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<!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 {
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    width: 100%;
}
.chart-wrapper .outer-box {
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    top: 0;
    bottom: 0;
    left: 0;
    right: 0;
}
.chart-wrapper .inner-box {
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    height: 100%;
}

.chart-wrapper text {
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  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 {
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    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 {
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}

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

@media (max-width:500px){
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}

/*Violin Plot*/

.chart-wrapper .violin-plot .area {
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    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;}
}
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    <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, 03:29.</li>
<li>MRIQC version: 24.1.0.dev0+gd5b13cb5.d20240826.</li>
</ul>
<div class="chart-wrapper" id="chart-group0"></div>
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</pre>
<div class="chart-wrapper" id="chart-group1"></div>
<pre class="csvdata" id="data-csv1" style="display: none">
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fber,15342.5547,sub-32_task-ArchiLocalizer_run-01_bold,
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fber,16160.6084,sub-32_task-WordReading_run-01_bold,
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fber,15842.9883,sub-32_task-WordReading_run-03_bold,
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fber,7274.8071,sub-33_task-ArchiLocalizer_run-01_bold,
fber,7520.0308,sub-33_task-StatisticalLearning_run-01_bold,
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fber,8463.9961,sub-38_task-WordReading_run-01_bold,
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fber,5907.4619,sub-42_task-WordReading_run-01_bold,
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fber,5686.4946,sub-42_task-WordReading_run-03_bold,
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</pre>
<div class="chart-wrapper" id="chart-group2"></div>
<pre class="csvdata" id="data-csv2" style="display: none">
iqm,value,label,units
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fwhm_x,3.2333,sub-06_task-WordReading_run-05_bold,mm
fwhm_x,2.938535,sub-07_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,2.9418,sub-07_task-StatisticalLearning_run-01_bold,mm
fwhm_x,2.932355,sub-07_task-StatisticalLearning_run-02_bold,mm
fwhm_x,2.99262,sub-07_task-StatisticalLearning_run-03_bold,mm
fwhm_x,2.917595,sub-07_task-WordReading_run-01_bold,mm
fwhm_x,2.874665,sub-07_task-WordReading_run-02_bold,mm
fwhm_x,2.90351,sub-07_task-WordReading_run-03_bold,mm
fwhm_x,2.945925,sub-07_task-WordReading_run-04_bold,mm
fwhm_x,2.97007,sub-07_task-WordReading_run-05_bold,mm
fwhm_x,3.56395,sub-08_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.6258,sub-08_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.60619,sub-08_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.576865,sub-08_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.790555,sub-08_task-WordReading_run-01_bold,mm
fwhm_x,3.818115,sub-08_task-WordReading_run-02_bold,mm
fwhm_x,3.7244,sub-08_task-WordReading_run-03_bold,mm
fwhm_x,3.639375,sub-08_task-WordReading_run-04_bold,mm
fwhm_x,3.60836,sub-08_task-WordReading_run-05_bold,mm
fwhm_x,3.35124,sub-09_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.5476,sub-09_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.46442,sub-09_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.481315,sub-09_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.504415,sub-09_task-WordReading_run-01_bold,mm
fwhm_x,3.367645,sub-09_task-WordReading_run-02_bold,mm
fwhm_x,3.357985,sub-09_task-WordReading_run-03_bold,mm
fwhm_x,3.43834,sub-09_task-WordReading_run-04_bold,mm
fwhm_x,3.457625,sub-09_task-WordReading_run-05_bold,mm
fwhm_x,2.99459,sub-10_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.033785,sub-10_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.112025,sub-10_task-StatisticalLearning_run-02_bold,mm
fwhm_x,2.94757,sub-10_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.180735,sub-10_task-WordReading_run-01_bold,mm
fwhm_x,3.570605,sub-10_task-WordReading_run-02_bold,mm
fwhm_x,3.431775,sub-10_task-WordReading_run-03_bold,mm
fwhm_x,3.147585,sub-10_task-WordReading_run-04_bold,mm
fwhm_x,3.016315,sub-10_task-WordReading_run-05_bold,mm
fwhm_x,2.9085,sub-11_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,2.99039,sub-11_task-StatisticalLearning_run-01_bold,mm
fwhm_x,2.99808,sub-11_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.37141,sub-11_task-StatisticalLearning_run-03_bold,mm
fwhm_x,2.998815,sub-11_task-WordReading_run-01_bold,mm
fwhm_x,2.986075,sub-11_task-WordReading_run-02_bold,mm
fwhm_x,3.14257,sub-11_task-WordReading_run-03_bold,mm
fwhm_x,3.163875,sub-11_task-WordReading_run-04_bold,mm
fwhm_x,3.01794,sub-11_task-WordReading_run-05_bold,mm
fwhm_x,2.830725,sub-12_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,2.9642,sub-12_task-StatisticalLearning_run-01_bold,mm
fwhm_x,2.89389,sub-12_task-StatisticalLearning_run-02_bold,mm
fwhm_x,2.8721,sub-12_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.058195,sub-12_task-WordReading_run-01_bold,mm
fwhm_x,3.011905,sub-12_task-WordReading_run-02_bold,mm
fwhm_x,3.01124,sub-12_task-WordReading_run-03_bold,mm
fwhm_x,2.94013,sub-12_task-WordReading_run-04_bold,mm
fwhm_x,2.90811,sub-12_task-WordReading_run-05_bold,mm
fwhm_x,3.0015,sub-13_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.073475,sub-13_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.02554,sub-13_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.00454,sub-13_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.04542,sub-13_task-WordReading_run-01_bold,mm
fwhm_x,3.05224,sub-13_task-WordReading_run-02_bold,mm
fwhm_x,3.041705,sub-13_task-WordReading_run-03_bold,mm
fwhm_x,3.03305,sub-13_task-WordReading_run-04_bold,mm
fwhm_x,3.023925,sub-13_task-WordReading_run-05_bold,mm
fwhm_x,3.343405,sub-14_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.36056,sub-14_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.341805,sub-14_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.364645,sub-14_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.38637,sub-14_task-WordReading_run-01_bold,mm
fwhm_x,3.350215,sub-14_task-WordReading_run-02_bold,mm
fwhm_x,3.31512,sub-14_task-WordReading_run-03_bold,mm
fwhm_x,3.364285,sub-14_task-WordReading_run-04_bold,mm
fwhm_x,3.31067,sub-14_task-WordReading_run-05_bold,mm
fwhm_x,3.188325,sub-15_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.330565,sub-15_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.255055,sub-15_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.313255,sub-15_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.240295,sub-15_task-WordReading_run-01_bold,mm
fwhm_x,3.18724,sub-15_task-WordReading_run-02_bold,mm
fwhm_x,3.277425,sub-15_task-WordReading_run-03_bold,mm
fwhm_x,3.22524,sub-15_task-WordReading_run-04_bold,mm
fwhm_x,3.31333,sub-15_task-WordReading_run-05_bold,mm
fwhm_x,3.140715,sub-16_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.152265,sub-16_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.142545,sub-16_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.12727,sub-16_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.171335,sub-16_task-WordReading_run-01_bold,mm
fwhm_x,3.14534,sub-16_task-WordReading_run-02_bold,mm
fwhm_x,3.140315,sub-16_task-WordReading_run-03_bold,mm
fwhm_x,3.26045,sub-16_task-WordReading_run-04_bold,mm
fwhm_x,3.16531,sub-16_task-WordReading_run-05_bold,mm
fwhm_x,3.418945,sub-17_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.49825,sub-17_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.42084,sub-17_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.411735,sub-17_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.384955,sub-17_task-WordReading_run-01_bold,mm
fwhm_x,3.38822,sub-17_task-WordReading_run-02_bold,mm
fwhm_x,3.35282,sub-17_task-WordReading_run-03_bold,mm
fwhm_x,3.38874,sub-17_task-WordReading_run-04_bold,mm
fwhm_x,3.40596,sub-17_task-WordReading_run-05_bold,mm
fwhm_x,3.20414,sub-18_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.3083,sub-18_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.26676,sub-18_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.272305,sub-18_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.25569,sub-18_task-WordReading_run-01_bold,mm
fwhm_x,3.26215,sub-18_task-WordReading_run-02_bold,mm
fwhm_x,3.25933,sub-18_task-WordReading_run-03_bold,mm
fwhm_x,3.25544,sub-18_task-WordReading_run-04_bold,mm
fwhm_x,3.240825,sub-18_task-WordReading_run-05_bold,mm
fwhm_x,3.410185,sub-19_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.371965,sub-19_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.40072,sub-19_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.39289,sub-19_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.26341,sub-19_task-WordReading_run-01_bold,mm
fwhm_x,3.320155,sub-19_task-WordReading_run-02_bold,mm
fwhm_x,3.388495,sub-19_task-WordReading_run-03_bold,mm
fwhm_x,3.35179,sub-19_task-WordReading_run-04_bold,mm
fwhm_x,3.35317,sub-19_task-WordReading_run-05_bold,mm
fwhm_x,3.510765,sub-20_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.506695,sub-20_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.50311,sub-20_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.46803,sub-20_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.367285,sub-20_task-WordReading_run-01_bold,mm
fwhm_x,3.4052,sub-20_task-WordReading_run-02_bold,mm
fwhm_x,3.456155,sub-20_task-WordReading_run-03_bold,mm
fwhm_x,3.4384,sub-20_task-WordReading_run-04_bold,mm
fwhm_x,3.47053,sub-20_task-WordReading_run-05_bold,mm
fwhm_x,3.17154,sub-21_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.043925,sub-21_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.200085,sub-21_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.118075,sub-21_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.11643,sub-21_task-WordReading_run-01_bold,mm
fwhm_x,3.11101,sub-21_task-WordReading_run-02_bold,mm
fwhm_x,3.13662,sub-21_task-WordReading_run-03_bold,mm
fwhm_x,3.13831,sub-21_task-WordReading_run-04_bold,mm
fwhm_x,3.10627,sub-21_task-WordReading_run-05_bold,mm
fwhm_x,3.43364,sub-22_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.423465,sub-22_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.410595,sub-22_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.41156,sub-22_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.39438,sub-22_task-WordReading_run-01_bold,mm
fwhm_x,3.38308,sub-22_task-WordReading_run-02_bold,mm
fwhm_x,3.396305,sub-22_task-WordReading_run-03_bold,mm
fwhm_x,3.41709,sub-22_task-WordReading_run-04_bold,mm
fwhm_x,3.395305,sub-22_task-WordReading_run-05_bold,mm
fwhm_x,3.40814,sub-23_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.386505,sub-23_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.34327,sub-23_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.35911,sub-23_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.35724,sub-23_task-WordReading_run-01_bold,mm
fwhm_x,3.328285,sub-23_task-WordReading_run-02_bold,mm
fwhm_x,3.257385,sub-23_task-WordReading_run-03_bold,mm
fwhm_x,3.335825,sub-23_task-WordReading_run-04_bold,mm
fwhm_x,3.304325,sub-23_task-WordReading_run-05_bold,mm
fwhm_x,3.716565,sub-24_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.694475,sub-24_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.69313,sub-24_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.68504,sub-24_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.706105,sub-24_task-WordReading_run-01_bold,mm
fwhm_x,3.655675,sub-24_task-WordReading_run-02_bold,mm
fwhm_x,3.68081,sub-24_task-WordReading_run-03_bold,mm
fwhm_x,3.669305,sub-24_task-WordReading_run-04_bold,mm
fwhm_x,3.66574,sub-24_task-WordReading_run-05_bold,mm
fwhm_x,3.61892,sub-25_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.67363,sub-25_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.684835,sub-25_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.64133,sub-25_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.69785,sub-25_task-WordReading_run-01_bold,mm
fwhm_x,3.63306,sub-25_task-WordReading_run-02_bold,mm
fwhm_x,3.63819,sub-25_task-WordReading_run-03_bold,mm
fwhm_x,3.62943,sub-25_task-WordReading_run-04_bold,mm
fwhm_x,3.611425,sub-25_task-WordReading_run-05_bold,mm
fwhm_x,3.21917,sub-26_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.19716,sub-26_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.24255,sub-26_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.241575,sub-26_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.245275,sub-26_task-WordReading_run-01_bold,mm
fwhm_x,3.28257,sub-26_task-WordReading_run-02_bold,mm
fwhm_x,3.27588,sub-26_task-WordReading_run-03_bold,mm
fwhm_x,3.309815,sub-26_task-WordReading_run-04_bold,mm
fwhm_x,3.2076,sub-26_task-WordReading_run-05_bold,mm
fwhm_x,3.20594,sub-27_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.239975,sub-27_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.202255,sub-27_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.18949,sub-27_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.251155,sub-27_task-WordReading_run-01_bold,mm
fwhm_x,3.198805,sub-27_task-WordReading_run-02_bold,mm
fwhm_x,3.205535,sub-27_task-WordReading_run-03_bold,mm
fwhm_x,3.197595,sub-27_task-WordReading_run-04_bold,mm
fwhm_x,3.173905,sub-27_task-WordReading_run-05_bold,mm
fwhm_x,3.235325,sub-28_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.436755,sub-28_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.36233,sub-28_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.42181,sub-28_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.327405,sub-28_task-WordReading_run-01_bold,mm
fwhm_x,3.33744,sub-28_task-WordReading_run-02_bold,mm
fwhm_x,3.32652,sub-28_task-WordReading_run-03_bold,mm
fwhm_x,3.23211,sub-28_task-WordReading_run-04_bold,mm
fwhm_x,3.2517,sub-28_task-WordReading_run-05_bold,mm
fwhm_x,3.06542,sub-29_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.14013,sub-29_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.110965,sub-29_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.068935,sub-29_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.053285,sub-29_task-WordReading_run-01_bold,mm
fwhm_x,3.042195,sub-29_task-WordReading_run-02_bold,mm
fwhm_x,3.02549,sub-29_task-WordReading_run-03_bold,mm
fwhm_x,3.038835,sub-29_task-WordReading_run-04_bold,mm
fwhm_x,3.042185,sub-29_task-WordReading_run-05_bold,mm
fwhm_x,3.565845,sub-30_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.50006,sub-30_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.596095,sub-30_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.59945,sub-30_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.51029,sub-30_task-WordReading_run-01_bold,mm
fwhm_x,3.489205,sub-30_task-WordReading_run-02_bold,mm
fwhm_x,3.441715,sub-30_task-WordReading_run-03_bold,mm
fwhm_x,3.454565,sub-30_task-WordReading_run-04_bold,mm
fwhm_x,3.491275,sub-30_task-WordReading_run-05_bold,mm
fwhm_x,3.8282,sub-31_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.94165,sub-31_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.995095,sub-31_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.90648,sub-31_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.795065,sub-31_task-WordReading_run-01_bold,mm
fwhm_x,3.80267,sub-31_task-WordReading_run-02_bold,mm
fwhm_x,3.74331,sub-31_task-WordReading_run-03_bold,mm
fwhm_x,3.804155,sub-31_task-WordReading_run-04_bold,mm
fwhm_x,3.901255,sub-31_task-WordReading_run-05_bold,mm
fwhm_x,2.876845,sub-32_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.080165,sub-32_task-StatisticalLearning_run-01_bold,mm
fwhm_x,2.851665,sub-32_task-StatisticalLearning_run-02_bold,mm
fwhm_x,2.85502,sub-32_task-StatisticalLearning_run-03_bold,mm
fwhm_x,2.892055,sub-32_task-WordReading_run-01_bold,mm
fwhm_x,2.98944,sub-32_task-WordReading_run-02_bold,mm
fwhm_x,2.902535,sub-32_task-WordReading_run-03_bold,mm
fwhm_x,2.931715,sub-32_task-WordReading_run-04_bold,mm
fwhm_x,2.946615,sub-32_task-WordReading_run-05_bold,mm
fwhm_x,3.314,sub-33_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.32053,sub-33_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.341265,sub-33_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.318355,sub-33_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.412225,sub-33_task-WordReading_run-01_bold,mm
fwhm_x,3.314555,sub-33_task-WordReading_run-02_bold,mm
fwhm_x,3.3758,sub-33_task-WordReading_run-03_bold,mm
fwhm_x,3.305495,sub-33_task-WordReading_run-04_bold,mm
fwhm_x,3.311535,sub-33_task-WordReading_run-05_bold,mm
fwhm_x,3.42797,sub-34_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.39011,sub-34_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.344015,sub-34_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.36667,sub-34_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.45881,sub-34_task-WordReading_run-01_bold,mm
fwhm_x,3.43124,sub-34_task-WordReading_run-02_bold,mm
fwhm_x,3.34966,sub-34_task-WordReading_run-03_bold,mm
fwhm_x,3.492425,sub-34_task-WordReading_run-04_bold,mm
fwhm_x,3.42798,sub-34_task-WordReading_run-05_bold,mm
fwhm_x,3.82322,sub-35_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.957135,sub-35_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.91141,sub-35_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.87257,sub-35_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.944955,sub-35_task-WordReading_run-01_bold,mm
fwhm_x,3.87114,sub-35_task-WordReading_run-02_bold,mm
fwhm_x,3.8628,sub-35_task-WordReading_run-03_bold,mm
fwhm_x,3.843245,sub-35_task-WordReading_run-04_bold,mm
fwhm_x,3.894905,sub-35_task-WordReading_run-05_bold,mm
fwhm_x,3.34957,sub-36_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.44843,sub-36_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.421395,sub-36_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.47285,sub-36_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.5695,sub-36_task-WordReading_run-01_bold,mm
fwhm_x,3.451895,sub-36_task-WordReading_run-02_bold,mm
fwhm_x,3.43333,sub-36_task-WordReading_run-03_bold,mm
fwhm_x,3.376915,sub-36_task-WordReading_run-04_bold,mm
fwhm_x,3.41761,sub-36_task-WordReading_run-05_bold,mm
fwhm_x,3.00548,sub-37_task-ArchiLocalizer_run-01_bold,mm
fwhm_x,3.093375,sub-37_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.036775,sub-37_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.06416,sub-37_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.085345,sub-37_task-WordReading_run-01_bold,mm
fwhm_x,3.06582,sub-37_task-WordReading_run-02_bold,mm
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fwhm_x,3.59748,sub-38_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.373185,sub-38_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.474385,sub-38_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.309305,sub-38_task-WordReading_run-01_bold,mm
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fwhm_x,3.689385,sub-39_task-StatisticalLearning_run-01_bold,mm
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fwhm_x,3.2578,sub-39_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.341575,sub-39_task-WordReading_run-01_bold,mm
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fwhm_x,3.105735,sub-40_task-StatisticalLearning_run-01_bold,mm
fwhm_x,2.998435,sub-40_task-StatisticalLearning_run-02_bold,mm
fwhm_x,2.949465,sub-40_task-StatisticalLearning_run-03_bold,mm
fwhm_x,2.864795,sub-40_task-WordReading_run-01_bold,mm
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fwhm_x,3.45419,sub-41_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.225405,sub-41_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.218205,sub-41_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.28776,sub-41_task-WordReading_run-01_bold,mm
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fwhm_x,3.347345,sub-42_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.304025,sub-42_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.31246,sub-42_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.31638,sub-42_task-WordReading_run-01_bold,mm
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fwhm_x,3.2521,sub-43_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.31095,sub-43_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.294575,sub-43_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.11245,sub-43_task-WordReading_run-01_bold,mm
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fwhm_x,3.22265,sub-44_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.16928,sub-44_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.113315,sub-44_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.104065,sub-44_task-WordReading_run-01_bold,mm
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fwhm_x,2.78446,sub-45_task-StatisticalLearning_run-01_bold,mm
fwhm_x,2.866065,sub-45_task-StatisticalLearning_run-02_bold,mm
fwhm_x,2.76646,sub-45_task-StatisticalLearning_run-03_bold,mm
fwhm_x,2.897455,sub-45_task-WordReading_run-01_bold,mm
fwhm_x,2.79105,sub-45_task-WordReading_run-02_bold,mm
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fwhm_x,2.782725,sub-45_task-WordReading_run-04_bold,mm
fwhm_x,2.755885,sub-45_task-WordReading_run-05_bold,mm
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fwhm_x,3.42805,sub-46_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.323795,sub-46_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.309635,sub-46_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.3012,sub-46_task-WordReading_run-01_bold,mm
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fwhm_x,3.363045,sub-47_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.25541,sub-47_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.597425,sub-47_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.14582,sub-47_task-WordReading_run-01_bold,mm
fwhm_x,3.64154,sub-47_task-WordReading_run-02_bold,mm
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fwhm_x,3.69059,sub-47_task-WordReading_run-05_bold,mm
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fwhm_x,3.470165,sub-48_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.489065,sub-48_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.463985,sub-48_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.417235,sub-48_task-WordReading_run-01_bold,mm
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fwhm_x,3.610935,sub-48_task-WordReading_run-05_bold,mm
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fwhm_x,3.71849,sub-50_task-StatisticalLearning_run-01_bold,mm
fwhm_x,3.660285,sub-50_task-StatisticalLearning_run-02_bold,mm
fwhm_x,3.67712,sub-50_task-StatisticalLearning_run-03_bold,mm
fwhm_x,3.670385,sub-50_task-WordReading_run-01_bold,mm
fwhm_x,3.654325,sub-50_task-WordReading_run-02_bold,mm
fwhm_x,3.692675,sub-50_task-WordReading_run-03_bold,mm
fwhm_x,3.72453,sub-50_task-WordReading_run-04_bold,mm
fwhm_x,3.803155,sub-50_task-WordReading_run-05_bold,mm
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fwhm_y,3.730055,sub-01_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.677655,sub-01_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.66624,sub-01_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.635465,sub-01_task-WordReading_run-01_bold,mm
fwhm_y,3.637285,sub-01_task-WordReading_run-02_bold,mm
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fwhm_y,3.607815,sub-01_task-WordReading_run-05_bold,mm
fwhm_y,3.618105,sub-02_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.587925,sub-02_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.56306,sub-02_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.565015,sub-02_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.56259,sub-02_task-WordReading_run-01_bold,mm
