1_task-encoding_run-7_bold,
summary_bg_p95,9.0,sub-18_ses-1_task-encoding_run-8_bold,
summary_bg_p95,7.0,sub-18_ses-1_task-rest_run-1_bold,
summary_bg_p95,10.0,sub-18_ses-1_task-rest_run-2_bold,
summary_bg_p95,7.0,sub-18_ses-1_task-similarity_run-1_bold,
summary_bg_p95,7.0,sub-18_ses-1_task-similarity_run-2_bold,
summary_bg_p95,7.0,sub-18_ses-2_task-encoding_run-1_bold,
summary_bg_p95,7.0,sub-18_ses-2_task-encoding_run-2_bold,
summary_bg_p95,7.0,sub-18_ses-2_task-encoding_run-3_bold,
summary_bg_p95,7.0,sub-18_ses-2_task-encoding_run-4_bold,
summary_bg_p95,7.0,sub-18_ses-2_task-encoding_run-5_bold,
summary_bg_p95,8.0,sub-18_ses-2_task-encoding_run-6_bold,
summary_bg_p95,8.0,sub-18_ses-2_task-encoding_run-7_bold,
summary_bg_p95,8.0,sub-18_ses-2_task-encoding_run-8_bold,
summary_bg_p95,8.0,sub-18_ses-2_task-rest_run-1_bold,
summary_bg_p95,8.0,sub-18_ses-2_task-similarity_run-1_bold,
summary_bg_p95,9.0,sub-18_ses-2_task-similarity_run-2_bold,
summary_bg_p95,9.0,sub-19_ses-1_task-encoding_run-1_bold,
summary_bg_p95,9.0,sub-19_ses-1_task-encoding_run-2_bold,
summary_bg_p95,10.0,sub-19_ses-1_task-encoding_run-3_bold,
summary_bg_p95,10.0,sub-19_ses-1_task-encoding_run-4_bold,
summary_bg_p95,10.0,sub-19_ses-1_task-encoding_run-5_bold,
summary_bg_p95,10.0,sub-19_ses-1_task-encoding_run-6_bold,
summary_bg_p95,10.0,sub-19_ses-1_task-encoding_run-7_bold,
summary_bg_p95,10.0,sub-19_ses-1_task-encoding_run-8_bold,
summary_bg_p95,9.0,sub-19_ses-1_task-rest_run-1_bold,
summary_bg_p95,10.0,sub-19_ses-1_task-rest_run-2_bold,
summary_bg_p95,9.0,sub-19_ses-1_task-similarity_run-1_bold,
summary_bg_p95,9.0,sub-19_ses-1_task-similarity_run-2_bold,
summary_bg_p95,9.0,sub-19_ses-2_task-encoding_run-1_bold,
summary_bg_p95,9.0,sub-19_ses-2_task-encoding_run-2_bold,
summary_bg_p95,9.0,sub-19_ses-2_task-encoding_run-3_bold,
summary_bg_p95,9.0,sub-19_ses-2_task-encoding_run-4_bold,
summary_bg_p95,10.0,sub-19_ses-2_task-encoding_run-5_bold,
summary_bg_p95,10.0,sub-19_ses-2_task-encoding_run-6_bold,
summary_bg_p95,10.0,sub-19_ses-2_task-encoding_run-7_bold,
summary_bg_p95,10.0,sub-19_ses-2_task-encoding_run-8_bold,
summary_bg_p95,10.0,sub-19_ses-2_task-rest_run-1_bold,
summary_bg_p95,10.0,sub-19_ses-2_task-similarity_run-1_bold,
summary_bg_p95,10.0,sub-19_ses-2_task-similarity_run-2_bold,
summary_bg_p95,8.0,sub-20_ses-1_task-encoding_run-1_bold,
summary_bg_p95,9.0,sub-20_ses-1_task-encoding_run-2_bold,
summary_bg_p95,9.0,sub-20_ses-1_task-encoding_run-3_bold,
summary_bg_p95,9.0,sub-20_ses-1_task-encoding_run-4_bold,
summary_bg_p95,9.0,sub-20_ses-1_task-encoding_run-5_bold,
summary_bg_p95,9.0,sub-20_ses-1_task-encoding_run-6_bold,
summary_bg_p95,9.0,sub-20_ses-1_task-encoding_run-7_bold,
summary_bg_p95,9.0,sub-20_ses-1_task-encoding_run-8_bold,
summary_bg_p95,8.0,sub-20_ses-1_task-rest_run-1_bold,
summary_bg_p95,9.0,sub-20_ses-1_task-rest_run-2_bold,
summary_bg_p95,8.0,sub-20_ses-1_task-similarity_run-1_bold,
summary_bg_p95,8.0,sub-20_ses-1_task-similarity_run-2_bold,
summary_bg_p95,8.0,sub-20_ses-2_task-encoding_run-1_bold,
summary_bg_p95,8.0,sub-20_ses-2_task-encoding_run-2_bold,
summary_bg_p95,8.0,sub-20_ses-2_task-encoding_run-3_bold,
summary_bg_p95,8.0,sub-20_ses-2_task-encoding_run-4_bold,
summary_bg_p95,8.0,sub-20_ses-2_task-encoding_run-5_bold,
summary_bg_p95,8.0,sub-20_ses-2_task-encoding_run-6_bold,
summary_bg_p95,9.0,sub-20_ses-2_task-encoding_run-7_bold,
summary_bg_p95,9.0,sub-20_ses-2_task-encoding_run-8_bold,
summary_bg_p95,9.0,sub-20_ses-2_task-rest_run-1_bold,
summary_bg_p95,9.0,sub-20_ses-2_task-similarity_run-1_bold,
summary_bg_p95,9.0,sub-20_ses-2_task-similarity_run-2_bold,
summary_bg_p95,11.0,sub-25_ses-1_task-encoding_run-1_bold,
summary_bg_p95,11.0,sub-25_ses-1_task-encoding_run-2_bold,
summary_bg_p95,11.0,sub-25_ses-1_task-encoding_run-3_bold,
summary_bg_p95,11.0,sub-25_ses-1_task-encoding_run-4_bold,
summary_bg_p95,11.0,sub-25_ses-1_task-encoding_run-5_bold,
summary_bg_p95,11.0,sub-25_ses-1_task-encoding_run-6_bold,
summary_bg_p95,12.0,sub-25_ses-1_task-encoding_run-7_bold,
summary_bg_p95,12.0,sub-25_ses-1_task-encoding_run-8_bold,
summary_bg_p95,11.0,sub-25_ses-1_task-rest_run-1_bold,
summary_bg_p95,12.0,sub-25_ses-1_task-rest_run-2_bold,
summary_bg_p95,11.0,sub-25_ses-1_task-similarity_run-1_bold,
summary_bg_p95,11.0,sub-25_ses-1_task-similarity_run-2_bold,
summary_bg_p95,11.0,sub-25_ses-2_task-encoding_run-1_bold,
summary_bg_p95,11.0,sub-25_ses-2_task-encoding_run-2_bold,
summary_bg_p95,11.0,sub-25_ses-2_task-encoding_run-3_bold,
summary_bg_p95,11.0,sub-25_ses-2_task-encoding_run-4_bold,
summary_bg_p95,12.0,sub-25_ses-2_task-encoding_run-5_bold,
summary_bg_p95,12.0,sub-25_ses-2_task-encoding_run-6_bold,
summary_bg_p95,12.0,sub-25_ses-2_task-encoding_run-7_bold,
summary_bg_p95,12.0,sub-25_ses-2_task-encoding_run-8_bold,
summary_bg_p95,12.0,sub-25_ses-2_task-rest_run-1_bold,
summary_bg_p95,12.0,sub-25_ses-2_task-similarity_run-1_bold,
summary_bg_p95,12.0,sub-25_ses-2_task-similarity_run-2_bold,
summary_bg_p95,9.0,sub-26_ses-1_task-encoding_run-1_bold,
summary_bg_p95,9.0,sub-26_ses-1_task-encoding_run-2_bold,
summary_bg_p95,9.0,sub-26_ses-1_task-encoding_run-3_bold,
summary_bg_p95,9.0,sub-26_ses-1_task-encoding_run-4_bold,
summary_bg_p95,10.0,sub-26_ses-1_task-encoding_run-5_bold,
summary_bg_p95,10.0,sub-26_ses-1_task-encoding_run-6_bold,
summary_bg_p95,10.0,sub-26_ses-1_task-encoding_run-7_bold,
summary_bg_p95,10.0,sub-26_ses-1_task-encoding_run-8_bold,
summary_bg_p95,8.0,sub-26_ses-1_task-rest_run-1_bold,
summary_bg_p95,10.0,sub-26_ses-1_task-rest_run-2_bold,
summary_bg_p95,8.0,sub-26_ses-1_task-similarity_run-1_bold,
summary_bg_p95,9.0,sub-26_ses-1_task-similarity_run-2_bold,
summary_bg_p95,8.0,sub-26_ses-2_task-encoding_run-1_bold,
summary_bg_p95,8.0,sub-26_ses-2_task-encoding_run-2_bold,
summary_bg_p95,8.0,sub-26_ses-2_task-encoding_run-3_bold,
summary_bg_p95,8.0,sub-26_ses-2_task-encoding_run-4_bold,
summary_bg_p95,8.0,sub-26_ses-2_task-encoding_run-5_bold,
summary_bg_p95,8.0,sub-26_ses-2_task-encoding_run-6_bold,
summary_bg_p95,8.0,sub-26_ses-2_task-encoding_run-7_bold,
summary_bg_p95,9.0,sub-26_ses-2_task-encoding_run-8_bold,
summary_bg_p95,9.0,sub-26_ses-2_task-rest_run-1_bold,
summary_bg_p95,9.0,sub-26_ses-2_task-similarity_run-1_bold,
summary_bg_p95,9.0,sub-26_ses-2_task-similarity_run-2_bold,
summary_bg_p95,13.0,sub-27_ses-1_task-encoding_run-1_bold,
summary_bg_p95,13.0,sub-27_ses-1_task-encoding_run-2_bold,
summary_bg_p95,13.0,sub-27_ses-1_task-encoding_run-3_bold,
summary_bg_p95,13.0,sub-27_ses-1_task-encoding_run-4_bold,
summary_bg_p95,14.0,sub-27_ses-1_task-encoding_run-5_bold,
summary_bg_p95,13.0,sub-27_ses-1_task-encoding_run-6_bold,
summary_bg_p95,14.0,sub-27_ses-1_task-encoding_run-7_bold,
summary_bg_p95,14.0,sub-27_ses-1_task-encoding_run-8_bold,
summary_bg_p95,12.0,sub-27_ses-1_task-rest_run-1_bold,
summary_bg_p95,14.0,sub-27_ses-1_task-rest_run-2_bold,
summary_bg_p95,12.0,sub-27_ses-1_task-similarity_run-1_bold,
summary_bg_p95,13.0,sub-27_ses-1_task-similarity_run-2_bold,
summary_bg_p95,12.0,sub-27_ses-2_task-encoding_run-1_bold,
summary_bg_p95,12.0,sub-27_ses-2_task-encoding_run-2_bold,
summary_bg_p95,12.0,sub-27_ses-2_task-encoding_run-3_bold,
summary_bg_p95,12.0,sub-27_ses-2_task-encoding_run-4_bold,
summary_bg_p95,12.0,sub-27_ses-2_task-encoding_run-5_bold,
summary_bg_p95,13.0,sub-27_ses-2_task-encoding_run-6_bold,
summary_bg_p95,13.0,sub-27_ses-2_task-encoding_run-7_bold,
summary_bg_p95,13.0,sub-27_ses-2_task-encoding_run-8_bold,
summary_bg_p95,13.0,sub-27_ses-2_task-rest_run-1_bold,
summary_bg_p95,13.0,sub-27_ses-2_task-similarity_run-1_bold,
summary_bg_p95,13.0,sub-27_ses-2_task-similarity_run-2_bold,
summary_bg_p95,8.0,sub-28_ses-1_task-encoding_run-1_bold,
summary_bg_p95,9.0,sub-28_ses-1_task-encoding_run-2_bold,
summary_bg_p95,9.0,sub-28_ses-1_task-encoding_run-3_bold,
summary_bg_p95,9.0,sub-28_ses-1_task-encoding_run-4_bold,
summary_bg_p95,9.0,sub-28_ses-1_task-encoding_run-5_bold,
summary_bg_p95,9.0,sub-28_ses-1_task-encoding_run-6_bold,
summary_bg_p95,9.0,sub-28_ses-1_task-encoding_run-7_bold,
summary_bg_p95,9.0,sub-28_ses-1_task-encoding_run-8_bold,
summary_bg_p95,8.0,sub-28_ses-1_task-rest_run-1_bold,
summary_bg_p95,9.0,sub-28_ses-1_task-rest_run-2_bold,
summary_bg_p95,8.0,sub-28_ses-1_task-similarity_run-1_bold,
summary_bg_p95,8.0,sub-28_ses-1_task-similarity_run-2_bold,
summary_bg_p95,7.0,sub-28_ses-2_task-encoding_run-1_bold,
summary_bg_p95,7.0,sub-28_ses-2_task-encoding_run-2_bold,
summary_bg_p95,7.0,sub-28_ses-2_task-encoding_run-3_bold,
summary_bg_p95,7.0,sub-28_ses-2_task-encoding_run-4_bold,
summary_bg_p95,7.0,sub-28_ses-2_task-encoding_run-5_bold,
summary_bg_p95,8.0,sub-28_ses-2_task-encoding_run-6_bold,
summary_bg_p95,8.0,sub-28_ses-2_task-encoding_run-7_bold,
summary_bg_p95,8.0,sub-28_ses-2_task-encoding_run-8_bold,
summary_bg_p95,8.0,sub-28_ses-2_task-rest_run-1_bold,
summary_bg_p95,8.0,sub-28_ses-2_task-similarity_run-1_bold,
summary_bg_p95,9.0,sub-28_ses-2_task-similarity_run-2_bold,
</pre>
<div class="chart-wrapper" id="chart-group16"></div>
<pre class="csvdata" id="data-csv16" style="display: none">
iqm,value,label,units
summary_fg_mean,45.8812,sub-01_ses-1_task-encoding_run-1_bold,
summary_fg_mean,46.1163,sub-01_ses-1_task-encoding_run-2_bold,
summary_fg_mean,45.9748,sub-01_ses-1_task-encoding_run-3_bold,
summary_fg_mean,46.3232,sub-01_ses-1_task-encoding_run-4_bold,
summary_fg_mean,46.4114,sub-01_ses-1_task-encoding_run-5_bold,
summary_fg_mean,46.6039,sub-01_ses-1_task-encoding_run-6_bold,
summary_fg_mean,46.4467,sub-01_ses-1_task-encoding_run-7_bold,
summary_fg_mean,46.6381,sub-01_ses-1_task-encoding_run-8_bold,
summary_fg_mean,46.1527,sub-01_ses-1_task-rest_run-1_bold,
summary_fg_mean,45.5945,sub-01_ses-1_task-similarity_run-1_bold,
summary_fg_mean,46.1313,sub-01_ses-1_task-similarity_run-2_bold,
summary_fg_mean,46.1393,sub-01_ses-2_task-encoding_run-1_bold,
summary_fg_mean,46.8066,sub-01_ses-2_task-encoding_run-2_bold,
summary_fg_mean,46.6893,sub-01_ses-2_task-encoding_run-3_bold,
summary_fg_mean,46.7648,sub-01_ses-2_task-encoding_run-4_bold,
summary_fg_mean,47.1586,sub-01_ses-2_task-encoding_run-5_bold,
summary_fg_mean,47.1901,sub-01_ses-2_task-encoding_run-6_bold,
summary_fg_mean,47.9067,sub-01_ses-2_task-encoding_run-7_bold,
summary_fg_mean,48.0486,sub-01_ses-2_task-encoding_run-8_bold,
summary_fg_mean,48.295,sub-01_ses-2_task-rest_run-1_bold,
summary_fg_mean,47.9528,sub-01_ses-2_task-similarity_run-1_bold,
summary_fg_mean,47.6047,sub-01_ses-2_task-similarity_run-2_bold,
summary_fg_mean,41.2535,sub-02_ses-1_task-encoding_run-1_bold,
summary_fg_mean,40.4285,sub-02_ses-1_task-encoding_run-2_bold,
summary_fg_mean,40.5707,sub-02_ses-1_task-encoding_run-3_bold,
summary_fg_mean,40.6911,sub-02_ses-1_task-encoding_run-4_bold,
summary_fg_mean,40.9201,sub-02_ses-1_task-encoding_run-5_bold,
summary_fg_mean,40.9268,sub-02_ses-1_task-encoding_run-6_bold,
summary_fg_mean,40.9581,sub-02_ses-1_task-encoding_run-7_bold,
summary_fg_mean,40.8384,sub-02_ses-1_task-encoding_run-8_bold,
summary_fg_mean,38.7382,sub-02_ses-1_task-rest_run-1_bold,
summary_fg_mean,41.1026,sub-02_ses-1_task-rest_run-2_bold,
summary_fg_mean,39.8867,sub-02_ses-1_task-similarity_run-1_bold,
summary_fg_mean,40.0119,sub-02_ses-1_task-similarity_run-2_bold,
summary_fg_mean,39.5151,sub-02_ses-2_task-encoding_run-1_bold,
summary_fg_mean,39.1836,sub-02_ses-2_task-encoding_run-2_bold,
summary_fg_mean,39.4184,sub-02_ses-2_task-encoding_run-3_bold,
summary_fg_mean,40.2148,sub-02_ses-2_task-encoding_run-4_bold,
summary_fg_mean,39.344,sub-02_ses-2_task-encoding_run-5_bold,
summary_fg_mean,40.1624,sub-02_ses-2_task-encoding_run-6_bold,
summary_fg_mean,40.0742,sub-02_ses-2_task-encoding_run-7_bold,
summary_fg_mean,39.7343,sub-02_ses-2_task-encoding_run-8_bold,
summary_fg_mean,40.2423,sub-02_ses-2_task-rest_run-1_bold,
summary_fg_mean,38.3855,sub-02_ses-2_task-similarity_run-1_bold,
summary_fg_mean,38.72,sub-02_ses-2_task-similarity_run-2_bold,
summary_fg_mean,37.5184,sub-03_ses-1_task-encoding_run-1_bold,
summary_fg_mean,37.024,sub-03_ses-1_task-encoding_run-2_bold,
summary_fg_mean,37.3618,sub-03_ses-1_task-encoding_run-3_bold,
summary_fg_mean,36.7939,sub-03_ses-1_task-encoding_run-4_bold,
summary_fg_mean,37.5614,sub-03_ses-1_task-encoding_run-5_bold,
summary_fg_mean,38.3593,sub-03_ses-1_task-encoding_run-6_bold,
summary_fg_mean,37.9957,sub-03_ses-1_task-encoding_run-7_bold,
summary_fg_mean,37.4625,sub-03_ses-1_task-encoding_run-8_bold,
summary_fg_mean,36.8692,sub-03_ses-1_task-rest_run-1_bold,
summary_fg_mean,37.7689,sub-03_ses-1_task-rest_run-2_bold,
summary_fg_mean,37.4043,sub-03_ses-1_task-similarity_run-1_bold,
summary_fg_mean,37.3027,sub-03_ses-1_task-similarity_run-2_bold,
summary_fg_mean,36.0009,sub-03_ses-2_task-encoding_run-1_bold,
summary_fg_mean,35.5765,sub-03_ses-2_task-encoding_run-2_bold,
summary_fg_mean,35.5977,sub-03_ses-2_task-encoding_run-3_bold,
summary_fg_mean,35.2173,sub-03_ses-2_task-encoding_run-4_bold,
summary_fg_mean,35.9447,sub-03_ses-2_task-encoding_run-5_bold,
summary_fg_mean,35.2822,sub-03_ses-2_task-encoding_run-6_bold,
summary_fg_mean,35.2321,sub-03_ses-2_task-encoding_run-7_bold,
summary_fg_mean,35.0704,sub-03_ses-2_task-encoding_run-8_bold,
summary_fg_mean,35.634,sub-03_ses-2_task-rest_run-1_bold,
summary_fg_mean,35.8778,sub-03_ses-2_task-similarity_run-1_bold,
summary_fg_mean,35.3985,sub-03_ses-2_task-similarity_run-2_bold,
summary_fg_mean,45.3443,sub-04_ses-1_task-encoding_run-1_bold,
summary_fg_mean,45.9882,sub-04_ses-1_task-encoding_run-2_bold,
summary_fg_mean,45.4988,sub-04_ses-1_task-encoding_run-3_bold,
summary_fg_mean,45.7419,sub-04_ses-1_task-encoding_run-4_bold,
summary_fg_mean,45.8237,sub-04_ses-1_task-encoding_run-5_bold,
summary_fg_mean,45.5642,sub-04_ses-1_task-encoding_run-6_bold,
summary_fg_mean,45.5656,sub-04_ses-1_task-encoding_run-7_bold,
summary_fg_mean,45.3486,sub-04_ses-1_task-encoding_run-8_bold,
summary_fg_mean,44.7852,sub-04_ses-1_task-rest_run-1_bold,
summary_fg_mean,45.5294,sub-04_ses-1_task-rest_run-2_bold,
summary_fg_mean,44.8934,sub-04_ses-1_task-similarity_run-1_bold,
summary_fg_mean,45.2311,sub-04_ses-1_task-similarity_run-2_bold,
summary_fg_mean,43.3941,sub-04_ses-2_task-encoding_run-1_bold,
summary_fg_mean,43.3251,sub-04_ses-2_task-encoding_run-2_bold,
summary_fg_mean,44.1225,sub-04_ses-2_task-encoding_run-3_bold,
summary_fg_mean,43.9063,sub-04_ses-2_task-encoding_run-4_bold,
summary_fg_mean,43.5446,sub-04_ses-2_task-encoding_run-5_bold,
summary_fg_mean,43.6622,sub-04_ses-2_task-encoding_run-6_bold,
summary_fg_mean,44.3963,sub-04_ses-2_task-encoding_run-7_bold,
summary_fg_mean,44.6485,sub-04_ses-2_task-encoding_run-8_bold,
summary_fg_mean,44.7558,sub-04_ses-2_task-rest_run-1_bold,
summary_fg_mean,44.6053,sub-04_ses-2_task-similarity_run-1_bold,
summary_fg_mean,44.6181,sub-04_ses-2_task-similarity_run-2_bold,
summary_fg_mean,39.6155,sub-06_ses-1_task-encoding_run-1_bold,
summary_fg_mean,39.0577,sub-06_ses-1_task-encoding_run-2_bold,
summary_fg_mean,38.994,sub-06_ses-1_task-encoding_run-3_bold,
summary_fg_mean,39.4459,sub-06_ses-1_task-encoding_run-4_bold,
summary_fg_mean,39.2709,sub-06_ses-1_task-encoding_run-5_bold,
summary_fg_mean,40.2429,sub-06_ses-1_task-encoding_run-6_bold,
summary_fg_mean,40.1499,sub-06_ses-1_task-encoding_run-7_bold,
summary_fg_mean,39.4712,sub-06_ses-1_task-encoding_run-8_bold,
summary_fg_mean,38.9113,sub-06_ses-1_task-rest_run-1_bold,
summary_fg_mean,40.3731,sub-06_ses-1_task-rest_run-2_bold,
summary_fg_mean,38.6523,sub-06_ses-1_task-similarity_run-1_bold,
summary_fg_mean,38.5376,sub-06_ses-1_task-similarity_run-2_bold,
summary_fg_mean,40.9869,sub-06_ses-2_task-encoding_run-1_bold,
summary_fg_mean,40.7932,sub-06_ses-2_task-encoding_run-2_bold,
summary_fg_mean,41.1888,sub-06_ses-2_task-encoding_run-3_bold,
summary_fg_mean,41.7276,sub-06_ses-2_task-encoding_run-4_bold,
summary_fg_mean,41.7373,sub-06_ses-2_task-encoding_run-5_bold,
summary_fg_mean,41.9121,sub-06_ses-2_task-encoding_run-6_bold,
summary_fg_mean,41.89,sub-06_ses-2_task-encoding_run-7_bold,
summary_fg_mean,41.4284,sub-06_ses-2_task-encoding_run-8_bold,
summary_fg_mean,42.4787,sub-06_ses-2_task-rest_run-1_bold,
summary_fg_mean,42.8012,sub-06_ses-2_task-similarity_run-1_bold,
summary_fg_mean,43.1301,sub-06_ses-2_task-similarity_run-2_bold,
summary_fg_mean,45.296,sub-08_ses-1_task-encoding_run-1_bold,
summary_fg_mean,46.0113,sub-08_ses-1_task-encoding_run-2_bold,
summary_fg_mean,45.6899,sub-08_ses-1_task-encoding_run-3_bold,
summary_fg_mean,45.3576,sub-08_ses-1_task-encoding_run-4_bold,
summary_fg_mean,45.3603,sub-08_ses-1_task-encoding_run-5_bold,
summary_fg_mean,45.6571,sub-08_ses-1_task-encoding_run-6_bold,
summary_fg_mean,45.9879,sub-08_ses-1_task-encoding_run-7_bold,
summary_fg_mean,46.1157,sub-08_ses-1_task-encoding_run-8_bold,
summary_fg_mean,44.2166,sub-08_ses-1_task-rest_run-1_bold,
summary_fg_mean,46.1235,sub-08_ses-1_task-rest_run-2_bold,
summary_fg_mean,44.6798,sub-08_ses-1_task-similarity_run-1_bold,
summary_fg_mean,45.1507,sub-08_ses-1_task-similarity_run-2_bold,
summary_fg_mean,43.0507,sub-08_ses-2_task-encoding_run-1_bold,
summary_fg_mean,43.9138,sub-08_ses-2_task-encoding_run-2_bold,
summary_fg_mean,43.6704,sub-08_ses-2_task-encoding_run-3_bold,
summary_fg_mean,43.7156,sub-08_ses-2_task-encoding_run-4_bold,
summary_fg_mean,43.4349,sub-08_ses-2_task-encoding_run-5_bold,
summary_fg_mean,44.0592,sub-08_ses-2_task-encoding_run-6_bold,
summary_fg_mean,43.8855,sub-08_ses-2_task-encoding_run-7_bold,
summary_fg_mean,43.8641,sub-08_ses-2_task-encoding_run-8_bold,
summary_fg_mean,43.8279,sub-08_ses-2_task-rest_run-1_bold,
summary_fg_mean,44.4229,sub-08_ses-2_task-similarity_run-1_bold,
summary_fg_mean,44.3396,sub-08_ses-2_task-similarity_run-2_bold,
summary_fg_mean,49.3544,sub-09_ses-1_task-encoding_run-1_bold,
summary_fg_mean,49.0751,sub-09_ses-1_task-encoding_run-2_bold,
summary_fg_mean,48.9873,sub-09_ses-1_task-encoding_run-3_bold,
summary_fg_mean,49.1001,sub-09_ses-1_task-encoding_run-4_bold,
summary_fg_mean,48.888,sub-09_ses-1_task-encoding_run-5_bold,
summary_fg_mean,49.6865,sub-09_ses-1_task-encoding_run-6_bold,
summary_fg_mean,49.1544,sub-09_ses-1_task-encoding_run-7_bold,
summary_fg_mean,49.0284,sub-09_ses-1_task-encoding_run-8_bold,
summary_fg_mean,48.2038,sub-09_ses-1_task-rest_run-1_bold,
summary_fg_mean,49.435,sub-09_ses-1_task-rest_run-2_bold,
summary_fg_mean,48.9276,sub-09_ses-1_task-similarity_run-1_bold,
summary_fg_mean,48.7994,sub-09_ses-1_task-similarity_run-2_bold,
summary_fg_mean,49.6902,sub-09_ses-2_task-encoding_run-1_bold,
summary_fg_mean,48.9809,sub-09_ses-2_task-encoding_run-2_bold,
summary_fg_mean,49.7783,sub-09_ses-2_task-encoding_run-3_bold,
summary_fg_mean,49.485,sub-09_ses-2_task-encoding_run-4_bold,
