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    <div id="Basic echo-wise reports" class="mt-5">
    <h1 class="sub-report-title pt-5 ps-4">Basic echo-wise reports</h1>
        <div id="acquisition-mb8_datatype-figures_desc-stdev_run-04_session-02_subject-0101_suffix-bold_task-narratives" class="ps-4 pe-4 mb-2">
<h3 class="run-title mt-3">Standard deviation of signal through time</h3><p class="elem-caption">The voxel-wise standard deviation of the signal (variability along time).</p>                    <div class="reportlet">
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<h3 class="run-title mt-3">View of the background of the voxel-wise average of the BOLD timeseries</h3><p class="elem-caption">This panel shows a mosaic enhancing the background around the head. Artifacts usually unveil themselves in the air surrounding the head, where no signal sources are present.</p>                    <div class="reportlet">
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<h3 class="run-title mt-3">Voxel-wise average of BOLD time-series, zoomed-in covering just the brain</h3><p class="elem-caption">This panel shows a mosaic of the brain. This mosaic is the most suitable to screen head-motion intensity inhomogeneities, global/local noise, signal leakage (for example, from the eyeballs and across the phase-encoding axis), etc.</p>                    <div class="reportlet">
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<h3 class="run-title mt-3">Carpetplot and nuisance signals</h3><p class="elem-caption">The so-called &laquo;carpetplot&raquo; may assist in assessing head-motion derived artifacts and respiation effects.</p>                    <div class="reportlet">
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    <h1 class="sub-report-title pt-5 ps-4">Extended echo-wise reports</h1>
        <div id="acquisition-mb8_datatype-figures_desc-mean_run-04_session-02_subject-0101_suffix-bold_task-narratives" class="ps-4 pe-4 mb-2">
<h3 class="run-title mt-3">Voxel-wise average of BOLD time-series</h3><p class="elem-caption">The average signal calculated across the last axis (time).</p>                    <div class="reportlet">
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    <h1 class="sub-report-title pt-5 ps-4">Extended reports shared across echos</h1>
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<h3 class="run-title mt-3">Brain extraction performance</h3><p class="elem-caption">Brain mask as internally extracted by MRIQC. Defects on the brainmask could indicate problematic aspects of the image quality-wise.</p>                    <div class="reportlet">
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<h3 class="run-title mt-3">Spatial normalization of the anatomical image</h3><p class="elem-caption">This panel shows a <em>quick-and-dirty</em> nonlinear registration into the <code>MNI152NLin2009cAsym</code> template accessed with <a href="https://templateflow.org/browse" target="_blank"><em>TemplateFlow</em></a>.</p>                    <div class="reportlet">
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<h2 class="sub-report-group mt-4">Reproducibility and provenance information</h2><p class="elem-caption">Thanks for using <em>MRIQC</em>. The following information may assist in
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<tr><td colspan=2>Execution environment</td><td>singularity</td></tr>
<tr><td colspan=2>Input filename</td><td><BIDS root>/sub-0101/ses-02/func/sub-0101_ses-02_task-narratives_acq-mb8_run-04_bold.nii.gz</td></tr>
<tr><td>Versions</td><td>MRIQC</td><td>24.1.0.dev0+gd5b13cb5.d20240826</td></tr>
<tr><td>Versions</td><td>NiPype</td><td>1.8.6</td></tr>
<tr><td>Versions</td><td>TemplateFlow</td><td>24.2.0</td></tr>
<tr><td colspan=2>md5sum</td><td>95cdcf8405fbbc74f3ad3d9280500a40</td></tr>
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<tr><td colspan=2>AcquisitionMatrixPE</td><td>82</td></tr>
<tr><td colspan=2>AcquisitionNumber</td><td>1</td></tr>
<tr><td colspan=2>AcquisitionTime</td><td>19:54:8.245000</td></tr>
<tr><td colspan=2>BandwidthPerPixelPhaseEncode</td><td>24.888</td></tr>
<tr><td colspan=2>BaseResolution</td><td>82</td></tr>
<tr><td colspan=2>BodyPartExamined</td><td>BRAIN</td></tr>
<tr><td colspan=2>ConsistencyInfo</td><td>N4_VE11E_LATEST_20181129</td></tr>
<tr><td colspan=2>ConversionSoftware</td><td>dcm2niix</td></tr>
<tr><td colspan=2>ConversionSoftwareVersion</td><td>v1.0.20201102</td></tr>