fwhm_y,3.548675,sub-02_task-WordReading_run-02_bold,mm
fwhm_y,3.559075,sub-02_task-WordReading_run-03_bold,mm
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fwhm_y,3.602415,sub-02_task-WordReading_run-05_bold,mm
fwhm_y,3.64651,sub-03_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.73372,sub-03_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.686765,sub-03_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.64624,sub-03_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.844295,sub-03_task-WordReading_run-01_bold,mm
fwhm_y,3.68602,sub-03_task-WordReading_run-02_bold,mm
fwhm_y,3.727065,sub-03_task-WordReading_run-03_bold,mm
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fwhm_y,3.65651,sub-03_task-WordReading_run-05_bold,mm
fwhm_y,3.89143,sub-04_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.7417,sub-04_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.81063,sub-04_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.82265,sub-04_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.70862,sub-04_task-WordReading_run-01_bold,mm
fwhm_y,3.738125,sub-04_task-WordReading_run-02_bold,mm
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fwhm_y,3.51013,sub-05_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.442845,sub-05_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.37546,sub-05_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.604445,sub-05_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.665865,sub-05_task-WordReading_run-01_bold,mm
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fwhm_y,3.77863,sub-06_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.706765,sub-06_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.48882,sub-06_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.59825,sub-06_task-WordReading_run-01_bold,mm
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fwhm_y,3.264485,sub-07_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.24472,sub-07_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.29647,sub-07_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.241375,sub-07_task-WordReading_run-01_bold,mm
fwhm_y,3.19839,sub-07_task-WordReading_run-02_bold,mm
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fwhm_y,3.284475,sub-07_task-WordReading_run-04_bold,mm
fwhm_y,3.29067,sub-07_task-WordReading_run-05_bold,mm
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fwhm_y,3.75175,sub-08_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.68243,sub-08_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.654085,sub-08_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.927595,sub-08_task-WordReading_run-01_bold,mm
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fwhm_y,3.707525,sub-08_task-WordReading_run-04_bold,mm
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fwhm_y,3.79315,sub-09_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.733395,sub-09_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.758815,sub-09_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.69008,sub-09_task-WordReading_run-01_bold,mm
fwhm_y,3.578535,sub-09_task-WordReading_run-02_bold,mm
fwhm_y,3.565085,sub-09_task-WordReading_run-03_bold,mm
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fwhm_y,3.661755,sub-09_task-WordReading_run-05_bold,mm
fwhm_y,3.523485,sub-10_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.50598,sub-10_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.62861,sub-10_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.405915,sub-10_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.67143,sub-10_task-WordReading_run-01_bold,mm
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fwhm_y,3.92782,sub-10_task-WordReading_run-03_bold,mm
fwhm_y,3.69907,sub-10_task-WordReading_run-04_bold,mm
fwhm_y,3.482405,sub-10_task-WordReading_run-05_bold,mm
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fwhm_y,3.30571,sub-11_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.298955,sub-11_task-StatisticalLearning_run-02_bold,mm
fwhm_y,4.031405,sub-11_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.30192,sub-11_task-WordReading_run-01_bold,mm
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fwhm_y,3.22851,sub-12_task-StatisticalLearning_run-01_bold,mm
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fwhm_y,3.41032,sub-12_task-WordReading_run-01_bold,mm
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fwhm_y,3.57325,sub-13_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.453085,sub-13_task-StatisticalLearning_run-02_bold,mm
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fwhm_y,3.48118,sub-13_task-WordReading_run-01_bold,mm
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fwhm_y,3.70658,sub-14_task-StatisticalLearning_run-01_bold,mm
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fwhm_y,3.727285,sub-14_task-WordReading_run-01_bold,mm
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fwhm_y,3.610155,sub-19_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.68831,sub-19_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.65651,sub-19_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.51757,sub-19_task-WordReading_run-01_bold,mm
fwhm_y,3.576185,sub-19_task-WordReading_run-02_bold,mm
fwhm_y,3.63797,sub-19_task-WordReading_run-03_bold,mm
fwhm_y,3.5895,sub-19_task-WordReading_run-04_bold,mm
fwhm_y,3.58955,sub-19_task-WordReading_run-05_bold,mm
fwhm_y,3.837855,sub-20_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.813425,sub-20_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.781085,sub-20_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.775325,sub-20_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.68957,sub-20_task-WordReading_run-01_bold,mm
fwhm_y,3.69982,sub-20_task-WordReading_run-02_bold,mm
fwhm_y,3.748025,sub-20_task-WordReading_run-03_bold,mm
fwhm_y,3.733665,sub-20_task-WordReading_run-04_bold,mm
fwhm_y,3.77557,sub-20_task-WordReading_run-05_bold,mm
fwhm_y,3.33892,sub-21_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.19357,sub-21_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.33921,sub-21_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.241425,sub-21_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.29463,sub-21_task-WordReading_run-01_bold,mm
fwhm_y,3.25063,sub-21_task-WordReading_run-02_bold,mm
fwhm_y,3.279745,sub-21_task-WordReading_run-03_bold,mm
fwhm_y,3.27272,sub-21_task-WordReading_run-04_bold,mm
fwhm_y,3.243355,sub-21_task-WordReading_run-05_bold,mm
fwhm_y,3.70998,sub-22_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.69183,sub-22_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.65125,sub-22_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.66614,sub-22_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.66285,sub-22_task-WordReading_run-01_bold,mm
fwhm_y,3.63965,sub-22_task-WordReading_run-02_bold,mm
fwhm_y,3.644655,sub-22_task-WordReading_run-03_bold,mm
fwhm_y,3.671605,sub-22_task-WordReading_run-04_bold,mm
fwhm_y,3.65147,sub-22_task-WordReading_run-05_bold,mm
fwhm_y,3.77214,sub-23_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.78535,sub-23_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.73181,sub-23_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.73006,sub-23_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.76129,sub-23_task-WordReading_run-01_bold,mm
fwhm_y,3.721265,sub-23_task-WordReading_run-02_bold,mm
fwhm_y,3.64984,sub-23_task-WordReading_run-03_bold,mm
fwhm_y,3.718045,sub-23_task-WordReading_run-04_bold,mm
fwhm_y,3.69136,sub-23_task-WordReading_run-05_bold,mm
fwhm_y,3.561325,sub-24_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.547425,sub-24_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.539735,sub-24_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.542645,sub-24_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.59495,sub-24_task-WordReading_run-01_bold,mm
fwhm_y,3.519405,sub-24_task-WordReading_run-02_bold,mm
fwhm_y,3.53493,sub-24_task-WordReading_run-03_bold,mm
fwhm_y,3.541135,sub-24_task-WordReading_run-04_bold,mm
fwhm_y,3.52052,sub-24_task-WordReading_run-05_bold,mm
fwhm_y,3.717825,sub-25_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.76216,sub-25_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.776605,sub-25_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.72676,sub-25_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.7917,sub-25_task-WordReading_run-01_bold,mm
fwhm_y,3.725955,sub-25_task-WordReading_run-02_bold,mm
fwhm_y,3.74211,sub-25_task-WordReading_run-03_bold,mm
fwhm_y,3.710255,sub-25_task-WordReading_run-04_bold,mm
fwhm_y,3.71506,sub-25_task-WordReading_run-05_bold,mm
fwhm_y,3.52728,sub-26_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.498155,sub-26_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.552285,sub-26_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.552935,sub-26_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.513405,sub-26_task-WordReading_run-01_bold,mm
fwhm_y,3.54181,sub-26_task-WordReading_run-02_bold,mm
fwhm_y,3.576065,sub-26_task-WordReading_run-03_bold,mm
fwhm_y,3.659125,sub-26_task-WordReading_run-04_bold,mm
fwhm_y,3.50395,sub-26_task-WordReading_run-05_bold,mm
fwhm_y,3.497175,sub-27_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.532815,sub-27_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.51611,sub-27_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.46797,sub-27_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.576465,sub-27_task-WordReading_run-01_bold,mm
fwhm_y,3.51488,sub-27_task-WordReading_run-02_bold,mm
fwhm_y,3.52477,sub-27_task-WordReading_run-03_bold,mm
fwhm_y,3.50797,sub-27_task-WordReading_run-04_bold,mm
fwhm_y,3.49456,sub-27_task-WordReading_run-05_bold,mm
fwhm_y,3.75434,sub-28_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.927845,sub-28_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.877865,sub-28_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.996345,sub-28_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.854975,sub-28_task-WordReading_run-01_bold,mm
fwhm_y,3.84835,sub-28_task-WordReading_run-02_bold,mm
fwhm_y,3.83935,sub-28_task-WordReading_run-03_bold,mm
fwhm_y,3.748255,sub-28_task-WordReading_run-04_bold,mm
fwhm_y,3.7769,sub-28_task-WordReading_run-05_bold,mm
fwhm_y,3.29837,sub-29_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.45309,sub-29_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.328415,sub-29_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.291815,sub-29_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.30419,sub-29_task-WordReading_run-01_bold,mm
fwhm_y,3.273485,sub-29_task-WordReading_run-02_bold,mm
fwhm_y,3.262775,sub-29_task-WordReading_run-03_bold,mm
fwhm_y,3.272835,sub-29_task-WordReading_run-04_bold,mm
fwhm_y,3.28497,sub-29_task-WordReading_run-05_bold,mm
fwhm_y,3.89713,sub-30_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.771855,sub-30_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.89577,sub-30_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.88403,sub-30_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.82962,sub-30_task-WordReading_run-01_bold,mm
fwhm_y,3.842415,sub-30_task-WordReading_run-02_bold,mm
fwhm_y,3.760195,sub-30_task-WordReading_run-03_bold,mm
fwhm_y,3.75976,sub-30_task-WordReading_run-04_bold,mm
fwhm_y,3.8366,sub-30_task-WordReading_run-05_bold,mm
fwhm_y,3.8244,sub-31_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.939975,sub-31_task-StatisticalLearning_run-01_bold,mm
fwhm_y,4.022915,sub-31_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.92762,sub-31_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.843435,sub-31_task-WordReading_run-01_bold,mm
fwhm_y,3.850735,sub-31_task-WordReading_run-02_bold,mm
fwhm_y,3.718335,sub-31_task-WordReading_run-03_bold,mm
fwhm_y,3.785265,sub-31_task-WordReading_run-04_bold,mm
fwhm_y,3.98782,sub-31_task-WordReading_run-05_bold,mm
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fwhm_y,3.500855,sub-32_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.310435,sub-32_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.296165,sub-32_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.368445,sub-32_task-WordReading_run-01_bold,mm
fwhm_y,3.416485,sub-32_task-WordReading_run-02_bold,mm
fwhm_y,3.356315,sub-32_task-WordReading_run-03_bold,mm
fwhm_y,3.34993,sub-32_task-WordReading_run-04_bold,mm
fwhm_y,3.374265,sub-32_task-WordReading_run-05_bold,mm
fwhm_y,3.554,sub-33_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.53171,sub-33_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.61211,sub-33_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.54492,sub-33_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.65844,sub-33_task-WordReading_run-01_bold,mm
fwhm_y,3.529595,sub-33_task-WordReading_run-02_bold,mm
fwhm_y,3.63009,sub-33_task-WordReading_run-03_bold,mm
fwhm_y,3.562065,sub-33_task-WordReading_run-04_bold,mm
fwhm_y,3.577975,sub-33_task-WordReading_run-05_bold,mm
fwhm_y,3.750175,sub-34_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.69196,sub-34_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.64508,sub-34_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.688375,sub-34_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.757485,sub-34_task-WordReading_run-01_bold,mm
fwhm_y,3.73256,sub-34_task-WordReading_run-02_bold,mm
fwhm_y,3.640695,sub-34_task-WordReading_run-03_bold,mm
fwhm_y,3.785755,sub-34_task-WordReading_run-04_bold,mm
fwhm_y,3.69292,sub-34_task-WordReading_run-05_bold,mm
fwhm_y,3.958375,sub-35_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,4.12167,sub-35_task-StatisticalLearning_run-01_bold,mm
fwhm_y,4.061405,sub-35_task-StatisticalLearning_run-02_bold,mm
fwhm_y,4.03693,sub-35_task-StatisticalLearning_run-03_bold,mm
fwhm_y,4.15149,sub-35_task-WordReading_run-01_bold,mm
fwhm_y,4.036505,sub-35_task-WordReading_run-02_bold,mm
fwhm_y,4.01374,sub-35_task-WordReading_run-03_bold,mm
fwhm_y,4.010805,sub-35_task-WordReading_run-04_bold,mm
fwhm_y,4.07305,sub-35_task-WordReading_run-05_bold,mm
fwhm_y,3.42096,sub-36_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.59046,sub-36_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.526165,sub-36_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.57313,sub-36_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.71845,sub-36_task-WordReading_run-01_bold,mm
fwhm_y,3.526285,sub-36_task-WordReading_run-02_bold,mm
fwhm_y,3.51669,sub-36_task-WordReading_run-03_bold,mm
fwhm_y,3.462105,sub-36_task-WordReading_run-04_bold,mm
fwhm_y,3.49114,sub-36_task-WordReading_run-05_bold,mm
fwhm_y,3.119995,sub-37_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.20402,sub-37_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.1406,sub-37_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.206655,sub-37_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.198065,sub-37_task-WordReading_run-01_bold,mm
fwhm_y,3.172955,sub-37_task-WordReading_run-02_bold,mm
fwhm_y,3.16152,sub-37_task-WordReading_run-03_bold,mm
fwhm_y,3.17208,sub-37_task-WordReading_run-04_bold,mm
fwhm_y,3.13068,sub-37_task-WordReading_run-05_bold,mm
fwhm_y,3.76731,sub-38_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.90029,sub-38_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.752135,sub-38_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.835045,sub-38_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.69148,sub-38_task-WordReading_run-01_bold,mm
fwhm_y,3.730105,sub-38_task-WordReading_run-02_bold,mm
fwhm_y,3.710685,sub-38_task-WordReading_run-03_bold,mm
fwhm_y,3.777335,sub-38_task-WordReading_run-04_bold,mm
fwhm_y,3.855445,sub-38_task-WordReading_run-05_bold,mm
fwhm_y,3.55466,sub-39_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,4.152675,sub-39_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.769375,sub-39_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.770905,sub-39_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.832425,sub-39_task-WordReading_run-01_bold,mm
fwhm_y,3.5803,sub-39_task-WordReading_run-02_bold,mm
fwhm_y,3.681855,sub-39_task-WordReading_run-03_bold,mm
fwhm_y,3.6137,sub-39_task-WordReading_run-04_bold,mm
fwhm_y,3.6126,sub-39_task-WordReading_run-05_bold,mm
fwhm_y,3.251645,sub-40_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.5589,sub-40_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.418475,sub-40_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.292175,sub-40_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.25321,sub-40_task-WordReading_run-01_bold,mm
fwhm_y,3.227175,sub-40_task-WordReading_run-02_bold,mm
fwhm_y,3.21101,sub-40_task-WordReading_run-03_bold,mm
fwhm_y,3.222205,sub-40_task-WordReading_run-04_bold,mm
fwhm_y,3.2167,sub-40_task-WordReading_run-05_bold,mm
fwhm_y,3.368,sub-41_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.64323,sub-41_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.379205,sub-41_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.350135,sub-41_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.417365,sub-41_task-WordReading_run-01_bold,mm
fwhm_y,3.35757,sub-41_task-WordReading_run-02_bold,mm
fwhm_y,3.326245,sub-41_task-WordReading_run-03_bold,mm
fwhm_y,3.31648,sub-41_task-WordReading_run-04_bold,mm
fwhm_y,3.32275,sub-41_task-WordReading_run-05_bold,mm
fwhm_y,3.4499,sub-42_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.627505,sub-42_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.5687,sub-42_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.587325,sub-42_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.60475,sub-42_task-WordReading_run-01_bold,mm
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fwhm_y,3.61784,sub-42_task-WordReading_run-03_bold,mm
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fwhm_y,3.60301,sub-42_task-WordReading_run-05_bold,mm
fwhm_y,3.088855,sub-43_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.37192,sub-43_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.46702,sub-43_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.452305,sub-43_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.15255,sub-43_task-WordReading_run-01_bold,mm
fwhm_y,3.136875,sub-43_task-WordReading_run-02_bold,mm
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fwhm_y,3.172885,sub-43_task-WordReading_run-05_bold,mm
fwhm_y,3.45939,sub-44_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.64866,sub-44_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.571715,sub-44_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.50784,sub-44_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.49374,sub-44_task-WordReading_run-01_bold,mm
fwhm_y,3.467265,sub-44_task-WordReading_run-02_bold,mm
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fwhm_y,3.490485,sub-44_task-WordReading_run-04_bold,mm
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fwhm_y,3.05303,sub-45_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.05719,sub-45_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.11666,sub-45_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.047965,sub-45_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.179805,sub-45_task-WordReading_run-01_bold,mm
fwhm_y,3.06608,sub-45_task-WordReading_run-02_bold,mm
fwhm_y,3.08836,sub-45_task-WordReading_run-03_bold,mm
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fwhm_y,3.44515,sub-46_task-ArchiLocalizer_run-01_bold,mm
fwhm_y,3.560435,sub-46_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.47668,sub-46_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.507865,sub-46_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.53464,sub-46_task-WordReading_run-01_bold,mm
fwhm_y,3.48922,sub-46_task-WordReading_run-02_bold,mm
fwhm_y,3.563635,sub-46_task-WordReading_run-03_bold,mm
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fwhm_y,3.514325,sub-46_task-WordReading_run-05_bold,mm
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fwhm_y,3.862565,sub-47_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.827505,sub-47_task-StatisticalLearning_run-02_bold,mm
fwhm_y,4.15631,sub-47_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.521485,sub-47_task-WordReading_run-01_bold,mm
fwhm_y,4.202505,sub-47_task-WordReading_run-02_bold,mm
fwhm_y,3.706875,sub-47_task-WordReading_run-03_bold,mm
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fwhm_y,4.16939,sub-47_task-WordReading_run-05_bold,mm
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fwhm_y,3.83495,sub-48_task-StatisticalLearning_run-01_bold,mm
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fwhm_y,3.837255,sub-48_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.80765,sub-48_task-WordReading_run-01_bold,mm
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fwhm_y,3.80635,sub-50_task-StatisticalLearning_run-01_bold,mm
fwhm_y,3.76966,sub-50_task-StatisticalLearning_run-02_bold,mm
fwhm_y,3.753795,sub-50_task-StatisticalLearning_run-03_bold,mm
fwhm_y,3.73207,sub-50_task-WordReading_run-01_bold,mm
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fwhm_z,3.938245,sub-31_task-ArchiLocalizer_run-01_bold,mm
fwhm_z,4.15471,sub-31_task-StatisticalLearning_run-01_bold,mm
fwhm_z,4.194775,sub-31_task-StatisticalLearning_run-02_bold,mm
fwhm_z,4.04703,sub-31_task-StatisticalLearning_run-03_bold,mm
fwhm_z,3.83447,sub-31_task-WordReading_run-01_bold,mm
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fwhm_z,3.73997,sub-31_task-WordReading_run-03_bold,mm
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fwhm_z,4.01557,sub-31_task-WordReading_run-05_bold,mm
fwhm_z,3.142565,sub-32_task-ArchiLocalizer_run-01_bold,mm
fwhm_z,3.320835,sub-32_task-StatisticalLearning_run-01_bold,mm
fwhm_z,3.09346,sub-32_task-StatisticalLearning_run-02_bold,mm
fwhm_z,3.0811,sub-32_task-StatisticalLearning_run-03_bold,mm
fwhm_z,3.199625,sub-32_task-WordReading_run-01_bold,mm
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fwhm_z,3.171025,sub-32_task-WordReading_run-04_bold,mm
fwhm_z,3.139705,sub-32_task-WordReading_run-05_bold,mm
fwhm_z,3.53161,sub-33_task-ArchiLocalizer_run-01_bold,mm
fwhm_z,3.580005,sub-33_task-StatisticalLearning_run-01_bold,mm
fwhm_z,3.60394,sub-33_task-StatisticalLearning_run-02_bold,mm
fwhm_z,3.564125,sub-33_task-StatisticalLearning_run-03_bold,mm
fwhm_z,3.723225,sub-33_task-WordReading_run-01_bold,mm
fwhm_z,3.56404,sub-33_task-WordReading_run-02_bold,mm
fwhm_z,3.709995,sub-33_task-WordReading_run-03_bold,mm
fwhm_z,3.569715,sub-33_task-WordReading_run-04_bold,mm
fwhm_z,3.59244,sub-33_task-WordReading_run-05_bold,mm
fwhm_z,3.698115220424844,sub-34_task-ArchiLocalizer_run-01_bold,mm
fwhm_z,3.5596502121716864,sub-34_task-StatisticalLearning_run-01_bold,mm
fwhm_z,3.509450209179533,sub-34_task-StatisticalLearning_run-02_bold,mm
fwhm_z,3.5340552106461054,sub-34_task-StatisticalLearning_run-03_bold,mm
fwhm_z,3.6965102203291775,sub-34_task-WordReading_run-01_bold,mm
fwhm_z,3.690725219984366,sub-34_task-WordReading_run-02_bold,mm
fwhm_z,3.519360209770215,sub-34_task-WordReading_run-03_bold,mm
fwhm_z,3.7726152248653904,sub-34_task-WordReading_run-04_bold,mm
fwhm_z,3.5739302130228405,sub-34_task-WordReading_run-05_bold,mm
fwhm_z,3.975275,sub-35_task-ArchiLocalizer_run-01_bold,mm
fwhm_z,4.205545,sub-35_task-StatisticalLearning_run-01_bold,mm
fwhm_z,4.09734,sub-35_task-StatisticalLearning_run-02_bold,mm
fwhm_z,4.03326,sub-35_task-StatisticalLearning_run-03_bold,mm
fwhm_z,4.18083,sub-35_task-WordReading_run-01_bold,mm
fwhm_z,4.037835,sub-35_task-WordReading_run-02_bold,mm
fwhm_z,4.033865,sub-35_task-WordReading_run-03_bold,mm
fwhm_z,4.018165,sub-35_task-WordReading_run-04_bold,mm
fwhm_z,4.103715,sub-35_task-WordReading_run-05_bold,mm
fwhm_z,3.551695,sub-36_task-ArchiLocalizer_run-01_bold,mm
fwhm_z,3.78605,sub-36_task-StatisticalLearning_run-01_bold,mm
fwhm_z,3.735615,sub-36_task-StatisticalLearning_run-02_bold,mm
fwhm_z,3.823415,sub-36_task-StatisticalLearning_run-03_bold,mm
fwhm_z,3.9622,sub-36_task-WordReading_run-01_bold,mm
fwhm_z,3.723295,sub-36_task-WordReading_run-02_bold,mm
fwhm_z,3.72695,sub-36_task-WordReading_run-03_bold,mm