summary_fg_mean,49.4657,sub-09_ses-2_task-encoding_run-5_bold,
summary_fg_mean,50.0805,sub-09_ses-2_task-encoding_run-6_bold,
summary_fg_mean,49.9259,sub-09_ses-2_task-encoding_run-7_bold,
summary_fg_mean,49.7705,sub-09_ses-2_task-encoding_run-8_bold,
summary_fg_mean,50.2883,sub-09_ses-2_task-rest_run-1_bold,
summary_fg_mean,49.9836,sub-09_ses-2_task-similarity_run-1_bold,
summary_fg_mean,49.8005,sub-09_ses-2_task-similarity_run-2_bold,
summary_fg_mean,45.8139,sub-10_ses-1_task-encoding_run-1_bold,
summary_fg_mean,46.1644,sub-10_ses-1_task-encoding_run-2_bold,
summary_fg_mean,46.0792,sub-10_ses-1_task-encoding_run-3_bold,
summary_fg_mean,46.2615,sub-10_ses-1_task-encoding_run-4_bold,
summary_fg_mean,46.1315,sub-10_ses-1_task-encoding_run-5_bold,
summary_fg_mean,46.5616,sub-10_ses-1_task-encoding_run-6_bold,
summary_fg_mean,46.5714,sub-10_ses-1_task-encoding_run-7_bold,
summary_fg_mean,46.3629,sub-10_ses-1_task-encoding_run-8_bold,
summary_fg_mean,44.372,sub-10_ses-1_task-rest_run-1_bold,
summary_fg_mean,46.8809,sub-10_ses-1_task-rest_run-2_bold,
summary_fg_mean,45.014,sub-10_ses-1_task-similarity_run-1_bold,
summary_fg_mean,45.5885,sub-10_ses-1_task-similarity_run-2_bold,
summary_fg_mean,44.8841,sub-10_ses-2_task-encoding_run-1_bold,
summary_fg_mean,45.009,sub-10_ses-2_task-encoding_run-2_bold,
summary_fg_mean,45.5266,sub-10_ses-2_task-encoding_run-3_bold,
summary_fg_mean,45.673,sub-10_ses-2_task-encoding_run-4_bold,
summary_fg_mean,46.0242,sub-10_ses-2_task-encoding_run-5_bold,
summary_fg_mean,45.9582,sub-10_ses-2_task-encoding_run-6_bold,
summary_fg_mean,45.8565,sub-10_ses-2_task-encoding_run-7_bold,
summary_fg_mean,45.9965,sub-10_ses-2_task-encoding_run-8_bold,
summary_fg_mean,45.7598,sub-10_ses-2_task-rest_run-1_bold,
summary_fg_mean,45.9448,sub-10_ses-2_task-similarity_run-1_bold,
summary_fg_mean,46.0572,sub-10_ses-2_task-similarity_run-2_bold,
summary_fg_mean,44.2761,sub-11_ses-1_task-encoding_run-1_bold,
summary_fg_mean,44.4242,sub-11_ses-1_task-encoding_run-2_bold,
summary_fg_mean,44.1648,sub-11_ses-1_task-encoding_run-3_bold,
summary_fg_mean,44.5748,sub-11_ses-1_task-encoding_run-4_bold,
summary_fg_mean,44.9819,sub-11_ses-1_task-encoding_run-5_bold,
summary_fg_mean,45.1924,sub-11_ses-1_task-encoding_run-6_bold,
summary_fg_mean,45.3022,sub-11_ses-1_task-encoding_run-7_bold,
summary_fg_mean,45.0396,sub-11_ses-1_task-encoding_run-8_bold,
summary_fg_mean,43.5873,sub-11_ses-1_task-rest_run-1_bold,
summary_fg_mean,45.1959,sub-11_ses-1_task-rest_run-2_bold,
summary_fg_mean,43.7495,sub-11_ses-1_task-similarity_run-1_bold,
summary_fg_mean,44.0528,sub-11_ses-1_task-similarity_run-2_bold,
summary_fg_mean,42.1232,sub-11_ses-2_task-encoding_run-1_bold,
summary_fg_mean,42.526,sub-11_ses-2_task-encoding_run-2_bold,
summary_fg_mean,42.3807,sub-11_ses-2_task-encoding_run-3_bold,
summary_fg_mean,42.7618,sub-11_ses-2_task-encoding_run-4_bold,
summary_fg_mean,43.0827,sub-11_ses-2_task-encoding_run-5_bold,
summary_fg_mean,43.4725,sub-11_ses-2_task-encoding_run-6_bold,
summary_fg_mean,43.3911,sub-11_ses-2_task-encoding_run-7_bold,
summary_fg_mean,43.1503,sub-11_ses-2_task-encoding_run-8_bold,
summary_fg_mean,43.5715,sub-11_ses-2_task-rest_run-1_bold,
summary_fg_mean,43.6195,sub-11_ses-2_task-similarity_run-1_bold,
summary_fg_mean,44.1208,sub-11_ses-2_task-similarity_run-2_bold,
summary_fg_mean,47.0517,sub-13_ses-1_task-encoding_run-1_bold,
summary_fg_mean,47.0754,sub-13_ses-1_task-encoding_run-2_bold,
summary_fg_mean,47.1243,sub-13_ses-1_task-encoding_run-3_bold,
summary_fg_mean,46.74,sub-13_ses-1_task-encoding_run-4_bold,
summary_fg_mean,46.9563,sub-13_ses-1_task-encoding_run-5_bold,
summary_fg_mean,46.9598,sub-13_ses-1_task-encoding_run-6_bold,
summary_fg_mean,47.4872,sub-13_ses-1_task-encoding_run-7_bold,
summary_fg_mean,47.1639,sub-13_ses-1_task-encoding_run-8_bold,
summary_fg_mean,46.4447,sub-13_ses-1_task-rest_run-1_bold,
summary_fg_mean,47.3271,sub-13_ses-1_task-rest_run-2_bold,
summary_fg_mean,46.823,sub-13_ses-1_task-similarity_run-1_bold,
summary_fg_mean,46.8105,sub-13_ses-1_task-similarity_run-2_bold,
summary_fg_mean,46.7034,sub-13_ses-2_task-encoding_run-1_bold,
summary_fg_mean,47.1074,sub-13_ses-2_task-encoding_run-2_bold,
summary_fg_mean,47.0386,sub-13_ses-2_task-encoding_run-3_bold,
summary_fg_mean,47.1461,sub-13_ses-2_task-encoding_run-4_bold,
summary_fg_mean,47.494,sub-13_ses-2_task-encoding_run-5_bold,
summary_fg_mean,47.7004,sub-13_ses-2_task-encoding_run-6_bold,
summary_fg_mean,47.6622,sub-13_ses-2_task-encoding_run-7_bold,
summary_fg_mean,47.662,sub-13_ses-2_task-encoding_run-8_bold,
summary_fg_mean,47.8131,sub-13_ses-2_task-rest_run-1_bold,
summary_fg_mean,47.8427,sub-13_ses-2_task-similarity_run-1_bold,
summary_fg_mean,47.942,sub-13_ses-2_task-similarity_run-2_bold,
summary_fg_mean,46.2545,sub-14_ses-1_task-encoding_run-1_bold,
summary_fg_mean,46.0197,sub-14_ses-1_task-encoding_run-2_bold,
summary_fg_mean,45.9018,sub-14_ses-1_task-encoding_run-3_bold,
summary_fg_mean,45.9592,sub-14_ses-1_task-encoding_run-4_bold,
summary_fg_mean,46.0562,sub-14_ses-1_task-encoding_run-5_bold,
summary_fg_mean,46.1645,sub-14_ses-1_task-encoding_run-6_bold,
summary_fg_mean,46.5973,sub-14_ses-1_task-encoding_run-7_bold,
summary_fg_mean,46.5877,sub-14_ses-1_task-encoding_run-8_bold,
summary_fg_mean,45.3541,sub-14_ses-1_task-rest_run-1_bold,
summary_fg_mean,46.5612,sub-14_ses-1_task-rest_run-2_bold,
summary_fg_mean,45.7433,sub-14_ses-1_task-similarity_run-1_bold,
summary_fg_mean,45.9392,sub-14_ses-1_task-similarity_run-2_bold,
summary_fg_mean,46.8562,sub-14_ses-2_task-encoding_run-1_bold,
summary_fg_mean,47.6881,sub-14_ses-2_task-encoding_run-2_bold,
summary_fg_mean,47.457,sub-14_ses-2_task-encoding_run-3_bold,
summary_fg_mean,47.902,sub-14_ses-2_task-encoding_run-4_bold,
summary_fg_mean,47.6149,sub-14_ses-2_task-encoding_run-5_bold,
summary_fg_mean,47.8812,sub-14_ses-2_task-encoding_run-6_bold,
summary_fg_mean,47.8908,sub-14_ses-2_task-encoding_run-7_bold,
summary_fg_mean,48.0246,sub-14_ses-2_task-encoding_run-8_bold,
summary_fg_mean,48.294,sub-14_ses-2_task-rest_run-1_bold,
summary_fg_mean,48.2236,sub-14_ses-2_task-similarity_run-1_bold,
summary_fg_mean,47.7602,sub-14_ses-2_task-similarity_run-2_bold,
summary_fg_mean,48.4957,sub-16_ses-1_task-encoding_run-1_bold,
summary_fg_mean,48.9169,sub-16_ses-1_task-encoding_run-2_bold,
summary_fg_mean,48.5622,sub-16_ses-1_task-encoding_run-3_bold,
summary_fg_mean,49.0116,sub-16_ses-1_task-encoding_run-4_bold,
summary_fg_mean,49.5235,sub-16_ses-1_task-encoding_run-5_bold,
summary_fg_mean,49.3935,sub-16_ses-1_task-encoding_run-6_bold,
summary_fg_mean,49.4522,sub-16_ses-1_task-encoding_run-7_bold,
summary_fg_mean,49.3034,sub-16_ses-1_task-encoding_run-8_bold,
summary_fg_mean,47.3514,sub-16_ses-1_task-rest_run-1_bold,
summary_fg_mean,49.5174,sub-16_ses-1_task-rest_run-2_bold,
summary_fg_mean,47.664,sub-16_ses-1_task-similarity_run-1_bold,
summary_fg_mean,47.8866,sub-16_ses-1_task-similarity_run-2_bold,
summary_fg_mean,47.7918,sub-16_ses-2_task-encoding_run-1_bold,
summary_fg_mean,47.915,sub-16_ses-2_task-encoding_run-2_bold,
summary_fg_mean,48.2478,sub-16_ses-2_task-encoding_run-3_bold,
summary_fg_mean,48.8861,sub-16_ses-2_task-encoding_run-4_bold,
summary_fg_mean,49.2717,sub-16_ses-2_task-encoding_run-5_bold,
summary_fg_mean,49.8253,sub-16_ses-2_task-encoding_run-6_bold,
summary_fg_mean,49.7072,sub-16_ses-2_task-encoding_run-7_bold,
summary_fg_mean,49.9714,sub-16_ses-2_task-encoding_run-8_bold,
summary_fg_mean,49.5386,sub-16_ses-2_task-rest_run-1_bold,
summary_fg_mean,48.8845,sub-16_ses-2_task-similarity_run-1_bold,
summary_fg_mean,49.7171,sub-16_ses-2_task-similarity_run-2_bold,
summary_fg_mean,42.7098,sub-17_ses-1_task-encoding_run-1_bold,
summary_fg_mean,42.9933,sub-17_ses-1_task-encoding_run-2_bold,
summary_fg_mean,43.3178,sub-17_ses-1_task-encoding_run-3_bold,
summary_fg_mean,42.5988,sub-17_ses-1_task-encoding_run-4_bold,
summary_fg_mean,42.7873,sub-17_ses-1_task-encoding_run-5_bold,
summary_fg_mean,43.136,sub-17_ses-1_task-encoding_run-6_bold,
summary_fg_mean,43.5121,sub-17_ses-1_task-encoding_run-7_bold,
summary_fg_mean,43.3265,sub-17_ses-1_task-encoding_run-8_bold,
summary_fg_mean,41.3253,sub-17_ses-1_task-rest_run-1_bold,
summary_fg_mean,43.5308,sub-17_ses-1_task-rest_run-2_bold,
summary_fg_mean,42.0833,sub-17_ses-1_task-similarity_run-1_bold,
summary_fg_mean,42.3783,sub-17_ses-1_task-similarity_run-2_bold,
summary_fg_mean,43.4219,sub-17_ses-2_task-encoding_run-1_bold,
summary_fg_mean,43.5596,sub-17_ses-2_task-encoding_run-2_bold,
summary_fg_mean,43.5037,sub-17_ses-2_task-encoding_run-3_bold,
summary_fg_mean,43.9062,sub-17_ses-2_task-encoding_run-4_bold,
summary_fg_mean,43.5758,sub-17_ses-2_task-encoding_run-5_bold,
summary_fg_mean,44.3536,sub-17_ses-2_task-encoding_run-6_bold,
summary_fg_mean,44.2474,sub-17_ses-2_task-encoding_run-7_bold,
summary_fg_mean,44.8317,sub-17_ses-2_task-encoding_run-8_bold,
summary_fg_mean,44.7961,sub-17_ses-2_task-rest_run-1_bold,
summary_fg_mean,44.427,sub-17_ses-2_task-similarity_run-1_bold,
summary_fg_mean,44.8012,sub-17_ses-2_task-similarity_run-2_bold,
summary_fg_mean,49.8434,sub-18_ses-1_task-encoding_run-1_bold,
summary_fg_mean,50.1322,sub-18_ses-1_task-encoding_run-2_bold,
summary_fg_mean,49.9146,sub-18_ses-1_task-encoding_run-3_bold,
summary_fg_mean,50.0742,sub-18_ses-1_task-encoding_run-4_bold,
summary_fg_mean,50.6913,sub-18_ses-1_task-encoding_run-5_bold,
summary_fg_mean,50.4936,sub-18_ses-1_task-encoding_run-6_bold,
summary_fg_mean,50.6092,sub-18_ses-1_task-encoding_run-7_bold,
summary_fg_mean,50.6427,sub-18_ses-1_task-encoding_run-8_bold,
summary_fg_mean,48.3597,sub-18_ses-1_task-rest_run-1_bold,
summary_fg_mean,50.7583,sub-18_ses-1_task-rest_run-2_bold,
summary_fg_mean,49.263,sub-18_ses-1_task-similarity_run-1_bold,
summary_fg_mean,49.8754,sub-18_ses-1_task-similarity_run-2_bold,
summary_fg_mean,48.945,sub-18_ses-2_task-encoding_run-1_bold,
summary_fg_mean,49.287,sub-18_ses-2_task-encoding_run-2_bold,
summary_fg_mean,49.1412,sub-18_ses-2_task-encoding_run-3_bold,
summary_fg_mean,49.3049,sub-18_ses-2_task-encoding_run-4_bold,
summary_fg_mean,49.6736,sub-18_ses-2_task-encoding_run-5_bold,
summary_fg_mean,50.3277,sub-18_ses-2_task-encoding_run-6_bold,
summary_fg_mean,50.1934,sub-18_ses-2_task-encoding_run-7_bold,
summary_fg_mean,50.0222,sub-18_ses-2_task-encoding_run-8_bold,
summary_fg_mean,50.2775,sub-18_ses-2_task-rest_run-1_bold,
summary_fg_mean,50.0208,sub-18_ses-2_task-similarity_run-1_bold,
summary_fg_mean,50.4307,sub-18_ses-2_task-similarity_run-2_bold,
summary_fg_mean,41.9353,sub-19_ses-1_task-encoding_run-1_bold,
summary_fg_mean,41.8138,sub-19_ses-1_task-encoding_run-2_bold,
summary_fg_mean,42.1387,sub-19_ses-1_task-encoding_run-3_bold,
summary_fg_mean,42.0276,sub-19_ses-1_task-encoding_run-4_bold,
summary_fg_mean,42.2076,sub-19_ses-1_task-encoding_run-5_bold,
summary_fg_mean,42.4205,sub-19_ses-1_task-encoding_run-6_bold,
summary_fg_mean,42.1086,sub-19_ses-1_task-encoding_run-7_bold,
summary_fg_mean,42.5765,sub-19_ses-1_task-encoding_run-8_bold,
summary_fg_mean,40.9829,sub-19_ses-1_task-rest_run-1_bold,
summary_fg_mean,42.4107,sub-19_ses-1_task-rest_run-2_bold,
summary_fg_mean,41.3916,sub-19_ses-1_task-similarity_run-1_bold,
summary_fg_mean,41.4662,sub-19_ses-1_task-similarity_run-2_bold,
summary_fg_mean,41.6158,sub-19_ses-2_task-encoding_run-1_bold,
summary_fg_mean,41.8764,sub-19_ses-2_task-encoding_run-2_bold,
summary_fg_mean,41.956,sub-19_ses-2_task-encoding_run-3_bold,
summary_fg_mean,42.2721,sub-19_ses-2_task-encoding_run-4_bold,
summary_fg_mean,42.1716,sub-19_ses-2_task-encoding_run-5_bold,
summary_fg_mean,42.2226,sub-19_ses-2_task-encoding_run-6_bold,
summary_fg_mean,42.2701,sub-19_ses-2_task-encoding_run-7_bold,
summary_fg_mean,42.3261,sub-19_ses-2_task-encoding_run-8_bold,
summary_fg_mean,42.4587,sub-19_ses-2_task-rest_run-1_bold,
summary_fg_mean,42.719,sub-19_ses-2_task-similarity_run-1_bold,
summary_fg_mean,42.7177,sub-19_ses-2_task-similarity_run-2_bold,
summary_fg_mean,48.9959,sub-20_ses-1_task-encoding_run-1_bold,
summary_fg_mean,48.8531,sub-20_ses-1_task-encoding_run-2_bold,
summary_fg_mean,48.6834,sub-20_ses-1_task-encoding_run-3_bold,
summary_fg_mean,49.154,sub-20_ses-1_task-encoding_run-4_bold,
summary_fg_mean,48.9131,sub-20_ses-1_task-encoding_run-5_bold,
summary_fg_mean,49.7492,sub-20_ses-1_task-encoding_run-6_bold,
summary_fg_mean,49.4747,sub-20_ses-1_task-encoding_run-7_bold,
summary_fg_mean,49.9257,sub-20_ses-1_task-encoding_run-8_bold,
summary_fg_mean,47.5464,sub-20_ses-1_task-rest_run-1_bold,
summary_fg_mean,49.5091,sub-20_ses-1_task-rest_run-2_bold,
summary_fg_mean,48.1219,sub-20_ses-1_task-similarity_run-1_bold,
summary_fg_mean,48.8986,sub-20_ses-1_task-similarity_run-2_bold,
summary_fg_mean,48.3532,sub-20_ses-2_task-encoding_run-1_bold,
summary_fg_mean,48.7588,sub-20_ses-2_task-encoding_run-2_bold,
summary_fg_mean,49.2103,sub-20_ses-2_task-encoding_run-3_bold,
summary_fg_mean,48.9034,sub-20_ses-2_task-encoding_run-4_bold,
summary_fg_mean,49.0533,sub-20_ses-2_task-encoding_run-5_bold,
summary_fg_mean,49.1515,sub-20_ses-2_task-encoding_run-6_bold,
summary_fg_mean,49.3695,sub-20_ses-2_task-encoding_run-7_bold,
summary_fg_mean,49.6579,sub-20_ses-2_task-encoding_run-8_bold,
summary_fg_mean,49.9453,sub-20_ses-2_task-rest_run-1_bold,
summary_fg_mean,49.6076,sub-20_ses-2_task-similarity_run-1_bold,
summary_fg_mean,49.5557,sub-20_ses-2_task-similarity_run-2_bold,
summary_fg_mean,43.5778,sub-25_ses-1_task-encoding_run-1_bold,
summary_fg_mean,43.537,sub-25_ses-1_task-encoding_run-2_bold,
summary_fg_mean,43.9036,sub-25_ses-1_task-encoding_run-3_bold,
summary_fg_mean,44.0144,sub-25_ses-1_task-encoding_run-4_bold,
summary_fg_mean,44.2503,sub-25_ses-1_task-encoding_run-5_bold,
summary_fg_mean,44.1826,sub-25_ses-1_task-encoding_run-6_bold,
summary_fg_mean,44.6872,sub-25_ses-1_task-encoding_run-7_bold,
summary_fg_mean,44.4938,sub-25_ses-1_task-encoding_run-8_bold,
summary_fg_mean,44.2568,sub-25_ses-1_task-rest_run-1_bold,
summary_fg_mean,44.686,sub-25_ses-1_task-rest_run-2_bold,
summary_fg_mean,44.2854,sub-25_ses-1_task-similarity_run-1_bold,
summary_fg_mean,42.8934,sub-25_ses-1_task-similarity_run-2_bold,
summary_fg_mean,43.3707,sub-25_ses-2_task-encoding_run-1_bold,
summary_fg_mean,43.9719,sub-25_ses-2_task-encoding_run-2_bold,
summary_fg_mean,44.1379,sub-25_ses-2_task-encoding_run-3_bold,
summary_fg_mean,43.739,sub-25_ses-2_task-encoding_run-4_bold,
summary_fg_mean,44.3112,sub-25_ses-2_task-encoding_run-5_bold,
summary_fg_mean,43.8535,sub-25_ses-2_task-encoding_run-6_bold,
summary_fg_mean,44.2255,sub-25_ses-2_task-encoding_run-7_bold,
summary_fg_mean,44.2655,sub-25_ses-2_task-encoding_run-8_bold,
summary_fg_mean,44.0757,sub-25_ses-2_task-rest_run-1_bold,
summary_fg_mean,44.046,sub-25_ses-2_task-similarity_run-1_bold,
summary_fg_mean,44.3412,sub-25_ses-2_task-similarity_run-2_bold,
summary_fg_mean,48.9165,sub-26_ses-1_task-encoding_run-1_bold,
summary_fg_mean,49.0578,sub-26_ses-1_task-encoding_run-2_bold,
summary_fg_mean,49.0089,sub-26_ses-1_task-encoding_run-3_bold,
summary_fg_mean,49.3829,sub-26_ses-1_task-encoding_run-4_bold,
summary_fg_mean,49.4113,sub-26_ses-1_task-encoding_run-5_bold,
summary_fg_mean,49.5631,sub-26_ses-1_task-encoding_run-6_bold,
summary_fg_mean,49.7011,sub-26_ses-1_task-encoding_run-7_bold,
summary_fg_mean,49.7645,sub-26_ses-1_task-encoding_run-8_bold,
summary_fg_mean,47.9111,sub-26_ses-1_task-rest_run-1_bold,
summary_fg_mean,49.5181,sub-26_ses-1_task-rest_run-2_bold,
summary_fg_mean,48.2571,sub-26_ses-1_task-similarity_run-1_bold,
summary_fg_mean,48.6202,sub-26_ses-1_task-similarity_run-2_bold,
summary_fg_mean,47.3477,sub-26_ses-2_task-encoding_run-1_bold,
summary_fg_mean,48.1687,sub-26_ses-2_task-encoding_run-2_bold,
summary_fg_mean,47.9383,sub-26_ses-2_task-encoding_run-3_bold,
summary_fg_mean,48.1693,sub-26_ses-2_task-encoding_run-4_bold,
summary_fg_mean,47.9431,sub-26_ses-2_task-encoding_run-5_bold,
summary_fg_mean,48.1056,sub-26_ses-2_task-encoding_run-6_bold,
summary_fg_mean,48.8063,sub-26_ses-2_task-encoding_run-7_bold,
summary_fg_mean,48.7457,sub-26_ses-2_task-encoding_run-8_bold,
summary_fg_mean,48.8688,sub-26_ses-2_task-rest_run-1_bold,
summary_fg_mean,48.3943,sub-26_ses-2_task-similarity_run-1_bold,
summary_fg_mean,48.3903,sub-26_ses-2_task-similarity_run-2_bold,
summary_fg_mean,42.3352,sub-27_ses-1_task-encoding_run-1_bold,
summary_fg_mean,41.8599,sub-27_ses-1_task-encoding_run-2_bold,
summary_fg_mean,42.3345,sub-27_ses-1_task-encoding_run-3_bold,
summary_fg_mean,42.3549,sub-27_ses-1_task-encoding_run-4_bold,
summary_fg_mean,42.2138,sub-27_ses-1_task-encoding_run-5_bold,
summary_fg_mean,42.1738,sub-27_ses-1_task-encoding_run-6_bold,
summary_fg_mean,42.5697,sub-27_ses-1_task-encoding_run-7_bold,
summary_fg_mean,42.1643,sub-27_ses-1_task-encoding_run-8_bold,
summary_fg_mean,41.4517,sub-27_ses-1_task-rest_run-1_bold,
summary_fg_mean,42.5061,sub-27_ses-1_task-rest_run-2_bold,
summary_fg_mean,41.9544,sub-27_ses-1_task-similarity_run-1_bold,
summary_fg_mean,41.7446,sub-27_ses-1_task-similarity_run-2_bold,
summary_fg_mean,40.6223,sub-27_ses-2_task-encoding_run-1_bold,
summary_fg_mean,41.0891,sub-27_ses-2_task-encoding_run-2_bold,
summary_fg_mean,41.6115,sub-27_ses-2_task-encoding_run-3_bold,
summary_fg_mean,42.1524,sub-27_ses-2_task-encoding_run-4_bold,
summary_fg_mean,41.8157,sub-27_ses-2_task-encoding_run-5_bold,
summary_fg_mean,41.9776,sub-27_ses-2_task-encoding_run-6_bold,
summary_fg_mean,42.4921,sub-27_ses-2_task-encoding_run-7_bold,
summary_fg_mean,42.4436,sub-27_ses-2_task-encoding_run-8_bold,
summary_fg_mean,42.2552,sub-27_ses-2_task-rest_run-1_bold,
summary_fg_mean,42.0785,sub-27_ses-2_task-similarity_run-1_bold,
summary_fg_mean,42.4855,sub-27_ses-2_task-similarity_run-2_bold,
summary_fg_mean,48.0186,sub-28_ses-1_task-encoding_run-1_bold,
summary_fg_mean,48.1419,sub-28_ses-1_task-encoding_run-2_bold,
summary_fg_mean,48.2043,sub-28_ses-1_task-encoding_run-3_bold,
summary_fg_mean,48.1837,sub-28_ses-1_task-encoding_run-4_bold,
summary_fg_mean,48.2078,sub-28_ses-1_task-encoding_run-5_bold,
summary_fg_mean,48.837,sub-28_ses-1_task-encoding_run-6_bold,
summary_fg_mean,48.9342,sub-28_ses-1_task-encoding_run-7_bold,
summary_fg_mean,49.0833,sub-28_ses-1_task-encoding_run-8_bold,
summary_fg_mean,47.1221,sub-28_ses-1_task-rest_run-1_bold,
summary_fg_mean,49.243,sub-28_ses-1_task-rest_run-2_bold,
summary_fg_mean,47.5664,sub-28_ses-1_task-similarity_run-1_bold,
summary_fg_mean,48.0403,sub-28_ses-1_task-similarity_run-2_bold,
summary_fg_mean,47.3898,sub-28_ses-2_task-encoding_run-1_bold,
summary_fg_mean,47.8719,sub-28_ses-2_task-encoding_run-2_bold,
summary_fg_mean,48.1417,sub-28_ses-2_task-encoding_run-3_bold,
summary_fg_mean,48.572,sub-28_ses-2_task-encoding_run-4_bold,
summary_fg_mean,48.4584,sub-28_ses-2_task-encoding_run-5_bold,