fwhm_z,3.611615,sub-36_task-WordReading_run-04_bold,mm
fwhm_z,3.66846,sub-36_task-WordReading_run-05_bold,mm
fwhm_z,3.07388,sub-37_task-ArchiLocalizer_run-01_bold,mm
fwhm_z,3.197265,sub-37_task-StatisticalLearning_run-01_bold,mm
fwhm_z,3.112985,sub-37_task-StatisticalLearning_run-02_bold,mm
fwhm_z,3.171465,sub-37_task-StatisticalLearning_run-03_bold,mm
fwhm_z,3.17231,sub-37_task-WordReading_run-01_bold,mm
fwhm_z,3.14861,sub-37_task-WordReading_run-02_bold,mm
fwhm_z,3.153135,sub-37_task-WordReading_run-03_bold,mm
fwhm_z,3.162325,sub-37_task-WordReading_run-04_bold,mm
fwhm_z,3.116285,sub-37_task-WordReading_run-05_bold,mm
fwhm_z,3.78688,sub-38_task-ArchiLocalizer_run-01_bold,mm
fwhm_z,3.90226,sub-38_task-StatisticalLearning_run-01_bold,mm
fwhm_z,3.671815,sub-38_task-StatisticalLearning_run-02_bold,mm
fwhm_z,3.785365,sub-38_task-StatisticalLearning_run-03_bold,mm
fwhm_z,3.601365,sub-38_task-WordReading_run-01_bold,mm
fwhm_z,3.625925,sub-38_task-WordReading_run-02_bold,mm
fwhm_z,3.632885,sub-38_task-WordReading_run-03_bold,mm
fwhm_z,3.69285,sub-38_task-WordReading_run-04_bold,mm
fwhm_z,3.84044,sub-38_task-WordReading_run-05_bold,mm
fwhm_z,3.367055,sub-39_task-ArchiLocalizer_run-01_bold,mm
fwhm_z,4.098635,sub-39_task-StatisticalLearning_run-01_bold,mm
fwhm_z,3.631165,sub-39_task-StatisticalLearning_run-02_bold,mm
fwhm_z,3.54329,sub-39_task-StatisticalLearning_run-03_bold,mm
fwhm_z,3.65754,sub-39_task-WordReading_run-01_bold,mm
fwhm_z,3.399305,sub-39_task-WordReading_run-02_bold,mm
fwhm_z,3.509785,sub-39_task-WordReading_run-03_bold,mm
fwhm_z,3.45757,sub-39_task-WordReading_run-04_bold,mm
fwhm_z,3.456645,sub-39_task-WordReading_run-05_bold,mm
fwhm_z,3.11468,sub-40_task-ArchiLocalizer_run-01_bold,mm
fwhm_z,3.47027,sub-40_task-StatisticalLearning_run-01_bold,mm
fwhm_z,3.317705,sub-40_task-StatisticalLearning_run-02_bold,mm
fwhm_z,3.183745,sub-40_task-StatisticalLearning_run-03_bold,mm
fwhm_z,3.137165,sub-40_task-WordReading_run-01_bold,mm
fwhm_z,3.055825,sub-40_task-WordReading_run-02_bold,mm
fwhm_z,3.047895,sub-40_task-WordReading_run-03_bold,mm
fwhm_z,3.05708,sub-40_task-WordReading_run-04_bold,mm
fwhm_z,3.054035,sub-40_task-WordReading_run-05_bold,mm
fwhm_z,3.229515,sub-41_task-ArchiLocalizer_run-01_bold,mm
fwhm_z,3.62462,sub-41_task-StatisticalLearning_run-01_bold,mm
fwhm_z,3.300905,sub-41_task-StatisticalLearning_run-02_bold,mm
fwhm_z,3.27245,sub-41_task-StatisticalLearning_run-03_bold,mm
fwhm_z,3.339005,sub-41_task-WordReading_run-01_bold,mm
fwhm_z,3.276745,sub-41_task-WordReading_run-02_bold,mm
fwhm_z,3.249505,sub-41_task-WordReading_run-03_bold,mm
fwhm_z,3.227215,sub-41_task-WordReading_run-04_bold,mm
fwhm_z,3.226075,sub-41_task-WordReading_run-05_bold,mm
fwhm_z,3.281725,sub-42_task-ArchiLocalizer_run-01_bold,mm
fwhm_z,3.464055,sub-42_task-StatisticalLearning_run-01_bold,mm
fwhm_z,3.38884,sub-42_task-StatisticalLearning_run-02_bold,mm
fwhm_z,3.422885,sub-42_task-StatisticalLearning_run-03_bold,mm
fwhm_z,3.448205,sub-42_task-WordReading_run-01_bold,mm
fwhm_z,3.449525,sub-42_task-WordReading_run-02_bold,mm
fwhm_z,3.42004,sub-42_task-WordReading_run-03_bold,mm
fwhm_z,3.420415,sub-42_task-WordReading_run-04_bold,mm
fwhm_z,3.430025,sub-42_task-WordReading_run-05_bold,mm
fwhm_z,3.13516,sub-43_task-ArchiLocalizer_run-01_bold,mm
fwhm_z,3.59204,sub-43_task-StatisticalLearning_run-01_bold,mm
fwhm_z,3.66582,sub-43_task-StatisticalLearning_run-02_bold,mm
fwhm_z,3.69284,sub-43_task-StatisticalLearning_run-03_bold,mm
fwhm_z,3.176825,sub-43_task-WordReading_run-01_bold,mm
fwhm_z,3.171145,sub-43_task-WordReading_run-02_bold,mm
fwhm_z,3.266145,sub-43_task-WordReading_run-03_bold,mm
fwhm_z,3.18996,sub-43_task-WordReading_run-04_bold,mm
fwhm_z,3.26987,sub-43_task-WordReading_run-05_bold,mm
fwhm_z,3.2087,sub-44_task-ArchiLocalizer_run-01_bold,mm
fwhm_z,3.45259,sub-44_task-StatisticalLearning_run-01_bold,mm
fwhm_z,3.388815,sub-44_task-StatisticalLearning_run-02_bold,mm
fwhm_z,3.28017,sub-44_task-StatisticalLearning_run-03_bold,mm
fwhm_z,3.27603,sub-44_task-WordReading_run-01_bold,mm
fwhm_z,3.24211,sub-44_task-WordReading_run-02_bold,mm
fwhm_z,3.25477,sub-44_task-WordReading_run-03_bold,mm
fwhm_z,3.24998,sub-44_task-WordReading_run-04_bold,mm
fwhm_z,3.279775,sub-44_task-WordReading_run-05_bold,mm
fwhm_z,2.91948,sub-45_task-ArchiLocalizer_run-01_bold,mm
fwhm_z,2.908315,sub-45_task-StatisticalLearning_run-01_bold,mm
fwhm_z,3.045655,sub-45_task-StatisticalLearning_run-02_bold,mm
fwhm_z,2.90676,sub-45_task-StatisticalLearning_run-03_bold,mm
fwhm_z,3.075055,sub-45_task-WordReading_run-01_bold,mm
fwhm_z,2.91254,sub-45_task-WordReading_run-02_bold,mm
fwhm_z,2.976215,sub-45_task-WordReading_run-03_bold,mm
fwhm_z,2.905205,sub-45_task-WordReading_run-04_bold,mm
fwhm_z,2.865155,sub-45_task-WordReading_run-05_bold,mm
fwhm_z,3.295115,sub-46_task-ArchiLocalizer_run-01_bold,mm
fwhm_z,3.458365,sub-46_task-StatisticalLearning_run-01_bold,mm
fwhm_z,3.38401,sub-46_task-StatisticalLearning_run-02_bold,mm
fwhm_z,3.42261,sub-46_task-StatisticalLearning_run-03_bold,mm
fwhm_z,3.387185,sub-46_task-WordReading_run-01_bold,mm
fwhm_z,3.34477,sub-46_task-WordReading_run-02_bold,mm
fwhm_z,3.430015,sub-46_task-WordReading_run-03_bold,mm
fwhm_z,3.312605,sub-46_task-WordReading_run-04_bold,mm
fwhm_z,3.456085,sub-46_task-WordReading_run-05_bold,mm
fwhm_z,3.99599,sub-47_task-ArchiLocalizer_run-01_bold,mm
fwhm_z,3.847365,sub-47_task-StatisticalLearning_run-01_bold,mm
fwhm_z,3.65859,sub-47_task-StatisticalLearning_run-02_bold,mm
fwhm_z,4.48753,sub-47_task-StatisticalLearning_run-03_bold,mm
fwhm_z,3.348255,sub-47_task-WordReading_run-01_bold,mm
fwhm_z,4.611995,sub-47_task-WordReading_run-02_bold,mm
fwhm_z,3.67943,sub-47_task-WordReading_run-03_bold,mm
fwhm_z,3.581405,sub-47_task-WordReading_run-04_bold,mm
fwhm_z,4.577085,sub-47_task-WordReading_run-05_bold,mm
fwhm_z,4.121625,sub-48_task-ArchiLocalizer_run-01_bold,mm
fwhm_z,3.69012,sub-48_task-StatisticalLearning_run-01_bold,mm
fwhm_z,3.73268,sub-48_task-StatisticalLearning_run-02_bold,mm
fwhm_z,3.670895,sub-48_task-StatisticalLearning_run-03_bold,mm
fwhm_z,3.64406,sub-48_task-WordReading_run-01_bold,mm
fwhm_z,3.81239,sub-48_task-WordReading_run-02_bold,mm
fwhm_z,3.675985,sub-48_task-WordReading_run-03_bold,mm
fwhm_z,3.691045,sub-48_task-WordReading_run-04_bold,mm
fwhm_z,3.927265,sub-48_task-WordReading_run-05_bold,mm
fwhm_z,3.69878,sub-50_task-ArchiLocalizer_run-01_bold,mm
fwhm_z,3.811695,sub-50_task-StatisticalLearning_run-01_bold,mm
fwhm_z,3.677735,sub-50_task-StatisticalLearning_run-02_bold,mm
fwhm_z,3.77151,sub-50_task-StatisticalLearning_run-03_bold,mm
fwhm_z,3.702015,sub-50_task-WordReading_run-01_bold,mm
fwhm_z,3.692495,sub-50_task-WordReading_run-02_bold,mm
fwhm_z,3.751925,sub-50_task-WordReading_run-03_bold,mm
fwhm_z,3.78744,sub-50_task-WordReading_run-04_bold,mm
fwhm_z,3.945005,sub-50_task-WordReading_run-05_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,0.0005012683104723,sub-01_task-ArchiLocalizer_run-01_bold,
gsr_x,0.0003035669215023,sub-01_task-StatisticalLearning_run-01_bold,
gsr_x,-0.0004808153316844,sub-01_task-StatisticalLearning_run-02_bold,
gsr_x,0.0002131545479642,sub-01_task-StatisticalLearning_run-03_bold,
gsr_x,0.0001121424575103,sub-01_task-WordReading_run-01_bold,
gsr_x,-0.0001867527607828,sub-01_task-WordReading_run-02_bold,
gsr_x,0.0001749419170664,sub-01_task-WordReading_run-03_bold,
gsr_x,-0.0002090100460918,sub-01_task-WordReading_run-04_bold,
gsr_x,0.0001269395434064,sub-01_task-WordReading_run-05_bold,
gsr_x,0.007472675293684,sub-02_task-ArchiLocalizer_run-01_bold,
gsr_x,0.007044605910778,sub-02_task-StatisticalLearning_run-01_bold,
gsr_x,0.007139179855585,sub-02_task-StatisticalLearning_run-02_bold,
gsr_x,0.0072226026095449,sub-02_task-StatisticalLearning_run-03_bold,
gsr_x,0.0074490355327725,sub-02_task-WordReading_run-01_bold,
gsr_x,0.0067714499309659,sub-02_task-WordReading_run-02_bold,
gsr_x,0.0065346206538379,sub-02_task-WordReading_run-03_bold,
gsr_x,0.0062775807455182,sub-02_task-WordReading_run-04_bold,
gsr_x,0.0066546364687383,sub-02_task-WordReading_run-05_bold,
gsr_x,0.0033206921070814,sub-03_task-ArchiLocalizer_run-01_bold,
gsr_x,0.0022870891261845,sub-03_task-StatisticalLearning_run-01_bold,
gsr_x,0.0032185674645006,sub-03_task-StatisticalLearning_run-02_bold,
gsr_x,0.0032462291419506,sub-03_task-StatisticalLearning_run-03_bold,
gsr_x,0.0022945962846279,sub-03_task-WordReading_run-01_bold,
gsr_x,0.001516657997854,sub-03_task-WordReading_run-02_bold,
gsr_x,0.0009425391326658,sub-03_task-WordReading_run-03_bold,
gsr_x,0.0001400975597789,sub-03_task-WordReading_run-04_bold,
gsr_x,0.0019741735886782,sub-03_task-WordReading_run-05_bold,
gsr_x,0.0166581310331821,sub-04_task-ArchiLocalizer_run-01_bold,
gsr_x,0.0162135250866413,sub-04_task-StatisticalLearning_run-01_bold,
gsr_x,0.0161408763378858,sub-04_task-StatisticalLearning_run-02_bold,
gsr_x,0.0167897529900074,sub-04_task-StatisticalLearning_run-03_bold,
gsr_x,0.0162417721003294,sub-04_task-WordReading_run-01_bold,
gsr_x,0.0168083310127258,sub-04_task-WordReading_run-02_bold,
gsr_x,0.0160595420747995,sub-04_task-WordReading_run-03_bold,
gsr_x,0.0156071810051798,sub-04_task-WordReading_run-04_bold,
gsr_x,0.0152537357062101,sub-04_task-WordReading_run-05_bold,
gsr_x,0.0066461013630032,sub-05_task-ArchiLocalizer_run-01_bold,
gsr_x,0.009348283521831,sub-05_task-StatisticalLearning_run-01_bold,
gsr_x,0.0085320631042122,sub-05_task-StatisticalLearning_run-02_bold,
gsr_x,0.0062856012955307,sub-05_task-StatisticalLearning_run-03_bold,
gsr_x,0.0061906022019684,sub-05_task-WordReading_run-01_bold,
gsr_x,0.0079889446496963,sub-05_task-WordReading_run-02_bold,
gsr_x,0.0059442217461764,sub-05_task-WordReading_run-03_bold,
gsr_x,0.0083426032215356,sub-05_task-WordReading_run-04_bold,
gsr_x,0.0085086328908801,sub-05_task-WordReading_run-05_bold,
gsr_x,-0.0033491398207843,sub-06_task-ArchiLocalizer_run-01_bold,
gsr_x,-0.0040896465070545,sub-06_task-StatisticalLearning_run-01_bold,
gsr_x,-0.0034754765219986,sub-06_task-StatisticalLearning_run-02_bold,
gsr_x,-0.0026844567619264,sub-06_task-StatisticalLearning_run-03_bold,
gsr_x,-0.0054823267273604,sub-06_task-WordReading_run-01_bold,
gsr_x,-0.0047734207473695,sub-06_task-WordReading_run-02_bold,
gsr_x,-0.0050940387882292,sub-06_task-WordReading_run-03_bold,
gsr_x,-0.0058651198633015,sub-06_task-WordReading_run-04_bold,
gsr_x,-0.006376318167895,sub-06_task-WordReading_run-05_bold,
gsr_x,0.0027698974590748,sub-07_task-ArchiLocalizer_run-01_bold,
gsr_x,0.0026349343825131,sub-07_task-StatisticalLearning_run-01_bold,
gsr_x,0.0017365698004141,sub-07_task-StatisticalLearning_run-02_bold,
gsr_x,0.0015887644840404,sub-07_task-StatisticalLearning_run-03_bold,
gsr_x,0.0025126917753368,sub-07_task-WordReading_run-01_bold,
gsr_x,0.0022110005374997,sub-07_task-WordReading_run-02_bold,
gsr_x,0.0019161305390298,sub-07_task-WordReading_run-03_bold,
gsr_x,0.0025314213708043,sub-07_task-WordReading_run-04_bold,
gsr_x,0.0030280179344117,sub-07_task-WordReading_run-05_bold,
gsr_x,0.0164021495729684,sub-08_task-ArchiLocalizer_run-01_bold,
gsr_x,0.0142959002405405,sub-08_task-StatisticalLearning_run-01_bold,
gsr_x,0.0150973247364163,sub-08_task-StatisticalLearning_run-02_bold,
gsr_x,0.0155048575252294,sub-08_task-StatisticalLearning_run-03_bold,
gsr_x,0.0106734037399292,sub-08_task-WordReading_run-01_bold,
gsr_x,0.0103136990219354,sub-08_task-WordReading_run-02_bold,
gsr_x,0.0119245462119579,sub-08_task-WordReading_run-03_bold,
gsr_x,0.0140240974724292,sub-08_task-WordReading_run-04_bold,
gsr_x,0.0143174976110458,sub-08_task-WordReading_run-05_bold,
gsr_x,0.008245195262134,sub-09_task-ArchiLocalizer_run-01_bold,
gsr_x,0.0073543200269341,sub-09_task-StatisticalLearning_run-01_bold,
gsr_x,0.0075291148386895,sub-09_task-StatisticalLearning_run-02_bold,
gsr_x,0.0071596894413232,sub-09_task-StatisticalLearning_run-03_bold,
gsr_x,0.0080221081152558,sub-09_task-WordReading_run-01_bold,
gsr_x,0.0073965620249509,sub-09_task-WordReading_run-02_bold,
gsr_x,0.0072544356808066,sub-09_task-WordReading_run-03_bold,
gsr_x,0.0071412860415875,sub-09_task-WordReading_run-04_bold,
gsr_x,0.0061676558107137,sub-09_task-WordReading_run-05_bold,
gsr_x,0.0543139949440956,sub-10_task-ArchiLocalizer_run-01_bold,
gsr_x,0.0543878749012947,sub-10_task-StatisticalLearning_run-01_bold,
gsr_x,0.0534458309412002,sub-10_task-StatisticalLearning_run-02_bold,
gsr_x,0.054996270686388,sub-10_task-StatisticalLearning_run-03_bold,
gsr_x,0.0491296499967575,sub-10_task-WordReading_run-01_bold,
gsr_x,0.0511148609220981,sub-10_task-WordReading_run-02_bold,
gsr_x,0.0516164563596248,sub-10_task-WordReading_run-03_bold,
gsr_x,0.0537675283849239,sub-10_task-WordReading_run-04_bold,
gsr_x,0.05459925532341,sub-10_task-WordReading_run-05_bold,
gsr_x,0.0042403629049658,sub-11_task-ArchiLocalizer_run-01_bold,
gsr_x,0.0034300666302442,sub-11_task-StatisticalLearning_run-01_bold,
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</pre>
<div class="chart-wrapper" id="chart-group4"></div>
<pre class="csvdata" id="data-csv4" style="display: none">
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</pre>
<div class="chart-wrapper" id="chart-group5"></div>
<pre class="csvdata" id="data-csv5" style="display: none">
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dvars_vstd,1.019666597401961,sub-42_task-WordReading_run-05_bold,
dvars_vstd,1.0502782826086956,sub-43_task-ArchiLocalizer_run-01_bold,
dvars_vstd,0.9763218126382972,sub-43_task-StatisticalLearning_run-01_bold,
dvars_vstd,0.9405698261965808,sub-43_task-StatisticalLearning_run-02_bold,
dvars_vstd,1.192768283389832,sub-43_task-StatisticalLearning_run-03_bold,
dvars_vstd,1.009814748529411,sub-43_task-WordReading_run-01_bold,
dvars_vstd,1.005439709207921,sub-43_task-WordReading_run-02_bold,
dvars_vstd,0.9867628246078428,sub-43_task-WordReading_run-03_bold,
dvars_vstd,1.0382651195588233,sub-43_task-WordReading_run-04_bold,
dvars_vstd,1.102499365273632,sub-43_task-WordReading_run-05_bold,
dvars_vstd,1.0072918953017245,sub-44_task-ArchiLocalizer_run-01_bold,
dvars_vstd,1.0493110856779666,sub-44_task-StatisticalLearning_run-01_bold,
dvars_vstd,1.0144500771186442,sub-44_task-StatisticalLearning_run-02_bold,
dvars_vstd,1.0529157491063834,sub-44_task-StatisticalLearning_run-03_bold,
dvars_vstd,1.0143847586274517,sub-44_task-WordReading_run-01_bold,
dvars_vstd,1.0300559234313724,sub-44_task-WordReading_run-02_bold,
dvars_vstd,1.0116961366666668,sub-44_task-WordReading_run-03_bold,
dvars_vstd,1.0042245055392165,sub-44_task-WordReading_run-04_bold,
dvars_vstd,1.0024644436274508,sub-44_task-WordReading_run-05_bold,
dvars_vstd,1.0609003738793097,sub-45_task-ArchiLocalizer_run-01_bold,
dvars_vstd,1.0063212623728814,sub-45_task-StatisticalLearning_run-01_bold,
dvars_vstd,1.013013354957627,sub-45_task-StatisticalLearning_run-02_bold,
dvars_vstd,1.3917842585169484,sub-45_task-StatisticalLearning_run-03_bold,
dvars_vstd,1.0060833479802949,sub-45_task-WordReading_run-01_bold,
dvars_vstd,0.9853819183333332,sub-45_task-WordReading_run-02_bold,
dvars_vstd,0.9694673514778326,sub-45_task-WordReading_run-03_bold,
dvars_vstd,0.9899349243137257,sub-45_task-WordReading_run-04_bold,
dvars_vstd,0.9910272302970292,sub-45_task-WordReading_run-05_bold,
dvars_vstd,1.0296570608189657,sub-46_task-ArchiLocalizer_run-01_bold,
dvars_vstd,0.9797016722881352,sub-46_task-StatisticalLearning_run-01_bold,
dvars_vstd,1.0034760675862069,sub-46_task-StatisticalLearning_run-02_bold,
dvars_vstd,1.0024648847457625,sub-46_task-StatisticalLearning_run-03_bold,
dvars_vstd,0.9882186155882358,sub-46_task-WordReading_run-01_bold,
dvars_vstd,0.9979282434653468,sub-46_task-WordReading_run-02_bold,
dvars_vstd,0.9638921303940882,sub-46_task-WordReading_run-03_bold,
dvars_vstd,0.9971075900985218,sub-46_task-WordReading_run-04_bold,
dvars_vstd,0.9955041655721388,sub-46_task-WordReading_run-05_bold,
dvars_vstd,0.946472264675324,sub-47_task-ArchiLocalizer_run-01_bold,
dvars_vstd,1.012816627838983,sub-47_task-StatisticalLearning_run-01_bold,
dvars_vstd,0.9156534793589745,sub-47_task-StatisticalLearning_run-02_bold,
dvars_vstd,0.9030837240598286,sub-47_task-StatisticalLearning_run-03_bold,
dvars_vstd,0.9628276126470592,sub-47_task-WordReading_run-01_bold,
dvars_vstd,0.9265309456862744,sub-47_task-WordReading_run-02_bold,
dvars_vstd,0.9522937376732672,sub-47_task-WordReading_run-03_bold,
dvars_vstd,0.9482969134482748,sub-47_task-WordReading_run-04_bold,
dvars_vstd,0.9671971550980388,sub-47_task-WordReading_run-05_bold,
dvars_vstd,0.9155114458620692,sub-48_task-ArchiLocalizer_run-01_bold,
dvars_vstd,1.018496337711864,sub-48_task-StatisticalLearning_run-01_bold,
dvars_vstd,1.0386097616949148,sub-48_task-StatisticalLearning_run-02_bold,
dvars_vstd,1.0311782967372876,sub-48_task-StatisticalLearning_run-03_bold,
dvars_vstd,0.9872501428921572,sub-48_task-WordReading_run-01_bold,
dvars_vstd,1.078389761568628,sub-48_task-WordReading_run-02_bold,
dvars_vstd,1.0495822865196085,sub-48_task-WordReading_run-03_bold,
dvars_vstd,0.974236345931373,sub-48_task-WordReading_run-04_bold,
dvars_vstd,1.1252696022167483,sub-48_task-WordReading_run-05_bold,
dvars_vstd,0.9893730596506544,sub-50_task-ArchiLocalizer_run-01_bold,
dvars_vstd,0.973256679025424,sub-50_task-StatisticalLearning_run-01_bold,
dvars_vstd,1.0167958022457626,sub-50_task-StatisticalLearning_run-02_bold,
dvars_vstd,0.9813784486752136,sub-50_task-StatisticalLearning_run-03_bold,
dvars_vstd,1.018865375320198,sub-50_task-WordReading_run-01_bold,
dvars_vstd,1.0056053096078426,sub-50_task-WordReading_run-02_bold,
dvars_vstd,1.0001944487745107,sub-50_task-WordReading_run-03_bold,
dvars_vstd,1.017287969705882,sub-50_task-WordReading_run-04_bold,
dvars_vstd,0.9428518196568628,sub-50_task-WordReading_run-05_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,40.86001614874999,sub-01_task-ArchiLocalizer_run-01_bold,
dvars_nstd,38.013995880765954,sub-01_task-StatisticalLearning_run-01_bold,
dvars_nstd,39.05711162594019,sub-01_task-StatisticalLearning_run-02_bold,
dvars_nstd,39.06462191709403,sub-01_task-StatisticalLearning_run-03_bold,
dvars_nstd,40.51107897073893,sub-01_task-WordReading_run-01_bold,
dvars_nstd,41.49435315267324,sub-01_task-WordReading_run-02_bold,
dvars_nstd,41.14261950138613,sub-01_task-WordReading_run-03_bold,
dvars_nstd,41.881856044285705,sub-01_task-WordReading_run-04_bold,
dvars_nstd,40.63404317450496,sub-01_task-WordReading_run-05_bold,
dvars_nstd,45.88663230004327,sub-02_task-ArchiLocalizer_run-01_bold,
dvars_nstd,46.0196686117447,sub-02_task-StatisticalLearning_run-01_bold,
dvars_nstd,45.24399662004241,sub-02_task-StatisticalLearning_run-02_bold,
dvars_nstd,45.17085149229788,sub-02_task-StatisticalLearning_run-03_bold,
dvars_nstd,50.679564251862764,sub-02_task-WordReading_run-01_bold,
dvars_nstd,49.96886036460783,sub-02_task-WordReading_run-02_bold,
dvars_nstd,49.05301370808824,sub-02_task-WordReading_run-03_bold,
dvars_nstd,49.30870936882354,sub-02_task-WordReading_run-04_bold,
dvars_nstd,48.32595169354679,sub-02_task-WordReading_run-05_bold,
dvars_nstd,40.30426624826842,sub-03_task-ArchiLocalizer_run-01_bold,
dvars_nstd,40.73606401812765,sub-03_task-StatisticalLearning_run-01_bold,
dvars_nstd,40.8477227228085,sub-03_task-StatisticalLearning_run-02_bold,
dvars_nstd,40.21254076521368,sub-03_task-StatisticalLearning_run-03_bold,
dvars_nstd,43.88332205310344,sub-03_task-WordReading_run-01_bold,
dvars_nstd,45.35099253201973,sub-03_task-WordReading_run-02_bold,
dvars_nstd,44.14210775799021,sub-03_task-WordReading_run-03_bold,
dvars_nstd,43.48451479749999,sub-03_task-WordReading_run-04_bold,
dvars_nstd,44.029696228118816,sub-03_task-WordReading_run-05_bold,
dvars_nstd,39.43904607532467,sub-04_task-ArchiLocalizer_run-01_bold,
dvars_nstd,37.43928106809324,sub-04_task-StatisticalLearning_run-01_bold,
dvars_nstd,38.77595353546612,sub-04_task-StatisticalLearning_run-02_bold,
dvars_nstd,37.84795139395742,sub-04_task-StatisticalLearning_run-03_bold,
dvars_nstd,40.23701894068628,sub-04_task-WordReading_run-01_bold,
dvars_nstd,41.47028130151959,sub-04_task-WordReading_run-02_bold,
dvars_nstd,40.1262107249261,sub-04_task-WordReading_run-03_bold,
dvars_nstd,41.14635886387255,sub-04_task-WordReading_run-04_bold,
dvars_nstd,42.18348291714283,sub-04_task-WordReading_run-05_bold,
dvars_nstd,48.69022491051721,sub-05_task-ArchiLocalizer_run-01_bold,
dvars_nstd,47.60113990927967,sub-05_task-StatisticalLearning_run-01_bold,
dvars_nstd,48.38274802190677,sub-05_task-StatisticalLearning_run-02_bold,
dvars_nstd,50.38881140258476,sub-05_task-StatisticalLearning_run-03_bold,
dvars_nstd,58.32214368549021,sub-05_task-WordReading_run-01_bold,
dvars_nstd,63.49297484230394,sub-05_task-WordReading_run-02_bold,
dvars_nstd,46.66737397499998,sub-05_task-WordReading_run-03_bold,
dvars_nstd,50.32057530073889,sub-05_task-WordReading_run-04_bold,
dvars_nstd,49.81037291382353,sub-05_task-WordReading_run-05_bold,
dvars_nstd,37.8477921095238,sub-06_task-ArchiLocalizer_run-01_bold,
dvars_nstd,42.93400270182977,sub-06_task-StatisticalLearning_run-01_bold,
dvars_nstd,41.16618314719149,sub-06_task-StatisticalLearning_run-02_bold,
dvars_nstd,38.40204892623931,sub-06_task-StatisticalLearning_run-03_bold,
dvars_nstd,39.50416110221675,sub-06_task-WordReading_run-01_bold,
dvars_nstd,39.49985137656865,sub-06_task-WordReading_run-02_bold,
dvars_nstd,39.56092171648516,sub-06_task-WordReading_run-03_bold,
dvars_nstd,39.97097102252474,sub-06_task-WordReading_run-04_bold,
dvars_nstd,39.90551133940888,sub-06_task-WordReading_run-05_bold,
dvars_nstd,44.692489590913056,sub-07_task-ArchiLocalizer_run-01_bold,
dvars_nstd,43.76581623804258,sub-07_task-StatisticalLearning_run-01_bold,
dvars_nstd,43.96411447154505,sub-07_task-StatisticalLearning_run-02_bold,
dvars_nstd,45.564337807659605,sub-07_task-StatisticalLearning_run-03_bold,
dvars_nstd,49.94242144563725,sub-07_task-WordReading_run-01_bold,
dvars_nstd,49.624084248431416,sub-07_task-WordReading_run-02_bold,
dvars_nstd,50.41770744303917,sub-07_task-WordReading_run-03_bold,
dvars_nstd,53.74784918426472,sub-07_task-WordReading_run-04_bold,
dvars_nstd,53.228147271724175,sub-07_task-WordReading_run-05_bold,
dvars_nstd,40.89007258195655,sub-08_task-ArchiLocalizer_run-01_bold,
dvars_nstd,45.16352447956897,sub-08_task-StatisticalLearning_run-01_bold,
dvars_nstd,43.44580120504275,sub-08_task-StatisticalLearning_run-02_bold,
dvars_nstd,43.8485053525958,sub-08_task-StatisticalLearning_run-03_bold,
dvars_nstd,50.10844531691176,sub-08_task-WordReading_run-01_bold,
dvars_nstd,48.53695487054184,sub-08_task-WordReading_run-02_bold,
dvars_nstd,49.71984759960591,sub-08_task-WordReading_run-03_bold,
dvars_nstd,49.10745551177339,sub-08_task-WordReading_run-04_bold,
dvars_nstd,47.72225999157639,sub-08_task-WordReading_run-05_bold,
dvars_nstd,46.62564375478261,sub-09_task-ArchiLocalizer_run-01_bold,
dvars_nstd,55.052329176610165,sub-09_task-StatisticalLearning_run-01_bold,
dvars_nstd,56.211503649659534,sub-09_task-StatisticalLearning_run-02_bold,
dvars_nstd,54.3280442582979,sub-09_task-StatisticalLearning_run-03_bold,
dvars_nstd,47.736173601576354,sub-09_task-WordReading_run-01_bold,
dvars_nstd,47.49517605069307,sub-09_task-WordReading_run-02_bold,
dvars_nstd,47.741251369851526,sub-09_task-WordReading_run-03_bold,
dvars_nstd,47.34378389777231,sub-09_task-WordReading_run-04_bold,
dvars_nstd,48.23493120935647,sub-09_task-WordReading_run-05_bold,
dvars_nstd,44.484766055948256,sub-10_task-ArchiLocalizer_run-01_bold,
dvars_nstd,45.646702992669525,sub-10_task-StatisticalLearning_run-01_bold,
dvars_nstd,48.08464286271187,sub-10_task-StatisticalLearning_run-02_bold,
dvars_nstd,43.66900295338984,sub-10_task-StatisticalLearning_run-03_bold,
dvars_nstd,45.33174643833337,sub-10_task-WordReading_run-01_bold,
dvars_nstd,51.80193057705881,sub-10_task-WordReading_run-02_bold,
dvars_nstd,58.38643307774513,sub-10_task-WordReading_run-03_bold,
dvars_nstd,48.98463114539214,sub-10_task-WordReading_run-04_bold,
dvars_nstd,45.7274995130392,sub-10_task-WordReading_run-05_bold,
dvars_nstd,45.08662016668104,sub-11_task-ArchiLocalizer_run-01_bold,
dvars_nstd,45.14015616536167,sub-11_task-StatisticalLearning_run-01_bold,