summary_fg_mean,48.7075,sub-28_ses-2_task-encoding_run-6_bold,
summary_fg_mean,48.6305,sub-28_ses-2_task-encoding_run-7_bold,
summary_fg_mean,49.3993,sub-28_ses-2_task-encoding_run-8_bold,
summary_fg_mean,48.964,sub-28_ses-2_task-rest_run-1_bold,
summary_fg_mean,49.296,sub-28_ses-2_task-similarity_run-1_bold,
summary_fg_mean,49.0259,sub-28_ses-2_task-similarity_run-2_bold,
summary_fg_stdv,12.9002,sub-01_ses-1_task-encoding_run-1_bold,
summary_fg_stdv,12.5546,sub-01_ses-1_task-encoding_run-2_bold,
summary_fg_stdv,12.5795,sub-01_ses-1_task-encoding_run-3_bold,
summary_fg_stdv,12.7481,sub-01_ses-1_task-encoding_run-4_bold,
summary_fg_stdv,12.6372,sub-01_ses-1_task-encoding_run-5_bold,
summary_fg_stdv,12.7998,sub-01_ses-1_task-encoding_run-6_bold,
summary_fg_stdv,12.9138,sub-01_ses-1_task-encoding_run-7_bold,
summary_fg_stdv,12.8216,sub-01_ses-1_task-encoding_run-8_bold,
summary_fg_stdv,12.4053,sub-01_ses-1_task-rest_run-1_bold,
summary_fg_stdv,12.3793,sub-01_ses-1_task-similarity_run-1_bold,
summary_fg_stdv,12.2923,sub-01_ses-1_task-similarity_run-2_bold,
summary_fg_stdv,13.8296,sub-01_ses-2_task-encoding_run-1_bold,
summary_fg_stdv,13.8276,sub-01_ses-2_task-encoding_run-2_bold,
summary_fg_stdv,13.7841,sub-01_ses-2_task-encoding_run-3_bold,
summary_fg_stdv,13.8109,sub-01_ses-2_task-encoding_run-4_bold,
summary_fg_stdv,13.4763,sub-01_ses-2_task-encoding_run-5_bold,
summary_fg_stdv,14.0104,sub-01_ses-2_task-encoding_run-6_bold,
summary_fg_stdv,13.9518,sub-01_ses-2_task-encoding_run-7_bold,
summary_fg_stdv,13.9712,sub-01_ses-2_task-encoding_run-8_bold,
summary_fg_stdv,13.9893,sub-01_ses-2_task-rest_run-1_bold,
summary_fg_stdv,13.9093,sub-01_ses-2_task-similarity_run-1_bold,
summary_fg_stdv,13.8042,sub-01_ses-2_task-similarity_run-2_bold,
summary_fg_stdv,12.1905,sub-02_ses-1_task-encoding_run-1_bold,
summary_fg_stdv,11.7375,sub-02_ses-1_task-encoding_run-2_bold,
summary_fg_stdv,11.9511,sub-02_ses-1_task-encoding_run-3_bold,
summary_fg_stdv,12.0057,sub-02_ses-1_task-encoding_run-4_bold,
summary_fg_stdv,11.8363,sub-02_ses-1_task-encoding_run-5_bold,
summary_fg_stdv,11.7534,sub-02_ses-1_task-encoding_run-6_bold,
summary_fg_stdv,11.8652,sub-02_ses-1_task-encoding_run-7_bold,
summary_fg_stdv,11.8091,sub-02_ses-1_task-encoding_run-8_bold,
summary_fg_stdv,11.2621,sub-02_ses-1_task-rest_run-1_bold,
summary_fg_stdv,12.0249,sub-02_ses-1_task-rest_run-2_bold,
summary_fg_stdv,11.6034,sub-02_ses-1_task-similarity_run-1_bold,
summary_fg_stdv,11.7215,sub-02_ses-1_task-similarity_run-2_bold,
summary_fg_stdv,12.4668,sub-02_ses-2_task-encoding_run-1_bold,
summary_fg_stdv,12.2406,sub-02_ses-2_task-encoding_run-2_bold,
summary_fg_stdv,12.3737,sub-02_ses-2_task-encoding_run-3_bold,
summary_fg_stdv,12.7022,sub-02_ses-2_task-encoding_run-4_bold,
summary_fg_stdv,12.5263,sub-02_ses-2_task-encoding_run-5_bold,
summary_fg_stdv,12.7926,sub-02_ses-2_task-encoding_run-6_bold,
summary_fg_stdv,12.7024,sub-02_ses-2_task-encoding_run-7_bold,
summary_fg_stdv,12.5554,sub-02_ses-2_task-encoding_run-8_bold,
summary_fg_stdv,12.604,sub-02_ses-2_task-rest_run-1_bold,
summary_fg_stdv,12.9805,sub-02_ses-2_task-similarity_run-1_bold,
summary_fg_stdv,13.0754,sub-02_ses-2_task-similarity_run-2_bold,
summary_fg_stdv,10.8671,sub-03_ses-1_task-encoding_run-1_bold,
summary_fg_stdv,10.7748,sub-03_ses-1_task-encoding_run-2_bold,
summary_fg_stdv,10.7317,sub-03_ses-1_task-encoding_run-3_bold,
summary_fg_stdv,10.6687,sub-03_ses-1_task-encoding_run-4_bold,
summary_fg_stdv,10.9432,sub-03_ses-1_task-encoding_run-5_bold,
summary_fg_stdv,11.1281,sub-03_ses-1_task-encoding_run-6_bold,
summary_fg_stdv,11.1803,sub-03_ses-1_task-encoding_run-7_bold,
summary_fg_stdv,11.0264,sub-03_ses-1_task-encoding_run-8_bold,
summary_fg_stdv,10.7609,sub-03_ses-1_task-rest_run-1_bold,
summary_fg_stdv,10.9457,sub-03_ses-1_task-rest_run-2_bold,
summary_fg_stdv,10.7835,sub-03_ses-1_task-similarity_run-1_bold,
summary_fg_stdv,10.9538,sub-03_ses-1_task-similarity_run-2_bold,
summary_fg_stdv,10.769,sub-03_ses-2_task-encoding_run-1_bold,
summary_fg_stdv,10.6902,sub-03_ses-2_task-encoding_run-2_bold,
summary_fg_stdv,10.9001,sub-03_ses-2_task-encoding_run-3_bold,
summary_fg_stdv,10.7954,sub-03_ses-2_task-encoding_run-4_bold,
summary_fg_stdv,10.8154,sub-03_ses-2_task-encoding_run-5_bold,
summary_fg_stdv,10.6637,sub-03_ses-2_task-encoding_run-6_bold,
summary_fg_stdv,10.6141,sub-03_ses-2_task-encoding_run-7_bold,
summary_fg_stdv,10.6606,sub-03_ses-2_task-encoding_run-8_bold,
summary_fg_stdv,10.8191,sub-03_ses-2_task-rest_run-1_bold,
summary_fg_stdv,10.9545,sub-03_ses-2_task-similarity_run-1_bold,
summary_fg_stdv,10.8126,sub-03_ses-2_task-similarity_run-2_bold,
summary_fg_stdv,13.8777,sub-04_ses-1_task-encoding_run-1_bold,
summary_fg_stdv,14.2727,sub-04_ses-1_task-encoding_run-2_bold,
summary_fg_stdv,13.9349,sub-04_ses-1_task-encoding_run-3_bold,
summary_fg_stdv,14.1296,sub-04_ses-1_task-encoding_run-4_bold,
summary_fg_stdv,14.3124,sub-04_ses-1_task-encoding_run-5_bold,
summary_fg_stdv,14.446,sub-04_ses-1_task-encoding_run-6_bold,
summary_fg_stdv,14.3741,sub-04_ses-1_task-encoding_run-7_bold,
summary_fg_stdv,14.5148,sub-04_ses-1_task-encoding_run-8_bold,
summary_fg_stdv,13.6517,sub-04_ses-1_task-rest_run-1_bold,
summary_fg_stdv,14.5252,sub-04_ses-1_task-rest_run-2_bold,
summary_fg_stdv,13.7468,sub-04_ses-1_task-similarity_run-1_bold,
summary_fg_stdv,14.0823,sub-04_ses-1_task-similarity_run-2_bold,
summary_fg_stdv,13.7816,sub-04_ses-2_task-encoding_run-1_bold,
summary_fg_stdv,13.9831,sub-04_ses-2_task-encoding_run-2_bold,
summary_fg_stdv,14.132,sub-04_ses-2_task-encoding_run-3_bold,
summary_fg_stdv,14.1031,sub-04_ses-2_task-encoding_run-4_bold,
summary_fg_stdv,14.0833,sub-04_ses-2_task-encoding_run-5_bold,
summary_fg_stdv,14.2214,sub-04_ses-2_task-encoding_run-6_bold,
summary_fg_stdv,14.2969,sub-04_ses-2_task-encoding_run-7_bold,
summary_fg_stdv,14.3771,sub-04_ses-2_task-encoding_run-8_bold,
summary_fg_stdv,14.5392,sub-04_ses-2_task-rest_run-1_bold,
summary_fg_stdv,14.3971,sub-04_ses-2_task-similarity_run-1_bold,
summary_fg_stdv,14.2411,sub-04_ses-2_task-similarity_run-2_bold,
summary_fg_stdv,12.8911,sub-06_ses-1_task-encoding_run-1_bold,
summary_fg_stdv,12.7731,sub-06_ses-1_task-encoding_run-2_bold,
summary_fg_stdv,12.6108,sub-06_ses-1_task-encoding_run-3_bold,
summary_fg_stdv,12.8424,sub-06_ses-1_task-encoding_run-4_bold,
summary_fg_stdv,12.4417,sub-06_ses-1_task-encoding_run-5_bold,
summary_fg_stdv,13.0519,sub-06_ses-1_task-encoding_run-6_bold,
summary_fg_stdv,13.1241,sub-06_ses-1_task-encoding_run-7_bold,
summary_fg_stdv,12.8357,sub-06_ses-1_task-encoding_run-8_bold,
summary_fg_stdv,12.5954,sub-06_ses-1_task-rest_run-1_bold,
summary_fg_stdv,12.789,sub-06_ses-1_task-rest_run-2_bold,
summary_fg_stdv,12.2028,sub-06_ses-1_task-similarity_run-1_bold,
summary_fg_stdv,12.5344,sub-06_ses-1_task-similarity_run-2_bold,
summary_fg_stdv,13.5427,sub-06_ses-2_task-encoding_run-1_bold,
summary_fg_stdv,13.4438,sub-06_ses-2_task-encoding_run-2_bold,
summary_fg_stdv,13.5488,sub-06_ses-2_task-encoding_run-3_bold,
summary_fg_stdv,13.7278,sub-06_ses-2_task-encoding_run-4_bold,
summary_fg_stdv,13.8116,sub-06_ses-2_task-encoding_run-5_bold,
summary_fg_stdv,13.7668,sub-06_ses-2_task-encoding_run-6_bold,
summary_fg_stdv,13.7876,sub-06_ses-2_task-encoding_run-7_bold,
summary_fg_stdv,13.6911,sub-06_ses-2_task-encoding_run-8_bold,
summary_fg_stdv,14.0275,sub-06_ses-2_task-rest_run-1_bold,
summary_fg_stdv,14.0898,sub-06_ses-2_task-similarity_run-1_bold,
summary_fg_stdv,13.8498,sub-06_ses-2_task-similarity_run-2_bold,
summary_fg_stdv,14.9243,sub-08_ses-1_task-encoding_run-1_bold,
summary_fg_stdv,15.0865,sub-08_ses-1_task-encoding_run-2_bold,
summary_fg_stdv,15.0325,sub-08_ses-1_task-encoding_run-3_bold,
summary_fg_stdv,15.0186,sub-08_ses-1_task-encoding_run-4_bold,
summary_fg_stdv,15.0457,sub-08_ses-1_task-encoding_run-5_bold,
summary_fg_stdv,15.0446,sub-08_ses-1_task-encoding_run-6_bold,
summary_fg_stdv,15.1869,sub-08_ses-1_task-encoding_run-7_bold,
summary_fg_stdv,15.3702,sub-08_ses-1_task-encoding_run-8_bold,
summary_fg_stdv,14.5131,sub-08_ses-1_task-rest_run-1_bold,
summary_fg_stdv,15.3835,sub-08_ses-1_task-rest_run-2_bold,
summary_fg_stdv,14.5217,sub-08_ses-1_task-similarity_run-1_bold,
summary_fg_stdv,14.7078,sub-08_ses-1_task-similarity_run-2_bold,
summary_fg_stdv,14.3279,sub-08_ses-2_task-encoding_run-1_bold,
summary_fg_stdv,14.4755,sub-08_ses-2_task-encoding_run-2_bold,
summary_fg_stdv,14.567,sub-08_ses-2_task-encoding_run-3_bold,
summary_fg_stdv,14.6337,sub-08_ses-2_task-encoding_run-4_bold,
summary_fg_stdv,14.6854,sub-08_ses-2_task-encoding_run-5_bold,
summary_fg_stdv,14.9344,sub-08_ses-2_task-encoding_run-6_bold,
summary_fg_stdv,14.9225,sub-08_ses-2_task-encoding_run-7_bold,
summary_fg_stdv,14.8831,sub-08_ses-2_task-encoding_run-8_bold,
summary_fg_stdv,14.8322,sub-08_ses-2_task-rest_run-1_bold,
summary_fg_stdv,15.0155,sub-08_ses-2_task-similarity_run-1_bold,
summary_fg_stdv,14.9735,sub-08_ses-2_task-similarity_run-2_bold,
summary_fg_stdv,14.8502,sub-09_ses-1_task-encoding_run-1_bold,
summary_fg_stdv,14.7593,sub-09_ses-1_task-encoding_run-2_bold,
summary_fg_stdv,14.648,sub-09_ses-1_task-encoding_run-3_bold,
summary_fg_stdv,14.8322,sub-09_ses-1_task-encoding_run-4_bold,
summary_fg_stdv,14.9077,sub-09_ses-1_task-encoding_run-5_bold,
summary_fg_stdv,15.0606,sub-09_ses-1_task-encoding_run-6_bold,
summary_fg_stdv,15.0772,sub-09_ses-1_task-encoding_run-7_bold,
summary_fg_stdv,15.042,sub-09_ses-1_task-encoding_run-8_bold,
summary_fg_stdv,14.4528,sub-09_ses-1_task-rest_run-1_bold,
summary_fg_stdv,15.0341,sub-09_ses-1_task-rest_run-2_bold,
summary_fg_stdv,14.7535,sub-09_ses-1_task-similarity_run-1_bold,
summary_fg_stdv,14.8446,sub-09_ses-1_task-similarity_run-2_bold,
summary_fg_stdv,14.2072,sub-09_ses-2_task-encoding_run-1_bold,
summary_fg_stdv,13.7286,sub-09_ses-2_task-encoding_run-2_bold,
summary_fg_stdv,13.9664,sub-09_ses-2_task-encoding_run-3_bold,
summary_fg_stdv,14.0336,sub-09_ses-2_task-encoding_run-4_bold,
summary_fg_stdv,14.0048,sub-09_ses-2_task-encoding_run-5_bold,
summary_fg_stdv,14.2135,sub-09_ses-2_task-encoding_run-6_bold,
summary_fg_stdv,14.0671,sub-09_ses-2_task-encoding_run-7_bold,
summary_fg_stdv,14.0063,sub-09_ses-2_task-encoding_run-8_bold,
summary_fg_stdv,14.0897,sub-09_ses-2_task-rest_run-1_bold,
summary_fg_stdv,13.9047,sub-09_ses-2_task-similarity_run-1_bold,
summary_fg_stdv,14.2001,sub-09_ses-2_task-similarity_run-2_bold,
summary_fg_stdv,16.1326,sub-10_ses-1_task-encoding_run-1_bold,
summary_fg_stdv,16.2562,sub-10_ses-1_task-encoding_run-2_bold,
summary_fg_stdv,16.2401,sub-10_ses-1_task-encoding_run-3_bold,
summary_fg_stdv,16.2428,sub-10_ses-1_task-encoding_run-4_bold,
summary_fg_stdv,16.2264,sub-10_ses-1_task-encoding_run-5_bold,
summary_fg_stdv,16.2102,sub-10_ses-1_task-encoding_run-6_bold,
summary_fg_stdv,16.3679,sub-10_ses-1_task-encoding_run-7_bold,
summary_fg_stdv,16.2951,sub-10_ses-1_task-encoding_run-8_bold,
summary_fg_stdv,15.6923,sub-10_ses-1_task-rest_run-1_bold,
summary_fg_stdv,16.2933,sub-10_ses-1_task-rest_run-2_bold,
summary_fg_stdv,15.8679,sub-10_ses-1_task-similarity_run-1_bold,
summary_fg_stdv,16.1915,sub-10_ses-1_task-similarity_run-2_bold,
summary_fg_stdv,15.2287,sub-10_ses-2_task-encoding_run-1_bold,
summary_fg_stdv,15.2338,sub-10_ses-2_task-encoding_run-2_bold,
summary_fg_stdv,15.4393,sub-10_ses-2_task-encoding_run-3_bold,
summary_fg_stdv,15.512,sub-10_ses-2_task-encoding_run-4_bold,
summary_fg_stdv,15.5218,sub-10_ses-2_task-encoding_run-5_bold,
summary_fg_stdv,15.5074,sub-10_ses-2_task-encoding_run-6_bold,
summary_fg_stdv,15.5121,sub-10_ses-2_task-encoding_run-7_bold,
summary_fg_stdv,15.5739,sub-10_ses-2_task-encoding_run-8_bold,
summary_fg_stdv,15.4594,sub-10_ses-2_task-rest_run-1_bold,
summary_fg_stdv,15.4218,sub-10_ses-2_task-similarity_run-1_bold,
summary_fg_stdv,15.4971,sub-10_ses-2_task-similarity_run-2_bold,
summary_fg_stdv,12.0865,sub-11_ses-1_task-encoding_run-1_bold,
summary_fg_stdv,12.1171,sub-11_ses-1_task-encoding_run-2_bold,
summary_fg_stdv,11.9819,sub-11_ses-1_task-encoding_run-3_bold,
summary_fg_stdv,12.116,sub-11_ses-1_task-encoding_run-4_bold,
summary_fg_stdv,12.2229,sub-11_ses-1_task-encoding_run-5_bold,
summary_fg_stdv,12.2474,sub-11_ses-1_task-encoding_run-6_bold,
summary_fg_stdv,12.3209,sub-11_ses-1_task-encoding_run-7_bold,
summary_fg_stdv,12.3352,sub-11_ses-1_task-encoding_run-8_bold,
summary_fg_stdv,12.058,sub-11_ses-1_task-rest_run-1_bold,
summary_fg_stdv,12.4167,sub-11_ses-1_task-rest_run-2_bold,
summary_fg_stdv,11.8969,sub-11_ses-1_task-similarity_run-1_bold,
summary_fg_stdv,11.9171,sub-11_ses-1_task-similarity_run-2_bold,
summary_fg_stdv,11.4157,sub-11_ses-2_task-encoding_run-1_bold,
summary_fg_stdv,11.5375,sub-11_ses-2_task-encoding_run-2_bold,
summary_fg_stdv,11.4074,sub-11_ses-2_task-encoding_run-3_bold,
summary_fg_stdv,11.5242,sub-11_ses-2_task-encoding_run-4_bold,
summary_fg_stdv,11.7078,sub-11_ses-2_task-encoding_run-5_bold,
summary_fg_stdv,11.6094,sub-11_ses-2_task-encoding_run-6_bold,
summary_fg_stdv,11.5789,sub-11_ses-2_task-encoding_run-7_bold,
summary_fg_stdv,11.4438,sub-11_ses-2_task-encoding_run-8_bold,
summary_fg_stdv,11.43,sub-11_ses-2_task-rest_run-1_bold,
summary_fg_stdv,11.5377,sub-11_ses-2_task-similarity_run-1_bold,
summary_fg_stdv,11.7136,sub-11_ses-2_task-similarity_run-2_bold,
summary_fg_stdv,14.8326,sub-13_ses-1_task-encoding_run-1_bold,
summary_fg_stdv,14.7807,sub-13_ses-1_task-encoding_run-2_bold,
summary_fg_stdv,14.832,sub-13_ses-1_task-encoding_run-3_bold,
summary_fg_stdv,14.7796,sub-13_ses-1_task-encoding_run-4_bold,
summary_fg_stdv,14.8259,sub-13_ses-1_task-encoding_run-5_bold,
summary_fg_stdv,14.9442,sub-13_ses-1_task-encoding_run-6_bold,
summary_fg_stdv,14.9819,sub-13_ses-1_task-encoding_run-7_bold,
summary_fg_stdv,14.8437,sub-13_ses-1_task-encoding_run-8_bold,
summary_fg_stdv,14.4889,sub-13_ses-1_task-rest_run-1_bold,
summary_fg_stdv,14.8473,sub-13_ses-1_task-rest_run-2_bold,
summary_fg_stdv,14.4518,sub-13_ses-1_task-similarity_run-1_bold,
summary_fg_stdv,14.6669,sub-13_ses-1_task-similarity_run-2_bold,
summary_fg_stdv,14.8249,sub-13_ses-2_task-encoding_run-1_bold,
summary_fg_stdv,14.9692,sub-13_ses-2_task-encoding_run-2_bold,
summary_fg_stdv,14.9379,sub-13_ses-2_task-encoding_run-3_bold,
summary_fg_stdv,14.9327,sub-13_ses-2_task-encoding_run-4_bold,
summary_fg_stdv,15.0671,sub-13_ses-2_task-encoding_run-5_bold,
summary_fg_stdv,15.2032,sub-13_ses-2_task-encoding_run-6_bold,
summary_fg_stdv,15.2656,sub-13_ses-2_task-encoding_run-7_bold,
summary_fg_stdv,15.2282,sub-13_ses-2_task-encoding_run-8_bold,
summary_fg_stdv,15.1702,sub-13_ses-2_task-rest_run-1_bold,
summary_fg_stdv,15.0503,sub-13_ses-2_task-similarity_run-1_bold,
summary_fg_stdv,15.4442,sub-13_ses-2_task-similarity_run-2_bold,
summary_fg_stdv,14.9714,sub-14_ses-1_task-encoding_run-1_bold,
summary_fg_stdv,15.0871,sub-14_ses-1_task-encoding_run-2_bold,
summary_fg_stdv,14.9892,sub-14_ses-1_task-encoding_run-3_bold,
summary_fg_stdv,15.0676,sub-14_ses-1_task-encoding_run-4_bold,
summary_fg_stdv,15.0467,sub-14_ses-1_task-encoding_run-5_bold,
summary_fg_stdv,14.9468,sub-14_ses-1_task-encoding_run-6_bold,
summary_fg_stdv,15.1318,sub-14_ses-1_task-encoding_run-7_bold,
summary_fg_stdv,15.0454,sub-14_ses-1_task-encoding_run-8_bold,
summary_fg_stdv,14.7855,sub-14_ses-1_task-rest_run-1_bold,
summary_fg_stdv,15.0594,sub-14_ses-1_task-rest_run-2_bold,
summary_fg_stdv,14.6799,sub-14_ses-1_task-similarity_run-1_bold,
summary_fg_stdv,14.762,sub-14_ses-1_task-similarity_run-2_bold,
summary_fg_stdv,13.3247,sub-14_ses-2_task-encoding_run-1_bold,
summary_fg_stdv,13.3115,sub-14_ses-2_task-encoding_run-2_bold,
summary_fg_stdv,13.5946,sub-14_ses-2_task-encoding_run-3_bold,
summary_fg_stdv,13.4732,sub-14_ses-2_task-encoding_run-4_bold,
summary_fg_stdv,13.481,sub-14_ses-2_task-encoding_run-5_bold,
summary_fg_stdv,13.7172,sub-14_ses-2_task-encoding_run-6_bold,
summary_fg_stdv,13.7745,sub-14_ses-2_task-encoding_run-7_bold,
summary_fg_stdv,13.867,sub-14_ses-2_task-encoding_run-8_bold,
summary_fg_stdv,13.5596,sub-14_ses-2_task-rest_run-1_bold,
summary_fg_stdv,13.4806,sub-14_ses-2_task-similarity_run-1_bold,
summary_fg_stdv,13.4818,sub-14_ses-2_task-similarity_run-2_bold,
summary_fg_stdv,15.5281,sub-16_ses-1_task-encoding_run-1_bold,
summary_fg_stdv,15.4501,sub-16_ses-1_task-encoding_run-2_bold,
summary_fg_stdv,15.4145,sub-16_ses-1_task-encoding_run-3_bold,
summary_fg_stdv,15.5943,sub-16_ses-1_task-encoding_run-4_bold,
summary_fg_stdv,15.4884,sub-16_ses-1_task-encoding_run-5_bold,
summary_fg_stdv,15.4962,sub-16_ses-1_task-encoding_run-6_bold,
summary_fg_stdv,15.6609,sub-16_ses-1_task-encoding_run-7_bold,
summary_fg_stdv,15.5086,sub-16_ses-1_task-encoding_run-8_bold,
summary_fg_stdv,14.8374,sub-16_ses-1_task-rest_run-1_bold,
summary_fg_stdv,15.4799,sub-16_ses-1_task-rest_run-2_bold,
summary_fg_stdv,14.9786,sub-16_ses-1_task-similarity_run-1_bold,
summary_fg_stdv,15.3264,sub-16_ses-1_task-similarity_run-2_bold,
summary_fg_stdv,14.4794,sub-16_ses-2_task-encoding_run-1_bold,
summary_fg_stdv,14.4681,sub-16_ses-2_task-encoding_run-2_bold,
summary_fg_stdv,14.5621,sub-16_ses-2_task-encoding_run-3_bold,
summary_fg_stdv,14.5099,sub-16_ses-2_task-encoding_run-4_bold,
summary_fg_stdv,14.4803,sub-16_ses-2_task-encoding_run-5_bold,
summary_fg_stdv,14.5367,sub-16_ses-2_task-encoding_run-6_bold,
summary_fg_stdv,14.6576,sub-16_ses-2_task-encoding_run-7_bold,
summary_fg_stdv,14.7676,sub-16_ses-2_task-encoding_run-8_bold,
summary_fg_stdv,14.8197,sub-16_ses-2_task-rest_run-1_bold,
summary_fg_stdv,14.4052,sub-16_ses-2_task-similarity_run-1_bold,
summary_fg_stdv,14.4947,sub-16_ses-2_task-similarity_run-2_bold,
summary_fg_stdv,12.9137,sub-17_ses-1_task-encoding_run-1_bold,
summary_fg_stdv,13.0676,sub-17_ses-1_task-encoding_run-2_bold,
summary_fg_stdv,13.171,sub-17_ses-1_task-encoding_run-3_bold,
summary_fg_stdv,12.9963,sub-17_ses-1_task-encoding_run-4_bold,
summary_fg_stdv,13.2455,sub-17_ses-1_task-encoding_run-5_bold,
summary_fg_stdv,13.3175,sub-17_ses-1_task-encoding_run-6_bold,
summary_fg_stdv,13.077,sub-17_ses-1_task-encoding_run-7_bold,
summary_fg_stdv,13.3829,sub-17_ses-1_task-encoding_run-8_bold,
summary_fg_stdv,11.9891,sub-17_ses-1_task-rest_run-1_bold,
summary_fg_stdv,13.3715,sub-17_ses-1_task-rest_run-2_bold,
summary_fg_stdv,12.3527,sub-17_ses-1_task-similarity_run-1_bold,
summary_fg_stdv,12.4946,sub-17_ses-1_task-similarity_run-2_bold,
summary_fg_stdv,13.0326,sub-17_ses-2_task-encoding_run-1_bold,
summary_fg_stdv,13.3871,sub-17_ses-2_task-encoding_run-2_bold,
summary_fg_stdv,13.4383,sub-17_ses-2_task-encoding_run-3_bold,
summary_fg_stdv,13.3177,sub-17_ses-2_task-encoding_run-4_bold,
summary_fg_stdv,13.1578,sub-17_ses-2_task-encoding_run-5_bold,
summary_fg_stdv,13.4208,sub-17_ses-2_task-encoding_run-6_bold,