dvars_nstd,45.53320825442554,sub-11_task-StatisticalLearning_run-02_bold,
dvars_nstd,49.10617232625536,sub-11_task-StatisticalLearning_run-03_bold,
dvars_nstd,47.083472923891605,sub-11_task-WordReading_run-01_bold,
dvars_nstd,47.068239735441146,sub-11_task-WordReading_run-02_bold,
dvars_nstd,47.83526781485293,sub-11_task-WordReading_run-03_bold,
dvars_nstd,48.27843572573529,sub-11_task-WordReading_run-04_bold,
dvars_nstd,48.11693061217822,sub-11_task-WordReading_run-05_bold,
dvars_nstd,43.85712252,sub-12_task-ArchiLocalizer_run-01_bold,
dvars_nstd,45.42815680012768,sub-12_task-StatisticalLearning_run-01_bold,
dvars_nstd,44.96192961973913,sub-12_task-StatisticalLearning_run-02_bold,
dvars_nstd,45.58768865610168,sub-12_task-StatisticalLearning_run-03_bold,
dvars_nstd,45.813652414137934,sub-12_task-WordReading_run-01_bold,
dvars_nstd,43.015242670049005,sub-12_task-WordReading_run-02_bold,
dvars_nstd,45.56257391430695,sub-12_task-WordReading_run-03_bold,
dvars_nstd,44.96599874318625,sub-12_task-WordReading_run-04_bold,
dvars_nstd,43.311219701617645,sub-12_task-WordReading_run-05_bold,
dvars_nstd,46.56841679267242,sub-13_task-ArchiLocalizer_run-01_bold,
dvars_nstd,49.20465682741524,sub-13_task-StatisticalLearning_run-01_bold,
dvars_nstd,48.29684745703388,sub-13_task-StatisticalLearning_run-02_bold,
dvars_nstd,47.63634403711864,sub-13_task-StatisticalLearning_run-03_bold,
dvars_nstd,48.040382778333296,sub-13_task-WordReading_run-01_bold,
dvars_nstd,47.82358493058827,sub-13_task-WordReading_run-02_bold,
dvars_nstd,48.07054162475492,sub-13_task-WordReading_run-03_bold,
dvars_nstd,47.76601249063725,sub-13_task-WordReading_run-04_bold,
dvars_nstd,48.28220535750002,sub-13_task-WordReading_run-05_bold,
dvars_nstd,38.62549994073913,sub-14_task-ArchiLocalizer_run-01_bold,
dvars_nstd,38.39565342025533,sub-14_task-StatisticalLearning_run-01_bold,
dvars_nstd,38.53869562336172,sub-14_task-StatisticalLearning_run-02_bold,
dvars_nstd,39.24328104110169,sub-14_task-StatisticalLearning_run-03_bold,
dvars_nstd,44.32871810980196,sub-14_task-WordReading_run-01_bold,
dvars_nstd,43.369840848514826,sub-14_task-WordReading_run-02_bold,
dvars_nstd,42.97958848995098,sub-14_task-WordReading_run-03_bold,
dvars_nstd,39.46988335975372,sub-14_task-WordReading_run-04_bold,
dvars_nstd,39.12899793413795,sub-14_task-WordReading_run-05_bold,
dvars_nstd,57.58566177310343,sub-15_task-ArchiLocalizer_run-01_bold,
dvars_nstd,57.46734237680853,sub-15_task-StatisticalLearning_run-01_bold,
dvars_nstd,54.63990384423731,sub-15_task-StatisticalLearning_run-02_bold,
dvars_nstd,59.28503807504239,sub-15_task-StatisticalLearning_run-03_bold,
dvars_nstd,49.860813215588216,sub-15_task-WordReading_run-01_bold,
dvars_nstd,50.23045373401958,sub-15_task-WordReading_run-02_bold,
dvars_nstd,61.426546321323535,sub-15_task-WordReading_run-03_bold,
dvars_nstd,66.18594167750005,sub-15_task-WordReading_run-04_bold,
dvars_nstd,71.45715389965687,sub-15_task-WordReading_run-05_bold,
dvars_nstd,47.63922581554113,sub-16_task-ArchiLocalizer_run-01_bold,
dvars_nstd,45.106951842796576,sub-16_task-StatisticalLearning_run-01_bold,
dvars_nstd,45.33002208466101,sub-16_task-StatisticalLearning_run-02_bold,
dvars_nstd,47.362587234723385,sub-16_task-StatisticalLearning_run-03_bold,
dvars_nstd,47.06847770591133,sub-16_task-WordReading_run-01_bold,
dvars_nstd,45.093916023645306,sub-16_task-WordReading_run-02_bold,
dvars_nstd,44.80770806369455,sub-16_task-WordReading_run-03_bold,
dvars_nstd,46.60490292147057,sub-16_task-WordReading_run-04_bold,
dvars_nstd,44.2375772890196,sub-16_task-WordReading_run-05_bold,
dvars_nstd,46.47109060584414,sub-17_task-ArchiLocalizer_run-01_bold,
dvars_nstd,49.77077859165254,sub-17_task-StatisticalLearning_run-01_bold,
dvars_nstd,48.05520807690676,sub-17_task-StatisticalLearning_run-02_bold,
dvars_nstd,46.6681195434746,sub-17_task-StatisticalLearning_run-03_bold,
dvars_nstd,46.58231738995074,sub-17_task-WordReading_run-01_bold,
dvars_nstd,47.172553548235335,sub-17_task-WordReading_run-02_bold,
dvars_nstd,48.15940793019704,sub-17_task-WordReading_run-03_bold,
dvars_nstd,47.47784283509804,sub-17_task-WordReading_run-04_bold,
dvars_nstd,47.74149638534315,sub-17_task-WordReading_run-05_bold,
dvars_nstd,47.215738604628825,sub-18_task-ArchiLocalizer_run-01_bold,
dvars_nstd,51.83522509276595,sub-18_task-StatisticalLearning_run-01_bold,
dvars_nstd,51.92939575730771,sub-18_task-StatisticalLearning_run-02_bold,
dvars_nstd,51.79296899562236,sub-18_task-StatisticalLearning_run-03_bold,
dvars_nstd,49.26078973886137,sub-18_task-WordReading_run-01_bold,
dvars_nstd,50.583115281674864,sub-18_task-WordReading_run-02_bold,
dvars_nstd,51.59297506597012,sub-18_task-WordReading_run-03_bold,
dvars_nstd,51.77682525346535,sub-18_task-WordReading_run-04_bold,
dvars_nstd,50.0254890745813,sub-18_task-WordReading_run-05_bold,
dvars_nstd,42.57635817038795,sub-19_task-ArchiLocalizer_run-01_bold,
dvars_nstd,39.73623576080848,sub-19_task-StatisticalLearning_run-01_bold,
dvars_nstd,37.58762480864407,sub-19_task-StatisticalLearning_run-02_bold,
dvars_nstd,36.62193593808512,sub-19_task-StatisticalLearning_run-03_bold,
dvars_nstd,47.08450289333331,sub-19_task-WordReading_run-01_bold,
dvars_nstd,45.307692391477815,sub-19_task-WordReading_run-02_bold,
dvars_nstd,46.0484658224138,sub-19_task-WordReading_run-03_bold,
dvars_nstd,44.40633121768477,sub-19_task-WordReading_run-04_bold,
dvars_nstd,41.66902684225491,sub-19_task-WordReading_run-05_bold,
dvars_nstd,39.35012878228447,sub-20_task-ArchiLocalizer_run-01_bold,
dvars_nstd,39.917030967531936,sub-20_task-StatisticalLearning_run-01_bold,
dvars_nstd,39.50748624639833,sub-20_task-StatisticalLearning_run-02_bold,
dvars_nstd,39.34888929012766,sub-20_task-StatisticalLearning_run-03_bold,
dvars_nstd,49.25586053436273,sub-20_task-WordReading_run-01_bold,
dvars_nstd,43.837682966960806,sub-20_task-WordReading_run-02_bold,
dvars_nstd,43.58190633740198,sub-20_task-WordReading_run-03_bold,
dvars_nstd,44.135877571617655,sub-20_task-WordReading_run-04_bold,
dvars_nstd,40.50908315108375,sub-20_task-WordReading_run-05_bold,
dvars_nstd,44.30960739047412,sub-21_task-ArchiLocalizer_run-01_bold,
dvars_nstd,41.45859959169491,sub-21_task-StatisticalLearning_run-01_bold,
dvars_nstd,39.99377131080508,sub-21_task-StatisticalLearning_run-02_bold,
dvars_nstd,39.02950099426722,sub-21_task-StatisticalLearning_run-03_bold,
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dvars_nstd,50.42683141357845,sub-50_task-WordReading_run-03_bold,
dvars_nstd,50.92734475245102,sub-50_task-WordReading_run-04_bold,
dvars_nstd,46.58354809700982,sub-50_task-WordReading_run-05_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,0.071861588954224,sub-01_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.0517170131891633,sub-01_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.0559016064200439,sub-01_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.0665741459863747,sub-01_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.0896635812768442,sub-01_task-WordReading_run-01_bold,mm
fd_mean,0.0931971193576698,sub-01_task-WordReading_run-02_bold,mm
fd_mean,0.0957308328358648,sub-01_task-WordReading_run-03_bold,mm
fd_mean,0.0864612087082697,sub-01_task-WordReading_run-04_bold,mm
fd_mean,0.0816183356665772,sub-01_task-WordReading_run-05_bold,mm
fd_mean,0.1335419182133874,sub-02_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1303355861209348,sub-02_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1288459553616626,sub-02_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1259269459085645,sub-02_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1792180079246422,sub-02_task-WordReading_run-01_bold,mm
fd_mean,0.1688890908243547,sub-02_task-WordReading_run-02_bold,mm
fd_mean,0.1594913854585067,sub-02_task-WordReading_run-03_bold,mm
fd_mean,0.1620951229663378,sub-02_task-WordReading_run-04_bold,mm
fd_mean,0.1712689692263947,sub-02_task-WordReading_run-05_bold,mm
fd_mean,0.0829686775755029,sub-03_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.0981319227905568,sub-03_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1070590501344008,sub-03_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.0852152403890533,sub-03_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.151651792263548,sub-03_task-WordReading_run-01_bold,mm
fd_mean,0.1533535564499422,sub-03_task-WordReading_run-02_bold,mm
fd_mean,0.1276801281674224,sub-03_task-WordReading_run-03_bold,mm
fd_mean,0.1314054539976168,sub-03_task-WordReading_run-04_bold,mm
fd_mean,0.132925479938284,sub-03_task-WordReading_run-05_bold,mm
fd_mean,0.1039740680825258,sub-04_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.0789904754505155,sub-04_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1086539724951032,sub-04_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1077340766625328,sub-04_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.0977258422680742,sub-04_task-WordReading_run-01_bold,mm
fd_mean,0.1197915852706674,sub-04_task-WordReading_run-02_bold,mm
fd_mean,0.1128884812146397,sub-04_task-WordReading_run-03_bold,mm
fd_mean,0.1107870050080167,sub-04_task-WordReading_run-04_bold,mm
fd_mean,0.1129506241047004,sub-04_task-WordReading_run-05_bold,mm
fd_mean,0.1518382722266337,sub-05_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1683996345007279,sub-05_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1928727710416988,sub-05_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.2077869501755741,sub-05_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.3440493892240386,sub-05_task-WordReading_run-01_bold,mm
fd_mean,0.3687430376232464,sub-05_task-WordReading_run-02_bold,mm
fd_mean,0.1600389248612672,sub-05_task-WordReading_run-03_bold,mm
fd_mean,0.2018954888399074,sub-05_task-WordReading_run-04_bold,mm
fd_mean,0.1986804629163781,sub-05_task-WordReading_run-05_bold,mm
fd_mean,0.0861243316202131,sub-06_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1649917162949969,sub-06_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.128623829362354,sub-06_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.0905567850887455,sub-06_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1238156826637397,sub-06_task-WordReading_run-01_bold,mm
fd_mean,0.1062928429220366,sub-06_task-WordReading_run-02_bold,mm
fd_mean,0.1009415312446625,sub-06_task-WordReading_run-03_bold,mm
fd_mean,0.1045141406493024,sub-06_task-WordReading_run-04_bold,mm
fd_mean,0.1056064838762459,sub-06_task-WordReading_run-05_bold,mm
fd_mean,0.138233505847333,sub-07_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1239803704110176,sub-07_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.129827881464915,sub-07_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1600253948061173,sub-07_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1975993536125672,sub-07_task-WordReading_run-01_bold,mm
fd_mean,0.1717160958998232,sub-07_task-WordReading_run-02_bold,mm
fd_mean,0.1932188744629889,sub-07_task-WordReading_run-03_bold,mm
fd_mean,0.2365285838307159,sub-07_task-WordReading_run-04_bold,mm
fd_mean,0.244722581393793,sub-07_task-WordReading_run-05_bold,mm
fd_mean,0.0844876230379527,sub-08_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1417216608057728,sub-08_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1132609001374158,sub-08_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1115115043043289,sub-08_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1880358634085459,sub-08_task-WordReading_run-01_bold,mm
fd_mean,0.1814378365854033,sub-08_task-WordReading_run-02_bold,mm
fd_mean,0.1860575254536322,sub-08_task-WordReading_run-03_bold,mm
fd_mean,0.1767410379170989,sub-08_task-WordReading_run-04_bold,mm
fd_mean,0.1696257563364105,sub-08_task-WordReading_run-05_bold,mm
fd_mean,0.1407757001527751,sub-09_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.237763533488894,sub-09_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.2461243660246059,sub-09_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.2311874690830969,sub-09_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1709322884370662,sub-09_task-WordReading_run-01_bold,mm
fd_mean,0.1573387460100512,sub-09_task-WordReading_run-02_bold,mm
fd_mean,0.1657102452278334,sub-09_task-WordReading_run-03_bold,mm
fd_mean,0.1590380504050328,sub-09_task-WordReading_run-04_bold,mm
fd_mean,0.1723889808447194,sub-09_task-WordReading_run-05_bold,mm
fd_mean,0.1396867934648598,sub-10_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1835557347501263,sub-10_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.2070139231050109,sub-10_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1299139714456351,sub-10_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1537601950672381,sub-10_task-WordReading_run-01_bold,mm
fd_mean,0.2540102697985291,sub-10_task-WordReading_run-02_bold,mm
fd_mean,0.3192707473679885,sub-10_task-WordReading_run-03_bold,mm
fd_mean,0.2146470645626126,sub-10_task-WordReading_run-04_bold,mm
fd_mean,0.1644974024401912,sub-10_task-WordReading_run-05_bold,mm
fd_mean,0.0857064520251898,sub-11_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.0848983968019582,sub-11_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1061313418546459,sub-11_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1501134561944079,sub-11_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1003614574878959,sub-11_task-WordReading_run-01_bold,mm
fd_mean,0.0980039846067316,sub-11_task-WordReading_run-02_bold,mm
fd_mean,0.1191109329559826,sub-11_task-WordReading_run-03_bold,mm
fd_mean,0.1196717762371159,sub-11_task-WordReading_run-04_bold,mm
fd_mean,0.12263245728788,sub-11_task-WordReading_run-05_bold,mm
fd_mean,0.0945134325746546,sub-12_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1076072426072843,sub-12_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.0899440392994817,sub-12_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.0883655960899009,sub-12_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1569685022239296,sub-12_task-WordReading_run-01_bold,mm
fd_mean,0.1115790831345584,sub-12_task-WordReading_run-02_bold,mm
fd_mean,0.1404513965609806,sub-12_task-WordReading_run-03_bold,mm
fd_mean,0.1219986829428331,sub-12_task-WordReading_run-04_bold,mm
fd_mean,0.0998358207558307,sub-12_task-WordReading_run-05_bold,mm
fd_mean,0.0983131200796889,sub-13_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1445626934326239,sub-13_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.120758240656635,sub-13_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1083344724168396,sub-13_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1340398186480429,sub-13_task-WordReading_run-01_bold,mm
fd_mean,0.1299177943994101,sub-13_task-WordReading_run-02_bold,mm
fd_mean,0.1346507740912817,sub-13_task-WordReading_run-03_bold,mm
fd_mean,0.137808113742068,sub-13_task-WordReading_run-04_bold,mm
fd_mean,0.1297675854468384,sub-13_task-WordReading_run-05_bold,mm
fd_mean,0.091119398011348,sub-14_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.0866680714658858,sub-14_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.090429910248676,sub-14_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.098605589960585,sub-14_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1096317897387495,sub-14_task-WordReading_run-01_bold,mm
fd_mean,0.1013308825334999,sub-14_task-WordReading_run-02_bold,mm
fd_mean,0.0985080754860192,sub-14_task-WordReading_run-03_bold,mm
fd_mean,0.0970865169589666,sub-14_task-WordReading_run-04_bold,mm
fd_mean,0.0922941171172299,sub-14_task-WordReading_run-05_bold,mm
fd_mean,0.2046827226764189,sub-15_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.2553108442332476,sub-15_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.223689018253072,sub-15_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.2628478996901152,sub-15_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1515555301837442,sub-15_task-WordReading_run-01_bold,mm
fd_mean,0.1488899830470639,sub-15_task-WordReading_run-02_bold,mm
fd_mean,0.2403173208462042,sub-15_task-WordReading_run-03_bold,mm
fd_mean,0.2887248671108269,sub-15_task-WordReading_run-04_bold,mm
fd_mean,0.3489318089919816,sub-15_task-WordReading_run-05_bold,mm
fd_mean,0.1491761463738486,sub-16_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1330339586266875,sub-16_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1246812487318738,sub-16_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1440954489371542,sub-16_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1604088929845495,sub-16_task-WordReading_run-01_bold,mm
fd_mean,0.1373201303824494,sub-16_task-WordReading_run-02_bold,mm
fd_mean,0.132813993333802,sub-16_task-WordReading_run-03_bold,mm
fd_mean,0.1565171018666228,sub-16_task-WordReading_run-04_bold,mm
fd_mean,0.1267726103942346,sub-16_task-WordReading_run-05_bold,mm
fd_mean,0.1139690044291953,sub-17_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1455635038730684,sub-17_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1324629341675857,sub-17_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1370195781136438,sub-17_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1192639573635073,sub-17_task-WordReading_run-01_bold,mm
fd_mean,0.1242664585876847,sub-17_task-WordReading_run-02_bold,mm
fd_mean,0.1286876414688552,sub-17_task-WordReading_run-03_bold,mm
fd_mean,0.1208496904584805,sub-17_task-WordReading_run-04_bold,mm
fd_mean,0.1302473849286385,sub-17_task-WordReading_run-05_bold,mm
fd_mean,0.1385568221008396,sub-18_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1921494954819641,sub-18_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1904364962005272,sub-18_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.2134123495478971,sub-18_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1411665454989297,sub-18_task-WordReading_run-01_bold,mm
fd_mean,0.1633822309802277,sub-18_task-WordReading_run-02_bold,mm
fd_mean,0.1626967173810694,sub-18_task-WordReading_run-03_bold,mm
fd_mean,0.1761636169574028,sub-18_task-WordReading_run-04_bold,mm
fd_mean,0.1555299269510557,sub-18_task-WordReading_run-05_bold,mm
fd_mean,0.1192063620643643,sub-19_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.0763177597613614,sub-19_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.0769447892041361,sub-19_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.0741504050348388,sub-19_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.0820606190025782,sub-19_task-WordReading_run-01_bold,mm
fd_mean,0.0879495150448863,sub-19_task-WordReading_run-02_bold,mm
fd_mean,0.1006423138399389,sub-19_task-WordReading_run-03_bold,mm
fd_mean,0.100868637551882,sub-19_task-WordReading_run-04_bold,mm
fd_mean,0.0991566042100071,sub-19_task-WordReading_run-05_bold,mm
fd_mean,0.0965043249991503,sub-20_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1034817650856217,sub-20_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1033695672287707,sub-20_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.0893977338894611,sub-20_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1676790411718299,sub-20_task-WordReading_run-01_bold,mm
fd_mean,0.1289086533142345,sub-20_task-WordReading_run-02_bold,mm
fd_mean,0.1385828860805934,sub-20_task-WordReading_run-03_bold,mm
fd_mean,0.1366706824219294,sub-20_task-WordReading_run-04_bold,mm
fd_mean,0.124130865093108,sub-20_task-WordReading_run-05_bold,mm
fd_mean,0.1752870226452024,sub-21_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1078373953486542,sub-21_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1366762687638086,sub-21_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1159124555345696,sub-21_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1257530556494675,sub-21_task-WordReading_run-01_bold,mm
fd_mean,0.1127409733908672,sub-21_task-WordReading_run-02_bold,mm
fd_mean,0.1207388786849854,sub-21_task-WordReading_run-03_bold,mm
fd_mean,0.1116835276853736,sub-21_task-WordReading_run-04_bold,mm
fd_mean,0.1195325106374426,sub-21_task-WordReading_run-05_bold,mm
fd_mean,0.0722296609542842,sub-22_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.0563017178829497,sub-22_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.0630679426548509,sub-22_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.0531114320774303,sub-22_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.0614895803201373,sub-22_task-WordReading_run-01_bold,mm
fd_mean,0.0655667913845077,sub-22_task-WordReading_run-02_bold,mm
fd_mean,0.0651927410009812,sub-22_task-WordReading_run-03_bold,mm
fd_mean,0.0629211613784294,sub-22_task-WordReading_run-04_bold,mm
fd_mean,0.0629797099286995,sub-22_task-WordReading_run-05_bold,mm
fd_mean,0.1028065812832812,sub-23_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.0924729065190194,sub-23_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.097647813087384,sub-23_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1036701341283276,sub-23_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1205984478527804,sub-23_task-WordReading_run-01_bold,mm
fd_mean,0.099858930736432,sub-23_task-WordReading_run-02_bold,mm
fd_mean,0.1034674265912686,sub-23_task-WordReading_run-03_bold,mm
fd_mean,0.0909684752493198,sub-23_task-WordReading_run-04_bold,mm
fd_mean,0.095140176938748,sub-23_task-WordReading_run-05_bold,mm
fd_mean,0.11384909147647,sub-24_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1124415037902004,sub-24_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1202627802416409,sub-24_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1188676018421367,sub-24_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1641281116051981,sub-24_task-WordReading_run-01_bold,mm
fd_mean,0.1696733534798422,sub-24_task-WordReading_run-02_bold,mm
fd_mean,0.159928890259321,sub-24_task-WordReading_run-03_bold,mm
fd_mean,0.157518275297002,sub-24_task-WordReading_run-04_bold,mm
fd_mean,0.1752598670270041,sub-24_task-WordReading_run-05_bold,mm
fd_mean,0.1200083563407282,sub-25_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1254383820850078,sub-25_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1500612416893688,sub-25_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1408325597621179,sub-25_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.132342328652376,sub-25_task-WordReading_run-01_bold,mm
fd_mean,0.1307761930496001,sub-25_task-WordReading_run-02_bold,mm
fd_mean,0.1316054788586757,sub-25_task-WordReading_run-03_bold,mm
fd_mean,0.127696356154998,sub-25_task-WordReading_run-04_bold,mm
fd_mean,0.1278821605065752,sub-25_task-WordReading_run-05_bold,mm
fd_mean,0.1064227322330244,sub-26_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1048032022090205,sub-26_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1091176827133334,sub-26_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1216084621075235,sub-26_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1431101713831219,sub-26_task-WordReading_run-01_bold,mm
fd_mean,0.1584383294552252,sub-26_task-WordReading_run-02_bold,mm
fd_mean,0.2094671556344678,sub-26_task-WordReading_run-03_bold,mm
fd_mean,0.2492357263139188,sub-26_task-WordReading_run-04_bold,mm
fd_mean,0.1421873648534414,sub-26_task-WordReading_run-05_bold,mm
fd_mean,0.1691717265490809,sub-27_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1673826670224902,sub-27_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1509833683077418,sub-27_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.173709840147437,sub-27_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.2205472670181964,sub-27_task-WordReading_run-01_bold,mm
fd_mean,0.1845936234079785,sub-27_task-WordReading_run-02_bold,mm
fd_mean,0.1934540762256297,sub-27_task-WordReading_run-03_bold,mm
fd_mean,0.2024928260363704,sub-27_task-WordReading_run-04_bold,mm
fd_mean,0.2097879772881368,sub-27_task-WordReading_run-05_bold,mm
fd_mean,0.1375382670588999,sub-28_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.2137387337513773,sub-28_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1883721264518712,sub-28_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.2214799451326957,sub-28_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.2049323995515566,sub-28_task-WordReading_run-01_bold,mm