summary_fg_stdv,13.3206,sub-17_ses-2_task-encoding_run-7_bold,
summary_fg_stdv,13.5196,sub-17_ses-2_task-encoding_run-8_bold,
summary_fg_stdv,13.5122,sub-17_ses-2_task-rest_run-1_bold,
summary_fg_stdv,13.5089,sub-17_ses-2_task-similarity_run-1_bold,
summary_fg_stdv,13.5301,sub-17_ses-2_task-similarity_run-2_bold,
summary_fg_stdv,14.5351,sub-18_ses-1_task-encoding_run-1_bold,
summary_fg_stdv,14.535,sub-18_ses-1_task-encoding_run-2_bold,
summary_fg_stdv,14.559,sub-18_ses-1_task-encoding_run-3_bold,
summary_fg_stdv,14.5167,sub-18_ses-1_task-encoding_run-4_bold,
summary_fg_stdv,14.7065,sub-18_ses-1_task-encoding_run-5_bold,
summary_fg_stdv,14.842,sub-18_ses-1_task-encoding_run-6_bold,
summary_fg_stdv,14.8775,sub-18_ses-1_task-encoding_run-7_bold,
summary_fg_stdv,14.8533,sub-18_ses-1_task-encoding_run-8_bold,
summary_fg_stdv,13.978,sub-18_ses-1_task-rest_run-1_bold,
summary_fg_stdv,14.6835,sub-18_ses-1_task-rest_run-2_bold,
summary_fg_stdv,14.0903,sub-18_ses-1_task-similarity_run-1_bold,
summary_fg_stdv,14.2573,sub-18_ses-1_task-similarity_run-2_bold,
summary_fg_stdv,14.383,sub-18_ses-2_task-encoding_run-1_bold,
summary_fg_stdv,14.5503,sub-18_ses-2_task-encoding_run-2_bold,
summary_fg_stdv,14.6801,sub-18_ses-2_task-encoding_run-3_bold,
summary_fg_stdv,14.856,sub-18_ses-2_task-encoding_run-4_bold,
summary_fg_stdv,15.0689,sub-18_ses-2_task-encoding_run-5_bold,
summary_fg_stdv,15.2552,sub-18_ses-2_task-encoding_run-6_bold,
summary_fg_stdv,15.104,sub-18_ses-2_task-encoding_run-7_bold,
summary_fg_stdv,15.0751,sub-18_ses-2_task-encoding_run-8_bold,
summary_fg_stdv,15.0679,sub-18_ses-2_task-rest_run-1_bold,
summary_fg_stdv,15.1078,sub-18_ses-2_task-similarity_run-1_bold,
summary_fg_stdv,15.4161,sub-18_ses-2_task-similarity_run-2_bold,
summary_fg_stdv,14.6,sub-19_ses-1_task-encoding_run-1_bold,
summary_fg_stdv,14.6212,sub-19_ses-1_task-encoding_run-2_bold,
summary_fg_stdv,14.7557,sub-19_ses-1_task-encoding_run-3_bold,
summary_fg_stdv,14.8243,sub-19_ses-1_task-encoding_run-4_bold,
summary_fg_stdv,14.7768,sub-19_ses-1_task-encoding_run-5_bold,
summary_fg_stdv,14.5449,sub-19_ses-1_task-encoding_run-6_bold,
summary_fg_stdv,14.895,sub-19_ses-1_task-encoding_run-7_bold,
summary_fg_stdv,14.8898,sub-19_ses-1_task-encoding_run-8_bold,
summary_fg_stdv,14.4796,sub-19_ses-1_task-rest_run-1_bold,
summary_fg_stdv,15.1812,sub-19_ses-1_task-rest_run-2_bold,
summary_fg_stdv,14.4826,sub-19_ses-1_task-similarity_run-1_bold,
summary_fg_stdv,14.5485,sub-19_ses-1_task-similarity_run-2_bold,
summary_fg_stdv,14.7134,sub-19_ses-2_task-encoding_run-1_bold,
summary_fg_stdv,14.965,sub-19_ses-2_task-encoding_run-2_bold,
summary_fg_stdv,15.0113,sub-19_ses-2_task-encoding_run-3_bold,
summary_fg_stdv,15.2025,sub-19_ses-2_task-encoding_run-4_bold,
summary_fg_stdv,15.2759,sub-19_ses-2_task-encoding_run-5_bold,
summary_fg_stdv,15.3712,sub-19_ses-2_task-encoding_run-6_bold,
summary_fg_stdv,15.5209,sub-19_ses-2_task-encoding_run-7_bold,
summary_fg_stdv,15.6102,sub-19_ses-2_task-encoding_run-8_bold,
summary_fg_stdv,15.4278,sub-19_ses-2_task-rest_run-1_bold,
summary_fg_stdv,15.5219,sub-19_ses-2_task-similarity_run-1_bold,
summary_fg_stdv,15.4951,sub-19_ses-2_task-similarity_run-2_bold,
summary_fg_stdv,14.7555,sub-20_ses-1_task-encoding_run-1_bold,
summary_fg_stdv,14.6998,sub-20_ses-1_task-encoding_run-2_bold,
summary_fg_stdv,14.7593,sub-20_ses-1_task-encoding_run-3_bold,
summary_fg_stdv,14.7587,sub-20_ses-1_task-encoding_run-4_bold,
summary_fg_stdv,14.6949,sub-20_ses-1_task-encoding_run-5_bold,
summary_fg_stdv,14.733,sub-20_ses-1_task-encoding_run-6_bold,
summary_fg_stdv,14.7155,sub-20_ses-1_task-encoding_run-7_bold,
summary_fg_stdv,14.6974,sub-20_ses-1_task-encoding_run-8_bold,
summary_fg_stdv,14.2845,sub-20_ses-1_task-rest_run-1_bold,
summary_fg_stdv,14.6333,sub-20_ses-1_task-rest_run-2_bold,
summary_fg_stdv,14.3643,sub-20_ses-1_task-similarity_run-1_bold,
summary_fg_stdv,14.7264,sub-20_ses-1_task-similarity_run-2_bold,
summary_fg_stdv,14.0845,sub-20_ses-2_task-encoding_run-1_bold,
summary_fg_stdv,14.2967,sub-20_ses-2_task-encoding_run-2_bold,
summary_fg_stdv,14.4267,sub-20_ses-2_task-encoding_run-3_bold,
summary_fg_stdv,14.4359,sub-20_ses-2_task-encoding_run-4_bold,
summary_fg_stdv,14.6836,sub-20_ses-2_task-encoding_run-5_bold,
summary_fg_stdv,14.6974,sub-20_ses-2_task-encoding_run-6_bold,
summary_fg_stdv,14.5243,sub-20_ses-2_task-encoding_run-7_bold,
summary_fg_stdv,14.7167,sub-20_ses-2_task-encoding_run-8_bold,
summary_fg_stdv,14.8813,sub-20_ses-2_task-rest_run-1_bold,
summary_fg_stdv,14.5108,sub-20_ses-2_task-similarity_run-1_bold,
summary_fg_stdv,14.7201,sub-20_ses-2_task-similarity_run-2_bold,
summary_fg_stdv,14.0152,sub-25_ses-1_task-encoding_run-1_bold,
summary_fg_stdv,13.8329,sub-25_ses-1_task-encoding_run-2_bold,
summary_fg_stdv,14.1167,sub-25_ses-1_task-encoding_run-3_bold,
summary_fg_stdv,14.0489,sub-25_ses-1_task-encoding_run-4_bold,
summary_fg_stdv,14.2553,sub-25_ses-1_task-encoding_run-5_bold,
summary_fg_stdv,14.2261,sub-25_ses-1_task-encoding_run-6_bold,
summary_fg_stdv,14.4417,sub-25_ses-1_task-encoding_run-7_bold,
summary_fg_stdv,14.4246,sub-25_ses-1_task-encoding_run-8_bold,
summary_fg_stdv,14.203,sub-25_ses-1_task-rest_run-1_bold,
summary_fg_stdv,14.3712,sub-25_ses-1_task-rest_run-2_bold,
summary_fg_stdv,14.2346,sub-25_ses-1_task-similarity_run-1_bold,
summary_fg_stdv,13.8097,sub-25_ses-1_task-similarity_run-2_bold,
summary_fg_stdv,13.9207,sub-25_ses-2_task-encoding_run-1_bold,
summary_fg_stdv,14.0028,sub-25_ses-2_task-encoding_run-2_bold,
summary_fg_stdv,14.1779,sub-25_ses-2_task-encoding_run-3_bold,
summary_fg_stdv,13.9938,sub-25_ses-2_task-encoding_run-4_bold,
summary_fg_stdv,14.0962,sub-25_ses-2_task-encoding_run-5_bold,
summary_fg_stdv,14.1226,sub-25_ses-2_task-encoding_run-6_bold,
summary_fg_stdv,14.1859,sub-25_ses-2_task-encoding_run-7_bold,
summary_fg_stdv,14.1341,sub-25_ses-2_task-encoding_run-8_bold,
summary_fg_stdv,14.0703,sub-25_ses-2_task-rest_run-1_bold,
summary_fg_stdv,14.0674,sub-25_ses-2_task-similarity_run-1_bold,
summary_fg_stdv,14.1643,sub-25_ses-2_task-similarity_run-2_bold,
summary_fg_stdv,14.9577,sub-26_ses-1_task-encoding_run-1_bold,
summary_fg_stdv,15.2193,sub-26_ses-1_task-encoding_run-2_bold,
summary_fg_stdv,15.258,sub-26_ses-1_task-encoding_run-3_bold,
summary_fg_stdv,15.2976,sub-26_ses-1_task-encoding_run-4_bold,
summary_fg_stdv,15.0823,sub-26_ses-1_task-encoding_run-5_bold,
summary_fg_stdv,15.1588,sub-26_ses-1_task-encoding_run-6_bold,
summary_fg_stdv,15.2671,sub-26_ses-1_task-encoding_run-7_bold,
summary_fg_stdv,15.3104,sub-26_ses-1_task-encoding_run-8_bold,
summary_fg_stdv,14.7235,sub-26_ses-1_task-rest_run-1_bold,
summary_fg_stdv,15.3247,sub-26_ses-1_task-rest_run-2_bold,
summary_fg_stdv,14.9038,sub-26_ses-1_task-similarity_run-1_bold,
summary_fg_stdv,15.1705,sub-26_ses-1_task-similarity_run-2_bold,
summary_fg_stdv,14.9821,sub-26_ses-2_task-encoding_run-1_bold,
summary_fg_stdv,15.0806,sub-26_ses-2_task-encoding_run-2_bold,
summary_fg_stdv,15.1368,sub-26_ses-2_task-encoding_run-3_bold,
summary_fg_stdv,15.4924,sub-26_ses-2_task-encoding_run-4_bold,
summary_fg_stdv,15.3734,sub-26_ses-2_task-encoding_run-5_bold,
summary_fg_stdv,15.3264,sub-26_ses-2_task-encoding_run-6_bold,
summary_fg_stdv,15.7343,sub-26_ses-2_task-encoding_run-7_bold,
summary_fg_stdv,15.7197,sub-26_ses-2_task-encoding_run-8_bold,
summary_fg_stdv,15.7776,sub-26_ses-2_task-rest_run-1_bold,
summary_fg_stdv,15.4169,sub-26_ses-2_task-similarity_run-1_bold,
summary_fg_stdv,15.5978,sub-26_ses-2_task-similarity_run-2_bold,
summary_fg_stdv,12.5389,sub-27_ses-1_task-encoding_run-1_bold,
summary_fg_stdv,12.4742,sub-27_ses-1_task-encoding_run-2_bold,
summary_fg_stdv,12.5683,sub-27_ses-1_task-encoding_run-3_bold,
summary_fg_stdv,12.7056,sub-27_ses-1_task-encoding_run-4_bold,
summary_fg_stdv,12.6612,sub-27_ses-1_task-encoding_run-5_bold,
summary_fg_stdv,12.64,sub-27_ses-1_task-encoding_run-6_bold,
summary_fg_stdv,12.7188,sub-27_ses-1_task-encoding_run-7_bold,
summary_fg_stdv,12.5688,sub-27_ses-1_task-encoding_run-8_bold,
summary_fg_stdv,11.9545,sub-27_ses-1_task-rest_run-1_bold,
summary_fg_stdv,12.5913,sub-27_ses-1_task-rest_run-2_bold,
summary_fg_stdv,11.9451,sub-27_ses-1_task-similarity_run-1_bold,
summary_fg_stdv,12.1893,sub-27_ses-1_task-similarity_run-2_bold,
summary_fg_stdv,11.9548,sub-27_ses-2_task-encoding_run-1_bold,
summary_fg_stdv,12.0559,sub-27_ses-2_task-encoding_run-2_bold,
summary_fg_stdv,11.9662,sub-27_ses-2_task-encoding_run-3_bold,
summary_fg_stdv,12.0749,sub-27_ses-2_task-encoding_run-4_bold,
summary_fg_stdv,12.0205,sub-27_ses-2_task-encoding_run-5_bold,
summary_fg_stdv,12.0491,sub-27_ses-2_task-encoding_run-6_bold,
summary_fg_stdv,12.064,sub-27_ses-2_task-encoding_run-7_bold,
summary_fg_stdv,12.1905,sub-27_ses-2_task-encoding_run-8_bold,
summary_fg_stdv,12.2269,sub-27_ses-2_task-rest_run-1_bold,
summary_fg_stdv,12.2196,sub-27_ses-2_task-similarity_run-1_bold,
summary_fg_stdv,12.2875,sub-27_ses-2_task-similarity_run-2_bold,
summary_fg_stdv,13.361,sub-28_ses-1_task-encoding_run-1_bold,
summary_fg_stdv,13.5126,sub-28_ses-1_task-encoding_run-2_bold,
summary_fg_stdv,13.4567,sub-28_ses-1_task-encoding_run-3_bold,
summary_fg_stdv,13.2762,sub-28_ses-1_task-encoding_run-4_bold,
summary_fg_stdv,13.5142,sub-28_ses-1_task-encoding_run-5_bold,
summary_fg_stdv,13.4563,sub-28_ses-1_task-encoding_run-6_bold,
summary_fg_stdv,13.451,sub-28_ses-1_task-encoding_run-7_bold,
summary_fg_stdv,13.492,sub-28_ses-1_task-encoding_run-8_bold,
summary_fg_stdv,13.095,sub-28_ses-1_task-rest_run-1_bold,
summary_fg_stdv,13.5234,sub-28_ses-1_task-rest_run-2_bold,
summary_fg_stdv,13.1466,sub-28_ses-1_task-similarity_run-1_bold,
summary_fg_stdv,13.4055,sub-28_ses-1_task-similarity_run-2_bold,
summary_fg_stdv,15.0338,sub-28_ses-2_task-encoding_run-1_bold,
summary_fg_stdv,15.1925,sub-28_ses-2_task-encoding_run-2_bold,
summary_fg_stdv,15.3359,sub-28_ses-2_task-encoding_run-3_bold,
summary_fg_stdv,15.38,sub-28_ses-2_task-encoding_run-4_bold,
summary_fg_stdv,15.3062,sub-28_ses-2_task-encoding_run-5_bold,
summary_fg_stdv,15.4376,sub-28_ses-2_task-encoding_run-6_bold,
summary_fg_stdv,15.5252,sub-28_ses-2_task-encoding_run-7_bold,
summary_fg_stdv,15.7132,sub-28_ses-2_task-encoding_run-8_bold,
summary_fg_stdv,15.4716,sub-28_ses-2_task-rest_run-1_bold,
summary_fg_stdv,15.6055,sub-28_ses-2_task-similarity_run-1_bold,
summary_fg_stdv,15.7071,sub-28_ses-2_task-similarity_run-2_bold,
summary_fg_k,2.1226,sub-01_ses-1_task-encoding_run-1_bold,
summary_fg_k,2.268,sub-01_ses-1_task-encoding_run-2_bold,
summary_fg_k,2.2543,sub-01_ses-1_task-encoding_run-3_bold,
summary_fg_k,2.1602,sub-01_ses-1_task-encoding_run-4_bold,
summary_fg_k,2.1948,sub-01_ses-1_task-encoding_run-5_bold,
summary_fg_k,2.1759,sub-01_ses-1_task-encoding_run-6_bold,
summary_fg_k,2.123,sub-01_ses-1_task-encoding_run-7_bold,
summary_fg_k,2.1743,sub-01_ses-1_task-encoding_run-8_bold,
summary_fg_k,2.2728,sub-01_ses-1_task-rest_run-1_bold,
summary_fg_k,2.2824,sub-01_ses-1_task-similarity_run-1_bold,
summary_fg_k,2.3237,sub-01_ses-1_task-similarity_run-2_bold,
summary_fg_k,1.307,sub-01_ses-2_task-encoding_run-1_bold,
summary_fg_k,1.3119,sub-01_ses-2_task-encoding_run-2_bold,
summary_fg_k,1.3414,sub-01_ses-2_task-encoding_run-3_bold,
summary_fg_k,1.2948,sub-01_ses-2_task-encoding_run-4_bold,
summary_fg_k,1.2184,sub-01_ses-2_task-encoding_run-5_bold,
summary_fg_k,1.1551,sub-01_ses-2_task-encoding_run-6_bold,
summary_fg_k,1.1739,sub-01_ses-2_task-encoding_run-7_bold,
summary_fg_k,1.1557,sub-01_ses-2_task-encoding_run-8_bold,
summary_fg_k,1.1456,sub-01_ses-2_task-rest_run-1_bold,
summary_fg_k,1.0894,sub-01_ses-2_task-similarity_run-1_bold,
summary_fg_k,1.0411,sub-01_ses-2_task-similarity_run-2_bold,
summary_fg_k,1.6103,sub-02_ses-1_task-encoding_run-1_bold,
summary_fg_k,1.7117,sub-02_ses-1_task-encoding_run-2_bold,
summary_fg_k,1.6769,sub-02_ses-1_task-encoding_run-3_bold,
summary_fg_k,1.6821,sub-02_ses-1_task-encoding_run-4_bold,
summary_fg_k,1.7665,sub-02_ses-1_task-encoding_run-5_bold,
summary_fg_k,1.7843,sub-02_ses-1_task-encoding_run-6_bold,
summary_fg_k,1.7524,sub-02_ses-1_task-encoding_run-7_bold,
summary_fg_k,1.7151,sub-02_ses-1_task-encoding_run-8_bold,
summary_fg_k,1.7,sub-02_ses-1_task-rest_run-1_bold,
summary_fg_k,1.6197,sub-02_ses-1_task-rest_run-2_bold,
summary_fg_k,1.7332,sub-02_ses-1_task-similarity_run-1_bold,
summary_fg_k,1.678,sub-02_ses-1_task-similarity_run-2_bold,
summary_fg_k,1.136,sub-02_ses-2_task-encoding_run-1_bold,
summary_fg_k,1.1805,sub-02_ses-2_task-encoding_run-2_bold,
summary_fg_k,1.1622,sub-02_ses-2_task-encoding_run-3_bold,
summary_fg_k,1.117,sub-02_ses-2_task-encoding_run-4_bold,
summary_fg_k,1.0666,sub-02_ses-2_task-encoding_run-5_bold,
summary_fg_k,1.0639,sub-02_ses-2_task-encoding_run-6_bold,
summary_fg_k,1.074,sub-02_ses-2_task-encoding_run-7_bold,
summary_fg_k,1.0974,sub-02_ses-2_task-encoding_run-8_bold,
summary_fg_k,1.1133,sub-02_ses-2_task-rest_run-1_bold,
summary_fg_k,0.7377,sub-02_ses-2_task-similarity_run-1_bold,
summary_fg_k,0.7557,sub-02_ses-2_task-similarity_run-2_bold,
summary_fg_k,2.0134,sub-03_ses-1_task-encoding_run-1_bold,
summary_fg_k,2.0039,sub-03_ses-1_task-encoding_run-2_bold,
summary_fg_k,2.0474,sub-03_ses-1_task-encoding_run-3_bold,
summary_fg_k,1.9912,sub-03_ses-1_task-encoding_run-4_bold,
summary_fg_k,1.9764,sub-03_ses-1_task-encoding_run-5_bold,
summary_fg_k,1.9563,sub-03_ses-1_task-encoding_run-6_bold,
summary_fg_k,1.9007,sub-03_ses-1_task-encoding_run-7_bold,
summary_fg_k,1.8852,sub-03_ses-1_task-encoding_run-8_bold,
summary_fg_k,1.9465,sub-03_ses-1_task-rest_run-1_bold,
summary_fg_k,1.9675,sub-03_ses-1_task-rest_run-2_bold,
summary_fg_k,2.0403,sub-03_ses-1_task-similarity_run-1_bold,
summary_fg_k,1.9819,sub-03_ses-1_task-similarity_run-2_bold,
summary_fg_k,1.7103,sub-03_ses-2_task-encoding_run-1_bold,
summary_fg_k,1.692,sub-03_ses-2_task-encoding_run-2_bold,
summary_fg_k,1.5859,sub-03_ses-2_task-encoding_run-3_bold,
summary_fg_k,1.5685,sub-03_ses-2_task-encoding_run-4_bold,
summary_fg_k,1.6655,sub-03_ses-2_task-encoding_run-5_bold,
summary_fg_k,1.6383,sub-03_ses-2_task-encoding_run-6_bold,
summary_fg_k,1.6048,sub-03_ses-2_task-encoding_run-7_bold,
summary_fg_k,1.5736,sub-03_ses-2_task-encoding_run-8_bold,
summary_fg_k,1.5762,sub-03_ses-2_task-rest_run-1_bold,
summary_fg_k,1.5487,sub-03_ses-2_task-similarity_run-1_bold,
summary_fg_k,1.5633,sub-03_ses-2_task-similarity_run-2_bold,
summary_fg_k,1.3666,sub-04_ses-1_task-encoding_run-1_bold,
summary_fg_k,1.3041,sub-04_ses-1_task-encoding_run-2_bold,
summary_fg_k,1.3778,sub-04_ses-1_task-encoding_run-3_bold,
summary_fg_k,1.3291,sub-04_ses-1_task-encoding_run-4_bold,
summary_fg_k,1.2689,sub-04_ses-1_task-encoding_run-5_bold,
summary_fg_k,1.2176,sub-04_ses-1_task-encoding_run-6_bold,
summary_fg_k,1.2165,sub-04_ses-1_task-encoding_run-7_bold,
summary_fg_k,1.1546,sub-04_ses-1_task-encoding_run-8_bold,
summary_fg_k,1.4193,sub-04_ses-1_task-rest_run-1_bold,
summary_fg_k,1.1741,sub-04_ses-1_task-rest_run-2_bold,
summary_fg_k,1.3852,sub-04_ses-1_task-similarity_run-1_bold,
summary_fg_k,1.3179,sub-04_ses-1_task-similarity_run-2_bold,
summary_fg_k,1.3658,sub-04_ses-2_task-encoding_run-1_bold,
summary_fg_k,1.3045,sub-04_ses-2_task-encoding_run-2_bold,
summary_fg_k,1.3091,sub-04_ses-2_task-encoding_run-3_bold,
summary_fg_k,1.2655,sub-04_ses-2_task-encoding_run-4_bold,
summary_fg_k,1.2408,sub-04_ses-2_task-encoding_run-5_bold,
summary_fg_k,1.1956,sub-04_ses-2_task-encoding_run-6_bold,
summary_fg_k,1.2292,sub-04_ses-2_task-encoding_run-7_bold,
summary_fg_k,1.2228,sub-04_ses-2_task-encoding_run-8_bold,
summary_fg_k,1.2033,sub-04_ses-2_task-rest_run-1_bold,
summary_fg_k,1.2435,sub-04_ses-2_task-similarity_run-1_bold,
summary_fg_k,1.2422,sub-04_ses-2_task-similarity_run-2_bold,
summary_fg_k,0.7922,sub-06_ses-1_task-encoding_run-1_bold,
summary_fg_k,0.7929,sub-06_ses-1_task-encoding_run-2_bold,
summary_fg_k,0.7839,sub-06_ses-1_task-encoding_run-3_bold,
summary_fg_k,0.7577,sub-06_ses-1_task-encoding_run-4_bold,
summary_fg_k,0.7553,sub-06_ses-1_task-encoding_run-5_bold,
summary_fg_k,0.7535,sub-06_ses-1_task-encoding_run-6_bold,
summary_fg_k,0.7241,sub-06_ses-1_task-encoding_run-7_bold,
summary_fg_k,0.7112,sub-06_ses-1_task-encoding_run-8_bold,
summary_fg_k,0.8693,sub-06_ses-1_task-rest_run-1_bold,
summary_fg_k,0.7222,sub-06_ses-1_task-rest_run-2_bold,
summary_fg_k,0.8631,sub-06_ses-1_task-similarity_run-1_bold,
summary_fg_k,0.804,sub-06_ses-1_task-similarity_run-2_bold,
summary_fg_k,0.8472,sub-06_ses-2_task-encoding_run-1_bold,
summary_fg_k,0.8355,sub-06_ses-2_task-encoding_run-2_bold,
summary_fg_k,0.8144,sub-06_ses-2_task-encoding_run-3_bold,
summary_fg_k,0.7757,sub-06_ses-2_task-encoding_run-4_bold,
summary_fg_k,0.7917,sub-06_ses-2_task-encoding_run-5_bold,
summary_fg_k,0.7789,sub-06_ses-2_task-encoding_run-6_bold,
summary_fg_k,0.7688,sub-06_ses-2_task-encoding_run-7_bold,
summary_fg_k,0.7447,sub-06_ses-2_task-encoding_run-8_bold,
summary_fg_k,0.7446,sub-06_ses-2_task-rest_run-1_bold,
summary_fg_k,0.7541,sub-06_ses-2_task-similarity_run-1_bold,
summary_fg_k,0.765,sub-06_ses-2_task-similarity_run-2_bold,
summary_fg_k,0.9901,sub-08_ses-1_task-encoding_run-1_bold,
summary_fg_k,0.9955,sub-08_ses-1_task-encoding_run-2_bold,
summary_fg_k,0.9794,sub-08_ses-1_task-encoding_run-3_bold,
summary_fg_k,0.9291,sub-08_ses-1_task-encoding_run-4_bold,
summary_fg_k,0.9139,sub-08_ses-1_task-encoding_run-5_bold,
summary_fg_k,0.9337,sub-08_ses-1_task-encoding_run-6_bold,
summary_fg_k,0.9231,sub-08_ses-1_task-encoding_run-7_bold,
summary_fg_k,0.8835,sub-08_ses-1_task-encoding_run-8_bold,
summary_fg_k,1.0772,sub-08_ses-1_task-rest_run-1_bold,
summary_fg_k,0.8707,sub-08_ses-1_task-rest_run-2_bold,
summary_fg_k,1.0887,sub-08_ses-1_task-similarity_run-1_bold,
summary_fg_k,1.0284,sub-08_ses-1_task-similarity_run-2_bold,
summary_fg_k,1.0003,sub-08_ses-2_task-encoding_run-1_bold,
summary_fg_k,1.0273,sub-08_ses-2_task-encoding_run-2_bold,
summary_fg_k,0.9879,sub-08_ses-2_task-encoding_run-3_bold,
summary_fg_k,0.9796,sub-08_ses-2_task-encoding_run-4_bold,
summary_fg_k,0.9237,sub-08_ses-2_task-encoding_run-5_bold,
summary_fg_k,0.9196,sub-08_ses-2_task-encoding_run-6_bold,
summary_fg_k,0.8904,sub-08_ses-2_task-encoding_run-7_bold,
summary_fg_k,0.8789,sub-08_ses-2_task-encoding_run-8_bold,
summary_fg_k,0.9096,sub-08_ses-2_task-rest_run-1_bold,
summary_fg_k,0.8871,sub-08_ses-2_task-similarity_run-1_bold,
summary_fg_k,0.8936,sub-08_ses-2_task-similarity_run-2_bold,
summary_fg_k,1.515,sub-09_ses-1_task-encoding_run-1_bold,
summary_fg_k,1.5413,sub-09_ses-1_task-encoding_run-2_bold,
summary_fg_k,1.5533,sub-09_ses-1_task-encoding_run-3_bold,
summary_fg_k,1.4977,sub-09_ses-1_task-encoding_run-4_bold,
summary_fg_k,1.4793,sub-09_ses-1_task-encoding_run-5_bold,
summary_fg_k,1.5089,sub-09_ses-1_task-encoding_run-6_bold,
summary_fg_k,1.4396,sub-09_ses-1_task-encoding_run-7_bold,
summary_fg_k,1.434,sub-09_ses-1_task-encoding_run-8_bold,
summary_fg_k,1.5023,sub-09_ses-1_task-rest_run-1_bold,
summary_fg_k,1.4532,sub-09_ses-1_task-rest_run-2_bold,
summary_fg_k,1.5141,sub-09_ses-1_task-similarity_run-1_bold,
summary_fg_k,1.4862,sub-09_ses-1_task-similarity_run-2_bold,
summary_fg_k,2.0747,sub-09_ses-2_task-encoding_run-1_bold,
summary_fg_k,2.1477,sub-09_ses-2_task-encoding_run-2_bold,
summary_fg_k,2.1641,sub-09_ses-2_task-encoding_run-3_bold,
summary_fg_k,2.1215,sub-09_ses-2_task-encoding_run-4_bold,
summary_fg_k,2.1204,sub-09_ses-2_task-encoding_run-5_bold,
summary_fg_k,2.0826,sub-09_ses-2_task-encoding_run-6_bold,
summary_fg_k,2.194,sub-09_ses-2_task-encoding_run-7_bold,
summary_fg_k,2.1577,sub-09_ses-2_task-encoding_run-8_bold,
summary_fg_k,2.1813,sub-09_ses-2_task-rest_run-1_bold,
summary_fg_k,2.1885,sub-09_ses-2_task-similarity_run-1_bold,
summary_fg_k,2.0744,sub-09_ses-2_task-similarity_run-2_bold,
summary_fg_k,0.4362,sub-10_ses-1_task-encoding_run-1_bold,
summary_fg_k,0.4192,sub-10_ses-1_task-encoding_run-2_bold,
summary_fg_k,0.41,sub-10_ses-1_task-encoding_run-3_bold,
summary_fg_k,0.4071,sub-10_ses-1_task-encoding_run-4_bold,
summary_fg_k,0.3875,sub-10_ses-1_task-encoding_run-5_bold,
summary_fg_k,0.3984,sub-10_ses-1_task-encoding_run-6_bold,
summary_fg_k,0.3783,sub-10_ses-1_task-encoding_run-7_bold,
summary_fg_k,0.368,sub-10_ses-1_task-encoding_run-8_bold,
summary_fg_k,0.492,sub-10_ses-1_task-rest_run-1_bold,
summary_fg_k,0.3974,sub-10_ses-1_task-rest_run-2_bold,
summary_fg_k,0.4723,sub-10_ses-1_task-similarity_run-1_bold,
summary_fg_k,0.4496,sub-10_ses-1_task-similarity_run-2_bold,
summary_fg_k,0.7087,sub-10_ses-2_task-encoding_run-1_bold,
summary_fg_k,0.7437,sub-10_ses-2_task-encoding_run-2_bold,
summary_fg_k,0.7443,sub-10_ses-2_task-encoding_run-3_bold,
summary_fg_k,0.7195,sub-10_ses-2_task-encoding_run-4_bold,
summary_fg_k,0.6939,sub-10_ses-2_task-encoding_run-5_bold,
summary_fg_k,0.6705,sub-10_ses-2_task-encoding_run-6_bold,
summary_fg_k,0.6662,sub-10_ses-2_task-encoding_run-7_bold,
summary_fg_k,0.663,sub-10_ses-2_task-encoding_run-8_bold,
summary_fg_k,0.6798,sub-10_ses-2_task-rest_run-1_bold,
summary_fg_k,0.7003,sub-10_ses-2_task-similarity_run-1_bold,
summary_fg_k,0.661,sub-10_ses-2_task-similarity_run-2_bold,
summary_fg_k,2.2537,sub-11_ses-1_task-encoding_run-1_bold,
summary_fg_k,2.2474,sub-11_ses-1_task-encoding_run-2_bold,
summary_fg_k,2.2396,sub-11_ses-1_task-encoding_run-3_bold,
summary_fg_k,2.2929,sub-11_ses-1_task-encoding_run-4_bold,
summary_fg_k,2.2789,sub-11_ses-1_task-encoding_run-5_bold,
summary_fg_k,2.2136,sub-11_ses-1_task-encoding_run-6_bold,
summary_fg_k,2.2157,sub-11_ses-1_task-encoding_run-7_bold,
summary_fg_k,2.2464,sub-11_ses-1_task-encoding_run-8_bold,
summary_fg_k,2.1303,sub-11_ses-1_task-rest_run-1_bold,
summary_fg_k,2.1471,sub-11_ses-1_task-rest_run-2_bold,
summary_fg_k,2.2144,sub-11_ses-1_task-similarity_run-1_bold,
summary_fg_k,2.2183,sub-11_ses-1_task-similarity_run-2_bold,
summary_fg_k,2.4738,sub-11_ses-2_task-encoding_run-1_bold,
summary_fg_k,2.4608,sub-11_ses-2_task-encoding_run-2_bold,
summary_fg_k,2.4788,sub-11_ses-2_task-encoding_run-3_bold,
summary_fg_k,2.5033,sub-11_ses-2_task-encoding_run-4_bold,
summary_fg_k,2.4057,sub-11_ses-2_task-encoding_run-5_bold,
summary_fg_k,2.5092,sub-11_ses-2_task-encoding_run-6_bold,
summary_fg_k,2.5091,sub-11_ses-2_task-encoding_run-7_bold,
summary_fg_k,2.5253,sub-11_ses-2_task-encoding_run-8_bold,
summary_fg_k,2.5314,sub-11_ses-2_task-rest_run-1_bold,
summary_fg_k,2.5195,sub-11_ses-2_task-similarity_run-1_bold,
summary_fg_k,2.5035,sub-11_ses-2_task-similarity_run-2_bold,
summary_fg_k,1.0577,sub-13_ses-1_task-encoding_run-1_bold,
summary_fg_k,1.0576,sub-13_ses-1_task-encoding_run-2_bold,
summary_fg_k,1.0468,sub-13_ses-1_task-encoding_run-3_bold,
summary_fg_k,1.0322,sub-13_ses-1_task-encoding_run-4_bold,
summary_fg_k,1.0399,sub-13_ses-1_task-encoding_run-5_bold,
summary_fg_k,1.0096,sub-13_ses-1_task-encoding_run-6_bold,
summary_fg_k,1.0214,sub-13_ses-1_task-encoding_run-7_bold,
summary_fg_k,1.0256,sub-13_ses-1_task-encoding_run-8_bold,
summary_fg_k,1.0926,sub-13_ses-1_task-rest_run-1_bold,
summary_fg_k,1.022,sub-13_ses-1_task-rest_run-2_bold,
summary_fg_k,1.1206,sub-13_ses-1_task-similarity_run-1_bold,
summary_fg_k,1.0842,sub-13_ses-1_task-similarity_run-2_bold,
summary_fg_k,1.0446,sub-13_ses-2_task-encoding_run-1_bold,
summary_fg_k,1.0265,sub-13_ses-2_task-encoding_run-2_bold,
summary_fg_k,1.0103,sub-13_ses-2_task-encoding_run-3_bold,
summary_fg_k,1.0096,sub-13_ses-2_task-encoding_run-4_bold,
summary_fg_k,0.9827,sub-13_ses-2_task-encoding_run-5_bold,
summary_fg_k,0.9704,sub-13_ses-2_task-encoding_run-6_bold,
summary_fg_k,0.9438,sub-13_ses-2_task-encoding_run-7_bold,
summary_fg_k,0.9472,sub-13_ses-2_task-encoding_run-8_bold,
summary_fg_k,0.9757,sub-13_ses-2_task-rest_run-1_bold,
summary_fg_k,0.9707,sub-13_ses-2_task-similarity_run-1_bold,
summary_fg_k,0.8826,sub-13_ses-2_task-similarity_run-2_bold,
summary_fg_k,0.7397,sub-14_ses-1_task-encoding_run-1_bold,
summary_fg_k,0.7089,sub-14_ses-1_task-encoding_run-2_bold,
summary_fg_k,0.7067,sub-14_ses-1_task-encoding_run-3_bold,
summary_fg_k,0.6849,sub-14_ses-1_task-encoding_run-4_bold,
summary_fg_k,0.6814,sub-14_ses-1_task-encoding_run-5_bold,
summary_fg_k,0.6612,sub-14_ses-1_task-encoding_run-6_bold,
summary_fg_k,0.6513,sub-14_ses-1_task-encoding_run-7_bold,
summary_fg_k,0.6581,sub-14_ses-1_task-encoding_run-8_bold,
summary_fg_k,0.7568,sub-14_ses-1_task-rest_run-1_bold,
summary_fg_k,0.6521,sub-14_ses-1_task-rest_run-2_bold,
summary_fg_k,0.7872,sub-14_ses-1_task-similarity_run-1_bold,
summary_fg_k,0.779,sub-14_ses-1_task-similarity_run-2_bold,
summary_fg_k,2.0424,sub-14_ses-2_task-encoding_run-1_bold,
summary_fg_k,2.1391,sub-14_ses-2_task-encoding_run-2_bold,
summary_fg_k,2.0595,sub-14_ses-2_task-encoding_run-3_bold,
summary_fg_k,2.1171,sub-14_ses-2_task-encoding_run-4_bold,
summary_fg_k,2.0814,sub-14_ses-2_task-encoding_run-5_bold,
summary_fg_k,2.0417,sub-14_ses-2_task-encoding_run-6_bold,
summary_fg_k,2.0299,sub-14_ses-2_task-encoding_run-7_bold,
summary_fg_k,2.0146,sub-14_ses-2_task-encoding_run-8_bold,
summary_fg_k,2.1226,sub-14_ses-2_task-rest_run-1_bold,
summary_fg_k,2.1595,sub-14_ses-2_task-similarity_run-1_bold,
summary_fg_k,2.0864,sub-14_ses-2_task-similarity_run-2_bold,
summary_fg_k,1.1428,sub-16_ses-1_task-encoding_run-1_bold,
summary_fg_k,1.1764,sub-16_ses-1_task-encoding_run-2_bold,
summary_fg_k,1.1492,sub-16_ses-1_task-encoding_run-3_bold,
summary_fg_k,1.1435,sub-16_ses-1_task-encoding_run-4_bold,
summary_fg_k,1.1861,sub-16_ses-1_task-encoding_run-5_bold,
summary_fg_k,1.1755,sub-16_ses-1_task-encoding_run-6_bold,
summary_fg_k,1.1432,sub-16_ses-1_task-encoding_run-7_bold,
summary_fg_k,1.1491,sub-16_ses-1_task-encoding_run-8_bold,
summary_fg_k,1.272,sub-16_ses-1_task-rest_run-1_bold,
summary_fg_k,1.211,sub-16_ses-1_task-rest_run-2_bold,
summary_fg_k,1.2348,sub-16_ses-1_task-similarity_run-1_bold,
summary_fg_k,1.1532,sub-16_ses-1_task-similarity_run-2_bold,
summary_fg_k,1.6009,sub-16_ses-2_task-encoding_run-1_bold,
summary_fg_k,1.6141,sub-16_ses-2_task-encoding_run-2_bold,
summary_fg_k,1.6309,sub-16_ses-2_task-encoding_run-3_bold,
summary_fg_k,1.6765,sub-16_ses-2_task-encoding_run-4_bold,
summary_fg_k,1.7509,sub-16_ses-2_task-encoding_run-5_bold,
summary_fg_k,1.7143,sub-16_ses-2_task-encoding_run-6_bold,
summary_fg_k,1.7198,sub-16_ses-2_task-encoding_run-7_bold,
summary_fg_k,1.6907,sub-16_ses-2_task-encoding_run-8_bold,
summary_fg_k,1.633,sub-16_ses-2_task-rest_run-1_bold,
summary_fg_k,1.6821,sub-16_ses-2_task-similarity_run-1_bold,
summary_fg_k,1.6878,sub-16_ses-2_task-similarity_run-2_bold,
summary_fg_k,1.612,sub-17_ses-1_task-encoding_run-1_bold,
summary_fg_k,1.564,sub-17_ses-1_task-encoding_run-2_bold,
summary_fg_k,1.5594,sub-17_ses-1_task-encoding_run-3_bold,
summary_fg_k,1.5281,sub-17_ses-1_task-encoding_run-4_bold,
summary_fg_k,1.5008,sub-17_ses-1_task-encoding_run-5_bold,
summary_fg_k,1.5097,sub-17_ses-1_task-encoding_run-6_bold,
summary_fg_k,1.5768,sub-17_ses-1_task-encoding_run-7_bold,
summary_fg_k,1.4952,sub-17_ses-1_task-encoding_run-8_bold,
summary_fg_k,1.7969,sub-17_ses-1_task-rest_run-1_bold,
summary_fg_k,1.5076,sub-17_ses-1_task-rest_run-2_bold,
summary_fg_k,1.7499,sub-17_ses-1_task-similarity_run-1_bold,
summary_fg_k,1.7107,sub-17_ses-1_task-similarity_run-2_bold,
summary_fg_k,1.7891,sub-17_ses-2_task-encoding_run-1_bold,
summary_fg_k,1.6993,sub-17_ses-2_task-encoding_run-2_bold,
summary_fg_k,1.679,sub-17_ses-2_task-encoding_run-3_bold,
summary_fg_k,1.7595,sub-17_ses-2_task-encoding_run-4_bold,
summary_fg_k,1.7546,sub-17_ses-2_task-encoding_run-5_bold,
summary_fg_k,1.7412,sub-17_ses-2_task-encoding_run-6_bold,
summary_fg_k,1.7627,sub-17_ses-2_task-encoding_run-7_bold,
summary_fg_k,1.7421,sub-17_ses-2_task-encoding_run-8_bold,
summary_fg_k,1.7275,sub-17_ses-2_task-rest_run-1_bold,
summary_fg_k,1.7017,sub-17_ses-2_task-similarity_run-1_bold,
summary_fg_k,1.6969,sub-17_ses-2_task-similarity_run-2_bold,
summary_fg_k,1.6194,sub-18_ses-1_task-encoding_run-1_bold,
summary_fg_k,1.6579,sub-18_ses-1_task-encoding_run-2_bold,
summary_fg_k,1.5789,sub-18_ses-1_task-encoding_run-3_bold,
summary_fg_k,1.5871,sub-18_ses-1_task-encoding_run-4_bold,
summary_fg_k,1.5614,sub-18_ses-1_task-encoding_run-5_bold,
summary_fg_k,1.5,sub-18_ses-1_task-encoding_run-6_bold,
summary_fg_k,1.5015,sub-18_ses-1_task-encoding_run-7_bold,
summary_fg_k,1.4803,sub-18_ses-1_task-encoding_run-8_bold,
summary_fg_k,1.6671,sub-18_ses-1_task-rest_run-1_bold,
summary_fg_k,1.5488,sub-18_ses-1_task-rest_run-2_bold,
summary_fg_k,1.7031,sub-18_ses-1_task-similarity_run-1_bold,
summary_fg_k,1.6891,sub-18_ses-1_task-similarity_run-2_bold,
summary_fg_k,1.5213,sub-18_ses-2_task-encoding_run-1_bold,
summary_fg_k,1.535,sub-18_ses-2_task-encoding_run-2_bold,
summary_fg_k,1.496,sub-18_ses-2_task-encoding_run-3_bold,
summary_fg_k,1.4457,sub-18_ses-2_task-encoding_run-4_bold,
summary_fg_k,1.3933,sub-18_ses-2_task-encoding_run-5_bold,
summary_fg_k,1.3508,sub-18_ses-2_task-encoding_run-6_bold,
summary_fg_k,1.3614,sub-18_ses-2_task-encoding_run-7_bold,
summary_fg_k,1.3674,sub-18_ses-2_task-encoding_run-8_bold,
summary_fg_k,1.3294,sub-18_ses-2_task-rest_run-1_bold,
summary_fg_k,1.2914,sub-18_ses-2_task-similarity_run-1_bold,
summary_fg_k,1.221,sub-18_ses-2_task-similarity_run-2_bold,
summary_fg_k,0.8365,sub-19_ses-1_task-encoding_run-1_bold,
summary_fg_k,0.8124,sub-19_ses-1_task-encoding_run-2_bold,
summary_fg_k,0.8081,sub-19_ses-1_task-encoding_run-3_bold,
summary_fg_k,0.7793,sub-19_ses-1_task-encoding_run-4_bold,
summary_fg_k,0.7919,sub-19_ses-1_task-encoding_run-5_bold,
summary_fg_k,0.872,sub-19_ses-1_task-encoding_run-6_bold,
summary_fg_k,0.7417,sub-19_ses-1_task-encoding_run-7_bold,
summary_fg_k,0.7859,sub-19_ses-1_task-encoding_run-8_bold,
summary_fg_k,0.7791,sub-19_ses-1_task-rest_run-1_bold,
summary_fg_k,0.6943,sub-19_ses-1_task-rest_run-2_bold,
summary_fg_k,0.8438,sub-19_ses-1_task-similarity_run-1_bold,
summary_fg_k,0.8033,sub-19_ses-1_task-similarity_run-2_bold,
summary_fg_k,0.8126,sub-19_ses-2_task-encoding_run-1_bold,
summary_fg_k,0.7571,sub-19_ses-2_task-encoding_run-2_bold,
summary_fg_k,0.7471,sub-19_ses-2_task-encoding_run-3_bold,
summary_fg_k,0.7346,sub-19_ses-2_task-encoding_run-4_bold,
summary_fg_k,0.6953,sub-19_ses-2_task-encoding_run-5_bold,
summary_fg_k,0.6669,sub-19_ses-2_task-encoding_run-6_bold,
summary_fg_k,0.617,sub-19_ses-2_task-encoding_run-7_bold,
summary_fg_k,0.602,sub-19_ses-2_task-encoding_run-8_bold,
summary_fg_k,0.673,sub-19_ses-2_task-rest_run-1_bold,
summary_fg_k,0.6704,sub-19_ses-2_task-similarity_run-1_bold,
summary_fg_k,0.6646,sub-19_ses-2_task-similarity_run-2_bold,
summary_fg_k,1.5733,sub-20_ses-1_task-encoding_run-1_bold,
summary_fg_k,1.5824,sub-20_ses-1_task-encoding_run-2_bold,
summary_fg_k,1.5345,sub-20_ses-1_task-encoding_run-3_bold,
summary_fg_k,1.565,sub-20_ses-1_task-encoding_run-4_bold,
summary_fg_k,1.5539,sub-20_ses-1_task-encoding_run-5_bold,
summary_fg_k,1.6348,sub-20_ses-1_task-encoding_run-6_bold,
summary_fg_k,1.6274,sub-20_ses-1_task-encoding_run-7_bold,
summary_fg_k,1.6339,sub-20_ses-1_task-encoding_run-8_bold,
summary_fg_k,1.6625,sub-20_ses-1_task-rest_run-1_bold,
summary_fg_k,1.6387,sub-20_ses-1_task-rest_run-2_bold,
summary_fg_k,1.6494,sub-20_ses-1_task-similarity_run-1_bold,
summary_fg_k,1.5995,sub-20_ses-1_task-similarity_run-2_bold,
summary_fg_k,1.9229,sub-20_ses-2_task-encoding_run-1_bold,
summary_fg_k,1.9278,sub-20_ses-2_task-encoding_run-2_bold,
summary_fg_k,1.9069,sub-20_ses-2_task-encoding_run-3_bold,
summary_fg_k,1.8677,sub-20_ses-2_task-encoding_run-4_bold,
summary_fg_k,1.8178,sub-20_ses-2_task-encoding_run-5_bold,
summary_fg_k,1.8068,sub-20_ses-2_task-encoding_run-6_bold,
summary_fg_k,1.8211,sub-20_ses-2_task-encoding_run-7_bold,
summary_fg_k,1.8128,sub-20_ses-2_task-encoding_run-8_bold,
summary_fg_k,1.749,sub-20_ses-2_task-rest_run-1_bold,
summary_fg_k,1.9105,sub-20_ses-2_task-similarity_run-1_bold,
summary_fg_k,1.7808,sub-20_ses-2_task-similarity_run-2_bold,
summary_fg_k,0.9556,sub-25_ses-1_task-encoding_run-1_bold,
summary_fg_k,0.9646,sub-25_ses-1_task-encoding_run-2_bold,
summary_fg_k,0.9098,sub-25_ses-1_task-encoding_run-3_bold,
summary_fg_k,0.9169,sub-25_ses-1_task-encoding_run-4_bold,
summary_fg_k,0.8793,sub-25_ses-1_task-encoding_run-5_bold,
summary_fg_k,0.8745,sub-25_ses-1_task-encoding_run-6_bold,
summary_fg_k,0.8536,sub-25_ses-1_task-encoding_run-7_bold,
summary_fg_k,0.8451,sub-25_ses-1_task-encoding_run-8_bold,
summary_fg_k,0.9722,sub-25_ses-1_task-rest_run-1_bold,
summary_fg_k,0.872,sub-25_ses-1_task-rest_run-2_bold,
summary_fg_k,0.9529,sub-25_ses-1_task-similarity_run-1_bold,
summary_fg_k,0.9452,sub-25_ses-1_task-similarity_run-2_bold,
summary_fg_k,1.0785,sub-25_ses-2_task-encoding_run-1_bold,
summary_fg_k,1.1099,sub-25_ses-2_task-encoding_run-2_bold,
summary_fg_k,1.0588,sub-25_ses-2_task-encoding_run-3_bold,
summary_fg_k,1.084,sub-25_ses-2_task-encoding_run-4_bold,
summary_fg_k,1.099,sub-25_ses-2_task-encoding_run-5_bold,
summary_fg_k,1.0557,sub-25_ses-2_task-encoding_run-6_bold,
summary_fg_k,1.0618,sub-25_ses-2_task-encoding_run-7_bold,
summary_fg_k,1.0726,sub-25_ses-2_task-encoding_run-8_bold,
summary_fg_k,1.0525,sub-25_ses-2_task-rest_run-1_bold,
summary_fg_k,1.0617,sub-25_ses-2_task-similarity_run-1_bold,
summary_fg_k,1.0405,sub-25_ses-2_task-similarity_run-2_bold,
summary_fg_k,1.6916,sub-26_ses-1_task-encoding_run-1_bold,
summary_fg_k,1.6319,sub-26_ses-1_task-encoding_run-2_bold,
summary_fg_k,1.6189,sub-26_ses-1_task-encoding_run-3_bold,
summary_fg_k,1.6138,sub-26_ses-1_task-encoding_run-4_bold,
summary_fg_k,1.6462,sub-26_ses-1_task-encoding_run-5_bold,
summary_fg_k,1.6566,sub-26_ses-1_task-encoding_run-6_bold,
summary_fg_k,1.6247,sub-26_ses-1_task-encoding_run-7_bold,
summary_fg_k,1.6026,sub-26_ses-1_task-encoding_run-8_bold,
summary_fg_k,1.6912,sub-26_ses-1_task-rest_run-1_bold,
summary_fg_k,1.5661,sub-26_ses-1_task-rest_run-2_bold,
summary_fg_k,1.6631,sub-26_ses-1_task-similarity_run-1_bold,
summary_fg_k,1.6089,sub-26_ses-1_task-similarity_run-2_bold,
summary_fg_k,1.3015,sub-26_ses-2_task-encoding_run-1_bold,
summary_fg_k,1.3452,sub-26_ses-2_task-encoding_run-2_bold,
summary_fg_k,1.3292,sub-26_ses-2_task-encoding_run-3_bold,
summary_fg_k,1.2381,sub-26_ses-2_task-encoding_run-4_bold,
summary_fg_k,1.253,sub-26_ses-2_task-encoding_run-5_bold,
summary_fg_k,1.269,sub-26_ses-2_task-encoding_run-6_bold,
summary_fg_k,1.2063,sub-26_ses-2_task-encoding_run-7_bold,
summary_fg_k,1.2024,sub-26_ses-2_task-encoding_run-8_bold,
summary_fg_k,1.2024,sub-26_ses-2_task-rest_run-1_bold,
summary_fg_k,1.2572,sub-26_ses-2_task-similarity_run-1_bold,
summary_fg_k,1.2042,sub-26_ses-2_task-similarity_run-2_bold,
summary_fg_k,1.8166,sub-27_ses-1_task-encoding_run-1_bold,
summary_fg_k,1.7765,sub-27_ses-1_task-encoding_run-2_bold,
summary_fg_k,1.7655,sub-27_ses-1_task-encoding_run-3_bold,
summary_fg_k,1.7123,sub-27_ses-1_task-encoding_run-4_bold,
summary_fg_k,1.6769,sub-27_ses-1_task-encoding_run-5_bold,
summary_fg_k,1.6628,sub-27_ses-1_task-encoding_run-6_bold,
summary_fg_k,1.6385,sub-27_ses-1_task-encoding_run-7_bold,
summary_fg_k,1.6182,sub-27_ses-1_task-encoding_run-8_bold,
summary_fg_k,2.0385,sub-27_ses-1_task-rest_run-1_bold,
summary_fg_k,1.6255,sub-27_ses-1_task-rest_run-2_bold,
summary_fg_k,2.029,sub-27_ses-1_task-similarity_run-1_bold,
summary_fg_k,1.8823,sub-27_ses-1_task-similarity_run-2_bold,
summary_fg_k,1.8558,sub-27_ses-2_task-encoding_run-1_bold,
summary_fg_k,1.856,sub-27_ses-2_task-encoding_run-2_bold,
summary_fg_k,1.9147,sub-27_ses-2_task-encoding_run-3_bold,
summary_fg_k,1.9214,sub-27_ses-2_task-encoding_run-4_bold,
summary_fg_k,1.8848,sub-27_ses-2_task-encoding_run-5_bold,
summary_fg_k,1.9104,sub-27_ses-2_task-encoding_run-6_bold,
summary_fg_k,1.9361,sub-27_ses-2_task-encoding_run-7_bold,
summary_fg_k,1.8892,sub-27_ses-2_task-encoding_run-8_bold,
summary_fg_k,1.8657,sub-27_ses-2_task-rest_run-1_bold,
summary_fg_k,1.7574,sub-27_ses-2_task-similarity_run-1_bold,
summary_fg_k,1.7994,sub-27_ses-2_task-similarity_run-2_bold,
summary_fg_k,2.1843,sub-28_ses-1_task-encoding_run-1_bold,
summary_fg_k,2.1226,sub-28_ses-1_task-encoding_run-2_bold,
summary_fg_k,2.128,sub-28_ses-1_task-encoding_run-3_bold,
summary_fg_k,2.1109,sub-28_ses-1_task-encoding_run-4_bold,
summary_fg_k,2.1395,sub-28_ses-1_task-encoding_run-5_bold,
summary_fg_k,2.2305,sub-28_ses-1_task-encoding_run-6_bold,
summary_fg_k,2.2478,sub-28_ses-1_task-encoding_run-7_bold,
summary_fg_k,2.2453,sub-28_ses-1_task-encoding_run-8_bold,
summary_fg_k,2.2253,sub-28_ses-1_task-rest_run-1_bold,
summary_fg_k,2.2423,sub-28_ses-1_task-rest_run-2_bold,
summary_fg_k,2.2232,sub-28_ses-1_task-similarity_run-1_bold,
summary_fg_k,2.1707,sub-28_ses-1_task-similarity_run-2_bold,
summary_fg_k,1.078,sub-28_ses-2_task-encoding_run-1_bold,
summary_fg_k,1.0762,sub-28_ses-2_task-encoding_run-2_bold,
summary_fg_k,1.0486,sub-28_ses-2_task-encoding_run-3_bold,
summary_fg_k,1.0597,sub-28_ses-2_task-encoding_run-4_bold,
summary_fg_k,1.0563,sub-28_ses-2_task-encoding_run-5_bold,
summary_fg_k,1.0337,sub-28_ses-2_task-encoding_run-6_bold,
summary_fg_k,0.9916,sub-28_ses-2_task-encoding_run-7_bold,
summary_fg_k,0.9795,sub-28_ses-2_task-encoding_run-8_bold,
summary_fg_k,0.9968,sub-28_ses-2_task-rest_run-1_bold,
summary_fg_k,0.9914,sub-28_ses-2_task-similarity_run-1_bold,
summary_fg_k,0.9105,sub-28_ses-2_task-similarity_run-2_bold,
summary_fg_p05,16.0,sub-01_ses-1_task-encoding_run-1_bold,
summary_fg_p05,17.0,sub-01_ses-1_task-encoding_run-2_bold,
summary_fg_p05,17.0,sub-01_ses-1_task-encoding_run-3_bold,