fd_mean,0.1732249795559464,sub-28_task-WordReading_run-02_bold,mm
fd_mean,0.1935211415913793,sub-28_task-WordReading_run-03_bold,mm
fd_mean,0.2605731749369693,sub-28_task-WordReading_run-04_bold,mm
fd_mean,0.2440722707385492,sub-28_task-WordReading_run-05_bold,mm
fd_mean,0.0894725249204207,sub-29_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.0734747037897625,sub-29_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.0656485186126602,sub-29_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.0928405199766354,sub-29_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.0949991770173064,sub-29_task-WordReading_run-01_bold,mm
fd_mean,0.0918055035622176,sub-29_task-WordReading_run-02_bold,mm
fd_mean,0.0924879045827212,sub-29_task-WordReading_run-03_bold,mm
fd_mean,0.0923917774406031,sub-29_task-WordReading_run-04_bold,mm
fd_mean,0.0914558810429945,sub-29_task-WordReading_run-05_bold,mm
fd_mean,0.1731511825114023,sub-30_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1144844032292251,sub-30_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.136699018573416,sub-30_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1234469395053809,sub-30_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1215225795488457,sub-30_task-WordReading_run-01_bold,mm
fd_mean,0.1310414271691483,sub-30_task-WordReading_run-02_bold,mm
fd_mean,0.1299722069029482,sub-30_task-WordReading_run-03_bold,mm
fd_mean,0.1493750782391489,sub-30_task-WordReading_run-04_bold,mm
fd_mean,0.1326458496002852,sub-30_task-WordReading_run-05_bold,mm
fd_mean,0.1848710346897204,sub-31_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.2389667829820565,sub-31_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.2149375229582654,sub-31_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1678577017318059,sub-31_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1590885955856461,sub-31_task-WordReading_run-01_bold,mm
fd_mean,0.128724032445764,sub-31_task-WordReading_run-02_bold,mm
fd_mean,0.1561020132346427,sub-31_task-WordReading_run-03_bold,mm
fd_mean,0.1773748407039584,sub-31_task-WordReading_run-04_bold,mm
fd_mean,0.2159815483528138,sub-31_task-WordReading_run-05_bold,mm
fd_mean,0.1345011907240122,sub-32_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1228583903966809,sub-32_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1058319138584771,sub-32_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.0970719513571426,sub-32_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1487103535332637,sub-32_task-WordReading_run-01_bold,mm
fd_mean,0.1345935030081497,sub-32_task-WordReading_run-02_bold,mm
fd_mean,0.128561190869705,sub-32_task-WordReading_run-03_bold,mm
fd_mean,0.1556243966948107,sub-32_task-WordReading_run-04_bold,mm
fd_mean,0.1370220989570393,sub-32_task-WordReading_run-05_bold,mm
fd_mean,0.1373796049024672,sub-33_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1273877111661339,sub-33_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1338701943978365,sub-33_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1251929426967465,sub-33_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.2004842436951402,sub-33_task-WordReading_run-01_bold,mm
fd_mean,0.1505023136688499,sub-33_task-WordReading_run-02_bold,mm
fd_mean,0.1950650806337275,sub-33_task-WordReading_run-03_bold,mm
fd_mean,0.2194364354628139,sub-33_task-WordReading_run-04_bold,mm
fd_mean,0.194100032712176,sub-33_task-WordReading_run-05_bold,mm
fd_mean,0.1600176438413913,sub-34_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1479781663453946,sub-34_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1476459009060592,sub-34_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1368268455690672,sub-34_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.3140686296974242,sub-34_task-WordReading_run-01_bold,mm
fd_mean,0.2641730276724757,sub-34_task-WordReading_run-02_bold,mm
fd_mean,0.2337497950009307,sub-34_task-WordReading_run-03_bold,mm
fd_mean,0.2578938781275566,sub-34_task-WordReading_run-04_bold,mm
fd_mean,0.2235264393293654,sub-34_task-WordReading_run-05_bold,mm
fd_mean,0.0952113250694251,sub-35_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1198211938923215,sub-35_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1156777885633182,sub-35_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1157658744459497,sub-35_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1719341365299437,sub-35_task-WordReading_run-01_bold,mm
fd_mean,0.1232685792974416,sub-35_task-WordReading_run-02_bold,mm
fd_mean,0.1202144220146058,sub-35_task-WordReading_run-03_bold,mm
fd_mean,0.123046263798749,sub-35_task-WordReading_run-04_bold,mm
fd_mean,0.1336213650902159,sub-35_task-WordReading_run-05_bold,mm
fd_mean,0.1393854729296663,sub-36_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1533636735861485,sub-36_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1909472365477754,sub-36_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1872056022129366,sub-36_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1891176775018536,sub-36_task-WordReading_run-01_bold,mm
fd_mean,0.1784567840366321,sub-36_task-WordReading_run-02_bold,mm
fd_mean,0.1982616254632424,sub-36_task-WordReading_run-03_bold,mm
fd_mean,0.1895228547648556,sub-36_task-WordReading_run-04_bold,mm
fd_mean,0.1972833475201412,sub-36_task-WordReading_run-05_bold,mm
fd_mean,0.0965920088766226,sub-37_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1093718636212598,sub-37_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1143210928911558,sub-37_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1227947460474109,sub-37_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.159808002445943,sub-37_task-WordReading_run-01_bold,mm
fd_mean,0.1281524186840942,sub-37_task-WordReading_run-02_bold,mm
fd_mean,0.1306568264171176,sub-37_task-WordReading_run-03_bold,mm
fd_mean,0.1393640365648547,sub-37_task-WordReading_run-04_bold,mm
fd_mean,0.1459384096332563,sub-37_task-WordReading_run-05_bold,mm
fd_mean,0.1480387952252179,sub-38_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1819948236094249,sub-38_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.180343819019262,sub-38_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1874245571213981,sub-38_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1545518716769564,sub-38_task-WordReading_run-01_bold,mm
fd_mean,0.174025230071124,sub-38_task-WordReading_run-02_bold,mm
fd_mean,0.1797758358380244,sub-38_task-WordReading_run-03_bold,mm
fd_mean,0.2114341948429596,sub-38_task-WordReading_run-04_bold,mm
fd_mean,0.2811087790823912,sub-38_task-WordReading_run-05_bold,mm
fd_mean,0.1123543057899747,sub-39_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1757605410849305,sub-39_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1074231900505428,sub-39_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1386663737989602,sub-39_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1412235998043405,sub-39_task-WordReading_run-01_bold,mm
fd_mean,0.1291090489819991,sub-39_task-WordReading_run-02_bold,mm
fd_mean,0.1404741251495424,sub-39_task-WordReading_run-03_bold,mm
fd_mean,0.1543822547263108,sub-39_task-WordReading_run-04_bold,mm
fd_mean,0.1387034102534101,sub-39_task-WordReading_run-05_bold,mm
fd_mean,0.1307728163606976,sub-40_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.2227812250922156,sub-40_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.2134609214395432,sub-40_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1565047145913353,sub-40_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.2277664100547492,sub-40_task-WordReading_run-01_bold,mm
fd_mean,0.1862437771683489,sub-40_task-WordReading_run-02_bold,mm
fd_mean,0.1648627458958572,sub-40_task-WordReading_run-03_bold,mm
fd_mean,0.1671246489766346,sub-40_task-WordReading_run-04_bold,mm
fd_mean,0.1740343607498341,sub-40_task-WordReading_run-05_bold,mm
fd_mean,0.1190257147534843,sub-41_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1532410929090674,sub-41_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1042625662411178,sub-41_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.0920362258804177,sub-41_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1141255113739774,sub-41_task-WordReading_run-01_bold,mm
fd_mean,0.1202533915970161,sub-41_task-WordReading_run-02_bold,mm
fd_mean,0.1046284222583288,sub-41_task-WordReading_run-03_bold,mm
fd_mean,0.1044112659193429,sub-41_task-WordReading_run-04_bold,mm
fd_mean,0.1064141169262593,sub-41_task-WordReading_run-05_bold,mm
fd_mean,0.1488560514868753,sub-42_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1414874732741266,sub-42_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1449331810239703,sub-42_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1391952337404749,sub-42_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.2173307648076698,sub-42_task-WordReading_run-01_bold,mm
fd_mean,0.1910638979365984,sub-42_task-WordReading_run-02_bold,mm
fd_mean,0.1893484966937676,sub-42_task-WordReading_run-03_bold,mm
fd_mean,0.1988523643288652,sub-42_task-WordReading_run-04_bold,mm
fd_mean,0.1866900836001749,sub-42_task-WordReading_run-05_bold,mm
fd_mean,0.1889528455446109,sub-43_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.2157075846629599,sub-43_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.2537990291160032,sub-43_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.3724801890713131,sub-43_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1240276618153911,sub-43_task-WordReading_run-01_bold,mm
fd_mean,0.1373301871188607,sub-43_task-WordReading_run-02_bold,mm
fd_mean,0.1572860533441631,sub-43_task-WordReading_run-03_bold,mm
fd_mean,0.1818610740299945,sub-43_task-WordReading_run-04_bold,mm
fd_mean,0.2365365501703922,sub-43_task-WordReading_run-05_bold,mm
fd_mean,0.1146313657784501,sub-44_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1972447997340386,sub-44_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1667071387954163,sub-44_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1550740133504331,sub-44_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1737183128881018,sub-44_task-WordReading_run-01_bold,mm
fd_mean,0.1522835762415085,sub-44_task-WordReading_run-02_bold,mm
fd_mean,0.1407469691710179,sub-44_task-WordReading_run-03_bold,mm
fd_mean,0.1421041852289079,sub-44_task-WordReading_run-04_bold,mm
fd_mean,0.1326803368831259,sub-44_task-WordReading_run-05_bold,mm
fd_mean,0.1677692478652601,sub-45_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1419506521560463,sub-45_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.2842861015420641,sub-45_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.2049151119113307,sub-45_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.2748920574679838,sub-45_task-WordReading_run-01_bold,mm
fd_mean,0.1634136009672551,sub-45_task-WordReading_run-02_bold,mm
fd_mean,0.2061476386352277,sub-45_task-WordReading_run-03_bold,mm
fd_mean,0.2187458577394682,sub-45_task-WordReading_run-04_bold,mm
fd_mean,0.2039394256408211,sub-45_task-WordReading_run-05_bold,mm
fd_mean,0.1970831364870654,sub-46_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1991506109063645,sub-46_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.215665377515083,sub-46_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.2308217197826948,sub-46_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.2125966921486738,sub-46_task-WordReading_run-01_bold,mm
fd_mean,0.2231996688595096,sub-46_task-WordReading_run-02_bold,mm
fd_mean,0.223397830667187,sub-46_task-WordReading_run-03_bold,mm
fd_mean,0.2155941941700223,sub-46_task-WordReading_run-04_bold,mm
fd_mean,0.2057010301026124,sub-46_task-WordReading_run-05_bold,mm
fd_mean,0.1488388947518097,sub-47_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1094300584833892,sub-47_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1187623869324998,sub-47_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1272834512547183,sub-47_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1038532347471858,sub-47_task-WordReading_run-01_bold,mm
fd_mean,0.1388163689302637,sub-47_task-WordReading_run-02_bold,mm
fd_mean,0.1212627708110607,sub-47_task-WordReading_run-03_bold,mm
fd_mean,0.1584643437520287,sub-47_task-WordReading_run-04_bold,mm
fd_mean,0.191191351342128,sub-47_task-WordReading_run-05_bold,mm
fd_mean,0.1347841061863918,sub-48_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1137573537286392,sub-48_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1639428327417276,sub-48_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1328055899164525,sub-48_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1247688274131173,sub-48_task-WordReading_run-01_bold,mm
fd_mean,0.1669661713650368,sub-48_task-WordReading_run-02_bold,mm
fd_mean,0.2172379240250568,sub-48_task-WordReading_run-03_bold,mm
fd_mean,0.1430229370828003,sub-48_task-WordReading_run-04_bold,mm
fd_mean,0.145868724565884,sub-48_task-WordReading_run-05_bold,mm
fd_mean,0.1673467852453625,sub-50_task-ArchiLocalizer_run-01_bold,mm
fd_mean,0.1538138566725093,sub-50_task-StatisticalLearning_run-01_bold,mm
fd_mean,0.1562702888081595,sub-50_task-StatisticalLearning_run-02_bold,mm
fd_mean,0.1826799000004152,sub-50_task-StatisticalLearning_run-03_bold,mm
fd_mean,0.1584595593460116,sub-50_task-WordReading_run-01_bold,mm
fd_mean,0.1834941651706669,sub-50_task-WordReading_run-02_bold,mm
fd_mean,0.1910619542944213,sub-50_task-WordReading_run-03_bold,mm
fd_mean,0.2149076079804382,sub-50_task-WordReading_run-04_bold,mm
fd_mean,0.1760346740589077,sub-50_task-WordReading_run-05_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,7,sub-01_task-ArchiLocalizer_run-01_bold,# timepoints
fd_num,3,sub-01_task-StatisticalLearning_run-01_bold,# timepoints
fd_num,4,sub-01_task-StatisticalLearning_run-02_bold,# timepoints
fd_num,7,sub-01_task-StatisticalLearning_run-03_bold,# timepoints
fd_num,11,sub-01_task-WordReading_run-01_bold,# timepoints
fd_num,9,sub-01_task-WordReading_run-02_bold,# timepoints
fd_num,7,sub-01_task-WordReading_run-03_bold,# timepoints
fd_num,10,sub-01_task-WordReading_run-04_bold,# timepoints
fd_num,4,sub-01_task-WordReading_run-05_bold,# timepoints
fd_num,23,sub-02_task-ArchiLocalizer_run-01_bold,# timepoints
fd_num,19,sub-02_task-StatisticalLearning_run-01_bold,# timepoints
fd_num,17,sub-02_task-StatisticalLearning_run-02_bold,# timepoints
fd_num,16,sub-02_task-StatisticalLearning_run-03_bold,# timepoints
fd_num,70,sub-02_task-WordReading_run-01_bold,# timepoints
fd_num,64,sub-02_task-WordReading_run-02_bold,# timepoints
fd_num,59,sub-02_task-WordReading_run-03_bold,# timepoints
fd_num,55,sub-02_task-WordReading_run-04_bold,# timepoints
fd_num,57,sub-02_task-WordReading_run-05_bold,# timepoints
fd_num,3,sub-03_task-ArchiLocalizer_run-01_bold,# timepoints
fd_num,12,sub-03_task-StatisticalLearning_run-01_bold,# timepoints
fd_num,16,sub-03_task-StatisticalLearning_run-02_bold,# timepoints
fd_num,7,sub-03_task-StatisticalLearning_run-03_bold,# timepoints
fd_num,45,sub-03_task-WordReading_run-01_bold,# timepoints
fd_num,47,sub-03_task-WordReading_run-02_bold,# timepoints
fd_num,31,sub-03_task-WordReading_run-03_bold,# timepoints
fd_num,30,sub-03_task-WordReading_run-04_bold,# timepoints
fd_num,44,sub-03_task-WordReading_run-05_bold,# timepoints
fd_num,11,sub-04_task-ArchiLocalizer_run-01_bold,# timepoints
fd_num,7,sub-04_task-StatisticalLearning_run-01_bold,# timepoints
fd_num,17,sub-04_task-StatisticalLearning_run-02_bold,# timepoints
fd_num,17,sub-04_task-StatisticalLearning_run-03_bold,# timepoints
fd_num,8,sub-04_task-WordReading_run-01_bold,# timepoints
fd_num,21,sub-04_task-WordReading_run-02_bold,# timepoints
fd_num,15,sub-04_task-WordReading_run-03_bold,# timepoints
fd_num,12,sub-04_task-WordReading_run-04_bold,# timepoints
fd_num,11,sub-04_task-WordReading_run-05_bold,# timepoints
fd_num,36,sub-05_task-ArchiLocalizer_run-01_bold,# timepoints
fd_num,66,sub-05_task-StatisticalLearning_run-01_bold,# timepoints
fd_num,72,sub-05_task-StatisticalLearning_run-02_bold,# timepoints
fd_num,86,sub-05_task-StatisticalLearning_run-03_bold,# timepoints
fd_num,156,sub-05_task-WordReading_run-01_bold,# timepoints
fd_num,159,sub-05_task-WordReading_run-02_bold,# timepoints
fd_num,52,sub-05_task-WordReading_run-03_bold,# timepoints
fd_num,94,sub-05_task-WordReading_run-04_bold,# timepoints
fd_num,80,sub-05_task-WordReading_run-05_bold,# timepoints
fd_num,0,sub-06_task-ArchiLocalizer_run-01_bold,# timepoints
fd_num,22,sub-06_task-StatisticalLearning_run-01_bold,# timepoints
fd_num,8,sub-06_task-StatisticalLearning_run-02_bold,# timepoints
fd_num,0,sub-06_task-StatisticalLearning_run-03_bold,# timepoints
fd_num,13,sub-06_task-WordReading_run-01_bold,# timepoints
fd_num,2,sub-06_task-WordReading_run-02_bold,# timepoints
fd_num,1,sub-06_task-WordReading_run-03_bold,# timepoints
fd_num,3,sub-06_task-WordReading_run-04_bold,# timepoints
fd_num,3,sub-06_task-WordReading_run-05_bold,# timepoints
fd_num,37,sub-07_task-ArchiLocalizer_run-01_bold,# timepoints
fd_num,10,sub-07_task-StatisticalLearning_run-01_bold,# timepoints
fd_num,21,sub-07_task-StatisticalLearning_run-02_bold,# timepoints
fd_num,65,sub-07_task-StatisticalLearning_run-03_bold,# timepoints
fd_num,75,sub-07_task-WordReading_run-01_bold,# timepoints
fd_num,53,sub-07_task-WordReading_run-02_bold,# timepoints
fd_num,76,sub-07_task-WordReading_run-03_bold,# timepoints
fd_num,94,sub-07_task-WordReading_run-04_bold,# timepoints
fd_num,106,sub-07_task-WordReading_run-05_bold,# timepoints
fd_num,8,sub-08_task-ArchiLocalizer_run-01_bold,# timepoints
fd_num,25,sub-08_task-StatisticalLearning_run-01_bold,# timepoints
fd_num,10,sub-08_task-StatisticalLearning_run-02_bold,# timepoints
fd_num,17,sub-08_task-StatisticalLearning_run-03_bold,# timepoints
fd_num,71,sub-08_task-WordReading_run-01_bold,# timepoints
fd_num,65,sub-08_task-WordReading_run-02_bold,# timepoints
fd_num,74,sub-08_task-WordReading_run-03_bold,# timepoints
fd_num,66,sub-08_task-WordReading_run-04_bold,# timepoints
fd_num,54,sub-08_task-WordReading_run-05_bold,# timepoints
fd_num,39,sub-09_task-ArchiLocalizer_run-01_bold,# timepoints
fd_num,116,sub-09_task-StatisticalLearning_run-01_bold,# timepoints
fd_num,130,sub-09_task-StatisticalLearning_run-02_bold,# timepoints
fd_num,123,sub-09_task-StatisticalLearning_run-03_bold,# timepoints
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fd_num,59,sub-45_task-ArchiLocalizer_run-01_bold,# timepoints
fd_num,36,sub-45_task-StatisticalLearning_run-01_bold,# timepoints
fd_num,155,sub-45_task-StatisticalLearning_run-02_bold,# timepoints
fd_num,81,sub-45_task-StatisticalLearning_run-03_bold,# timepoints
fd_num,115,sub-45_task-WordReading_run-01_bold,# timepoints
fd_num,58,sub-45_task-WordReading_run-02_bold,# timepoints
fd_num,87,sub-45_task-WordReading_run-03_bold,# timepoints
fd_num,95,sub-45_task-WordReading_run-04_bold,# timepoints
fd_num,85,sub-45_task-WordReading_run-05_bold,# timepoints
fd_num,109,sub-46_task-ArchiLocalizer_run-01_bold,# timepoints
fd_num,113,sub-46_task-StatisticalLearning_run-01_bold,# timepoints
fd_num,131,sub-46_task-StatisticalLearning_run-02_bold,# timepoints
fd_num,138,sub-46_task-StatisticalLearning_run-03_bold,# timepoints
fd_num,105,sub-46_task-WordReading_run-01_bold,# timepoints
fd_num,120,sub-46_task-WordReading_run-02_bold,# timepoints
fd_num,115,sub-46_task-WordReading_run-03_bold,# timepoints
fd_num,114,sub-46_task-WordReading_run-04_bold,# timepoints
fd_num,102,sub-46_task-WordReading_run-05_bold,# timepoints
fd_num,43,sub-47_task-ArchiLocalizer_run-01_bold,# timepoints
fd_num,19,sub-47_task-StatisticalLearning_run-01_bold,# timepoints
fd_num,26,sub-47_task-StatisticalLearning_run-02_bold,# timepoints
fd_num,39,sub-47_task-StatisticalLearning_run-03_bold,# timepoints
fd_num,14,sub-47_task-WordReading_run-01_bold,# timepoints
fd_num,33,sub-47_task-WordReading_run-02_bold,# timepoints
fd_num,27,sub-47_task-WordReading_run-03_bold,# timepoints
fd_num,60,sub-47_task-WordReading_run-04_bold,# timepoints
fd_num,68,sub-47_task-WordReading_run-05_bold,# timepoints
fd_num,33,sub-48_task-ArchiLocalizer_run-01_bold,# timepoints
fd_num,23,sub-48_task-StatisticalLearning_run-01_bold,# timepoints
fd_num,50,sub-48_task-StatisticalLearning_run-02_bold,# timepoints
fd_num,27,sub-48_task-StatisticalLearning_run-03_bold,# timepoints
fd_num,17,sub-48_task-WordReading_run-01_bold,# timepoints
fd_num,46,sub-48_task-WordReading_run-02_bold,# timepoints
fd_num,68,sub-48_task-WordReading_run-03_bold,# timepoints
fd_num,35,sub-48_task-WordReading_run-04_bold,# timepoints
fd_num,50,sub-48_task-WordReading_run-05_bold,# timepoints
fd_num,56,sub-50_task-ArchiLocalizer_run-01_bold,# timepoints
fd_num,51,sub-50_task-StatisticalLearning_run-01_bold,# timepoints
fd_num,64,sub-50_task-StatisticalLearning_run-02_bold,# timepoints
fd_num,101,sub-50_task-StatisticalLearning_run-03_bold,# timepoints
fd_num,53,sub-50_task-WordReading_run-01_bold,# timepoints
fd_num,80,sub-50_task-WordReading_run-02_bold,# timepoints
fd_num,69,sub-50_task-WordReading_run-03_bold,# timepoints
fd_num,100,sub-50_task-WordReading_run-04_bold,# timepoints
fd_num,65,sub-50_task-WordReading_run-05_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,3.004291845493562,sub-01_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,1.271186440677966,sub-01_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,1.702127659574468,sub-01_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,2.978723404255319,sub-01_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,5.392156862745098,sub-01_task-WordReading_run-01_bold,% timepoints
fd_perc,4.433497536945813,sub-01_task-WordReading_run-02_bold,% timepoints
fd_perc,3.4482758620689653,sub-01_task-WordReading_run-03_bold,% timepoints
fd_perc,4.901960784313726,sub-01_task-WordReading_run-04_bold,% timepoints
fd_perc,1.9704433497536944,sub-01_task-WordReading_run-05_bold,% timepoints
fd_perc,9.913793103448276,sub-02_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,8.05084745762712,sub-02_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,7.172995780590718,sub-02_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,6.779661016949152,sub-02_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,34.14634146341464,sub-02_task-WordReading_run-01_bold,% timepoints
fd_perc,31.21951219512195,sub-02_task-WordReading_run-02_bold,% timepoints
fd_perc,28.78048780487805,sub-02_task-WordReading_run-03_bold,% timepoints
fd_perc,26.82926829268293,sub-02_task-WordReading_run-04_bold,% timepoints
fd_perc,27.94117647058824,sub-02_task-WordReading_run-05_bold,% timepoints
fd_perc,1.293103448275862,sub-03_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,5.084745762711864,sub-03_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,6.779661016949152,sub-03_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,2.978723404255319,sub-03_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,22.058823529411764,sub-03_task-WordReading_run-01_bold,% timepoints
fd_perc,23.03921568627451,sub-03_task-WordReading_run-02_bold,% timepoints
fd_perc,15.121951219512194,sub-03_task-WordReading_run-03_bold,% timepoints
fd_perc,14.634146341463415,sub-03_task-WordReading_run-04_bold,% timepoints
fd_perc,21.67487684729064,sub-03_task-WordReading_run-05_bold,% timepoints
fd_perc,4.741379310344827,sub-04_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,2.9535864978902957,sub-04_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,7.172995780590718,sub-04_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,7.203389830508475,sub-04_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,3.902439024390244,sub-04_task-WordReading_run-01_bold,% timepoints
fd_perc,10.24390243902439,sub-04_task-WordReading_run-02_bold,% timepoints
fd_perc,7.352941176470588,sub-04_task-WordReading_run-03_bold,% timepoints
fd_perc,5.853658536585366,sub-04_task-WordReading_run-04_bold,% timepoints
fd_perc,5.392156862745098,sub-04_task-WordReading_run-05_bold,% timepoints
fd_perc,15.450643776824034,sub-05_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,27.848101265822784,sub-05_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,30.37974683544304,sub-05_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,36.28691983122363,sub-05_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,76.09756097560975,sub-05_task-WordReading_run-01_bold,% timepoints
fd_perc,77.5609756097561,sub-05_task-WordReading_run-02_bold,% timepoints
fd_perc,25.365853658536587,sub-05_task-WordReading_run-03_bold,% timepoints
fd_perc,46.07843137254902,sub-05_task-WordReading_run-04_bold,% timepoints
fd_perc,39.02439024390244,sub-05_task-WordReading_run-05_bold,% timepoints
fd_perc,0.0,sub-06_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,9.322033898305085,sub-06_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,3.389830508474576,sub-06_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,0.0,sub-06_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,6.372549019607843,sub-06_task-WordReading_run-01_bold,% timepoints
fd_perc,0.975609756097561,sub-06_task-WordReading_run-02_bold,% timepoints
fd_perc,0.4926108374384236,sub-06_task-WordReading_run-03_bold,% timepoints
fd_perc,1.477832512315271,sub-06_task-WordReading_run-04_bold,% timepoints
fd_perc,1.4705882352941178,sub-06_task-WordReading_run-05_bold,% timepoints
fd_perc,16.017316017316016,sub-07_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,4.237288135593221,sub-07_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,8.974358974358974,sub-07_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,27.54237288135593,sub-07_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,36.58536585365854,sub-07_task-WordReading_run-01_bold,% timepoints
fd_perc,25.853658536585368,sub-07_task-WordReading_run-02_bold,% timepoints
fd_perc,37.073170731707314,sub-07_task-WordReading_run-03_bold,% timepoints
fd_perc,45.85365853658536,sub-07_task-WordReading_run-04_bold,% timepoints
fd_perc,51.96078431372549,sub-07_task-WordReading_run-05_bold,% timepoints
fd_perc,3.463203463203463,sub-08_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,10.72961373390558,sub-08_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,4.25531914893617,sub-08_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,7.203389830508475,sub-08_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,34.63414634146341,sub-08_task-WordReading_run-01_bold,% timepoints
fd_perc,31.862745098039216,sub-08_task-WordReading_run-02_bold,% timepoints
fd_perc,36.27450980392157,sub-08_task-WordReading_run-03_bold,% timepoints
fd_perc,32.35294117647059,sub-08_task-WordReading_run-04_bold,% timepoints
fd_perc,26.47058823529412,sub-08_task-WordReading_run-05_bold,% timepoints
fd_perc,16.883116883116884,sub-09_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,48.9451476793249,sub-09_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,55.08474576271186,sub-09_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,52.11864406779661,sub-09_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,33.333333333333336,sub-09_task-WordReading_run-01_bold,% timepoints
fd_perc,24.63054187192118,sub-09_task-WordReading_run-02_bold,% timepoints
fd_perc,23.15270935960591,sub-09_task-WordReading_run-03_bold,% timepoints
fd_perc,29.064039408867,sub-09_task-WordReading_run-04_bold,% timepoints
fd_perc,31.527093596059117,sub-09_task-WordReading_run-05_bold,% timepoints
fd_perc,16.738197424892704,sub-10_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,21.09704641350211,sub-10_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,32.48945147679325,sub-10_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,8.438818565400844,sub-10_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,18.04878048780488,sub-10_task-WordReading_run-01_bold,% timepoints
fd_perc,45.85365853658536,sub-10_task-WordReading_run-02_bold,% timepoints
fd_perc,48.29268292682927,sub-10_task-WordReading_run-03_bold,% timepoints
fd_perc,35.1219512195122,sub-10_task-WordReading_run-04_bold,% timepoints
fd_perc,24.390243902439025,sub-10_task-WordReading_run-05_bold,% timepoints
fd_perc,1.2875536480686696,sub-11_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,0.423728813559322,sub-11_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,3.8135593220338975,sub-11_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,10.169491525423728,sub-11_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,2.450980392156863,sub-11_task-WordReading_run-01_bold,% timepoints
fd_perc,1.951219512195122,sub-11_task-WordReading_run-02_bold,% timepoints
fd_perc,10.24390243902439,sub-11_task-WordReading_run-03_bold,% timepoints
fd_perc,10.24390243902439,sub-11_task-WordReading_run-04_bold,% timepoints
fd_perc,10.344827586206897,sub-11_task-WordReading_run-05_bold,% timepoints
fd_perc,4.291845493562231,sub-12_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,11.016949152542374,sub-12_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,9.090909090909092,sub-12_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,6.329113924050633,sub-12_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,23.529411764705884,sub-12_task-WordReading_run-01_bold,% timepoints
fd_perc,6.829268292682927,sub-12_task-WordReading_run-02_bold,% timepoints
fd_perc,17.733990147783253,sub-12_task-WordReading_run-03_bold,% timepoints
fd_perc,9.268292682926829,sub-12_task-WordReading_run-04_bold,% timepoints
fd_perc,2.4390243902439024,sub-12_task-WordReading_run-05_bold,% timepoints
fd_perc,1.7167381974248928,sub-13_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,13.50210970464135,sub-13_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,4.641350210970464,sub-13_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,5.063291139240507,sub-13_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,9.75609756097561,sub-13_task-WordReading_run-01_bold,% timepoints
fd_perc,7.804878048780488,sub-13_task-WordReading_run-02_bold,% timepoints
fd_perc,8.292682926829269,sub-13_task-WordReading_run-03_bold,% timepoints
fd_perc,8.292682926829269,sub-13_task-WordReading_run-04_bold,% timepoints
fd_perc,8.292682926829269,sub-13_task-WordReading_run-05_bold,% timepoints
fd_perc,0.0,sub-14_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,0.847457627118644,sub-14_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,0.0,sub-14_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,0.8438818565400844,sub-14_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,0.9852216748768472,sub-14_task-WordReading_run-01_bold,% timepoints
fd_perc,0.4926108374384236,sub-14_task-WordReading_run-02_bold,% timepoints
fd_perc,0.975609756097561,sub-14_task-WordReading_run-03_bold,% timepoints
fd_perc,0.0,sub-14_task-WordReading_run-04_bold,% timepoints
fd_perc,0.0,sub-14_task-WordReading_run-05_bold,% timepoints
fd_perc,36.05150214592275,sub-15_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,45.33898305084746,sub-15_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,41.77215189873418,sub-15_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,48.9451476793249,sub-15_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,23.414634146341463,sub-15_task-WordReading_run-01_bold,% timepoints
fd_perc,21.951219512195124,sub-15_task-WordReading_run-02_bold,% timepoints
fd_perc,48.78048780487805,sub-15_task-WordReading_run-03_bold,% timepoints
fd_perc,56.09756097560975,sub-15_task-WordReading_run-04_bold,% timepoints
fd_perc,60.0,sub-15_task-WordReading_run-05_bold,% timepoints
fd_perc,16.810344827586206,sub-16_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,14.767932489451477,sub-16_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,10.970464135021096,sub-16_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,16.949152542372882,sub-16_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,24.01960784313725,sub-16_task-WordReading_run-01_bold,% timepoints
fd_perc,14.215686274509803,sub-16_task-WordReading_run-02_bold,% timepoints
fd_perc,17.15686274509804,sub-16_task-WordReading_run-03_bold,% timepoints
fd_perc,15.609756097560975,sub-16_task-WordReading_run-04_bold,% timepoints
fd_perc,12.195121951219512,sub-16_task-WordReading_run-05_bold,% timepoints
fd_perc,3.8793103448275854,sub-17_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,13.080168776371307,sub-17_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,18.9873417721519,sub-17_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,20.253164556962027,sub-17_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,11.27450980392157,sub-17_task-WordReading_run-01_bold,% timepoints
fd_perc,10.731707317073171,sub-17_task-WordReading_run-02_bold,% timepoints
fd_perc,16.176470588235293,sub-17_task-WordReading_run-03_bold,% timepoints
fd_perc,10.731707317073171,sub-17_task-WordReading_run-04_bold,% timepoints
fd_perc,15.121951219512194,sub-17_task-WordReading_run-05_bold,% timepoints
fd_perc,13.043478260869565,sub-18_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,7.627118644067797,sub-18_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,7.23404255319149,sub-18_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,12.82051282051282,sub-18_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,19.704433497536947,sub-18_task-WordReading_run-01_bold,% timepoints
fd_perc,23.03921568627451,sub-18_task-WordReading_run-02_bold,% timepoints
fd_perc,25.247524752475247,sub-18_task-WordReading_run-03_bold,% timepoints
fd_perc,33.004926108374384,sub-18_task-WordReading_run-04_bold,% timepoints
fd_perc,21.568627450980397,sub-18_task-WordReading_run-05_bold,% timepoints
fd_perc,6.008583690987124,sub-19_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,2.1186440677966103,sub-19_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,1.6877637130801688,sub-19_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,0.423728813559322,sub-19_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,0.4878048780487805,sub-19_task-WordReading_run-01_bold,% timepoints
fd_perc,1.96078431372549,sub-19_task-WordReading_run-02_bold,% timepoints
fd_perc,2.450980392156863,sub-19_task-WordReading_run-03_bold,% timepoints
fd_perc,2.450980392156863,sub-19_task-WordReading_run-04_bold,% timepoints
fd_perc,2.4390243902439024,sub-19_task-WordReading_run-05_bold,% timepoints
fd_perc,1.2875536480686696,sub-20_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,3.389830508474576,sub-20_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,7.172995780590718,sub-20_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,0.423728813559322,sub-20_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,28.78048780487805,sub-20_task-WordReading_run-01_bold,% timepoints
fd_perc,15.609756097560975,sub-20_task-WordReading_run-02_bold,% timepoints
fd_perc,21.463414634146343,sub-20_task-WordReading_run-03_bold,% timepoints
fd_perc,21.951219512195124,sub-20_task-WordReading_run-04_bold,% timepoints
fd_perc,11.764705882352942,sub-20_task-WordReading_run-05_bold,% timepoints
fd_perc,29.6137339055794,sub-21_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,2.9535864978902957,sub-21_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,13.50210970464135,sub-21_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,6.008583690987124,sub-21_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,8.333333333333334,sub-21_task-WordReading_run-01_bold,% timepoints
fd_perc,3.431372549019608,sub-21_task-WordReading_run-02_bold,% timepoints
fd_perc,5.853658536585366,sub-21_task-WordReading_run-03_bold,% timepoints
fd_perc,2.9411764705882355,sub-21_task-WordReading_run-04_bold,% timepoints
fd_perc,4.878048780487805,sub-21_task-WordReading_run-05_bold,% timepoints
fd_perc,2.575107296137339,sub-22_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,0.0,sub-22_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,0.0,sub-22_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,0.0,sub-22_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,0.0,sub-22_task-WordReading_run-01_bold,% timepoints
fd_perc,0.0,sub-22_task-WordReading_run-02_bold,% timepoints
fd_perc,0.0,sub-22_task-WordReading_run-03_bold,% timepoints
fd_perc,0.4878048780487805,sub-22_task-WordReading_run-04_bold,% timepoints
fd_perc,0.4878048780487805,sub-22_task-WordReading_run-05_bold,% timepoints
fd_perc,2.145922746781116,sub-23_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,3.3755274261603376,sub-23_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,2.1186440677966103,sub-23_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,2.9661016949152543,sub-23_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,9.268292682926829,sub-23_task-WordReading_run-01_bold,% timepoints
fd_perc,3.414634146341464,sub-23_task-WordReading_run-02_bold,% timepoints
fd_perc,4.390243902439025,sub-23_task-WordReading_run-03_bold,% timepoints
fd_perc,1.4634146341463414,sub-23_task-WordReading_run-04_bold,% timepoints
fd_perc,0.975609756097561,sub-23_task-WordReading_run-05_bold,% timepoints
fd_perc,3.862660944206009,sub-24_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,2.9535864978902957,sub-24_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,6.410256410256411,sub-24_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,5.531914893617022,sub-24_task-StatisticalLearning_run-03_bold,% timepoints
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fd_perc,22.4390243902439,sub-24_task-WordReading_run-03_bold,% timepoints
fd_perc,20.97560975609756,sub-24_task-WordReading_run-04_bold,% timepoints
fd_perc,30.049261083743843,sub-24_task-WordReading_run-05_bold,% timepoints
fd_perc,4.310344827586207,sub-25_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,8.085106382978724,sub-25_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,15.74468085106383,sub-25_task-StatisticalLearning_run-02_bold,% timepoints
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fd_perc,9.31372549019608,sub-25_task-WordReading_run-02_bold,% timepoints
fd_perc,11.822660098522167,sub-25_task-WordReading_run-03_bold,% timepoints
fd_perc,8.910891089108912,sub-25_task-WordReading_run-04_bold,% timepoints
fd_perc,7.352941176470588,sub-25_task-WordReading_run-05_bold,% timepoints
fd_perc,3.433476394849785,sub-26_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,5.172413793103448,sub-26_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,3.79746835443038,sub-26_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,6.779661016949152,sub-26_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,17.073170731707318,sub-26_task-WordReading_run-01_bold,% timepoints
fd_perc,25.853658536585368,sub-26_task-WordReading_run-02_bold,% timepoints
fd_perc,33.65853658536585,sub-26_task-WordReading_run-03_bold,% timepoints
fd_perc,42.4390243902439,sub-26_task-WordReading_run-04_bold,% timepoints
fd_perc,19.607843137254903,sub-26_task-WordReading_run-05_bold,% timepoints
fd_perc,26.724137931034484,sub-27_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,32.91139240506329,sub-27_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,18.64406779661017,sub-27_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,31.779661016949152,sub-27_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,51.47058823529412,sub-27_task-WordReading_run-01_bold,% timepoints
fd_perc,36.27450980392157,sub-27_task-WordReading_run-02_bold,% timepoints
fd_perc,41.1764705882353,sub-27_task-WordReading_run-03_bold,% timepoints
fd_perc,38.72549019607843,sub-27_task-WordReading_run-04_bold,% timepoints
fd_perc,46.5686274509804,sub-27_task-WordReading_run-05_bold,% timepoints
fd_perc,10.72961373390558,sub-28_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,35.0210970464135,sub-28_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,32.91139240506329,sub-28_task-StatisticalLearning_run-02_bold,% timepoints
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fd_perc,38.23529411764706,sub-28_task-WordReading_run-01_bold,% timepoints
fd_perc,31.21951219512195,sub-28_task-WordReading_run-02_bold,% timepoints
fd_perc,39.70588235294117,sub-28_task-WordReading_run-03_bold,% timepoints
fd_perc,37.073170731707314,sub-28_task-WordReading_run-04_bold,% timepoints
fd_perc,50.73170731707317,sub-28_task-WordReading_run-05_bold,% timepoints
fd_perc,2.586206896551724,sub-29_task-ArchiLocalizer_run-01_bold,% timepoints
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fd_perc,33.333333333333336,sub-31_task-ArchiLocalizer_run-01_bold,% timepoints
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fd_perc,8.15450643776824,sub-40_task-ArchiLocalizer_run-01_bold,% timepoints
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fd_perc,3.862660944206009,sub-41_task-ArchiLocalizer_run-01_bold,% timepoints
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fd_perc,3.92156862745098,sub-41_task-WordReading_run-01_bold,% timepoints
fd_perc,9.31372549019608,sub-41_task-WordReading_run-02_bold,% timepoints
fd_perc,2.450980392156863,sub-41_task-WordReading_run-03_bold,% timepoints
fd_perc,0.99009900990099,sub-41_task-WordReading_run-04_bold,% timepoints
fd_perc,0.9803921568627452,sub-41_task-WordReading_run-05_bold,% timepoints
fd_perc,23.605150214592275,sub-42_task-ArchiLocalizer_run-01_bold,% timepoints
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fd_perc,46.829268292682926,sub-42_task-WordReading_run-04_bold,% timepoints
fd_perc,40.48780487804878,sub-42_task-WordReading_run-05_bold,% timepoints
fd_perc,17.316017316017316,sub-43_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,43.22033898305085,sub-43_task-StatisticalLearning_run-01_bold,% timepoints
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fd_perc,4.390243902439025,sub-43_task-WordReading_run-01_bold,% timepoints
fd_perc,12.31527093596059,sub-43_task-WordReading_run-02_bold,% timepoints
fd_perc,25.853658536585368,sub-43_task-WordReading_run-03_bold,% timepoints
fd_perc,28.29268292682927,sub-43_task-WordReading_run-04_bold,% timepoints
fd_perc,47.02970297029703,sub-43_task-WordReading_run-05_bold,% timepoints
fd_perc,3.004291845493562,sub-44_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,31.64556962025317,sub-44_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,24.47257383966245,sub-44_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,21.610169491525426,sub-44_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,32.68292682926829,sub-44_task-WordReading_run-01_bold,% timepoints
fd_perc,20.97560975609756,sub-44_task-WordReading_run-02_bold,% timepoints
fd_perc,13.170731707317072,sub-44_task-WordReading_run-03_bold,% timepoints
fd_perc,17.073170731707318,sub-44_task-WordReading_run-04_bold,% timepoints
fd_perc,6.829268292682927,sub-44_task-WordReading_run-05_bold,% timepoints
fd_perc,25.321888412017167,sub-45_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,15.189873417721518,sub-45_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,65.40084388185655,sub-45_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,34.177215189873415,sub-45_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,56.372549019607845,sub-45_task-WordReading_run-01_bold,% timepoints
fd_perc,28.29268292682927,sub-45_task-WordReading_run-02_bold,% timepoints
fd_perc,42.64705882352941,sub-45_task-WordReading_run-03_bold,% timepoints
fd_perc,46.34146341463415,sub-45_task-WordReading_run-04_bold,% timepoints
fd_perc,41.87192118226601,sub-45_task-WordReading_run-05_bold,% timepoints
fd_perc,46.78111587982833,sub-46_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,47.67932489451477,sub-46_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,56.223175965665234,sub-46_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,58.22784810126582,sub-46_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,51.21951219512195,sub-46_task-WordReading_run-01_bold,% timepoints
fd_perc,59.11330049261084,sub-46_task-WordReading_run-02_bold,% timepoints
fd_perc,56.372549019607845,sub-46_task-WordReading_run-03_bold,% timepoints
fd_perc,55.88235294117647,sub-46_task-WordReading_run-04_bold,% timepoints
fd_perc,50.495049504950494,sub-46_task-WordReading_run-05_bold,% timepoints
fd_perc,18.53448275862069,sub-47_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,8.016877637130802,sub-47_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,11.063829787234043,sub-47_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,16.595744680851062,sub-47_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,6.829268292682927,sub-47_task-WordReading_run-01_bold,% timepoints
fd_perc,16.097560975609756,sub-47_task-WordReading_run-02_bold,% timepoints
fd_perc,13.300492610837438,sub-47_task-WordReading_run-03_bold,% timepoints
fd_perc,29.41176470588235,sub-47_task-WordReading_run-04_bold,% timepoints
fd_perc,33.170731707317074,sub-47_task-WordReading_run-05_bold,% timepoints
fd_perc,14.163090128755364,sub-48_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,9.70464135021097,sub-48_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,21.09704641350211,sub-48_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,11.39240506329114,sub-48_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,8.292682926829269,sub-48_task-WordReading_run-01_bold,% timepoints
fd_perc,22.4390243902439,sub-48_task-WordReading_run-02_bold,% timepoints
fd_perc,33.170731707317074,sub-48_task-WordReading_run-03_bold,% timepoints
fd_perc,17.073170731707318,sub-48_task-WordReading_run-04_bold,% timepoints
fd_perc,24.50980392156863,sub-48_task-WordReading_run-05_bold,% timepoints
fd_perc,24.347826086956523,sub-50_task-ArchiLocalizer_run-01_bold,% timepoints
fd_perc,21.518987341772156,sub-50_task-StatisticalLearning_run-01_bold,% timepoints
fd_perc,27.0042194092827,sub-50_task-StatisticalLearning_run-02_bold,% timepoints
fd_perc,42.97872340425532,sub-50_task-StatisticalLearning_run-03_bold,% timepoints
fd_perc,25.980392156862745,sub-50_task-WordReading_run-01_bold,% timepoints
fd_perc,39.02439024390244,sub-50_task-WordReading_run-02_bold,% timepoints
fd_perc,33.65853658536585,sub-50_task-WordReading_run-03_bold,% timepoints
fd_perc,48.78048780487805,sub-50_task-WordReading_run-04_bold,% timepoints
fd_perc,31.70731707317073,sub-50_task-WordReading_run-05_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,0,sub-01_task-ArchiLocalizer_run-01_bold,# TRs
dummy_trs,1,sub-01_task-StatisticalLearning_run-01_bold,# TRs
dummy_trs,2,sub-01_task-StatisticalLearning_run-02_bold,# TRs
dummy_trs,2,sub-01_task-StatisticalLearning_run-03_bold,# TRs
dummy_trs,1,sub-01_task-WordReading_run-01_bold,# TRs
dummy_trs,2,sub-01_task-WordReading_run-02_bold,# TRs
dummy_trs,2,sub-01_task-WordReading_run-03_bold,# TRs
dummy_trs,1,sub-01_task-WordReading_run-04_bold,# TRs
dummy_trs,2,sub-01_task-WordReading_run-05_bold,# TRs
dummy_trs,1,sub-02_task-ArchiLocalizer_run-01_bold,# TRs
dummy_trs,1,sub-02_task-StatisticalLearning_run-01_bold,# TRs
dummy_trs,0,sub-02_task-StatisticalLearning_run-02_bold,# TRs
dummy_trs,1,sub-02_task-StatisticalLearning_run-03_bold,# TRs
dummy_trs,0,sub-02_task-WordReading_run-01_bold,# TRs
dummy_trs,0,sub-02_task-WordReading_run-02_bold,# TRs
dummy_trs,0,sub-02_task-WordReading_run-03_bold,# TRs
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dummy_trs,0,sub-37_task-ArchiLocalizer_run-01_bold,# TRs
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dummy_trs,0,sub-37_task-StatisticalLearning_run-02_bold,# TRs
dummy_trs,0,sub-37_task-StatisticalLearning_run-03_bold,# TRs
dummy_trs,0,sub-37_task-WordReading_run-01_bold,# TRs
dummy_trs,1,sub-37_task-WordReading_run-02_bold,# TRs
dummy_trs,1,sub-37_task-WordReading_run-03_bold,# TRs
dummy_trs,0,sub-37_task-WordReading_run-04_bold,# TRs
dummy_trs,0,sub-37_task-WordReading_run-05_bold,# TRs
dummy_trs,2,sub-38_task-ArchiLocalizer_run-01_bold,# TRs
dummy_trs,0,sub-38_task-StatisticalLearning_run-01_bold,# TRs
dummy_trs,1,sub-38_task-StatisticalLearning_run-02_bold,# TRs
dummy_trs,0,sub-38_task-StatisticalLearning_run-03_bold,# TRs
dummy_trs,1,sub-38_task-WordReading_run-01_bold,# TRs
dummy_trs,1,sub-38_task-WordReading_run-02_bold,# TRs
dummy_trs,0,sub-38_task-WordReading_run-03_bold,# TRs
dummy_trs,2,sub-38_task-WordReading_run-04_bold,# TRs