summary_fg_p05,17.0,sub-01_ses-1_task-encoding_run-4_bold,
summary_fg_p05,17.0,sub-01_ses-1_task-encoding_run-5_bold,
summary_fg_p05,17.0,sub-01_ses-1_task-encoding_run-6_bold,
summary_fg_p05,16.0,sub-01_ses-1_task-encoding_run-7_bold,
summary_fg_p05,17.0,sub-01_ses-1_task-encoding_run-8_bold,
summary_fg_p05,18.0,sub-01_ses-1_task-rest_run-1_bold,
summary_fg_p05,17.0,sub-01_ses-1_task-similarity_run-1_bold,
summary_fg_p05,18.0,sub-01_ses-1_task-similarity_run-2_bold,
summary_fg_p05,15.0,sub-01_ses-2_task-encoding_run-1_bold,
summary_fg_p05,16.0,sub-01_ses-2_task-encoding_run-2_bold,
summary_fg_p05,16.0,sub-01_ses-2_task-encoding_run-3_bold,
summary_fg_p05,16.0,sub-01_ses-2_task-encoding_run-4_bold,
summary_fg_p05,18.0,sub-01_ses-2_task-encoding_run-5_bold,
summary_fg_p05,17.0,sub-01_ses-2_task-encoding_run-6_bold,
summary_fg_p05,18.0,sub-01_ses-2_task-encoding_run-7_bold,
summary_fg_p05,18.0,sub-01_ses-2_task-encoding_run-8_bold,
summary_fg_p05,19.0,sub-01_ses-2_task-rest_run-1_bold,
summary_fg_p05,18.0,sub-01_ses-2_task-similarity_run-1_bold,
summary_fg_p05,18.0,sub-01_ses-2_task-similarity_run-2_bold,
summary_fg_p05,13.0,sub-02_ses-1_task-encoding_run-1_bold,
summary_fg_p05,13.0,sub-02_ses-1_task-encoding_run-2_bold,
summary_fg_p05,12.0,sub-02_ses-1_task-encoding_run-3_bold,
summary_fg_p05,12.0,sub-02_ses-1_task-encoding_run-4_bold,
summary_fg_p05,13.0,sub-02_ses-1_task-encoding_run-5_bold,
summary_fg_p05,13.0,sub-02_ses-1_task-encoding_run-6_bold,
summary_fg_p05,13.0,sub-02_ses-1_task-encoding_run-7_bold,
summary_fg_p05,13.0,sub-02_ses-1_task-encoding_run-8_bold,
summary_fg_p05,12.0,sub-02_ses-1_task-rest_run-1_bold,
summary_fg_p05,13.0,sub-02_ses-1_task-rest_run-2_bold,
summary_fg_p05,12.0,sub-02_ses-1_task-similarity_run-1_bold,
summary_fg_p05,12.0,sub-02_ses-1_task-similarity_run-2_bold,
summary_fg_p05,11.0,sub-02_ses-2_task-encoding_run-1_bold,
summary_fg_p05,11.0,sub-02_ses-2_task-encoding_run-2_bold,
summary_fg_p05,11.0,sub-02_ses-2_task-encoding_run-3_bold,
summary_fg_p05,11.0,sub-02_ses-2_task-encoding_run-4_bold,
summary_fg_p05,10.0,sub-02_ses-2_task-encoding_run-5_bold,
summary_fg_p05,11.0,sub-02_ses-2_task-encoding_run-6_bold,
summary_fg_p05,11.0,sub-02_ses-2_task-encoding_run-7_bold,
summary_fg_p05,11.0,sub-02_ses-2_task-encoding_run-8_bold,
summary_fg_p05,11.0,sub-02_ses-2_task-rest_run-1_bold,
summary_fg_p05,9.0,sub-02_ses-2_task-similarity_run-1_bold,
summary_fg_p05,9.0,sub-02_ses-2_task-similarity_run-2_bold,
summary_fg_p05,12.0,sub-03_ses-1_task-encoding_run-1_bold,
summary_fg_p05,11.0,sub-03_ses-1_task-encoding_run-2_bold,
summary_fg_p05,12.0,sub-03_ses-1_task-encoding_run-3_bold,
summary_fg_p05,11.0,sub-03_ses-1_task-encoding_run-4_bold,
summary_fg_p05,11.0,sub-03_ses-1_task-encoding_run-5_bold,
summary_fg_p05,12.0,sub-03_ses-1_task-encoding_run-6_bold,
summary_fg_p05,11.0,sub-03_ses-1_task-encoding_run-7_bold,
summary_fg_p05,11.0,sub-03_ses-1_task-encoding_run-8_bold,
summary_fg_p05,11.0,sub-03_ses-1_task-rest_run-1_bold,
summary_fg_p05,11.0,sub-03_ses-1_task-rest_run-2_bold,
summary_fg_p05,11.0,sub-03_ses-1_task-similarity_run-1_bold,
summary_fg_p05,11.0,sub-03_ses-1_task-similarity_run-2_bold,
summary_fg_p05,11.0,sub-03_ses-2_task-encoding_run-1_bold,
summary_fg_p05,11.0,sub-03_ses-2_task-encoding_run-2_bold,
summary_fg_p05,10.0,sub-03_ses-2_task-encoding_run-3_bold,
summary_fg_p05,10.0,sub-03_ses-2_task-encoding_run-4_bold,
summary_fg_p05,11.0,sub-03_ses-2_task-encoding_run-5_bold,
summary_fg_p05,10.0,sub-03_ses-2_task-encoding_run-6_bold,
summary_fg_p05,11.0,sub-03_ses-2_task-encoding_run-7_bold,
summary_fg_p05,10.0,sub-03_ses-2_task-encoding_run-8_bold,
summary_fg_p05,10.0,sub-03_ses-2_task-rest_run-1_bold,
summary_fg_p05,10.0,sub-03_ses-2_task-similarity_run-1_bold,
summary_fg_p05,10.0,sub-03_ses-2_task-similarity_run-2_bold,
summary_fg_p05,13.0,sub-04_ses-1_task-encoding_run-1_bold,
summary_fg_p05,13.0,sub-04_ses-1_task-encoding_run-2_bold,
summary_fg_p05,13.0,sub-04_ses-1_task-encoding_run-3_bold,
summary_fg_p05,13.0,sub-04_ses-1_task-encoding_run-4_bold,
summary_fg_p05,12.0,sub-04_ses-1_task-encoding_run-5_bold,
summary_fg_p05,11.0,sub-04_ses-1_task-encoding_run-6_bold,
summary_fg_p05,12.0,sub-04_ses-1_task-encoding_run-7_bold,
summary_fg_p05,11.0,sub-04_ses-1_task-encoding_run-8_bold,
summary_fg_p05,13.0,sub-04_ses-1_task-rest_run-1_bold,
summary_fg_p05,11.0,sub-04_ses-1_task-rest_run-2_bold,
summary_fg_p05,13.0,sub-04_ses-1_task-similarity_run-1_bold,
summary_fg_p05,12.0,sub-04_ses-1_task-similarity_run-2_bold,
summary_fg_p05,10.0,sub-04_ses-2_task-encoding_run-1_bold,
summary_fg_p05,10.0,sub-04_ses-2_task-encoding_run-2_bold,
summary_fg_p05,10.0,sub-04_ses-2_task-encoding_run-3_bold,
summary_fg_p05,10.0,sub-04_ses-2_task-encoding_run-4_bold,
summary_fg_p05,10.0,sub-04_ses-2_task-encoding_run-5_bold,
summary_fg_p05,9.0,sub-04_ses-2_task-encoding_run-6_bold,
summary_fg_p05,10.0,sub-04_ses-2_task-encoding_run-7_bold,
summary_fg_p05,10.0,sub-04_ses-2_task-encoding_run-8_bold,
summary_fg_p05,10.0,sub-04_ses-2_task-rest_run-1_bold,
summary_fg_p05,10.0,sub-04_ses-2_task-similarity_run-1_bold,
summary_fg_p05,11.0,sub-04_ses-2_task-similarity_run-2_bold,
summary_fg_p05,11.0,sub-06_ses-1_task-encoding_run-1_bold,
summary_fg_p05,10.0,sub-06_ses-1_task-encoding_run-2_bold,
summary_fg_p05,11.0,sub-06_ses-1_task-encoding_run-3_bold,
summary_fg_p05,11.0,sub-06_ses-1_task-encoding_run-4_bold,
summary_fg_p05,12.0,sub-06_ses-1_task-encoding_run-5_bold,
summary_fg_p05,11.0,sub-06_ses-1_task-encoding_run-6_bold,
summary_fg_p05,11.0,sub-06_ses-1_task-encoding_run-7_bold,
summary_fg_p05,11.0,sub-06_ses-1_task-encoding_run-8_bold,
summary_fg_p05,10.0,sub-06_ses-1_task-rest_run-1_bold,
summary_fg_p05,12.0,sub-06_ses-1_task-rest_run-2_bold,
summary_fg_p05,11.0,sub-06_ses-1_task-similarity_run-1_bold,
summary_fg_p05,10.0,sub-06_ses-1_task-similarity_run-2_bold,
summary_fg_p05,10.0,sub-06_ses-2_task-encoding_run-1_bold,
summary_fg_p05,10.0,sub-06_ses-2_task-encoding_run-2_bold,
summary_fg_p05,11.0,sub-06_ses-2_task-encoding_run-3_bold,
summary_fg_p05,11.0,sub-06_ses-2_task-encoding_run-4_bold,
summary_fg_p05,10.0,sub-06_ses-2_task-encoding_run-5_bold,
summary_fg_p05,11.0,sub-06_ses-2_task-encoding_run-6_bold,
summary_fg_p05,11.0,sub-06_ses-2_task-encoding_run-7_bold,
summary_fg_p05,11.0,sub-06_ses-2_task-encoding_run-8_bold,
summary_fg_p05,11.0,sub-06_ses-2_task-rest_run-1_bold,
summary_fg_p05,11.0,sub-06_ses-2_task-similarity_run-1_bold,
summary_fg_p05,12.0,sub-06_ses-2_task-similarity_run-2_bold,
summary_fg_p05,10.0,sub-08_ses-1_task-encoding_run-1_bold,
summary_fg_p05,11.0,sub-08_ses-1_task-encoding_run-2_bold,
summary_fg_p05,10.0,sub-08_ses-1_task-encoding_run-3_bold,
summary_fg_p05,10.0,sub-08_ses-1_task-encoding_run-4_bold,
summary_fg_p05,10.0,sub-08_ses-1_task-encoding_run-5_bold,
summary_fg_p05,11.0,sub-08_ses-1_task-encoding_run-6_bold,
summary_fg_p05,11.0,sub-08_ses-1_task-encoding_run-7_bold,
summary_fg_p05,10.0,sub-08_ses-1_task-encoding_run-8_bold,
summary_fg_p05,10.0,sub-08_ses-1_task-rest_run-1_bold,
summary_fg_p05,10.0,sub-08_ses-1_task-rest_run-2_bold,
summary_fg_p05,11.0,sub-08_ses-1_task-similarity_run-1_bold,
summary_fg_p05,11.0,sub-08_ses-1_task-similarity_run-2_bold,
summary_fg_p05,9.0,sub-08_ses-2_task-encoding_run-1_bold,
summary_fg_p05,10.0,sub-08_ses-2_task-encoding_run-2_bold,
summary_fg_p05,9.0,sub-08_ses-2_task-encoding_run-3_bold,
summary_fg_p05,9.0,sub-08_ses-2_task-encoding_run-4_bold,
summary_fg_p05,9.0,sub-08_ses-2_task-encoding_run-5_bold,
summary_fg_p05,9.0,sub-08_ses-2_task-encoding_run-6_bold,
summary_fg_p05,9.0,sub-08_ses-2_task-encoding_run-7_bold,
summary_fg_p05,9.0,sub-08_ses-2_task-encoding_run-8_bold,
summary_fg_p05,9.0,sub-08_ses-2_task-rest_run-1_bold,
summary_fg_p05,9.0,sub-08_ses-2_task-similarity_run-1_bold,
summary_fg_p05,9.0,sub-08_ses-2_task-similarity_run-2_bold,
summary_fg_p05,15.0,sub-09_ses-1_task-encoding_run-1_bold,
summary_fg_p05,14.0,sub-09_ses-1_task-encoding_run-2_bold,
summary_fg_p05,15.0,sub-09_ses-1_task-encoding_run-3_bold,
summary_fg_p05,14.0,sub-09_ses-1_task-encoding_run-4_bold,
summary_fg_p05,14.0,sub-09_ses-1_task-encoding_run-5_bold,
summary_fg_p05,14.0,sub-09_ses-1_task-encoding_run-6_bold,
summary_fg_p05,14.0,sub-09_ses-1_task-encoding_run-7_bold,
summary_fg_p05,14.0,sub-09_ses-1_task-encoding_run-8_bold,
summary_fg_p05,15.0,sub-09_ses-1_task-rest_run-1_bold,
summary_fg_p05,14.0,sub-09_ses-1_task-rest_run-2_bold,
summary_fg_p05,14.0,sub-09_ses-1_task-similarity_run-1_bold,
summary_fg_p05,14.0,sub-09_ses-1_task-similarity_run-2_bold,
summary_fg_p05,16.0,sub-09_ses-2_task-encoding_run-1_bold,
summary_fg_p05,16.0,sub-09_ses-2_task-encoding_run-2_bold,
summary_fg_p05,16.0,sub-09_ses-2_task-encoding_run-3_bold,
summary_fg_p05,16.0,sub-09_ses-2_task-encoding_run-4_bold,
summary_fg_p05,16.0,sub-09_ses-2_task-encoding_run-5_bold,
summary_fg_p05,16.0,sub-09_ses-2_task-encoding_run-6_bold,
summary_fg_p05,16.0,sub-09_ses-2_task-encoding_run-7_bold,
summary_fg_p05,16.0,sub-09_ses-2_task-encoding_run-8_bold,
summary_fg_p05,17.0,sub-09_ses-2_task-rest_run-1_bold,
summary_fg_p05,17.0,sub-09_ses-2_task-similarity_run-1_bold,
summary_fg_p05,16.0,sub-09_ses-2_task-similarity_run-2_bold,
summary_fg_p05,10.0,sub-10_ses-1_task-encoding_run-1_bold,
summary_fg_p05,11.0,sub-10_ses-1_task-encoding_run-2_bold,
summary_fg_p05,11.0,sub-10_ses-1_task-encoding_run-3_bold,
summary_fg_p05,11.0,sub-10_ses-1_task-encoding_run-4_bold,
summary_fg_p05,11.0,sub-10_ses-1_task-encoding_run-5_bold,
summary_fg_p05,11.0,sub-10_ses-1_task-encoding_run-6_bold,
summary_fg_p05,11.0,sub-10_ses-1_task-encoding_run-7_bold,
summary_fg_p05,11.0,sub-10_ses-1_task-encoding_run-8_bold,
summary_fg_p05,10.0,sub-10_ses-1_task-rest_run-1_bold,
summary_fg_p05,12.0,sub-10_ses-1_task-rest_run-2_bold,
summary_fg_p05,10.0,sub-10_ses-1_task-similarity_run-1_bold,
summary_fg_p05,10.0,sub-10_ses-1_task-similarity_run-2_bold,
summary_fg_p05,11.0,sub-10_ses-2_task-encoding_run-1_bold,
summary_fg_p05,11.0,sub-10_ses-2_task-encoding_run-2_bold,
summary_fg_p05,11.0,sub-10_ses-2_task-encoding_run-3_bold,
summary_fg_p05,11.0,sub-10_ses-2_task-encoding_run-4_bold,
summary_fg_p05,12.0,sub-10_ses-2_task-encoding_run-5_bold,
summary_fg_p05,12.0,sub-10_ses-2_task-encoding_run-6_bold,
summary_fg_p05,12.0,sub-10_ses-2_task-encoding_run-7_bold,
summary_fg_p05,12.0,sub-10_ses-2_task-encoding_run-8_bold,
summary_fg_p05,12.0,sub-10_ses-2_task-rest_run-1_bold,
summary_fg_p05,12.0,sub-10_ses-2_task-similarity_run-1_bold,
summary_fg_p05,12.0,sub-10_ses-2_task-similarity_run-2_bold,
summary_fg_p05,16.0,sub-11_ses-1_task-encoding_run-1_bold,
summary_fg_p05,16.0,sub-11_ses-1_task-encoding_run-2_bold,
summary_fg_p05,16.0,sub-11_ses-1_task-encoding_run-3_bold,
summary_fg_p05,16.0,sub-11_ses-1_task-encoding_run-4_bold,
summary_fg_p05,16.0,sub-11_ses-1_task-encoding_run-5_bold,
summary_fg_p05,16.0,sub-11_ses-1_task-encoding_run-6_bold,
summary_fg_p05,16.0,sub-11_ses-1_task-encoding_run-7_bold,
summary_fg_p05,16.0,sub-11_ses-1_task-encoding_run-8_bold,
summary_fg_p05,15.0,sub-11_ses-1_task-rest_run-1_bold,
summary_fg_p05,16.0,sub-11_ses-1_task-rest_run-2_bold,
summary_fg_p05,16.0,sub-11_ses-1_task-similarity_run-1_bold,
summary_fg_p05,16.0,sub-11_ses-1_task-similarity_run-2_bold,
summary_fg_p05,15.0,sub-11_ses-2_task-encoding_run-1_bold,
summary_fg_p05,15.0,sub-11_ses-2_task-encoding_run-2_bold,
summary_fg_p05,16.0,sub-11_ses-2_task-encoding_run-3_bold,
summary_fg_p05,16.0,sub-11_ses-2_task-encoding_run-4_bold,
summary_fg_p05,16.0,sub-11_ses-2_task-encoding_run-5_bold,
summary_fg_p05,16.0,sub-11_ses-2_task-encoding_run-6_bold,
summary_fg_p05,16.0,sub-11_ses-2_task-encoding_run-7_bold,
summary_fg_p05,17.0,sub-11_ses-2_task-encoding_run-8_bold,
summary_fg_p05,17.0,sub-11_ses-2_task-rest_run-1_bold,
summary_fg_p05,17.0,sub-11_ses-2_task-similarity_run-1_bold,
summary_fg_p05,17.0,sub-11_ses-2_task-similarity_run-2_bold,
summary_fg_p05,13.0,sub-13_ses-1_task-encoding_run-1_bold,
summary_fg_p05,13.0,sub-13_ses-1_task-encoding_run-2_bold,
summary_fg_p05,13.0,sub-13_ses-1_task-encoding_run-3_bold,
summary_fg_p05,13.0,sub-13_ses-1_task-encoding_run-4_bold,
summary_fg_p05,13.0,sub-13_ses-1_task-encoding_run-5_bold,
summary_fg_p05,12.0,sub-13_ses-1_task-encoding_run-6_bold,
summary_fg_p05,13.0,sub-13_ses-1_task-encoding_run-7_bold,
summary_fg_p05,13.0,sub-13_ses-1_task-encoding_run-8_bold,
summary_fg_p05,13.0,sub-13_ses-1_task-rest_run-1_bold,
summary_fg_p05,13.0,sub-13_ses-1_task-rest_run-2_bold,
summary_fg_p05,14.0,sub-13_ses-1_task-similarity_run-1_bold,
summary_fg_p05,13.0,sub-13_ses-1_task-similarity_run-2_bold,
summary_fg_p05,12.0,sub-13_ses-2_task-encoding_run-1_bold,
summary_fg_p05,13.0,sub-13_ses-2_task-encoding_run-2_bold,
summary_fg_p05,13.0,sub-13_ses-2_task-encoding_run-3_bold,
summary_fg_p05,13.0,sub-13_ses-2_task-encoding_run-4_bold,
summary_fg_p05,13.0,sub-13_ses-2_task-encoding_run-5_bold,
summary_fg_p05,13.0,sub-13_ses-2_task-encoding_run-6_bold,
summary_fg_p05,13.0,sub-13_ses-2_task-encoding_run-7_bold,
summary_fg_p05,13.0,sub-13_ses-2_task-encoding_run-8_bold,
summary_fg_p05,13.0,sub-13_ses-2_task-rest_run-1_bold,
summary_fg_p05,13.0,sub-13_ses-2_task-similarity_run-1_bold,
summary_fg_p05,13.0,sub-13_ses-2_task-similarity_run-2_bold,
summary_fg_p05,13.0,sub-14_ses-1_task-encoding_run-1_bold,
summary_fg_p05,12.0,sub-14_ses-1_task-encoding_run-2_bold,
summary_fg_p05,13.0,sub-14_ses-1_task-encoding_run-3_bold,
summary_fg_p05,12.0,sub-14_ses-1_task-encoding_run-4_bold,
summary_fg_p05,13.0,sub-14_ses-1_task-encoding_run-5_bold,
summary_fg_p05,13.0,sub-14_ses-1_task-encoding_run-6_bold,
summary_fg_p05,14.0,sub-14_ses-1_task-encoding_run-7_bold,
summary_fg_p05,14.0,sub-14_ses-1_task-encoding_run-8_bold,
summary_fg_p05,12.0,sub-14_ses-1_task-rest_run-1_bold,
summary_fg_p05,14.0,sub-14_ses-1_task-rest_run-2_bold,
summary_fg_p05,13.0,sub-14_ses-1_task-similarity_run-1_bold,
summary_fg_p05,13.0,sub-14_ses-1_task-similarity_run-2_bold,
summary_fg_p05,15.0,sub-14_ses-2_task-encoding_run-1_bold,
summary_fg_p05,16.0,sub-14_ses-2_task-encoding_run-2_bold,
summary_fg_p05,15.0,sub-14_ses-2_task-encoding_run-3_bold,
summary_fg_p05,16.0,sub-14_ses-2_task-encoding_run-4_bold,
summary_fg_p05,15.0,sub-14_ses-2_task-encoding_run-5_bold,
summary_fg_p05,15.0,sub-14_ses-2_task-encoding_run-6_bold,
summary_fg_p05,15.0,sub-14_ses-2_task-encoding_run-7_bold,
summary_fg_p05,15.0,sub-14_ses-2_task-encoding_run-8_bold,
summary_fg_p05,16.0,sub-14_ses-2_task-rest_run-1_bold,
summary_fg_p05,16.0,sub-14_ses-2_task-similarity_run-1_bold,
summary_fg_p05,16.0,sub-14_ses-2_task-similarity_run-2_bold,
summary_fg_p05,12.0,sub-16_ses-1_task-encoding_run-1_bold,
summary_fg_p05,13.0,sub-16_ses-1_task-encoding_run-2_bold,
summary_fg_p05,12.0,sub-16_ses-1_task-encoding_run-3_bold,
summary_fg_p05,12.0,sub-16_ses-1_task-encoding_run-4_bold,
summary_fg_p05,13.0,sub-16_ses-1_task-encoding_run-5_bold,
summary_fg_p05,13.0,sub-16_ses-1_task-encoding_run-6_bold,
summary_fg_p05,13.0,sub-16_ses-1_task-encoding_run-7_bold,
summary_fg_p05,13.0,sub-16_ses-1_task-encoding_run-8_bold,
summary_fg_p05,13.0,sub-16_ses-1_task-rest_run-1_bold,
summary_fg_p05,13.0,sub-16_ses-1_task-rest_run-2_bold,
summary_fg_p05,12.0,sub-16_ses-1_task-similarity_run-1_bold,
summary_fg_p05,12.0,sub-16_ses-1_task-similarity_run-2_bold,
summary_fg_p05,13.0,sub-16_ses-2_task-encoding_run-1_bold,
summary_fg_p05,13.0,sub-16_ses-2_task-encoding_run-2_bold,
summary_fg_p05,13.0,sub-16_ses-2_task-encoding_run-3_bold,
summary_fg_p05,14.0,sub-16_ses-2_task-encoding_run-4_bold,
summary_fg_p05,15.0,sub-16_ses-2_task-encoding_run-5_bold,
summary_fg_p05,16.0,sub-16_ses-2_task-encoding_run-6_bold,
summary_fg_p05,15.0,sub-16_ses-2_task-encoding_run-7_bold,
summary_fg_p05,15.0,sub-16_ses-2_task-encoding_run-8_bold,
summary_fg_p05,14.0,sub-16_ses-2_task-rest_run-1_bold,
summary_fg_p05,15.0,sub-16_ses-2_task-similarity_run-1_bold,
summary_fg_p05,15.0,sub-16_ses-2_task-similarity_run-2_bold,
summary_fg_p05,13.0,sub-17_ses-1_task-encoding_run-1_bold,
summary_fg_p05,13.0,sub-17_ses-1_task-encoding_run-2_bold,
summary_fg_p05,13.0,sub-17_ses-1_task-encoding_run-3_bold,
summary_fg_p05,12.0,sub-17_ses-1_task-encoding_run-4_bold,
summary_fg_p05,12.0,sub-17_ses-1_task-encoding_run-5_bold,
summary_fg_p05,12.0,sub-17_ses-1_task-encoding_run-6_bold,
summary_fg_p05,13.0,sub-17_ses-1_task-encoding_run-7_bold,
summary_fg_p05,12.0,sub-17_ses-1_task-encoding_run-8_bold,
summary_fg_p05,14.0,sub-17_ses-1_task-rest_run-1_bold,
summary_fg_p05,12.0,sub-17_ses-1_task-rest_run-2_bold,
summary_fg_p05,14.0,sub-17_ses-1_task-similarity_run-1_bold,
summary_fg_p05,14.0,sub-17_ses-1_task-similarity_run-2_bold,
summary_fg_p05,13.0,sub-17_ses-2_task-encoding_run-1_bold,
summary_fg_p05,12.0,sub-17_ses-2_task-encoding_run-2_bold,
summary_fg_p05,11.0,sub-17_ses-2_task-encoding_run-3_bold,
summary_fg_p05,12.0,sub-17_ses-2_task-encoding_run-4_bold,
summary_fg_p05,12.0,sub-17_ses-2_task-encoding_run-5_bold,
summary_fg_p05,13.0,sub-17_ses-2_task-encoding_run-6_bold,
summary_fg_p05,13.0,sub-17_ses-2_task-encoding_run-7_bold,
summary_fg_p05,13.0,sub-17_ses-2_task-encoding_run-8_bold,
summary_fg_p05,13.0,sub-17_ses-2_task-rest_run-1_bold,
summary_fg_p05,12.0,sub-17_ses-2_task-similarity_run-1_bold,
summary_fg_p05,13.0,sub-17_ses-2_task-similarity_run-2_bold,
summary_fg_p05,16.0,sub-18_ses-1_task-encoding_run-1_bold,
summary_fg_p05,16.0,sub-18_ses-1_task-encoding_run-2_bold,
summary_fg_p05,16.0,sub-18_ses-1_task-encoding_run-3_bold,
summary_fg_p05,16.0,sub-18_ses-1_task-encoding_run-4_bold,
summary_fg_p05,17.0,sub-18_ses-1_task-encoding_run-5_bold,
summary_fg_p05,16.0,sub-18_ses-1_task-encoding_run-6_bold,
summary_fg_p05,16.0,sub-18_ses-1_task-encoding_run-7_bold,
summary_fg_p05,16.0,sub-18_ses-1_task-encoding_run-8_bold,
summary_fg_p05,16.0,sub-18_ses-1_task-rest_run-1_bold,
summary_fg_p05,17.0,sub-18_ses-1_task-rest_run-2_bold,
summary_fg_p05,16.0,sub-18_ses-1_task-similarity_run-1_bold,
summary_fg_p05,17.0,sub-18_ses-1_task-similarity_run-2_bold,
summary_fg_p05,16.0,sub-18_ses-2_task-encoding_run-1_bold,
summary_fg_p05,15.0,sub-18_ses-2_task-encoding_run-2_bold,
summary_fg_p05,15.0,sub-18_ses-2_task-encoding_run-3_bold,
summary_fg_p05,15.0,sub-18_ses-2_task-encoding_run-4_bold,
summary_fg_p05,14.0,sub-18_ses-2_task-encoding_run-5_bold,
summary_fg_p05,15.0,sub-18_ses-2_task-encoding_run-6_bold,
summary_fg_p05,15.0,sub-18_ses-2_task-encoding_run-7_bold,
summary_fg_p05,15.0,sub-18_ses-2_task-encoding_run-8_bold,
summary_fg_p05,16.0,sub-18_ses-2_task-rest_run-1_bold,
summary_fg_p05,15.0,sub-18_ses-2_task-similarity_run-1_bold,
summary_fg_p05,15.0,sub-18_ses-2_task-similarity_run-2_bold,
summary_fg_p05,8.0,sub-19_ses-1_task-encoding_run-1_bold,