dummy_trs,0,sub-38_task-WordReading_run-05_bold,# TRs
dummy_trs,1,sub-39_task-ArchiLocalizer_run-01_bold,# TRs
dummy_trs,1,sub-39_task-StatisticalLearning_run-01_bold,# TRs
dummy_trs,1,sub-39_task-StatisticalLearning_run-02_bold,# TRs
dummy_trs,2,sub-39_task-StatisticalLearning_run-03_bold,# TRs
dummy_trs,2,sub-39_task-WordReading_run-01_bold,# TRs
dummy_trs,0,sub-39_task-WordReading_run-02_bold,# TRs
dummy_trs,1,sub-39_task-WordReading_run-03_bold,# TRs
dummy_trs,0,sub-39_task-WordReading_run-04_bold,# TRs
dummy_trs,1,sub-39_task-WordReading_run-05_bold,# TRs
dummy_trs,0,sub-40_task-ArchiLocalizer_run-01_bold,# TRs
dummy_trs,0,sub-40_task-StatisticalLearning_run-01_bold,# TRs
dummy_trs,0,sub-40_task-StatisticalLearning_run-02_bold,# TRs
dummy_trs,0,sub-40_task-StatisticalLearning_run-03_bold,# TRs
dummy_trs,0,sub-40_task-WordReading_run-01_bold,# TRs
dummy_trs,0,sub-40_task-WordReading_run-02_bold,# TRs
dummy_trs,1,sub-40_task-WordReading_run-03_bold,# TRs
dummy_trs,1,sub-40_task-WordReading_run-04_bold,# TRs
dummy_trs,0,sub-40_task-WordReading_run-05_bold,# TRs
dummy_trs,0,sub-41_task-ArchiLocalizer_run-01_bold,# TRs
dummy_trs,1,sub-41_task-StatisticalLearning_run-01_bold,# TRs
dummy_trs,1,sub-41_task-StatisticalLearning_run-02_bold,# TRs
dummy_trs,3,sub-41_task-StatisticalLearning_run-03_bold,# TRs
dummy_trs,1,sub-41_task-WordReading_run-01_bold,# TRs
dummy_trs,1,sub-41_task-WordReading_run-02_bold,# TRs
dummy_trs,1,sub-41_task-WordReading_run-03_bold,# TRs
dummy_trs,3,sub-41_task-WordReading_run-04_bold,# TRs
dummy_trs,1,sub-41_task-WordReading_run-05_bold,# TRs
dummy_trs,0,sub-42_task-ArchiLocalizer_run-01_bold,# TRs
dummy_trs,0,sub-42_task-StatisticalLearning_run-01_bold,# TRs
dummy_trs,0,sub-42_task-StatisticalLearning_run-02_bold,# TRs
dummy_trs,0,sub-42_task-StatisticalLearning_run-03_bold,# TRs
dummy_trs,0,sub-42_task-WordReading_run-01_bold,# TRs
dummy_trs,0,sub-42_task-WordReading_run-02_bold,# TRs
dummy_trs,0,sub-42_task-WordReading_run-03_bold,# TRs
dummy_trs,0,sub-42_task-WordReading_run-04_bold,# TRs
dummy_trs,0,sub-42_task-WordReading_run-05_bold,# TRs
dummy_trs,2,sub-43_task-ArchiLocalizer_run-01_bold,# TRs
dummy_trs,1,sub-43_task-StatisticalLearning_run-01_bold,# TRs
dummy_trs,2,sub-43_task-StatisticalLearning_run-02_bold,# TRs
dummy_trs,0,sub-43_task-StatisticalLearning_run-03_bold,# TRs
dummy_trs,0,sub-43_task-WordReading_run-01_bold,# TRs
dummy_trs,2,sub-43_task-WordReading_run-02_bold,# TRs
dummy_trs,0,sub-43_task-WordReading_run-03_bold,# TRs
dummy_trs,0,sub-43_task-WordReading_run-04_bold,# TRs
dummy_trs,3,sub-43_task-WordReading_run-05_bold,# TRs
dummy_trs,0,sub-44_task-ArchiLocalizer_run-01_bold,# TRs
dummy_trs,0,sub-44_task-StatisticalLearning_run-01_bold,# TRs
dummy_trs,0,sub-44_task-StatisticalLearning_run-02_bold,# TRs
dummy_trs,1,sub-44_task-StatisticalLearning_run-03_bold,# TRs
dummy_trs,0,sub-44_task-WordReading_run-01_bold,# TRs
dummy_trs,0,sub-44_task-WordReading_run-02_bold,# TRs
dummy_trs,0,sub-44_task-WordReading_run-03_bold,# TRs
dummy_trs,0,sub-44_task-WordReading_run-04_bold,# TRs
dummy_trs,0,sub-44_task-WordReading_run-05_bold,# TRs
dummy_trs,0,sub-45_task-ArchiLocalizer_run-01_bold,# TRs
dummy_trs,0,sub-45_task-StatisticalLearning_run-01_bold,# TRs
dummy_trs,0,sub-45_task-StatisticalLearning_run-02_bold,# TRs
dummy_trs,0,sub-45_task-StatisticalLearning_run-03_bold,# TRs
dummy_trs,1,sub-45_task-WordReading_run-01_bold,# TRs
dummy_trs,0,sub-45_task-WordReading_run-02_bold,# TRs
dummy_trs,1,sub-45_task-WordReading_run-03_bold,# TRs
dummy_trs,0,sub-45_task-WordReading_run-04_bold,# TRs
dummy_trs,2,sub-45_task-WordReading_run-05_bold,# TRs
dummy_trs,0,sub-46_task-ArchiLocalizer_run-01_bold,# TRs
dummy_trs,0,sub-46_task-StatisticalLearning_run-01_bold,# TRs
dummy_trs,4,sub-46_task-StatisticalLearning_run-02_bold,# TRs
dummy_trs,0,sub-46_task-StatisticalLearning_run-03_bold,# TRs
dummy_trs,0,sub-46_task-WordReading_run-01_bold,# TRs
dummy_trs,2,sub-46_task-WordReading_run-02_bold,# TRs
dummy_trs,1,sub-46_task-WordReading_run-03_bold,# TRs
dummy_trs,1,sub-46_task-WordReading_run-04_bold,# TRs
dummy_trs,3,sub-46_task-WordReading_run-05_bold,# TRs
dummy_trs,1,sub-47_task-ArchiLocalizer_run-01_bold,# TRs
dummy_trs,0,sub-47_task-StatisticalLearning_run-01_bold,# TRs
dummy_trs,2,sub-47_task-StatisticalLearning_run-02_bold,# TRs
dummy_trs,2,sub-47_task-StatisticalLearning_run-03_bold,# TRs
dummy_trs,0,sub-47_task-WordReading_run-01_bold,# TRs
dummy_trs,0,sub-47_task-WordReading_run-02_bold,# TRs
dummy_trs,2,sub-47_task-WordReading_run-03_bold,# TRs
dummy_trs,1,sub-47_task-WordReading_run-04_bold,# TRs
dummy_trs,0,sub-47_task-WordReading_run-05_bold,# TRs
dummy_trs,0,sub-48_task-ArchiLocalizer_run-01_bold,# TRs
dummy_trs,0,sub-48_task-StatisticalLearning_run-01_bold,# TRs
dummy_trs,0,sub-48_task-StatisticalLearning_run-02_bold,# TRs
dummy_trs,0,sub-48_task-StatisticalLearning_run-03_bold,# TRs
dummy_trs,0,sub-48_task-WordReading_run-01_bold,# TRs
dummy_trs,0,sub-48_task-WordReading_run-02_bold,# TRs
dummy_trs,0,sub-48_task-WordReading_run-03_bold,# TRs
dummy_trs,0,sub-48_task-WordReading_run-04_bold,# TRs
dummy_trs,1,sub-48_task-WordReading_run-05_bold,# TRs
dummy_trs,3,sub-50_task-ArchiLocalizer_run-01_bold,# TRs
dummy_trs,0,sub-50_task-StatisticalLearning_run-01_bold,# TRs
dummy_trs,0,sub-50_task-StatisticalLearning_run-02_bold,# TRs
dummy_trs,2,sub-50_task-StatisticalLearning_run-03_bold,# TRs
dummy_trs,1,sub-50_task-WordReading_run-01_bold,# TRs
dummy_trs,0,sub-50_task-WordReading_run-02_bold,# TRs
dummy_trs,0,sub-50_task-WordReading_run-03_bold,# TRs
dummy_trs,0,sub-50_task-WordReading_run-04_bold,# TRs
dummy_trs,0,sub-50_task-WordReading_run-05_bold,# TRs
</pre>
<div class="chart-wrapper" id="chart-group11"></div>
<pre class="csvdata" id="data-csv11" style="display: none">
iqm,value,label,units
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gcor,0.00919078,sub-02_task-WordReading_run-03_bold,
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gcor,0.00411354,sub-03_task-ArchiLocalizer_run-01_bold,
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gcor,0.00550111,sub-03_task-WordReading_run-02_bold,
gcor,0.0102074,sub-03_task-WordReading_run-03_bold,
gcor,0.00412922,sub-03_task-WordReading_run-04_bold,
gcor,0.00737521,sub-03_task-WordReading_run-05_bold,
gcor,0.00184401,sub-04_task-ArchiLocalizer_run-01_bold,
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gcor,0.00365716,sub-04_task-WordReading_run-01_bold,
gcor,0.00361074,sub-04_task-WordReading_run-02_bold,
gcor,0.00382053,sub-04_task-WordReading_run-03_bold,
gcor,0.00430166,sub-04_task-WordReading_run-04_bold,
gcor,0.00419709,sub-04_task-WordReading_run-05_bold,
gcor,0.00370255,sub-05_task-ArchiLocalizer_run-01_bold,
gcor,0.00186534,sub-05_task-StatisticalLearning_run-01_bold,
gcor,0.00583834,sub-05_task-StatisticalLearning_run-02_bold,
gcor,0.00349101,sub-05_task-StatisticalLearning_run-03_bold,
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gcor,0.00265839,sub-06_task-ArchiLocalizer_run-01_bold,
gcor,0.00260985,sub-06_task-StatisticalLearning_run-01_bold,
gcor,0.00205075,sub-06_task-StatisticalLearning_run-02_bold,
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gcor,0.00435465,sub-06_task-WordReading_run-01_bold,
gcor,0.00567465,sub-06_task-WordReading_run-02_bold,
gcor,0.00976746,sub-06_task-WordReading_run-03_bold,
gcor,0.00722956,sub-06_task-WordReading_run-04_bold,
gcor,0.00738162,sub-06_task-WordReading_run-05_bold,
gcor,0.00305689,sub-07_task-ArchiLocalizer_run-01_bold,
gcor,0.00292276,sub-07_task-StatisticalLearning_run-01_bold,
gcor,0.00319101,sub-07_task-StatisticalLearning_run-02_bold,
gcor,0.00312654,sub-07_task-StatisticalLearning_run-03_bold,
gcor,0.00221037,sub-07_task-WordReading_run-01_bold,
gcor,0.00432418,sub-07_task-WordReading_run-02_bold,
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gcor,0.00359235,sub-07_task-WordReading_run-04_bold,
gcor,0.00270817,sub-07_task-WordReading_run-05_bold,
gcor,0.00229822,sub-08_task-ArchiLocalizer_run-01_bold,
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gcor,0.00258999,sub-10_task-ArchiLocalizer_run-01_bold,
gcor,0.0104078,sub-10_task-StatisticalLearning_run-01_bold,
gcor,0.00939012,sub-10_task-StatisticalLearning_run-02_bold,
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gcor,0.00503797,sub-11_task-WordReading_run-05_bold,
gcor,0.00532495,sub-12_task-ArchiLocalizer_run-01_bold,
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gcor,0.0135143,sub-12_task-StatisticalLearning_run-02_bold,
gcor,0.0106431,sub-12_task-StatisticalLearning_run-03_bold,
gcor,0.00232978,sub-12_task-WordReading_run-01_bold,
gcor,0.00657857,sub-12_task-WordReading_run-02_bold,
gcor,0.00435189,sub-12_task-WordReading_run-03_bold,
gcor,0.0122956,sub-12_task-WordReading_run-04_bold,
gcor,0.0344096,sub-12_task-WordReading_run-05_bold,
gcor,0.00462573,sub-13_task-ArchiLocalizer_run-01_bold,
gcor,0.00386044,sub-13_task-StatisticalLearning_run-01_bold,
gcor,0.00671022,sub-13_task-StatisticalLearning_run-02_bold,
gcor,0.0064464,sub-13_task-StatisticalLearning_run-03_bold,
gcor,0.00547052,sub-13_task-WordReading_run-01_bold,
gcor,0.00291182,sub-13_task-WordReading_run-02_bold,
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gcor,0.00520905,sub-13_task-WordReading_run-05_bold,
gcor,0.00280936,sub-14_task-ArchiLocalizer_run-01_bold,
gcor,0.00162807,sub-14_task-StatisticalLearning_run-01_bold,
gcor,0.0029245,sub-14_task-StatisticalLearning_run-02_bold,
gcor,0.00433508,sub-14_task-StatisticalLearning_run-03_bold,
gcor,0.0017786,sub-14_task-WordReading_run-01_bold,
gcor,0.00253116,sub-14_task-WordReading_run-02_bold,
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gcor,0.00938301,sub-15_task-ArchiLocalizer_run-01_bold,
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gcor,0.0198431,sub-17_task-StatisticalLearning_run-02_bold,
gcor,0.016948,sub-17_task-StatisticalLearning_run-03_bold,
gcor,0.00830732,sub-17_task-WordReading_run-01_bold,
gcor,0.0130755,sub-17_task-WordReading_run-02_bold,
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gcor,0.00140487,sub-18_task-ArchiLocalizer_run-01_bold,
gcor,0.00218059,sub-18_task-StatisticalLearning_run-01_bold,
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gcor,0.00589484,sub-18_task-StatisticalLearning_run-03_bold,
gcor,0.00374903,sub-18_task-WordReading_run-01_bold,
gcor,0.00679221,sub-18_task-WordReading_run-02_bold,
gcor,0.00599831,sub-18_task-WordReading_run-03_bold,
gcor,0.00628061,sub-18_task-WordReading_run-04_bold,
gcor,0.00514761,sub-18_task-WordReading_run-05_bold,
gcor,0.00436622,sub-19_task-ArchiLocalizer_run-01_bold,
gcor,0.00274935,sub-19_task-StatisticalLearning_run-01_bold,
gcor,0.00135432,sub-19_task-StatisticalLearning_run-02_bold,
gcor,0.0037742,sub-19_task-StatisticalLearning_run-03_bold,
gcor,0.00632073,sub-19_task-WordReading_run-01_bold,
gcor,0.00442346,sub-19_task-WordReading_run-02_bold,
gcor,0.00315999,sub-19_task-WordReading_run-03_bold,
gcor,0.00497389,sub-19_task-WordReading_run-04_bold,
gcor,0.00487589,sub-19_task-WordReading_run-05_bold,
gcor,0.00202218,sub-20_task-ArchiLocalizer_run-01_bold,
gcor,0.00177217,sub-20_task-StatisticalLearning_run-01_bold,
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gcor,0.00591272,sub-20_task-StatisticalLearning_run-03_bold,
gcor,0.0034735,sub-20_task-WordReading_run-01_bold,
gcor,0.00492167,sub-20_task-WordReading_run-02_bold,
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gcor,0.00475646,sub-20_task-WordReading_run-04_bold,
gcor,0.00500743,sub-20_task-WordReading_run-05_bold,
gcor,0.00607815,sub-21_task-ArchiLocalizer_run-01_bold,
gcor,0.00461312,sub-21_task-StatisticalLearning_run-01_bold,
gcor,0.00266798,sub-21_task-StatisticalLearning_run-02_bold,
gcor,0.00581796,sub-21_task-StatisticalLearning_run-03_bold,
gcor,0.00648787,sub-21_task-WordReading_run-01_bold,
gcor,0.00874345,sub-21_task-WordReading_run-02_bold,
gcor,0.00764452,sub-21_task-WordReading_run-03_bold,
gcor,0.00914684,sub-21_task-WordReading_run-04_bold,
gcor,0.00804748,sub-21_task-WordReading_run-05_bold,
gcor,0.00564678,sub-22_task-ArchiLocalizer_run-01_bold,
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</pre>
<div class="chart-wrapper" id="chart-group12"></div>
<pre class="csvdata" id="data-csv12" style="display: none">
iqm,value,label,units
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</pre>
<div class="chart-wrapper" id="chart-group13"></div>
<pre class="csvdata" id="data-csv13" style="display: none">
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</pre>
<div class="chart-wrapper" id="chart-group14"></div>
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</pre>
<div class="chart-wrapper" id="chart-group15"></div>
<pre class="csvdata" id="data-csv15" style="display: none">
iqm,value,label,units
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summary_bg_k,118.0097,sub-06_task-WordReading_run-04_bold,
summary_bg_k,116.0085,sub-06_task-WordReading_run-05_bold,
summary_bg_k,91.6408,sub-07_task-ArchiLocalizer_run-01_bold,
summary_bg_k,90.4531,sub-07_task-StatisticalLearning_run-01_bold,
summary_bg_k,85.081,sub-07_task-StatisticalLearning_run-02_bold,
summary_bg_k,103.778,sub-07_task-StatisticalLearning_run-03_bold,
summary_bg_k,89.3068,sub-07_task-WordReading_run-01_bold,
summary_bg_k,76.3686,sub-07_task-WordReading_run-02_bold,
summary_bg_k,95.4296,sub-07_task-WordReading_run-03_bold,
summary_bg_k,91.8091,sub-07_task-WordReading_run-04_bold,
summary_bg_k,83.0837,sub-07_task-WordReading_run-05_bold,
summary_bg_k,84.3842,sub-08_task-ArchiLocalizer_run-01_bold,
summary_bg_k,83.1063,sub-08_task-StatisticalLearning_run-01_bold,
summary_bg_k,84.2024,sub-08_task-StatisticalLearning_run-02_bold,
summary_bg_k,85.1556,sub-08_task-StatisticalLearning_run-03_bold,
summary_bg_k,81.1166,sub-08_task-WordReading_run-01_bold,
summary_bg_k,79.6855,sub-08_task-WordReading_run-02_bold,
summary_bg_k,78.3382,sub-08_task-WordReading_run-03_bold,
summary_bg_k,78.0774,sub-08_task-WordReading_run-04_bold,
summary_bg_k,80.0761,sub-08_task-WordReading_run-05_bold,
summary_bg_k,91.9229,sub-09_task-ArchiLocalizer_run-01_bold,
summary_bg_k,89.0567,sub-09_task-StatisticalLearning_run-01_bold,
summary_bg_k,90.0314,sub-09_task-StatisticalLearning_run-02_bold,
summary_bg_k,88.6361,sub-09_task-StatisticalLearning_run-03_bold,
summary_bg_k,86.7673,sub-09_task-WordReading_run-01_bold,
summary_bg_k,90.9292,sub-09_task-WordReading_run-02_bold,
summary_bg_k,88.6749,sub-09_task-WordReading_run-03_bold,
summary_bg_k,88.7609,sub-09_task-WordReading_run-04_bold,
summary_bg_k,89.5534,sub-09_task-WordReading_run-05_bold,
summary_bg_k,26.9701,sub-10_task-ArchiLocalizer_run-01_bold,
summary_bg_k,28.5065,sub-10_task-StatisticalLearning_run-01_bold,
summary_bg_k,28.7307,sub-10_task-StatisticalLearning_run-02_bold,
summary_bg_k,25.8308,sub-10_task-StatisticalLearning_run-03_bold,
summary_bg_k,29.2719,sub-10_task-WordReading_run-01_bold,
summary_bg_k,26.8301,sub-10_task-WordReading_run-02_bold,
summary_bg_k,29.2851,sub-10_task-WordReading_run-03_bold,
summary_bg_k,27.8232,sub-10_task-WordReading_run-04_bold,
summary_bg_k,26.5832,sub-10_task-WordReading_run-05_bold,
summary_bg_k,43.3866,sub-11_task-ArchiLocalizer_run-01_bold,
summary_bg_k,49.1072,sub-11_task-StatisticalLearning_run-01_bold,
summary_bg_k,48.142,sub-11_task-StatisticalLearning_run-02_bold,
summary_bg_k,45.3549,sub-11_task-StatisticalLearning_run-03_bold,
summary_bg_k,52.1738,sub-11_task-WordReading_run-01_bold,
summary_bg_k,50.543,sub-11_task-WordReading_run-02_bold,
summary_bg_k,48.8649,sub-11_task-WordReading_run-03_bold,
summary_bg_k,47.3176,sub-11_task-WordReading_run-04_bold,
summary_bg_k,45.3032,sub-11_task-WordReading_run-05_bold,
summary_bg_k,58.5542,sub-12_task-ArchiLocalizer_run-01_bold,
summary_bg_k,57.7819,sub-12_task-StatisticalLearning_run-01_bold,
summary_bg_k,57.1693,sub-12_task-StatisticalLearning_run-02_bold,
summary_bg_k,56.2839,sub-12_task-StatisticalLearning_run-03_bold,
summary_bg_k,53.9027,sub-12_task-WordReading_run-01_bold,
summary_bg_k,58.6124,sub-12_task-WordReading_run-02_bold,
summary_bg_k,62.8406,sub-12_task-WordReading_run-03_bold,
summary_bg_k,60.0438,sub-12_task-WordReading_run-04_bold,
summary_bg_k,60.1974,sub-12_task-WordReading_run-05_bold,
summary_bg_k,53.5901,sub-13_task-ArchiLocalizer_run-01_bold,
summary_bg_k,43.2523,sub-13_task-StatisticalLearning_run-01_bold,
summary_bg_k,38.0961,sub-13_task-StatisticalLearning_run-02_bold,
summary_bg_k,40.4218,sub-13_task-StatisticalLearning_run-03_bold,
summary_bg_k,50.3182,sub-13_task-WordReading_run-01_bold,
summary_bg_k,45.341,sub-13_task-WordReading_run-02_bold,
summary_bg_k,54.1624,sub-13_task-WordReading_run-03_bold,
summary_bg_k,58.3512,sub-13_task-WordReading_run-04_bold,
summary_bg_k,58.0518,sub-13_task-WordReading_run-05_bold,
summary_bg_k,57.4094,sub-14_task-ArchiLocalizer_run-01_bold,
summary_bg_k,57.7726,sub-14_task-StatisticalLearning_run-01_bold,
summary_bg_k,57.144,sub-14_task-StatisticalLearning_run-02_bold,
summary_bg_k,57.6504,sub-14_task-StatisticalLearning_run-03_bold,
summary_bg_k,59.8858,sub-14_task-WordReading_run-01_bold,
summary_bg_k,59.7283,sub-14_task-WordReading_run-02_bold,
summary_bg_k,59.204,sub-14_task-WordReading_run-03_bold,
summary_bg_k,58.6121,sub-14_task-WordReading_run-04_bold,
summary_bg_k,57.7826,sub-14_task-WordReading_run-05_bold,
summary_bg_k,21.0102,sub-15_task-ArchiLocalizer_run-01_bold,
summary_bg_k,22.0468,sub-15_task-StatisticalLearning_run-01_bold,
summary_bg_k,21.4789,sub-15_task-StatisticalLearning_run-02_bold,
summary_bg_k,20.3481,sub-15_task-StatisticalLearning_run-03_bold,
summary_bg_k,27.4016,sub-15_task-WordReading_run-01_bold,
summary_bg_k,25.9062,sub-15_task-WordReading_run-02_bold,
summary_bg_k,23.8453,sub-15_task-WordReading_run-03_bold,
summary_bg_k,22.7821,sub-15_task-WordReading_run-04_bold,
summary_bg_k,22.279,sub-15_task-WordReading_run-05_bold,
summary_bg_k,100.4242,sub-16_task-ArchiLocalizer_run-01_bold,
summary_bg_k,105.0817,sub-16_task-StatisticalLearning_run-01_bold,
summary_bg_k,106.3424,sub-16_task-StatisticalLearning_run-02_bold,
summary_bg_k,106.4468,sub-16_task-StatisticalLearning_run-03_bold,
summary_bg_k,106.5331,sub-16_task-WordReading_run-01_bold,
summary_bg_k,106.395,sub-16_task-WordReading_run-02_bold,
summary_bg_k,105.1029,sub-16_task-WordReading_run-03_bold,
summary_bg_k,98.4451,sub-16_task-WordReading_run-04_bold,
summary_bg_k,104.0478,sub-16_task-WordReading_run-05_bold,
summary_bg_k,81.7604,sub-17_task-ArchiLocalizer_run-01_bold,
summary_bg_k,85.4172,sub-17_task-StatisticalLearning_run-01_bold,
summary_bg_k,81.9326,sub-17_task-StatisticalLearning_run-02_bold,
summary_bg_k,82.706,sub-17_task-StatisticalLearning_run-03_bold,
summary_bg_k,90.8663,sub-17_task-WordReading_run-01_bold,
summary_bg_k,90.3344,sub-17_task-WordReading_run-02_bold,
summary_bg_k,83.3431,sub-17_task-WordReading_run-03_bold,
summary_bg_k,85.4487,sub-17_task-WordReading_run-04_bold,
summary_bg_k,84.3429,sub-17_task-WordReading_run-05_bold,
summary_bg_k,25.0571,sub-18_task-ArchiLocalizer_run-01_bold,
summary_bg_k,25.2629,sub-18_task-StatisticalLearning_run-01_bold,
summary_bg_k,24.0318,sub-18_task-StatisticalLearning_run-02_bold,
summary_bg_k,24.3339,sub-18_task-StatisticalLearning_run-03_bold,
summary_bg_k,26.4241,sub-18_task-WordReading_run-01_bold,
summary_bg_k,26.6634,sub-18_task-WordReading_run-02_bold,
summary_bg_k,25.4901,sub-18_task-WordReading_run-03_bold,
summary_bg_k,24.9191,sub-18_task-WordReading_run-04_bold,
summary_bg_k,25.063,sub-18_task-WordReading_run-05_bold,
summary_bg_k,123.2669,sub-19_task-ArchiLocalizer_run-01_bold,
summary_bg_k,130.1213,sub-19_task-StatisticalLearning_run-01_bold,
summary_bg_k,132.5158,sub-19_task-StatisticalLearning_run-02_bold,
summary_bg_k,132.9014,sub-19_task-StatisticalLearning_run-03_bold,
summary_bg_k,125.4102,sub-19_task-WordReading_run-01_bold,
summary_bg_k,115.9039,sub-19_task-WordReading_run-02_bold,
summary_bg_k,119.1322,sub-19_task-WordReading_run-03_bold,
summary_bg_k,115.2615,sub-19_task-WordReading_run-04_bold,
summary_bg_k,115.2114,sub-19_task-WordReading_run-05_bold,
summary_bg_k,47.5353,sub-20_task-ArchiLocalizer_run-01_bold,
summary_bg_k,44.092,sub-20_task-StatisticalLearning_run-01_bold,
summary_bg_k,47.7051,sub-20_task-StatisticalLearning_run-02_bold,
summary_bg_k,49.9631,sub-20_task-StatisticalLearning_run-03_bold,
summary_bg_k,42.2755,sub-20_task-WordReading_run-01_bold,
summary_bg_k,43.4802,sub-20_task-WordReading_run-02_bold,
summary_bg_k,45.2306,sub-20_task-WordReading_run-03_bold,
summary_bg_k,40.385,sub-20_task-WordReading_run-04_bold,
summary_bg_k,47.6129,sub-20_task-WordReading_run-05_bold,
summary_bg_k,75.9905,sub-21_task-ArchiLocalizer_run-01_bold,
summary_bg_k,79.3685,sub-21_task-StatisticalLearning_run-01_bold,
summary_bg_k,82.7075,sub-21_task-StatisticalLearning_run-02_bold,
summary_bg_k,81.6274,sub-21_task-StatisticalLearning_run-03_bold,
summary_bg_k,92.9604,sub-21_task-WordReading_run-01_bold,
summary_bg_k,88.1904,sub-21_task-WordReading_run-02_bold,
summary_bg_k,87.4973,sub-21_task-WordReading_run-03_bold,
summary_bg_k,94.3079,sub-21_task-WordReading_run-04_bold,
summary_bg_k,86.5205,sub-21_task-WordReading_run-05_bold,
summary_bg_k,65.7978,sub-22_task-ArchiLocalizer_run-01_bold,
summary_bg_k,81.4506,sub-22_task-StatisticalLearning_run-01_bold,
summary_bg_k,71.8729,sub-22_task-StatisticalLearning_run-02_bold,
summary_bg_k,71.0487,sub-22_task-StatisticalLearning_run-03_bold,
summary_bg_k,83.4054,sub-22_task-WordReading_run-01_bold,
summary_bg_k,81.9563,sub-22_task-WordReading_run-02_bold,
summary_bg_k,78.834,sub-22_task-WordReading_run-03_bold,
summary_bg_k,76.8612,sub-22_task-WordReading_run-04_bold,
summary_bg_k,74.155,sub-22_task-WordReading_run-05_bold,
summary_bg_k,97.0032,sub-23_task-ArchiLocalizer_run-01_bold,
summary_bg_k,98.6758,sub-23_task-StatisticalLearning_run-01_bold,
summary_bg_k,95.8574,sub-23_task-StatisticalLearning_run-02_bold,
summary_bg_k,104.7701,sub-23_task-StatisticalLearning_run-03_bold,
summary_bg_k,82.3835,sub-23_task-WordReading_run-01_bold,
summary_bg_k,89.2754,sub-23_task-WordReading_run-02_bold,
summary_bg_k,90.4675,sub-23_task-WordReading_run-03_bold,
summary_bg_k,94.8369,sub-23_task-WordReading_run-04_bold,
summary_bg_k,92.5922,sub-23_task-WordReading_run-05_bold,
summary_bg_k,45.63,sub-24_task-ArchiLocalizer_run-01_bold,
summary_bg_k,48.7909,sub-24_task-StatisticalLearning_run-01_bold,
summary_bg_k,45.4815,sub-24_task-StatisticalLearning_run-02_bold,
summary_bg_k,47.0132,sub-24_task-StatisticalLearning_run-03_bold,
summary_bg_k,48.7656,sub-24_task-WordReading_run-01_bold,
summary_bg_k,45.2788,sub-24_task-WordReading_run-02_bold,
summary_bg_k,45.0708,sub-24_task-WordReading_run-03_bold,
summary_bg_k,46.2366,sub-24_task-WordReading_run-04_bold,
summary_bg_k,45.8636,sub-24_task-WordReading_run-05_bold,
summary_bg_k,78.0976,sub-25_task-ArchiLocalizer_run-01_bold,
summary_bg_k,77.262,sub-25_task-StatisticalLearning_run-01_bold,
summary_bg_k,77.3196,sub-25_task-StatisticalLearning_run-02_bold,
summary_bg_k,77.914,sub-25_task-StatisticalLearning_run-03_bold,
summary_bg_k,77.509,sub-25_task-WordReading_run-01_bold,
summary_bg_k,80.6191,sub-25_task-WordReading_run-02_bold,
summary_bg_k,78.4588,sub-25_task-WordReading_run-03_bold,
summary_bg_k,78.1198,sub-25_task-WordReading_run-04_bold,
summary_bg_k,79.7599,sub-25_task-WordReading_run-05_bold,
summary_bg_k,25.7172,sub-26_task-ArchiLocalizer_run-01_bold,
summary_bg_k,25.4004,sub-26_task-StatisticalLearning_run-01_bold,
summary_bg_k,27.1607,sub-26_task-StatisticalLearning_run-02_bold,
summary_bg_k,24.9516,sub-26_task-StatisticalLearning_run-03_bold,
summary_bg_k,29.2986,sub-26_task-WordReading_run-01_bold,
summary_bg_k,28.3398,sub-26_task-WordReading_run-02_bold,
summary_bg_k,25.7301,sub-26_task-WordReading_run-03_bold,
summary_bg_k,26.4784,sub-26_task-WordReading_run-04_bold,
summary_bg_k,24.7966,sub-26_task-WordReading_run-05_bold,
summary_bg_k,65.7412,sub-27_task-ArchiLocalizer_run-01_bold,
summary_bg_k,69.3379,sub-27_task-StatisticalLearning_run-01_bold,