summary_fg_p05,8.0,sub-19_ses-1_task-encoding_run-2_bold,
summary_fg_p05,8.0,sub-19_ses-1_task-encoding_run-3_bold,
summary_fg_p05,8.0,sub-19_ses-1_task-encoding_run-4_bold,
summary_fg_p05,8.0,sub-19_ses-1_task-encoding_run-5_bold,
summary_fg_p05,8.0,sub-19_ses-1_task-encoding_run-6_bold,
summary_fg_p05,7.0,sub-19_ses-1_task-encoding_run-7_bold,
summary_fg_p05,8.0,sub-19_ses-1_task-encoding_run-8_bold,
summary_fg_p05,7.0,sub-19_ses-1_task-rest_run-1_bold,
summary_fg_p05,7.0,sub-19_ses-1_task-rest_run-2_bold,
summary_fg_p05,8.0,sub-19_ses-1_task-similarity_run-1_bold,
summary_fg_p05,8.0,sub-19_ses-1_task-similarity_run-2_bold,
summary_fg_p05,7.0,sub-19_ses-2_task-encoding_run-1_bold,
summary_fg_p05,7.0,sub-19_ses-2_task-encoding_run-2_bold,
summary_fg_p05,7.0,sub-19_ses-2_task-encoding_run-3_bold,
summary_fg_p05,7.0,sub-19_ses-2_task-encoding_run-4_bold,
summary_fg_p05,7.0,sub-19_ses-2_task-encoding_run-5_bold,
summary_fg_p05,7.0,sub-19_ses-2_task-encoding_run-6_bold,
summary_fg_p05,7.0,sub-19_ses-2_task-encoding_run-7_bold,
summary_fg_p05,6.0,sub-19_ses-2_task-encoding_run-8_bold,
summary_fg_p05,7.0,sub-19_ses-2_task-rest_run-1_bold,
summary_fg_p05,7.0,sub-19_ses-2_task-similarity_run-1_bold,
summary_fg_p05,7.0,sub-19_ses-2_task-similarity_run-2_bold,
summary_fg_p05,14.0,sub-20_ses-1_task-encoding_run-1_bold,
summary_fg_p05,14.0,sub-20_ses-1_task-encoding_run-2_bold,
summary_fg_p05,14.0,sub-20_ses-1_task-encoding_run-3_bold,
summary_fg_p05,14.0,sub-20_ses-1_task-encoding_run-4_bold,
summary_fg_p05,14.0,sub-20_ses-1_task-encoding_run-5_bold,
summary_fg_p05,15.0,sub-20_ses-1_task-encoding_run-6_bold,
summary_fg_p05,15.0,sub-20_ses-1_task-encoding_run-7_bold,
summary_fg_p05,16.0,sub-20_ses-1_task-encoding_run-8_bold,
summary_fg_p05,14.0,sub-20_ses-1_task-rest_run-1_bold,
summary_fg_p05,15.0,sub-20_ses-1_task-rest_run-2_bold,
summary_fg_p05,14.0,sub-20_ses-1_task-similarity_run-1_bold,
summary_fg_p05,14.0,sub-20_ses-1_task-similarity_run-2_bold,
summary_fg_p05,15.0,sub-20_ses-2_task-encoding_run-1_bold,
summary_fg_p05,15.0,sub-20_ses-2_task-encoding_run-2_bold,
summary_fg_p05,15.0,sub-20_ses-2_task-encoding_run-3_bold,
summary_fg_p05,14.0,sub-20_ses-2_task-encoding_run-4_bold,
summary_fg_p05,14.0,sub-20_ses-2_task-encoding_run-5_bold,
summary_fg_p05,14.0,sub-20_ses-2_task-encoding_run-6_bold,
summary_fg_p05,15.0,sub-20_ses-2_task-encoding_run-7_bold,
summary_fg_p05,14.0,sub-20_ses-2_task-encoding_run-8_bold,
summary_fg_p05,14.0,sub-20_ses-2_task-rest_run-1_bold,
summary_fg_p05,15.0,sub-20_ses-2_task-similarity_run-1_bold,
summary_fg_p05,14.0,sub-20_ses-2_task-similarity_run-2_bold,
summary_fg_p05,11.0,sub-25_ses-1_task-encoding_run-1_bold,
summary_fg_p05,12.0,sub-25_ses-1_task-encoding_run-2_bold,
summary_fg_p05,12.0,sub-25_ses-1_task-encoding_run-3_bold,
summary_fg_p05,12.0,sub-25_ses-1_task-encoding_run-4_bold,
summary_fg_p05,12.0,sub-25_ses-1_task-encoding_run-5_bold,
summary_fg_p05,12.0,sub-25_ses-1_task-encoding_run-6_bold,
summary_fg_p05,12.0,sub-25_ses-1_task-encoding_run-7_bold,
summary_fg_p05,12.0,sub-25_ses-1_task-encoding_run-8_bold,
summary_fg_p05,12.0,sub-25_ses-1_task-rest_run-1_bold,
summary_fg_p05,12.0,sub-25_ses-1_task-rest_run-2_bold,
summary_fg_p05,11.0,sub-25_ses-1_task-similarity_run-1_bold,
summary_fg_p05,11.0,sub-25_ses-1_task-similarity_run-2_bold,
summary_fg_p05,11.0,sub-25_ses-2_task-encoding_run-1_bold,
summary_fg_p05,11.0,sub-25_ses-2_task-encoding_run-2_bold,
summary_fg_p05,11.0,sub-25_ses-2_task-encoding_run-3_bold,
summary_fg_p05,11.0,sub-25_ses-2_task-encoding_run-4_bold,
summary_fg_p05,11.0,sub-25_ses-2_task-encoding_run-5_bold,
summary_fg_p05,11.0,sub-25_ses-2_task-encoding_run-6_bold,
summary_fg_p05,11.0,sub-25_ses-2_task-encoding_run-7_bold,
summary_fg_p05,11.0,sub-25_ses-2_task-encoding_run-8_bold,
summary_fg_p05,11.0,sub-25_ses-2_task-rest_run-1_bold,
summary_fg_p05,11.0,sub-25_ses-2_task-similarity_run-1_bold,
summary_fg_p05,11.0,sub-25_ses-2_task-similarity_run-2_bold,
summary_fg_p05,12.0,sub-26_ses-1_task-encoding_run-1_bold,
summary_fg_p05,12.0,sub-26_ses-1_task-encoding_run-2_bold,
summary_fg_p05,12.0,sub-26_ses-1_task-encoding_run-3_bold,
summary_fg_p05,12.0,sub-26_ses-1_task-encoding_run-4_bold,
summary_fg_p05,13.0,sub-26_ses-1_task-encoding_run-5_bold,
summary_fg_p05,12.0,sub-26_ses-1_task-encoding_run-6_bold,
summary_fg_p05,12.0,sub-26_ses-1_task-encoding_run-7_bold,
summary_fg_p05,12.0,sub-26_ses-1_task-encoding_run-8_bold,
summary_fg_p05,12.0,sub-26_ses-1_task-rest_run-1_bold,
summary_fg_p05,12.0,sub-26_ses-1_task-rest_run-2_bold,
summary_fg_p05,12.0,sub-26_ses-1_task-similarity_run-1_bold,
summary_fg_p05,11.0,sub-26_ses-1_task-similarity_run-2_bold,
summary_fg_p05,11.0,sub-26_ses-2_task-encoding_run-1_bold,
summary_fg_p05,12.0,sub-26_ses-2_task-encoding_run-2_bold,
summary_fg_p05,11.0,sub-26_ses-2_task-encoding_run-3_bold,
summary_fg_p05,11.0,sub-26_ses-2_task-encoding_run-4_bold,
summary_fg_p05,11.0,sub-26_ses-2_task-encoding_run-5_bold,
summary_fg_p05,11.0,sub-26_ses-2_task-encoding_run-6_bold,
summary_fg_p05,11.0,sub-26_ses-2_task-encoding_run-7_bold,
summary_fg_p05,11.0,sub-26_ses-2_task-encoding_run-8_bold,
summary_fg_p05,11.0,sub-26_ses-2_task-rest_run-1_bold,
summary_fg_p05,11.0,sub-26_ses-2_task-similarity_run-1_bold,
summary_fg_p05,11.0,sub-26_ses-2_task-similarity_run-2_bold,
summary_fg_p05,12.0,sub-27_ses-1_task-encoding_run-1_bold,
summary_fg_p05,12.0,sub-27_ses-1_task-encoding_run-2_bold,
summary_fg_p05,12.0,sub-27_ses-1_task-encoding_run-3_bold,
summary_fg_p05,12.0,sub-27_ses-1_task-encoding_run-4_bold,
summary_fg_p05,12.0,sub-27_ses-1_task-encoding_run-5_bold,
summary_fg_p05,12.0,sub-27_ses-1_task-encoding_run-6_bold,
summary_fg_p05,13.0,sub-27_ses-1_task-encoding_run-7_bold,
summary_fg_p05,13.0,sub-27_ses-1_task-encoding_run-8_bold,
summary_fg_p05,13.0,sub-27_ses-1_task-rest_run-1_bold,
summary_fg_p05,13.0,sub-27_ses-1_task-rest_run-2_bold,
summary_fg_p05,14.0,sub-27_ses-1_task-similarity_run-1_bold,
summary_fg_p05,13.0,sub-27_ses-1_task-similarity_run-2_bold,
summary_fg_p05,12.0,sub-27_ses-2_task-encoding_run-1_bold,
summary_fg_p05,13.0,sub-27_ses-2_task-encoding_run-2_bold,
summary_fg_p05,14.0,sub-27_ses-2_task-encoding_run-3_bold,
summary_fg_p05,14.0,sub-27_ses-2_task-encoding_run-4_bold,
summary_fg_p05,14.0,sub-27_ses-2_task-encoding_run-5_bold,
summary_fg_p05,14.0,sub-27_ses-2_task-encoding_run-6_bold,
summary_fg_p05,14.0,sub-27_ses-2_task-encoding_run-7_bold,
summary_fg_p05,14.0,sub-27_ses-2_task-encoding_run-8_bold,
summary_fg_p05,13.0,sub-27_ses-2_task-rest_run-1_bold,
summary_fg_p05,14.0,sub-27_ses-2_task-similarity_run-1_bold,
summary_fg_p05,14.0,sub-27_ses-2_task-similarity_run-2_bold,
summary_fg_p05,16.0,sub-28_ses-1_task-encoding_run-1_bold,
summary_fg_p05,16.0,sub-28_ses-1_task-encoding_run-2_bold,
summary_fg_p05,16.0,sub-28_ses-1_task-encoding_run-3_bold,
summary_fg_p05,17.0,sub-28_ses-1_task-encoding_run-4_bold,
summary_fg_p05,16.0,sub-28_ses-1_task-encoding_run-5_bold,
summary_fg_p05,17.0,sub-28_ses-1_task-encoding_run-6_bold,
summary_fg_p05,17.0,sub-28_ses-1_task-encoding_run-7_bold,
summary_fg_p05,17.0,sub-28_ses-1_task-encoding_run-8_bold,
summary_fg_p05,16.0,sub-28_ses-1_task-rest_run-1_bold,
summary_fg_p05,17.0,sub-28_ses-1_task-rest_run-2_bold,
summary_fg_p05,16.0,sub-28_ses-1_task-similarity_run-1_bold,
summary_fg_p05,16.0,sub-28_ses-1_task-similarity_run-2_bold,
summary_fg_p05,13.0,sub-28_ses-2_task-encoding_run-1_bold,
summary_fg_p05,13.0,sub-28_ses-2_task-encoding_run-2_bold,
summary_fg_p05,13.0,sub-28_ses-2_task-encoding_run-3_bold,
summary_fg_p05,13.0,sub-28_ses-2_task-encoding_run-4_bold,
summary_fg_p05,13.0,sub-28_ses-2_task-encoding_run-5_bold,
summary_fg_p05,13.0,sub-28_ses-2_task-encoding_run-6_bold,
summary_fg_p05,13.0,sub-28_ses-2_task-encoding_run-7_bold,
summary_fg_p05,13.0,sub-28_ses-2_task-encoding_run-8_bold,
summary_fg_p05,14.0,sub-28_ses-2_task-rest_run-1_bold,
summary_fg_p05,13.0,sub-28_ses-2_task-similarity_run-1_bold,
summary_fg_p05,13.0,sub-28_ses-2_task-similarity_run-2_bold,
summary_fg_p95,62.0,sub-01_ses-1_task-encoding_run-1_bold,
summary_fg_p95,62.0,sub-01_ses-1_task-encoding_run-2_bold,
summary_fg_p95,62.0,sub-01_ses-1_task-encoding_run-3_bold,
summary_fg_p95,62.0,sub-01_ses-1_task-encoding_run-4_bold,
summary_fg_p95,62.0,sub-01_ses-1_task-encoding_run-5_bold,
summary_fg_p95,62.0,sub-01_ses-1_task-encoding_run-6_bold,
summary_fg_p95,62.0,sub-01_ses-1_task-encoding_run-7_bold,
summary_fg_p95,62.0,sub-01_ses-1_task-encoding_run-8_bold,
summary_fg_p95,62.0,sub-01_ses-1_task-rest_run-1_bold,
summary_fg_p95,61.0,sub-01_ses-1_task-similarity_run-1_bold,
summary_fg_p95,61.0,sub-01_ses-1_task-similarity_run-2_bold,
summary_fg_p95,63.0,sub-01_ses-2_task-encoding_run-1_bold,
summary_fg_p95,64.0,sub-01_ses-2_task-encoding_run-2_bold,
summary_fg_p95,64.0,sub-01_ses-2_task-encoding_run-3_bold,
summary_fg_p95,64.0,sub-01_ses-2_task-encoding_run-4_bold,
summary_fg_p95,64.0,sub-01_ses-2_task-encoding_run-5_bold,
summary_fg_p95,65.0,sub-01_ses-2_task-encoding_run-6_bold,
summary_fg_p95,65.0,sub-01_ses-2_task-encoding_run-7_bold,
summary_fg_p95,65.0,sub-01_ses-2_task-encoding_run-8_bold,
summary_fg_p95,66.0,sub-01_ses-2_task-rest_run-1_bold,
summary_fg_p95,65.0,sub-01_ses-2_task-similarity_run-1_bold,
summary_fg_p95,65.0,sub-01_ses-2_task-similarity_run-2_bold,
summary_fg_p95,57.0,sub-02_ses-1_task-encoding_run-1_bold,
summary_fg_p95,55.0,sub-02_ses-1_task-encoding_run-2_bold,
summary_fg_p95,56.0,sub-02_ses-1_task-encoding_run-3_bold,
summary_fg_p95,56.0,sub-02_ses-1_task-encoding_run-4_bold,
summary_fg_p95,56.0,sub-02_ses-1_task-encoding_run-5_bold,
summary_fg_p95,56.0,sub-02_ses-1_task-encoding_run-6_bold,
summary_fg_p95,56.0,sub-02_ses-1_task-encoding_run-7_bold,
summary_fg_p95,56.0,sub-02_ses-1_task-encoding_run-8_bold,
summary_fg_p95,53.0,sub-02_ses-1_task-rest_run-1_bold,
summary_fg_p95,56.0,sub-02_ses-1_task-rest_run-2_bold,
summary_fg_p95,54.0,sub-02_ses-1_task-similarity_run-1_bold,
summary_fg_p95,55.0,sub-02_ses-1_task-similarity_run-2_bold,
summary_fg_p95,55.0,sub-02_ses-2_task-encoding_run-1_bold,
summary_fg_p95,55.0,sub-02_ses-2_task-encoding_run-2_bold,
summary_fg_p95,55.0,sub-02_ses-2_task-encoding_run-3_bold,
summary_fg_p95,56.0,sub-02_ses-2_task-encoding_run-4_bold,
summary_fg_p95,55.0,sub-02_ses-2_task-encoding_run-5_bold,
summary_fg_p95,56.0,sub-02_ses-2_task-encoding_run-6_bold,
summary_fg_p95,56.0,sub-02_ses-2_task-encoding_run-7_bold,
summary_fg_p95,56.0,sub-02_ses-2_task-encoding_run-8_bold,
summary_fg_p95,56.0,sub-02_ses-2_task-rest_run-1_bold,
summary_fg_p95,55.0,sub-02_ses-2_task-similarity_run-1_bold,
summary_fg_p95,55.0,sub-02_ses-2_task-similarity_run-2_bold,
summary_fg_p95,51.0,sub-03_ses-1_task-encoding_run-1_bold,
summary_fg_p95,50.0,sub-03_ses-1_task-encoding_run-2_bold,
summary_fg_p95,51.0,sub-03_ses-1_task-encoding_run-3_bold,
summary_fg_p95,50.0,sub-03_ses-1_task-encoding_run-4_bold,
summary_fg_p95,51.0,sub-03_ses-1_task-encoding_run-5_bold,
summary_fg_p95,52.0,sub-03_ses-1_task-encoding_run-6_bold,
summary_fg_p95,52.0,sub-03_ses-1_task-encoding_run-7_bold,
summary_fg_p95,51.0,sub-03_ses-1_task-encoding_run-8_bold,
summary_fg_p95,50.0,sub-03_ses-1_task-rest_run-1_bold,
summary_fg_p95,51.0,sub-03_ses-1_task-rest_run-2_bold,
summary_fg_p95,51.0,sub-03_ses-1_task-similarity_run-1_bold,
summary_fg_p95,51.0,sub-03_ses-1_task-similarity_run-2_bold,
summary_fg_p95,50.0,sub-03_ses-2_task-encoding_run-1_bold,
summary_fg_p95,49.0,sub-03_ses-2_task-encoding_run-2_bold,
summary_fg_p95,49.0,sub-03_ses-2_task-encoding_run-3_bold,
summary_fg_p95,49.0,sub-03_ses-2_task-encoding_run-4_bold,
summary_fg_p95,50.0,sub-03_ses-2_task-encoding_run-5_bold,
summary_fg_p95,49.0,sub-03_ses-2_task-encoding_run-6_bold,
summary_fg_p95,49.0,sub-03_ses-2_task-encoding_run-7_bold,
summary_fg_p95,49.0,sub-03_ses-2_task-encoding_run-8_bold,
summary_fg_p95,50.0,sub-03_ses-2_task-rest_run-1_bold,
summary_fg_p95,50.0,sub-03_ses-2_task-similarity_run-1_bold,
summary_fg_p95,49.0,sub-03_ses-2_task-similarity_run-2_bold,
summary_fg_p95,62.0,sub-04_ses-1_task-encoding_run-1_bold,
summary_fg_p95,63.0,sub-04_ses-1_task-encoding_run-2_bold,
summary_fg_p95,62.0,sub-04_ses-1_task-encoding_run-3_bold,
summary_fg_p95,63.0,sub-04_ses-1_task-encoding_run-4_bold,
summary_fg_p95,63.0,sub-04_ses-1_task-encoding_run-5_bold,
summary_fg_p95,63.0,sub-04_ses-1_task-encoding_run-6_bold,
summary_fg_p95,63.0,sub-04_ses-1_task-encoding_run-7_bold,
summary_fg_p95,63.0,sub-04_ses-1_task-encoding_run-8_bold,
summary_fg_p95,61.0,sub-04_ses-1_task-rest_run-1_bold,
summary_fg_p95,63.0,sub-04_ses-1_task-rest_run-2_bold,
summary_fg_p95,61.0,sub-04_ses-1_task-similarity_run-1_bold,
summary_fg_p95,62.0,sub-04_ses-1_task-similarity_run-2_bold,
summary_fg_p95,60.0,sub-04_ses-2_task-encoding_run-1_bold,
summary_fg_p95,60.0,sub-04_ses-2_task-encoding_run-2_bold,
summary_fg_p95,61.0,sub-04_ses-2_task-encoding_run-3_bold,
summary_fg_p95,61.0,sub-04_ses-2_task-encoding_run-4_bold,
summary_fg_p95,60.0,sub-04_ses-2_task-encoding_run-5_bold,
summary_fg_p95,60.0,sub-04_ses-2_task-encoding_run-6_bold,
summary_fg_p95,61.0,sub-04_ses-2_task-encoding_run-7_bold,
summary_fg_p95,62.0,sub-04_ses-2_task-encoding_run-8_bold,
summary_fg_p95,62.0,sub-04_ses-2_task-rest_run-1_bold,
summary_fg_p95,61.0,sub-04_ses-2_task-similarity_run-1_bold,
summary_fg_p95,61.0,sub-04_ses-2_task-similarity_run-2_bold,
summary_fg_p95,57.0,sub-06_ses-1_task-encoding_run-1_bold,
summary_fg_p95,56.0,sub-06_ses-1_task-encoding_run-2_bold,
summary_fg_p95,55.0,sub-06_ses-1_task-encoding_run-3_bold,
summary_fg_p95,56.0,sub-06_ses-1_task-encoding_run-4_bold,
summary_fg_p95,55.0,sub-06_ses-1_task-encoding_run-5_bold,
summary_fg_p95,57.0,sub-06_ses-1_task-encoding_run-6_bold,
summary_fg_p95,57.0,sub-06_ses-1_task-encoding_run-7_bold,
summary_fg_p95,56.0,sub-06_ses-1_task-encoding_run-8_bold,
summary_fg_p95,56.0,sub-06_ses-1_task-rest_run-1_bold,
summary_fg_p95,57.0,sub-06_ses-1_task-rest_run-2_bold,
summary_fg_p95,55.0,sub-06_ses-1_task-similarity_run-1_bold,
summary_fg_p95,55.0,sub-06_ses-1_task-similarity_run-2_bold,
summary_fg_p95,59.0,sub-06_ses-2_task-encoding_run-1_bold,
summary_fg_p95,59.0,sub-06_ses-2_task-encoding_run-2_bold,
summary_fg_p95,59.0,sub-06_ses-2_task-encoding_run-3_bold,
summary_fg_p95,60.0,sub-06_ses-2_task-encoding_run-4_bold,
summary_fg_p95,60.0,sub-06_ses-2_task-encoding_run-5_bold,
summary_fg_p95,60.0,sub-06_ses-2_task-encoding_run-6_bold,
summary_fg_p95,60.0,sub-06_ses-2_task-encoding_run-7_bold,
summary_fg_p95,60.0,sub-06_ses-2_task-encoding_run-8_bold,
summary_fg_p95,61.0,sub-06_ses-2_task-rest_run-1_bold,
summary_fg_p95,62.0,sub-06_ses-2_task-similarity_run-1_bold,
summary_fg_p95,62.0,sub-06_ses-2_task-similarity_run-2_bold,
summary_fg_p95,64.0,sub-08_ses-1_task-encoding_run-1_bold,
summary_fg_p95,65.0,sub-08_ses-1_task-encoding_run-2_bold,
summary_fg_p95,64.0,sub-08_ses-1_task-encoding_run-3_bold,
summary_fg_p95,64.0,sub-08_ses-1_task-encoding_run-4_bold,
summary_fg_p95,64.0,sub-08_ses-1_task-encoding_run-5_bold,
summary_fg_p95,64.0,sub-08_ses-1_task-encoding_run-6_bold,
summary_fg_p95,65.0,sub-08_ses-1_task-encoding_run-7_bold,
summary_fg_p95,65.0,sub-08_ses-1_task-encoding_run-8_bold,
summary_fg_p95,62.0,sub-08_ses-1_task-rest_run-1_bold,
summary_fg_p95,65.0,sub-08_ses-1_task-rest_run-2_bold,
summary_fg_p95,63.0,sub-08_ses-1_task-similarity_run-1_bold,
summary_fg_p95,63.0,sub-08_ses-1_task-similarity_run-2_bold,
summary_fg_p95,61.0,sub-08_ses-2_task-encoding_run-1_bold,
summary_fg_p95,62.0,sub-08_ses-2_task-encoding_run-2_bold,
summary_fg_p95,62.0,sub-08_ses-2_task-encoding_run-3_bold,
summary_fg_p95,62.0,sub-08_ses-2_task-encoding_run-4_bold,
summary_fg_p95,61.0,sub-08_ses-2_task-encoding_run-5_bold,
summary_fg_p95,62.0,sub-08_ses-2_task-encoding_run-6_bold,
summary_fg_p95,62.0,sub-08_ses-2_task-encoding_run-7_bold,
summary_fg_p95,62.0,sub-08_ses-2_task-encoding_run-8_bold,
summary_fg_p95,62.0,sub-08_ses-2_task-rest_run-1_bold,
summary_fg_p95,63.0,sub-08_ses-2_task-similarity_run-1_bold,
summary_fg_p95,63.0,sub-08_ses-2_task-similarity_run-2_bold,
summary_fg_p95,68.0,sub-09_ses-1_task-encoding_run-1_bold,
summary_fg_p95,68.0,sub-09_ses-1_task-encoding_run-2_bold,
summary_fg_p95,67.0,sub-09_ses-1_task-encoding_run-3_bold,
summary_fg_p95,68.0,sub-09_ses-1_task-encoding_run-4_bold,
summary_fg_p95,67.0,sub-09_ses-1_task-encoding_run-5_bold,
summary_fg_p95,68.0,sub-09_ses-1_task-encoding_run-6_bold,
summary_fg_p95,68.0,sub-09_ses-1_task-encoding_run-7_bold,
summary_fg_p95,68.0,sub-09_ses-1_task-encoding_run-8_bold,
summary_fg_p95,67.0,sub-09_ses-1_task-rest_run-1_bold,
summary_fg_p95,68.0,sub-09_ses-1_task-rest_run-2_bold,
summary_fg_p95,68.0,sub-09_ses-1_task-similarity_run-1_bold,
summary_fg_p95,68.0,sub-09_ses-1_task-similarity_run-2_bold,
summary_fg_p95,68.0,sub-09_ses-2_task-encoding_run-1_bold,
summary_fg_p95,67.0,sub-09_ses-2_task-encoding_run-2_bold,
summary_fg_p95,68.0,sub-09_ses-2_task-encoding_run-3_bold,
summary_fg_p95,67.0,sub-09_ses-2_task-encoding_run-4_bold,
summary_fg_p95,67.0,sub-09_ses-2_task-encoding_run-5_bold,
summary_fg_p95,68.0,sub-09_ses-2_task-encoding_run-6_bold,
summary_fg_p95,68.0,sub-09_ses-2_task-encoding_run-7_bold,
summary_fg_p95,68.0,sub-09_ses-2_task-encoding_run-8_bold,
summary_fg_p95,68.0,sub-09_ses-2_task-rest_run-1_bold,
summary_fg_p95,68.0,sub-09_ses-2_task-similarity_run-1_bold,
summary_fg_p95,68.0,sub-09_ses-2_task-similarity_run-2_bold,
summary_fg_p95,67.0,sub-10_ses-1_task-encoding_run-1_bold,
summary_fg_p95,67.0,sub-10_ses-1_task-encoding_run-2_bold,
summary_fg_p95,67.0,sub-10_ses-1_task-encoding_run-3_bold,
summary_fg_p95,67.0,sub-10_ses-1_task-encoding_run-4_bold,
summary_fg_p95,67.0,sub-10_ses-1_task-encoding_run-5_bold,
summary_fg_p95,68.0,sub-10_ses-1_task-encoding_run-6_bold,
summary_fg_p95,68.0,sub-10_ses-1_task-encoding_run-7_bold,
summary_fg_p95,68.0,sub-10_ses-1_task-encoding_run-8_bold,
summary_fg_p95,65.0,sub-10_ses-1_task-rest_run-1_bold,
summary_fg_p95,68.0,sub-10_ses-1_task-rest_run-2_bold,
summary_fg_p95,66.0,sub-10_ses-1_task-similarity_run-1_bold,
summary_fg_p95,67.0,sub-10_ses-1_task-similarity_run-2_bold,
summary_fg_p95,65.0,sub-10_ses-2_task-encoding_run-1_bold,
summary_fg_p95,65.0,sub-10_ses-2_task-encoding_run-2_bold,
summary_fg_p95,65.0,sub-10_ses-2_task-encoding_run-3_bold,
summary_fg_p95,66.0,sub-10_ses-2_task-encoding_run-4_bold,
summary_fg_p95,66.0,sub-10_ses-2_task-encoding_run-5_bold,
summary_fg_p95,66.0,sub-10_ses-2_task-encoding_run-6_bold,
summary_fg_p95,66.0,sub-10_ses-2_task-encoding_run-7_bold,
summary_fg_p95,66.0,sub-10_ses-2_task-encoding_run-8_bold,
summary_fg_p95,66.0,sub-10_ses-2_task-rest_run-1_bold,
summary_fg_p95,66.0,sub-10_ses-2_task-similarity_run-1_bold,
summary_fg_p95,66.0,sub-10_ses-2_task-similarity_run-2_bold,