summary_bg_k,65.2716,sub-27_task-StatisticalLearning_run-02_bold,
summary_bg_k,64.5176,sub-27_task-StatisticalLearning_run-03_bold,
summary_bg_k,70.0624,sub-27_task-WordReading_run-01_bold,
summary_bg_k,70.2164,sub-27_task-WordReading_run-02_bold,
summary_bg_k,69.7648,sub-27_task-WordReading_run-03_bold,
summary_bg_k,69.8003,sub-27_task-WordReading_run-04_bold,
summary_bg_k,68.6734,sub-27_task-WordReading_run-05_bold,
summary_bg_k,41.8901,sub-28_task-ArchiLocalizer_run-01_bold,
summary_bg_k,43.4609,sub-28_task-StatisticalLearning_run-01_bold,
summary_bg_k,46.1866,sub-28_task-StatisticalLearning_run-02_bold,
summary_bg_k,39.0776,sub-28_task-StatisticalLearning_run-03_bold,
summary_bg_k,43.9884,sub-28_task-WordReading_run-01_bold,
summary_bg_k,42.8857,sub-28_task-WordReading_run-02_bold,
summary_bg_k,40.2302,sub-28_task-WordReading_run-03_bold,
summary_bg_k,36.4234,sub-28_task-WordReading_run-04_bold,
summary_bg_k,37.3101,sub-28_task-WordReading_run-05_bold,
summary_bg_k,36.5349,sub-29_task-ArchiLocalizer_run-01_bold,
summary_bg_k,41.0462,sub-29_task-StatisticalLearning_run-01_bold,
summary_bg_k,36.5857,sub-29_task-StatisticalLearning_run-02_bold,
summary_bg_k,34.3747,sub-29_task-StatisticalLearning_run-03_bold,
summary_bg_k,40.9341,sub-29_task-WordReading_run-01_bold,
summary_bg_k,41.2338,sub-29_task-WordReading_run-02_bold,
summary_bg_k,39.0318,sub-29_task-WordReading_run-03_bold,
summary_bg_k,37.6404,sub-29_task-WordReading_run-04_bold,
summary_bg_k,37.7,sub-29_task-WordReading_run-05_bold,
summary_bg_k,117.9835,sub-30_task-ArchiLocalizer_run-01_bold,
summary_bg_k,120.3891,sub-30_task-StatisticalLearning_run-01_bold,
summary_bg_k,118.6361,sub-30_task-StatisticalLearning_run-02_bold,
summary_bg_k,115.092,sub-30_task-StatisticalLearning_run-03_bold,
summary_bg_k,118.8374,sub-30_task-WordReading_run-01_bold,
summary_bg_k,122.8417,sub-30_task-WordReading_run-02_bold,
summary_bg_k,118.2199,sub-30_task-WordReading_run-03_bold,
summary_bg_k,115.9973,sub-30_task-WordReading_run-04_bold,
summary_bg_k,120.2968,sub-30_task-WordReading_run-05_bold,
summary_bg_k,88.8827,sub-31_task-ArchiLocalizer_run-01_bold,
summary_bg_k,92.2363,sub-31_task-StatisticalLearning_run-01_bold,
summary_bg_k,92.6587,sub-31_task-StatisticalLearning_run-02_bold,
summary_bg_k,93.8425,sub-31_task-StatisticalLearning_run-03_bold,
summary_bg_k,91.613,sub-31_task-WordReading_run-01_bold,
summary_bg_k,93.3102,sub-31_task-WordReading_run-02_bold,
summary_bg_k,96.8989,sub-31_task-WordReading_run-03_bold,
summary_bg_k,95.3498,sub-31_task-WordReading_run-04_bold,
summary_bg_k,95.0763,sub-31_task-WordReading_run-05_bold,
summary_bg_k,41.2397,sub-32_task-ArchiLocalizer_run-01_bold,
summary_bg_k,46.1657,sub-32_task-StatisticalLearning_run-01_bold,
summary_bg_k,43.191,sub-32_task-StatisticalLearning_run-02_bold,
summary_bg_k,42.967,sub-32_task-StatisticalLearning_run-03_bold,
summary_bg_k,44.7575,sub-32_task-WordReading_run-01_bold,
summary_bg_k,42.2955,sub-32_task-WordReading_run-02_bold,
summary_bg_k,42.73,sub-32_task-WordReading_run-03_bold,
summary_bg_k,41.035,sub-32_task-WordReading_run-04_bold,
summary_bg_k,42.687,sub-32_task-WordReading_run-05_bold,
summary_bg_k,58.8693,sub-33_task-ArchiLocalizer_run-01_bold,
summary_bg_k,63.1336,sub-33_task-StatisticalLearning_run-01_bold,
summary_bg_k,61.7608,sub-33_task-StatisticalLearning_run-02_bold,
summary_bg_k,62.2429,sub-33_task-StatisticalLearning_run-03_bold,
summary_bg_k,70.7692,sub-33_task-WordReading_run-01_bold,
summary_bg_k,68.4732,sub-33_task-WordReading_run-02_bold,
summary_bg_k,65.8935,sub-33_task-WordReading_run-03_bold,
summary_bg_k,63.9279,sub-33_task-WordReading_run-04_bold,
summary_bg_k,62.8164,sub-33_task-WordReading_run-05_bold,
summary_bg_k,98.5908,sub-34_task-ArchiLocalizer_run-01_bold,
summary_bg_k,102.5798,sub-34_task-StatisticalLearning_run-01_bold,
summary_bg_k,102.2591,sub-34_task-StatisticalLearning_run-02_bold,
summary_bg_k,98.3211,sub-34_task-StatisticalLearning_run-03_bold,
summary_bg_k,105.2633,sub-34_task-WordReading_run-01_bold,
summary_bg_k,103.1142,sub-34_task-WordReading_run-02_bold,
summary_bg_k,102.1527,sub-34_task-WordReading_run-03_bold,
summary_bg_k,104.5898,sub-34_task-WordReading_run-04_bold,
summary_bg_k,100.1784,sub-34_task-WordReading_run-05_bold,
summary_bg_k,41.8118,sub-35_task-ArchiLocalizer_run-01_bold,
summary_bg_k,41.5667,sub-35_task-StatisticalLearning_run-01_bold,
summary_bg_k,41.6038,sub-35_task-StatisticalLearning_run-02_bold,
summary_bg_k,40.8429,sub-35_task-StatisticalLearning_run-03_bold,
summary_bg_k,42.8324,sub-35_task-WordReading_run-01_bold,
summary_bg_k,41.3679,sub-35_task-WordReading_run-02_bold,
summary_bg_k,41.6954,sub-35_task-WordReading_run-03_bold,
summary_bg_k,41.3277,sub-35_task-WordReading_run-04_bold,
summary_bg_k,40.5839,sub-35_task-WordReading_run-05_bold,
summary_bg_k,33.5765,sub-36_task-ArchiLocalizer_run-01_bold,
summary_bg_k,35.4338,sub-36_task-StatisticalLearning_run-01_bold,
summary_bg_k,34.7078,sub-36_task-StatisticalLearning_run-02_bold,
summary_bg_k,32.6794,sub-36_task-StatisticalLearning_run-03_bold,
summary_bg_k,37.0041,sub-36_task-WordReading_run-01_bold,
summary_bg_k,36.6522,sub-36_task-WordReading_run-02_bold,
summary_bg_k,36.3817,sub-36_task-WordReading_run-03_bold,
summary_bg_k,36.4632,sub-36_task-WordReading_run-04_bold,
summary_bg_k,35.0131,sub-36_task-WordReading_run-05_bold,
summary_bg_k,41.9728,sub-37_task-ArchiLocalizer_run-01_bold,
summary_bg_k,40.2601,sub-37_task-StatisticalLearning_run-01_bold,
summary_bg_k,40.2084,sub-37_task-StatisticalLearning_run-02_bold,
summary_bg_k,39.8666,sub-37_task-StatisticalLearning_run-03_bold,
summary_bg_k,47.9996,sub-37_task-WordReading_run-01_bold,
summary_bg_k,48.1869,sub-37_task-WordReading_run-02_bold,
summary_bg_k,45.3176,sub-37_task-WordReading_run-03_bold,
summary_bg_k,43.8379,sub-37_task-WordReading_run-04_bold,
summary_bg_k,39.6273,sub-37_task-WordReading_run-05_bold,
summary_bg_k,39.3941,sub-38_task-ArchiLocalizer_run-01_bold,
summary_bg_k,39.0018,sub-38_task-StatisticalLearning_run-01_bold,
summary_bg_k,41.3983,sub-38_task-StatisticalLearning_run-02_bold,
summary_bg_k,39.9815,sub-38_task-StatisticalLearning_run-03_bold,
summary_bg_k,40.7496,sub-38_task-WordReading_run-01_bold,
summary_bg_k,42.3968,sub-38_task-WordReading_run-02_bold,
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summary_bg_p95,5388.0,sub-35_task-WordReading_run-03_bold,
summary_bg_p95,5448.0,sub-35_task-WordReading_run-04_bold,
summary_bg_p95,5544.0,sub-35_task-WordReading_run-05_bold,
summary_bg_p95,5350.0,sub-36_task-ArchiLocalizer_run-01_bold,
summary_bg_p95,5271.0,sub-36_task-StatisticalLearning_run-01_bold,
summary_bg_p95,5316.0,sub-36_task-StatisticalLearning_run-02_bold,
summary_bg_p95,5368.0,sub-36_task-StatisticalLearning_run-03_bold,
summary_bg_p95,5171.0,sub-36_task-WordReading_run-01_bold,
summary_bg_p95,5287.0,sub-36_task-WordReading_run-02_bold,
summary_bg_p95,5252.0,sub-36_task-WordReading_run-03_bold,
summary_bg_p95,5262.0,sub-36_task-WordReading_run-04_bold,
summary_bg_p95,5272.0,sub-36_task-WordReading_run-05_bold,
summary_bg_p95,3412.0,sub-37_task-ArchiLocalizer_run-01_bold,
summary_bg_p95,3417.0,sub-37_task-StatisticalLearning_run-01_bold,
summary_bg_p95,3406.0,sub-37_task-StatisticalLearning_run-02_bold,
summary_bg_p95,3455.0,sub-37_task-StatisticalLearning_run-03_bold,
summary_bg_p95,3311.0,sub-37_task-WordReading_run-01_bold,
summary_bg_p95,3314.0,sub-37_task-WordReading_run-02_bold,
summary_bg_p95,3312.0,sub-37_task-WordReading_run-03_bold,
summary_bg_p95,3399.0,sub-37_task-WordReading_run-04_bold,
summary_bg_p95,3442.0,sub-37_task-WordReading_run-05_bold,
summary_bg_p95,5064.0,sub-38_task-ArchiLocalizer_run-01_bold,
summary_bg_p95,5013.0,sub-38_task-StatisticalLearning_run-01_bold,
summary_bg_p95,5112.0,sub-38_task-StatisticalLearning_run-02_bold,
summary_bg_p95,5187.0,sub-38_task-StatisticalLearning_run-03_bold,
summary_bg_p95,4711.0,sub-38_task-WordReading_run-01_bold,
summary_bg_p95,4793.0,sub-38_task-WordReading_run-02_bold,
summary_bg_p95,4851.0,sub-38_task-WordReading_run-03_bold,
summary_bg_p95,4953.0,sub-38_task-WordReading_run-04_bold,
summary_bg_p95,5002.0,sub-38_task-WordReading_run-05_bold,
summary_bg_p95,4439.0,sub-39_task-ArchiLocalizer_run-01_bold,
summary_bg_p95,4436.0,sub-39_task-StatisticalLearning_run-01_bold,
summary_bg_p95,4445.0,sub-39_task-StatisticalLearning_run-02_bold,
summary_bg_p95,4481.0,sub-39_task-StatisticalLearning_run-03_bold,
summary_bg_p95,4225.0,sub-39_task-WordReading_run-01_bold,
summary_bg_p95,4218.0,sub-39_task-WordReading_run-02_bold,
summary_bg_p95,4307.0,sub-39_task-WordReading_run-03_bold,
summary_bg_p95,4296.0,sub-39_task-WordReading_run-04_bold,
summary_bg_p95,4372.0,sub-39_task-WordReading_run-05_bold,
summary_bg_p95,5570.0,sub-40_task-ArchiLocalizer_run-01_bold,
summary_bg_p95,5423.0,sub-40_task-StatisticalLearning_run-01_bold,
summary_bg_p95,5547.0,sub-40_task-StatisticalLearning_run-02_bold,
summary_bg_p95,5603.0,sub-40_task-StatisticalLearning_run-03_bold,
summary_bg_p95,5153.0,sub-40_task-WordReading_run-01_bold,
summary_bg_p95,5280.0,sub-40_task-WordReading_run-02_bold,
summary_bg_p95,5373.0,sub-40_task-WordReading_run-03_bold,
summary_bg_p95,5416.0,sub-40_task-WordReading_run-04_bold,
summary_bg_p95,5425.0,sub-40_task-WordReading_run-05_bold,
summary_bg_p95,3340.0,sub-41_task-ArchiLocalizer_run-01_bold,
summary_bg_p95,3347.0,sub-41_task-StatisticalLearning_run-01_bold,
summary_bg_p95,3454.0,sub-41_task-StatisticalLearning_run-02_bold,
summary_bg_p95,3480.0,sub-41_task-StatisticalLearning_run-03_bold,
summary_bg_p95,3298.0,sub-41_task-WordReading_run-01_bold,
summary_bg_p95,3390.0,sub-41_task-WordReading_run-02_bold,
summary_bg_p95,3414.0,sub-41_task-WordReading_run-03_bold,
summary_bg_p95,3388.0,sub-41_task-WordReading_run-04_bold,
summary_bg_p95,3402.0,sub-41_task-WordReading_run-05_bold,
summary_bg_p95,2966.0,sub-42_task-ArchiLocalizer_run-01_bold,
summary_bg_p95,3114.0,sub-42_task-StatisticalLearning_run-01_bold,
summary_bg_p95,3148.0,sub-42_task-StatisticalLearning_run-02_bold,
summary_bg_p95,3196.0,sub-42_task-StatisticalLearning_run-03_bold,
summary_bg_p95,3005.0,sub-42_task-WordReading_run-01_bold,
summary_bg_p95,3022.0,sub-42_task-WordReading_run-02_bold,
summary_bg_p95,3068.0,sub-42_task-WordReading_run-03_bold,
summary_bg_p95,3100.0,sub-42_task-WordReading_run-04_bold,
summary_bg_p95,3138.0,sub-42_task-WordReading_run-05_bold,
summary_bg_p95,2454.0,sub-43_task-ArchiLocalizer_run-01_bold,
summary_bg_p95,2361.0,sub-43_task-StatisticalLearning_run-01_bold,
summary_bg_p95,2377.0,sub-43_task-StatisticalLearning_run-02_bold,
summary_bg_p95,2392.0,sub-43_task-StatisticalLearning_run-03_bold,
summary_bg_p95,2405.0,sub-43_task-WordReading_run-01_bold,
summary_bg_p95,2443.0,sub-43_task-WordReading_run-02_bold,
summary_bg_p95,2476.0,sub-43_task-WordReading_run-03_bold,
summary_bg_p95,2439.0,sub-43_task-WordReading_run-04_bold,
summary_bg_p95,2442.0,sub-43_task-WordReading_run-05_bold,
summary_bg_p95,2303.0,sub-44_task-ArchiLocalizer_run-01_bold,
summary_bg_p95,2300.0,sub-44_task-StatisticalLearning_run-01_bold,
summary_bg_p95,2312.0,sub-44_task-StatisticalLearning_run-02_bold,
summary_bg_p95,2331.0,sub-44_task-StatisticalLearning_run-03_bold,
summary_bg_p95,2298.0,sub-44_task-WordReading_run-01_bold,
summary_bg_p95,2286.0,sub-44_task-WordReading_run-02_bold,
summary_bg_p95,2297.0,sub-44_task-WordReading_run-03_bold,
summary_bg_p95,2329.0,sub-44_task-WordReading_run-04_bold,
summary_bg_p95,2312.0,sub-44_task-WordReading_run-05_bold,
summary_bg_p95,2321.0,sub-45_task-ArchiLocalizer_run-01_bold,
summary_bg_p95,2313.0,sub-45_task-StatisticalLearning_run-01_bold,
summary_bg_p95,2404.0,sub-45_task-StatisticalLearning_run-02_bold,
summary_bg_p95,2422.0,sub-45_task-StatisticalLearning_run-03_bold,
summary_bg_p95,2335.0,sub-45_task-WordReading_run-01_bold,
summary_bg_p95,2362.0,sub-45_task-WordReading_run-02_bold,
summary_bg_p95,2339.0,sub-45_task-WordReading_run-03_bold,
summary_bg_p95,2326.0,sub-45_task-WordReading_run-04_bold,
summary_bg_p95,2324.0,sub-45_task-WordReading_run-05_bold,
summary_bg_p95,2804.0,sub-46_task-ArchiLocalizer_run-01_bold,
summary_bg_p95,2903.0,sub-46_task-StatisticalLearning_run-01_bold,
summary_bg_p95,2862.0,sub-46_task-StatisticalLearning_run-02_bold,
summary_bg_p95,2936.0,sub-46_task-StatisticalLearning_run-03_bold,
summary_bg_p95,2839.0,sub-46_task-WordReading_run-01_bold,
summary_bg_p95,2858.0,sub-46_task-WordReading_run-02_bold,
summary_bg_p95,2888.0,sub-46_task-WordReading_run-03_bold,
summary_bg_p95,2924.0,sub-46_task-WordReading_run-04_bold,
summary_bg_p95,2962.0,sub-46_task-WordReading_run-05_bold,
summary_bg_p95,2503.0,sub-47_task-ArchiLocalizer_run-01_bold,
summary_bg_p95,2480.0,sub-47_task-StatisticalLearning_run-01_bold,
summary_bg_p95,2363.0,sub-47_task-StatisticalLearning_run-02_bold,
summary_bg_p95,2506.0,sub-47_task-StatisticalLearning_run-03_bold,
summary_bg_p95,2437.0,sub-47_task-WordReading_run-01_bold,
summary_bg_p95,2705.0,sub-47_task-WordReading_run-02_bold,
summary_bg_p95,2484.0,sub-47_task-WordReading_run-03_bold,
summary_bg_p95,2432.0,sub-47_task-WordReading_run-04_bold,
summary_bg_p95,2727.0,sub-47_task-WordReading_run-05_bold,
summary_bg_p95,3209.0,sub-48_task-ArchiLocalizer_run-01_bold,
summary_bg_p95,3276.0,sub-48_task-StatisticalLearning_run-01_bold,
summary_bg_p95,3253.0,sub-48_task-StatisticalLearning_run-02_bold,
summary_bg_p95,3268.0,sub-48_task-StatisticalLearning_run-03_bold,
summary_bg_p95,3060.0,sub-48_task-WordReading_run-01_bold,
summary_bg_p95,3060.0,sub-48_task-WordReading_run-02_bold,
summary_bg_p95,3102.0,sub-48_task-WordReading_run-03_bold,
summary_bg_p95,3116.0,sub-48_task-WordReading_run-04_bold,
summary_bg_p95,3175.0,sub-48_task-WordReading_run-05_bold,
summary_bg_p95,2309.0,sub-50_task-ArchiLocalizer_run-01_bold,
summary_bg_p95,2374.0,sub-50_task-StatisticalLearning_run-01_bold,
summary_bg_p95,2407.0,sub-50_task-StatisticalLearning_run-02_bold,
summary_bg_p95,2360.0,sub-50_task-StatisticalLearning_run-03_bold,
summary_bg_p95,2378.0,sub-50_task-WordReading_run-01_bold,
summary_bg_p95,2409.0,sub-50_task-WordReading_run-02_bold,
summary_bg_p95,2429.0,sub-50_task-WordReading_run-03_bold,
summary_bg_p95,2427.0,sub-50_task-WordReading_run-04_bold,
summary_bg_p95,2445.0,sub-50_task-WordReading_run-05_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,10583.7142,sub-01_task-ArchiLocalizer_run-01_bold,
summary_fg_mean,10609.9687,sub-01_task-StatisticalLearning_run-01_bold,
summary_fg_mean,10622.3721,sub-01_task-StatisticalLearning_run-02_bold,
summary_fg_mean,10581.6908,sub-01_task-StatisticalLearning_run-03_bold,
summary_fg_mean,10675.6788,sub-01_task-WordReading_run-01_bold,
summary_fg_mean,10611.0477,sub-01_task-WordReading_run-02_bold,
summary_fg_mean,10574.2111,sub-01_task-WordReading_run-03_bold,
summary_fg_mean,10568.7558,sub-01_task-WordReading_run-04_bold,
summary_fg_mean,10580.8234,sub-01_task-WordReading_run-05_bold,
summary_fg_mean,9574.7907,sub-02_task-ArchiLocalizer_run-01_bold,
summary_fg_mean,9685.1866,sub-02_task-StatisticalLearning_run-01_bold,
summary_fg_mean,9653.7237,sub-02_task-StatisticalLearning_run-02_bold,
summary_fg_mean,9636.23,sub-02_task-StatisticalLearning_run-03_bold,
summary_fg_mean,9738.842,sub-02_task-WordReading_run-01_bold,
summary_fg_mean,9698.4869,sub-02_task-WordReading_run-02_bold,
summary_fg_mean,9710.5789,sub-02_task-WordReading_run-03_bold,
summary_fg_mean,9681.8941,sub-02_task-WordReading_run-04_bold,
summary_fg_mean,9676.4593,sub-02_task-WordReading_run-05_bold,
summary_fg_mean,10275.0292,sub-03_task-ArchiLocalizer_run-01_bold,
summary_fg_mean,10283.6976,sub-03_task-StatisticalLearning_run-01_bold,
summary_fg_mean,10288.7466,sub-03_task-StatisticalLearning_run-02_bold,
summary_fg_mean,10326.1891,sub-03_task-StatisticalLearning_run-03_bold,
summary_fg_mean,10398.0683,sub-03_task-WordReading_run-01_bold,
summary_fg_mean,10258.4079,sub-03_task-WordReading_run-02_bold,
summary_fg_mean,10276.19,sub-03_task-WordReading_run-03_bold,
summary_fg_mean,10322.2379,sub-03_task-WordReading_run-04_bold,
summary_fg_mean,10285.5292,sub-03_task-WordReading_run-05_bold,
summary_fg_mean,10499.7541,sub-04_task-ArchiLocalizer_run-01_bold,
summary_fg_mean,10489.5213,sub-04_task-StatisticalLearning_run-01_bold,
summary_fg_mean,10485.3221,sub-04_task-StatisticalLearning_run-02_bold,
summary_fg_mean,10497.6486,sub-04_task-StatisticalLearning_run-03_bold,
summary_fg_mean,10564.9145,sub-04_task-WordReading_run-01_bold,
summary_fg_mean,10497.1675,sub-04_task-WordReading_run-02_bold,
summary_fg_mean,10477.1662,sub-04_task-WordReading_run-03_bold,
summary_fg_mean,10461.0255,sub-04_task-WordReading_run-04_bold,
summary_fg_mean,10449.2601,sub-04_task-WordReading_run-05_bold,
summary_fg_mean,10011.6457,sub-05_task-ArchiLocalizer_run-01_bold,
summary_fg_mean,9700.0493,sub-05_task-StatisticalLearning_run-01_bold,
summary_fg_mean,9734.4592,sub-05_task-StatisticalLearning_run-02_bold,
summary_fg_mean,9980.8348,sub-05_task-StatisticalLearning_run-03_bold,
summary_fg_mean,9828.6086,sub-05_task-WordReading_run-01_bold,
summary_fg_mean,9617.6556,sub-05_task-WordReading_run-02_bold,
summary_fg_mean,9804.7094,sub-05_task-WordReading_run-03_bold,
summary_fg_mean,9583.9112,sub-05_task-WordReading_run-04_bold,
summary_fg_mean,9562.6909,sub-05_task-WordReading_run-05_bold,
summary_fg_mean,10582.7341,sub-06_task-ArchiLocalizer_run-01_bold,
summary_fg_mean,10602.9825,sub-06_task-StatisticalLearning_run-01_bold,
summary_fg_mean,10617.8327,sub-06_task-StatisticalLearning_run-02_bold,
summary_fg_mean,10621.6124,sub-06_task-StatisticalLearning_run-03_bold,
summary_fg_mean,10731.185,sub-06_task-WordReading_run-01_bold,
summary_fg_mean,10650.7532,sub-06_task-WordReading_run-02_bold,
summary_fg_mean,10631.8504,sub-06_task-WordReading_run-03_bold,
summary_fg_mean,10585.4874,sub-06_task-WordReading_run-04_bold,
summary_fg_mean,10606.4428,sub-06_task-WordReading_run-05_bold,
summary_fg_mean,9520.0976,sub-07_task-ArchiLocalizer_run-01_bold,
summary_fg_mean,9535.2154,sub-07_task-StatisticalLearning_run-01_bold,
summary_fg_mean,9531.3414,sub-07_task-StatisticalLearning_run-02_bold,
summary_fg_mean,9533.8943,sub-07_task-StatisticalLearning_run-03_bold,
summary_fg_mean,9561.3498,sub-07_task-WordReading_run-01_bold,
summary_fg_mean,9501.0693,sub-07_task-WordReading_run-02_bold,
summary_fg_mean,9516.1998,sub-07_task-WordReading_run-03_bold,
summary_fg_mean,9541.5234,sub-07_task-WordReading_run-04_bold,
summary_fg_mean,9551.7383,sub-07_task-WordReading_run-05_bold,
summary_fg_mean,9728.1159,sub-08_task-ArchiLocalizer_run-01_bold,
summary_fg_mean,9855.0223,sub-08_task-StatisticalLearning_run-01_bold,
summary_fg_mean,9826.6412,sub-08_task-StatisticalLearning_run-02_bold,
summary_fg_mean,9775.9316,sub-08_task-StatisticalLearning_run-03_bold,
summary_fg_mean,10150.9354,sub-08_task-WordReading_run-01_bold,
summary_fg_mean,10088.0319,sub-08_task-WordReading_run-02_bold,
summary_fg_mean,9977.1592,sub-08_task-WordReading_run-03_bold,
summary_fg_mean,9889.0837,sub-08_task-WordReading_run-04_bold,
summary_fg_mean,9841.5272,sub-08_task-WordReading_run-05_bold,
summary_fg_mean,9792.1109,sub-09_task-ArchiLocalizer_run-01_bold,
summary_fg_mean,9844.8658,sub-09_task-StatisticalLearning_run-01_bold,
summary_fg_mean,9792.5099,sub-09_task-StatisticalLearning_run-02_bold,
summary_fg_mean,9828.2791,sub-09_task-StatisticalLearning_run-03_bold,
summary_fg_mean,9959.0281,sub-09_task-WordReading_run-01_bold,
summary_fg_mean,9817.7543,sub-09_task-WordReading_run-02_bold,
summary_fg_mean,9816.4647,sub-09_task-WordReading_run-03_bold,
summary_fg_mean,9785.2982,sub-09_task-WordReading_run-04_bold,
summary_fg_mean,9862.615,sub-09_task-WordReading_run-05_bold,
summary_fg_mean,8817.235,sub-10_task-ArchiLocalizer_run-01_bold,
summary_fg_mean,9051.1486,sub-10_task-StatisticalLearning_run-01_bold,
summary_fg_mean,8999.203,sub-10_task-StatisticalLearning_run-02_bold,
summary_fg_mean,8836.1508,sub-10_task-StatisticalLearning_run-03_bold,
summary_fg_mean,9333.4826,sub-10_task-WordReading_run-01_bold,
summary_fg_mean,9281.8879,sub-10_task-WordReading_run-02_bold,
summary_fg_mean,9336.0265,sub-10_task-WordReading_run-03_bold,
summary_fg_mean,9136.9881,sub-10_task-WordReading_run-04_bold,
summary_fg_mean,9024.1667,sub-10_task-WordReading_run-05_bold,
summary_fg_mean,9874.5655,sub-11_task-ArchiLocalizer_run-01_bold,
summary_fg_mean,10007.2927,sub-11_task-StatisticalLearning_run-01_bold,
summary_fg_mean,9984.9382,sub-11_task-StatisticalLearning_run-02_bold,
summary_fg_mean,9906.3795,sub-11_task-StatisticalLearning_run-03_bold,
summary_fg_mean,10121.9673,sub-11_task-WordReading_run-01_bold,
summary_fg_mean,10071.2208,sub-11_task-WordReading_run-02_bold,
summary_fg_mean,10033.7963,sub-11_task-WordReading_run-03_bold,
summary_fg_mean,10011.8888,sub-11_task-WordReading_run-04_bold,
summary_fg_mean,9989.469,sub-11_task-WordReading_run-05_bold,
summary_fg_mean,9226.7819,sub-12_task-ArchiLocalizer_run-01_bold,
summary_fg_mean,9437.7998,sub-12_task-StatisticalLearning_run-01_bold,
summary_fg_mean,9301.1098,sub-12_task-StatisticalLearning_run-02_bold,
summary_fg_mean,9230.2452,sub-12_task-StatisticalLearning_run-03_bold,
summary_fg_mean,9589.6799,sub-12_task-WordReading_run-01_bold,
summary_fg_mean,9628.2654,sub-12_task-WordReading_run-02_bold,
summary_fg_mean,9605.3203,sub-12_task-WordReading_run-03_bold,
summary_fg_mean,9527.7752,sub-12_task-WordReading_run-04_bold,
summary_fg_mean,9420.0553,sub-12_task-WordReading_run-05_bold,
summary_fg_mean,9036.0026,sub-13_task-ArchiLocalizer_run-01_bold,
summary_fg_mean,9115.2641,sub-13_task-StatisticalLearning_run-01_bold,
summary_fg_mean,9109.9519,sub-13_task-StatisticalLearning_run-02_bold,
summary_fg_mean,9080.749,sub-13_task-StatisticalLearning_run-03_bold,
summary_fg_mean,9301.73,sub-13_task-WordReading_run-01_bold,
summary_fg_mean,9196.4143,sub-13_task-WordReading_run-02_bold,
summary_fg_mean,9176.3262,sub-13_task-WordReading_run-03_bold,
summary_fg_mean,9157.0095,sub-13_task-WordReading_run-04_bold,
summary_fg_mean,9140.0411,sub-13_task-WordReading_run-05_bold,
summary_fg_mean,9466.5234,sub-14_task-ArchiLocalizer_run-01_bold,
summary_fg_mean,9477.561,sub-14_task-StatisticalLearning_run-01_bold,
summary_fg_mean,9479.8362,sub-14_task-StatisticalLearning_run-02_bold,
summary_fg_mean,9461.0299,sub-14_task-StatisticalLearning_run-03_bold,
summary_fg_mean,9550.3142,sub-14_task-WordReading_run-01_bold,
summary_fg_mean,9513.39,sub-14_task-WordReading_run-02_bold,
summary_fg_mean,9496.2508,sub-14_task-WordReading_run-03_bold,
summary_fg_mean,9470.831,sub-14_task-WordReading_run-04_bold,
summary_fg_mean,9477.802,sub-14_task-WordReading_run-05_bold,
summary_fg_mean,9204.6425,sub-15_task-ArchiLocalizer_run-01_bold,
summary_fg_mean,9235.3244,sub-15_task-StatisticalLearning_run-01_bold,
summary_fg_mean,9247.0072,sub-15_task-StatisticalLearning_run-02_bold,
summary_fg_mean,9216.5431,sub-15_task-StatisticalLearning_run-03_bold,
summary_fg_mean,9551.2719,sub-15_task-WordReading_run-01_bold,
summary_fg_mean,9490.6656,sub-15_task-WordReading_run-02_bold,
summary_fg_mean,9393.49,sub-15_task-WordReading_run-03_bold,
summary_fg_mean,9311.9282,sub-15_task-WordReading_run-04_bold,
summary_fg_mean,9302.0364,sub-15_task-WordReading_run-05_bold,
summary_fg_mean,9570.3744,sub-16_task-ArchiLocalizer_run-01_bold,
summary_fg_mean,9678.3706,sub-16_task-StatisticalLearning_run-01_bold,
summary_fg_mean,9649.995,sub-16_task-StatisticalLearning_run-02_bold,
summary_fg_mean,9608.8004,sub-16_task-StatisticalLearning_run-03_bold,
summary_fg_mean,9835.0479,sub-16_task-WordReading_run-01_bold,
summary_fg_mean,9760.1606,sub-16_task-WordReading_run-02_bold,
summary_fg_mean,9722.7206,sub-16_task-WordReading_run-03_bold,
summary_fg_mean,9753.6603,sub-16_task-WordReading_run-04_bold,
summary_fg_mean,9694.945,sub-16_task-WordReading_run-05_bold,
summary_fg_mean,10162.7014,sub-17_task-ArchiLocalizer_run-01_bold,
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summary_fg_k,1.3535,sub-42_task-ArchiLocalizer_run-01_bold,
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</pre>


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