summary_fg_p95,59.0,sub-11_ses-1_task-encoding_run-1_bold,
summary_fg_p95,59.0,sub-11_ses-1_task-encoding_run-2_bold,
summary_fg_p95,59.0,sub-11_ses-1_task-encoding_run-3_bold,
summary_fg_p95,59.0,sub-11_ses-1_task-encoding_run-4_bold,
summary_fg_p95,60.0,sub-11_ses-1_task-encoding_run-5_bold,
summary_fg_p95,60.0,sub-11_ses-1_task-encoding_run-6_bold,
summary_fg_p95,60.0,sub-11_ses-1_task-encoding_run-7_bold,
summary_fg_p95,60.0,sub-11_ses-1_task-encoding_run-8_bold,
summary_fg_p95,58.0,sub-11_ses-1_task-rest_run-1_bold,
summary_fg_p95,60.0,sub-11_ses-1_task-rest_run-2_bold,
summary_fg_p95,58.0,sub-11_ses-1_task-similarity_run-1_bold,
summary_fg_p95,59.0,sub-11_ses-1_task-similarity_run-2_bold,
summary_fg_p95,56.0,sub-11_ses-2_task-encoding_run-1_bold,
summary_fg_p95,57.0,sub-11_ses-2_task-encoding_run-2_bold,
summary_fg_p95,57.0,sub-11_ses-2_task-encoding_run-3_bold,
summary_fg_p95,57.0,sub-11_ses-2_task-encoding_run-4_bold,
summary_fg_p95,58.0,sub-11_ses-2_task-encoding_run-5_bold,
summary_fg_p95,58.0,sub-11_ses-2_task-encoding_run-6_bold,
summary_fg_p95,58.0,sub-11_ses-2_task-encoding_run-7_bold,
summary_fg_p95,57.0,sub-11_ses-2_task-encoding_run-8_bold,
summary_fg_p95,58.0,sub-11_ses-2_task-rest_run-1_bold,
summary_fg_p95,58.0,sub-11_ses-2_task-similarity_run-1_bold,
summary_fg_p95,59.0,sub-11_ses-2_task-similarity_run-2_bold,
summary_fg_p95,65.0,sub-13_ses-1_task-encoding_run-1_bold,
summary_fg_p95,65.0,sub-13_ses-1_task-encoding_run-2_bold,
summary_fg_p95,65.0,sub-13_ses-1_task-encoding_run-3_bold,
summary_fg_p95,65.0,sub-13_ses-1_task-encoding_run-4_bold,
summary_fg_p95,65.0,sub-13_ses-1_task-encoding_run-5_bold,
summary_fg_p95,65.0,sub-13_ses-1_task-encoding_run-6_bold,
summary_fg_p95,66.0,sub-13_ses-1_task-encoding_run-7_bold,
summary_fg_p95,65.0,sub-13_ses-1_task-encoding_run-8_bold,
summary_fg_p95,64.0,sub-13_ses-1_task-rest_run-1_bold,
summary_fg_p95,66.0,sub-13_ses-1_task-rest_run-2_bold,
summary_fg_p95,65.0,sub-13_ses-1_task-similarity_run-1_bold,
summary_fg_p95,65.0,sub-13_ses-1_task-similarity_run-2_bold,
summary_fg_p95,65.0,sub-13_ses-2_task-encoding_run-1_bold,
summary_fg_p95,66.0,sub-13_ses-2_task-encoding_run-2_bold,
summary_fg_p95,65.0,sub-13_ses-2_task-encoding_run-3_bold,
summary_fg_p95,66.0,sub-13_ses-2_task-encoding_run-4_bold,
summary_fg_p95,66.0,sub-13_ses-2_task-encoding_run-5_bold,
summary_fg_p95,66.0,sub-13_ses-2_task-encoding_run-6_bold,
summary_fg_p95,66.0,sub-13_ses-2_task-encoding_run-7_bold,
summary_fg_p95,66.0,sub-13_ses-2_task-encoding_run-8_bold,
summary_fg_p95,66.0,sub-13_ses-2_task-rest_run-1_bold,
summary_fg_p95,66.0,sub-13_ses-2_task-similarity_run-1_bold,
summary_fg_p95,67.0,sub-13_ses-2_task-similarity_run-2_bold,
summary_fg_p95,65.0,sub-14_ses-1_task-encoding_run-1_bold,
summary_fg_p95,65.0,sub-14_ses-1_task-encoding_run-2_bold,
summary_fg_p95,65.0,sub-14_ses-1_task-encoding_run-3_bold,
summary_fg_p95,65.0,sub-14_ses-1_task-encoding_run-4_bold,
summary_fg_p95,65.0,sub-14_ses-1_task-encoding_run-5_bold,
summary_fg_p95,65.0,sub-14_ses-1_task-encoding_run-6_bold,
summary_fg_p95,66.0,sub-14_ses-1_task-encoding_run-7_bold,
summary_fg_p95,66.0,sub-14_ses-1_task-encoding_run-8_bold,
summary_fg_p95,64.0,sub-14_ses-1_task-rest_run-1_bold,
summary_fg_p95,66.0,sub-14_ses-1_task-rest_run-2_bold,
summary_fg_p95,65.0,sub-14_ses-1_task-similarity_run-1_bold,
summary_fg_p95,65.0,sub-14_ses-1_task-similarity_run-2_bold,
summary_fg_p95,64.0,sub-14_ses-2_task-encoding_run-1_bold,
summary_fg_p95,64.0,sub-14_ses-2_task-encoding_run-2_bold,
summary_fg_p95,64.0,sub-14_ses-2_task-encoding_run-3_bold,
summary_fg_p95,65.0,sub-14_ses-2_task-encoding_run-4_bold,
summary_fg_p95,65.0,sub-14_ses-2_task-encoding_run-5_bold,
summary_fg_p95,65.0,sub-14_ses-2_task-encoding_run-6_bold,
summary_fg_p95,65.0,sub-14_ses-2_task-encoding_run-7_bold,
summary_fg_p95,65.0,sub-14_ses-2_task-encoding_run-8_bold,
summary_fg_p95,65.0,sub-14_ses-2_task-rest_run-1_bold,
summary_fg_p95,65.0,sub-14_ses-2_task-similarity_run-1_bold,
summary_fg_p95,65.0,sub-14_ses-2_task-similarity_run-2_bold,
summary_fg_p95,68.0,sub-16_ses-1_task-encoding_run-1_bold,
summary_fg_p95,68.0,sub-16_ses-1_task-encoding_run-2_bold,
summary_fg_p95,68.0,sub-16_ses-1_task-encoding_run-3_bold,
summary_fg_p95,68.0,sub-16_ses-1_task-encoding_run-4_bold,
summary_fg_p95,69.0,sub-16_ses-1_task-encoding_run-5_bold,
summary_fg_p95,69.0,sub-16_ses-1_task-encoding_run-6_bold,
summary_fg_p95,69.0,sub-16_ses-1_task-encoding_run-7_bold,
summary_fg_p95,69.0,sub-16_ses-1_task-encoding_run-8_bold,
summary_fg_p95,66.0,sub-16_ses-1_task-rest_run-1_bold,
summary_fg_p95,69.0,sub-16_ses-1_task-rest_run-2_bold,
summary_fg_p95,66.0,sub-16_ses-1_task-similarity_run-1_bold,
summary_fg_p95,67.0,sub-16_ses-1_task-similarity_run-2_bold,
summary_fg_p95,66.0,sub-16_ses-2_task-encoding_run-1_bold,
summary_fg_p95,66.0,sub-16_ses-2_task-encoding_run-2_bold,
summary_fg_p95,66.0,sub-16_ses-2_task-encoding_run-3_bold,
summary_fg_p95,67.0,sub-16_ses-2_task-encoding_run-4_bold,
summary_fg_p95,67.0,sub-16_ses-2_task-encoding_run-5_bold,
summary_fg_p95,68.0,sub-16_ses-2_task-encoding_run-6_bold,
summary_fg_p95,68.0,sub-16_ses-2_task-encoding_run-7_bold,
summary_fg_p95,68.0,sub-16_ses-2_task-encoding_run-8_bold,
summary_fg_p95,68.0,sub-16_ses-2_task-rest_run-1_bold,
summary_fg_p95,67.0,sub-16_ses-2_task-similarity_run-1_bold,
summary_fg_p95,68.0,sub-16_ses-2_task-similarity_run-2_bold,
summary_fg_p95,60.0,sub-17_ses-1_task-encoding_run-1_bold,
summary_fg_p95,60.0,sub-17_ses-1_task-encoding_run-2_bold,
summary_fg_p95,61.0,sub-17_ses-1_task-encoding_run-3_bold,
summary_fg_p95,60.0,sub-17_ses-1_task-encoding_run-4_bold,
summary_fg_p95,60.0,sub-17_ses-1_task-encoding_run-5_bold,
summary_fg_p95,61.0,sub-17_ses-1_task-encoding_run-6_bold,
summary_fg_p95,61.0,sub-17_ses-1_task-encoding_run-7_bold,
summary_fg_p95,61.0,sub-17_ses-1_task-encoding_run-8_bold,
summary_fg_p95,57.0,sub-17_ses-1_task-rest_run-1_bold,
summary_fg_p95,61.0,sub-17_ses-1_task-rest_run-2_bold,
summary_fg_p95,59.0,sub-17_ses-1_task-similarity_run-1_bold,
summary_fg_p95,59.0,sub-17_ses-1_task-similarity_run-2_bold,
summary_fg_p95,60.0,sub-17_ses-2_task-encoding_run-1_bold,
summary_fg_p95,61.0,sub-17_ses-2_task-encoding_run-2_bold,
summary_fg_p95,61.0,sub-17_ses-2_task-encoding_run-3_bold,
summary_fg_p95,61.0,sub-17_ses-2_task-encoding_run-4_bold,
summary_fg_p95,61.0,sub-17_ses-2_task-encoding_run-5_bold,
summary_fg_p95,62.0,sub-17_ses-2_task-encoding_run-6_bold,
summary_fg_p95,62.0,sub-17_ses-2_task-encoding_run-7_bold,
summary_fg_p95,62.0,sub-17_ses-2_task-encoding_run-8_bold,
summary_fg_p95,62.0,sub-17_ses-2_task-rest_run-1_bold,
summary_fg_p95,62.0,sub-17_ses-2_task-similarity_run-1_bold,
summary_fg_p95,62.0,sub-17_ses-2_task-similarity_run-2_bold,
summary_fg_p95,68.0,sub-18_ses-1_task-encoding_run-1_bold,
summary_fg_p95,68.0,sub-18_ses-1_task-encoding_run-2_bold,
summary_fg_p95,68.0,sub-18_ses-1_task-encoding_run-3_bold,
summary_fg_p95,68.0,sub-18_ses-1_task-encoding_run-4_bold,
summary_fg_p95,69.0,sub-18_ses-1_task-encoding_run-5_bold,
summary_fg_p95,69.0,sub-18_ses-1_task-encoding_run-6_bold,
summary_fg_p95,69.0,sub-18_ses-1_task-encoding_run-7_bold,
summary_fg_p95,69.0,sub-18_ses-1_task-encoding_run-8_bold,
summary_fg_p95,66.0,sub-18_ses-1_task-rest_run-1_bold,
summary_fg_p95,69.0,sub-18_ses-1_task-rest_run-2_bold,
summary_fg_p95,67.0,sub-18_ses-1_task-similarity_run-1_bold,
summary_fg_p95,67.0,sub-18_ses-1_task-similarity_run-2_bold,
summary_fg_p95,67.0,sub-18_ses-2_task-encoding_run-1_bold,
summary_fg_p95,67.0,sub-18_ses-2_task-encoding_run-2_bold,
summary_fg_p95,67.0,sub-18_ses-2_task-encoding_run-3_bold,
summary_fg_p95,67.0,sub-18_ses-2_task-encoding_run-4_bold,
summary_fg_p95,68.0,sub-18_ses-2_task-encoding_run-5_bold,
summary_fg_p95,69.0,sub-18_ses-2_task-encoding_run-6_bold,
summary_fg_p95,69.0,sub-18_ses-2_task-encoding_run-7_bold,
summary_fg_p95,68.0,sub-18_ses-2_task-encoding_run-8_bold,
summary_fg_p95,69.0,sub-18_ses-2_task-rest_run-1_bold,
summary_fg_p95,68.0,sub-18_ses-2_task-similarity_run-1_bold,
summary_fg_p95,69.0,sub-18_ses-2_task-similarity_run-2_bold,
summary_fg_p95,60.0,sub-19_ses-1_task-encoding_run-1_bold,
summary_fg_p95,60.0,sub-19_ses-1_task-encoding_run-2_bold,
summary_fg_p95,60.0,sub-19_ses-1_task-encoding_run-3_bold,
summary_fg_p95,60.0,sub-19_ses-1_task-encoding_run-4_bold,
summary_fg_p95,60.0,sub-19_ses-1_task-encoding_run-5_bold,
summary_fg_p95,60.0,sub-19_ses-1_task-encoding_run-6_bold,
summary_fg_p95,60.0,sub-19_ses-1_task-encoding_run-7_bold,
summary_fg_p95,61.0,sub-19_ses-1_task-encoding_run-8_bold,
summary_fg_p95,59.0,sub-19_ses-1_task-rest_run-1_bold,
summary_fg_p95,61.0,sub-19_ses-1_task-rest_run-2_bold,
summary_fg_p95,59.0,sub-19_ses-1_task-similarity_run-1_bold,
summary_fg_p95,59.0,sub-19_ses-1_task-similarity_run-2_bold,
summary_fg_p95,59.0,sub-19_ses-2_task-encoding_run-1_bold,
summary_fg_p95,60.0,sub-19_ses-2_task-encoding_run-2_bold,
summary_fg_p95,60.0,sub-19_ses-2_task-encoding_run-3_bold,
summary_fg_p95,61.0,sub-19_ses-2_task-encoding_run-4_bold,
summary_fg_p95,61.0,sub-19_ses-2_task-encoding_run-5_bold,
summary_fg_p95,61.0,sub-19_ses-2_task-encoding_run-6_bold,
summary_fg_p95,61.0,sub-19_ses-2_task-encoding_run-7_bold,
summary_fg_p95,61.0,sub-19_ses-2_task-encoding_run-8_bold,
summary_fg_p95,61.0,sub-19_ses-2_task-rest_run-1_bold,
summary_fg_p95,62.0,sub-19_ses-2_task-similarity_run-1_bold,
summary_fg_p95,61.0,sub-19_ses-2_task-similarity_run-2_bold,
summary_fg_p95,68.0,sub-20_ses-1_task-encoding_run-1_bold,
summary_fg_p95,67.0,sub-20_ses-1_task-encoding_run-2_bold,
summary_fg_p95,67.0,sub-20_ses-1_task-encoding_run-3_bold,
summary_fg_p95,68.0,sub-20_ses-1_task-encoding_run-4_bold,
summary_fg_p95,67.0,sub-20_ses-1_task-encoding_run-5_bold,
summary_fg_p95,68.0,sub-20_ses-1_task-encoding_run-6_bold,
summary_fg_p95,68.0,sub-20_ses-1_task-encoding_run-7_bold,
summary_fg_p95,68.0,sub-20_ses-1_task-encoding_run-8_bold,
summary_fg_p95,66.0,sub-20_ses-1_task-rest_run-1_bold,
summary_fg_p95,68.0,sub-20_ses-1_task-rest_run-2_bold,
summary_fg_p95,66.0,sub-20_ses-1_task-similarity_run-1_bold,
summary_fg_p95,67.0,sub-20_ses-1_task-similarity_run-2_bold,
summary_fg_p95,66.0,sub-20_ses-2_task-encoding_run-1_bold,
summary_fg_p95,67.0,sub-20_ses-2_task-encoding_run-2_bold,
summary_fg_p95,67.0,sub-20_ses-2_task-encoding_run-3_bold,
summary_fg_p95,67.0,sub-20_ses-2_task-encoding_run-4_bold,
summary_fg_p95,67.0,sub-20_ses-2_task-encoding_run-5_bold,
summary_fg_p95,68.0,sub-20_ses-2_task-encoding_run-6_bold,
summary_fg_p95,68.0,sub-20_ses-2_task-encoding_run-7_bold,
summary_fg_p95,68.0,sub-20_ses-2_task-encoding_run-8_bold,
summary_fg_p95,69.0,sub-20_ses-2_task-rest_run-1_bold,
summary_fg_p95,68.0,sub-20_ses-2_task-similarity_run-1_bold,
summary_fg_p95,68.0,sub-20_ses-2_task-similarity_run-2_bold,
summary_fg_p95,61.0,sub-25_ses-1_task-encoding_run-1_bold,
summary_fg_p95,60.0,sub-25_ses-1_task-encoding_run-2_bold,
summary_fg_p95,61.0,sub-25_ses-1_task-encoding_run-3_bold,
summary_fg_p95,61.0,sub-25_ses-1_task-encoding_run-4_bold,
summary_fg_p95,62.0,sub-25_ses-1_task-encoding_run-5_bold,
summary_fg_p95,62.0,sub-25_ses-1_task-encoding_run-6_bold,
summary_fg_p95,62.0,sub-25_ses-1_task-encoding_run-7_bold,
summary_fg_p95,62.0,sub-25_ses-1_task-encoding_run-8_bold,
summary_fg_p95,62.0,sub-25_ses-1_task-rest_run-1_bold,
summary_fg_p95,62.0,sub-25_ses-1_task-rest_run-2_bold,
summary_fg_p95,62.0,sub-25_ses-1_task-similarity_run-1_bold,
summary_fg_p95,60.0,sub-25_ses-1_task-similarity_run-2_bold,
summary_fg_p95,60.0,sub-25_ses-2_task-encoding_run-1_bold,
summary_fg_p95,61.0,sub-25_ses-2_task-encoding_run-2_bold,
summary_fg_p95,61.0,sub-25_ses-2_task-encoding_run-3_bold,
summary_fg_p95,61.0,sub-25_ses-2_task-encoding_run-4_bold,
summary_fg_p95,61.0,sub-25_ses-2_task-encoding_run-5_bold,
summary_fg_p95,61.0,sub-25_ses-2_task-encoding_run-6_bold,
summary_fg_p95,61.0,sub-25_ses-2_task-encoding_run-7_bold,
summary_fg_p95,61.0,sub-25_ses-2_task-encoding_run-8_bold,
summary_fg_p95,61.0,sub-25_ses-2_task-rest_run-1_bold,
summary_fg_p95,61.0,sub-25_ses-2_task-similarity_run-1_bold,
summary_fg_p95,61.0,sub-25_ses-2_task-similarity_run-2_bold,
summary_fg_p95,66.0,sub-26_ses-1_task-encoding_run-1_bold,
summary_fg_p95,66.0,sub-26_ses-1_task-encoding_run-2_bold,
summary_fg_p95,66.0,sub-26_ses-1_task-encoding_run-3_bold,
summary_fg_p95,67.0,sub-26_ses-1_task-encoding_run-4_bold,
summary_fg_p95,67.0,sub-26_ses-1_task-encoding_run-5_bold,
summary_fg_p95,67.0,sub-26_ses-1_task-encoding_run-6_bold,
summary_fg_p95,67.0,sub-26_ses-1_task-encoding_run-7_bold,
summary_fg_p95,67.0,sub-26_ses-1_task-encoding_run-8_bold,
summary_fg_p95,65.0,sub-26_ses-1_task-rest_run-1_bold,
summary_fg_p95,67.0,sub-26_ses-1_task-rest_run-2_bold,
summary_fg_p95,65.0,sub-26_ses-1_task-similarity_run-1_bold,
summary_fg_p95,66.0,sub-26_ses-1_task-similarity_run-2_bold,
summary_fg_p95,65.0,sub-26_ses-2_task-encoding_run-1_bold,
summary_fg_p95,66.0,sub-26_ses-2_task-encoding_run-2_bold,
summary_fg_p95,65.0,sub-26_ses-2_task-encoding_run-3_bold,
summary_fg_p95,66.0,sub-26_ses-2_task-encoding_run-4_bold,
summary_fg_p95,66.0,sub-26_ses-2_task-encoding_run-5_bold,
summary_fg_p95,66.0,sub-26_ses-2_task-encoding_run-6_bold,
summary_fg_p95,67.0,sub-26_ses-2_task-encoding_run-7_bold,
summary_fg_p95,67.0,sub-26_ses-2_task-encoding_run-8_bold,
summary_fg_p95,67.0,sub-26_ses-2_task-rest_run-1_bold,
summary_fg_p95,66.0,sub-26_ses-2_task-similarity_run-1_bold,
summary_fg_p95,66.0,sub-26_ses-2_task-similarity_run-2_bold,
summary_fg_p95,58.0,sub-27_ses-1_task-encoding_run-1_bold,
summary_fg_p95,58.0,sub-27_ses-1_task-encoding_run-2_bold,
summary_fg_p95,58.0,sub-27_ses-1_task-encoding_run-3_bold,
summary_fg_p95,59.0,sub-27_ses-1_task-encoding_run-4_bold,
summary_fg_p95,58.0,sub-27_ses-1_task-encoding_run-5_bold,
summary_fg_p95,58.0,sub-27_ses-1_task-encoding_run-6_bold,
summary_fg_p95,59.0,sub-27_ses-1_task-encoding_run-7_bold,
summary_fg_p95,58.0,sub-27_ses-1_task-encoding_run-8_bold,
summary_fg_p95,57.0,sub-27_ses-1_task-rest_run-1_bold,
summary_fg_p95,59.0,sub-27_ses-1_task-rest_run-2_bold,
summary_fg_p95,57.0,sub-27_ses-1_task-similarity_run-1_bold,
summary_fg_p95,57.0,sub-27_ses-1_task-similarity_run-2_bold,
summary_fg_p95,56.0,sub-27_ses-2_task-encoding_run-1_bold,
summary_fg_p95,56.0,sub-27_ses-2_task-encoding_run-2_bold,
summary_fg_p95,57.0,sub-27_ses-2_task-encoding_run-3_bold,
summary_fg_p95,58.0,sub-27_ses-2_task-encoding_run-4_bold,
summary_fg_p95,57.0,sub-27_ses-2_task-encoding_run-5_bold,
summary_fg_p95,57.0,sub-27_ses-2_task-encoding_run-6_bold,
summary_fg_p95,58.0,sub-27_ses-2_task-encoding_run-7_bold,
summary_fg_p95,58.0,sub-27_ses-2_task-encoding_run-8_bold,
summary_fg_p95,58.0,sub-27_ses-2_task-rest_run-1_bold,
summary_fg_p95,58.0,sub-27_ses-2_task-similarity_run-1_bold,
summary_fg_p95,58.0,sub-27_ses-2_task-similarity_run-2_bold,
summary_fg_p95,65.0,sub-28_ses-1_task-encoding_run-1_bold,
summary_fg_p95,65.0,sub-28_ses-1_task-encoding_run-2_bold,
summary_fg_p95,65.0,sub-28_ses-1_task-encoding_run-3_bold,
summary_fg_p95,65.0,sub-28_ses-1_task-encoding_run-4_bold,
summary_fg_p95,65.0,sub-28_ses-1_task-encoding_run-5_bold,
summary_fg_p95,66.0,sub-28_ses-1_task-encoding_run-6_bold,
summary_fg_p95,66.0,sub-28_ses-1_task-encoding_run-7_bold,
summary_fg_p95,66.0,sub-28_ses-1_task-encoding_run-8_bold,
summary_fg_p95,63.0,sub-28_ses-1_task-rest_run-1_bold,
summary_fg_p95,66.0,sub-28_ses-1_task-rest_run-2_bold,
summary_fg_p95,64.0,sub-28_ses-1_task-similarity_run-1_bold,
summary_fg_p95,65.0,sub-28_ses-1_task-similarity_run-2_bold,
summary_fg_p95,66.0,sub-28_ses-2_task-encoding_run-1_bold,
summary_fg_p95,67.0,sub-28_ses-2_task-encoding_run-2_bold,
summary_fg_p95,67.0,sub-28_ses-2_task-encoding_run-3_bold,
summary_fg_p95,67.0,sub-28_ses-2_task-encoding_run-4_bold,
summary_fg_p95,67.0,sub-28_ses-2_task-encoding_run-5_bold,
summary_fg_p95,68.0,sub-28_ses-2_task-encoding_run-6_bold,
summary_fg_p95,68.0,sub-28_ses-2_task-encoding_run-7_bold,
summary_fg_p95,69.0,sub-28_ses-2_task-encoding_run-8_bold,
summary_fg_p95,68.0,sub-28_ses-2_task-rest_run-1_bold,
summary_fg_p95,68.0,sub-28_ses-2_task-similarity_run-1_bold,
summary_fg_p95,68.0,sub-28_ses-2_task-similarity_run-2_bold,
</pre>


<script type="text/javascript">
    var chart1;
    function add(a, b) {
        return a + b;
    };

    function plotData(group) {
        data = d3.csv.parse(d3.select("#data-csv" + group).text(), function(d) {
            return {
                iqm: d.iqm,
                value: +d.value,
                label: d.label,
                units: d.units
            }
        });

        var a = {};
        var nIQMs = 0;
        data.forEach(function(d) {
            if(!a.hasOwnProperty(d.iqm)){
                a[d.iqm] = 1
                nIQMs += 1
            }

        });
        if (data.length > 0) {
            chart1 = makeDistroChart({
                data: data,
                xName: 'iqm',
                yName: 'value',
                selector: "#chart-group" + group,
                chartSize: {height: 300, width: 100 + 60 * nIQMs},
                constrainExtremes: false,
                modality: 'bold'
            });
            chart1.renderDataPlots();
            chart1.dataPlots.change({
                showPlot: true,
                plotType: 20,
                padding: 20,
                showBeanLines: false
            });
            chart1.renderBoxPlot();
            chart1.boxPlots.show({
                showWhiskers: true,
                showOutliers: false,
                boxWidth: 15,
                lineWidth: 15,
                padding: -10,
                colors: ['#555']
            });

            // chart1.renderNotchBoxes({showNotchBox:false});
            // chart1.renderViolinPlot({showViolinPlot:false});
            // chart1.violinPlots.show({reset:true,clamp:0});
            // chart1.dataPlots.show({showPlot:false,showBeanLines:true, colors:['#555']})

            //chart1.notchBoxes.hide();
            //chart1.boxPlots.hide();
        }
    }

    plotData(0);
    plotData(1);
    plotData(2);
    plotData(3);
    plotData(4);
    plotData(5);
    plotData(6);
    plotData(7);
    plotData(8);
    plotData(9);
    plotData(10);
    plotData(11);
    plotData(12);
    plotData(13);
    plotData(14);
    plotData(15);
    plotData(16);
</script>
</body>
</html><script>{let postHeight = () => {window.parent.postMessage({frameHeight: document.documentElement.offsetHeight || document.documentElement.scrollHeight}, '*')}; window.addEventListener('load', postHeight); window.addEventListener('message', (event) => {if (event.source === window.parent && event.data.requestOffsetHeight) postHeight()});}</script>