<tr><td colspan=2>DerivedVendorReportedEchoSpacing</td><td>0.00049</td></tr>
<tr><td colspan=2>DeviceSerialNumber</td><td>66112</td></tr>
<tr><td colspan=2>DwellTime</td><td>2e-06</td></tr>
<tr><td colspan=2>EchoTime</td><td>0.0272</td></tr>
<tr><td colspan=2>EchoTrainLength</td><td>82</td></tr>
<tr><td colspan=2>EffectiveEchoSpacing</td><td>0.00049</td></tr>
<tr><td colspan=2>FlipAngle</td><td>44</td></tr>
<tr><td colspan=2>ImageComments</td><td>Unaliased MB8/PE3</td></tr>
<tr><td colspan=2>ImageOrientationPatientDICOM</td><td>[0.998787, 0.0370888, 0.0323768, -0.0322607, 0.989814, -0.138664]</td></tr>
<tr><td colspan=2>ImageType</td><td>['ORIGINAL', 'PRIMARY', 'M', 'MB', 'ND', 'NORM', 'MOSAIC']</td></tr>
<tr><td colspan=2>ImagingFrequency</td><td>123.259</td></tr>
<tr><td colspan=2>InPlanePhaseEncodingDirectionDICOM</td><td>COL</td></tr>
<tr><td colspan=2>InstitutionAddress</td><td>Maynard 3,Hanover,NH,US,03755</td></tr>
<tr><td colspan=2>InstitutionName</td><td>Dartmouth College - PBS</td></tr>
<tr><td colspan=2>InstitutionalDepartmentName</td><td>Department</td></tr>
<tr><td colspan=2>MRAcquisitionType</td><td>2D</td></tr>
<tr><td colspan=2>MagneticFieldStrength</td><td>3</td></tr>
<tr><td colspan=2>Manufacturer</td><td>Siemens</td></tr>
<tr><td colspan=2>ManufacturersModelName</td><td>Prisma</td></tr>
<tr><td colspan=2>Modality</td><td>MR</td></tr>
<tr><td colspan=2>MultibandAccelerationFactor</td><td>8</td></tr>
<tr><td colspan=2>PartialFourier</td><td>1</td></tr>
<tr><td colspan=2>PatientPosition</td><td>HFS</td></tr>
<tr><td colspan=2>PercentPhaseFOV</td><td>100</td></tr>
<tr><td colspan=2>PercentSampling</td><td>100</td></tr>
<tr><td colspan=2>PhaseEncodingDirection</td><td>j-</td></tr>
<tr><td colspan=2>PhaseEncodingSteps</td><td>82</td></tr>
<tr><td colspan=2>PhaseResolution</td><td>1</td></tr>
<tr><td colspan=2>PixelBandwidth</td><td>3050</td></tr>
<tr><td colspan=2>ProcedureStepDescription</td><td>Wager_Wager^1076_spacetop</td></tr>
<tr><td colspan=2>ProtocolName</td><td>func_run-04_task-narratives_acq-ap-mb8</td></tr>
<tr><td colspan=2>PulseSequenceDetails</td><td>%CustomerSeq%\cmrr_mbep2d_bold</td></tr>
<tr><td colspan=2>ReceiveCoilActiveElements</td><td>HEA;HEP</td></tr>
<tr><td colspan=2>ReceiveCoilName</td><td>Head_32</td></tr>
<tr><td colspan=2>ReconMatrixPE</td><td>82</td></tr>
<tr><td colspan=2>RepetitionTime</td><td>0.46</td></tr>
<tr><td colspan=2>SAR</td><td>0.136658</td></tr>
<tr><td colspan=2>ScanOptions</td><td>FS</td></tr>
<tr><td colspan=2>ScanningSequence</td><td>EP</td></tr>
<tr><td colspan=2>SequenceName</td><td>epfid2d1_82</td></tr>
<tr><td colspan=2>SequenceVariant</td><td>SK\SS</td></tr>
<tr><td colspan=2>SeriesDescription</td><td>func_run-04_task-narratives_acq-ap-mb8</td></tr>
<tr><td colspan=2>SeriesNumber</td><td>14</td></tr>
<tr><td colspan=2>ShimSetting</td><td>[4238, -7767, -7218, 39, -158, -51, -123, 44]</td></tr>
<tr><td colspan=2>SliceThickness</td><td>2.7</td></tr>
<tr><td colspan=2>SliceTiming</td><td>[0, 0.2525, 0.0625, 0.315, 0.1275, 0.3775, 0.19, 0, 0.2525, 0.0625, 0.315, 0.1275, 0.3775, 0.19, 0, 0.2525, 0.0625, 0.315, 0.1275, 0.3775, 0.19, 0, 0.2525, 0.0625, 0.315, 0.1275, 0.3775, 0.19, 0, 0.2525, 0.0625, 0.315, 0.1275, 0.3775, 0.19, 0, 0.2525, 0.0625, 0.315, 0.1275, 0.3775, 0.19, 0, 0.2525, 0.0625, 0.315, 0.1275, 0.3775, 0.19, 0, 0.2525, 0.0625, 0.315, 0.1275, 0.3775, 0.19]</td></tr>
<tr><td colspan=2>SoftwareVersions</td><td>syngo MR E11</td></tr>
<tr><td colspan=2>SpacingBetweenSlices</td><td>2.7</td></tr>
<tr><td colspan=2>StationName</td><td>AWP66112</td></tr>
<tr><td colspan=2>TaskName</td><td>narratives</td></tr>
<tr><td colspan=2>TotalReadoutTime</td><td>0.03969</td></tr>
<tr><td colspan=2>TxRefAmp</td><td>322.566</td></tr>
<tr><td colspan=2>WipMemBlock</td><td>483ac0dd-29e4-4ffe-8019-60f335101d8b||Sequence: R016 ve11e/master r/434b28f1; Aug  7 2019 18:53:46 by eja</td></tr>
<tr><td>dcmmeta</td><td>affine</td><td>[[-2.679673433303833, -0.08655299246311188, 0.1004127711057663, 113.66648864746094], [-0.09950666129589081, 2.6555981636047363, -0.3711199462413788, -72.20682525634766], [0.08686459809541702, 0.3720266819000244, 2.6724870204925537, -88.46077728271484], [0.0, 0.0, 0.0, 1.0]]</td></tr>
<tr><td>dcmmeta</td><td>reorient_transform</td><td>[[0.0, -1.0, 0.0, 81.0], [1.0, 0.0, 0.0, 0.0], [0.0, 0.0, 1.0, 0.0], [0.0, 0.0, 0.0, 1.0]]</td></tr>
<tr><td>dcmmeta</td><td>shape</td><td>[82, 82, 56, 1156]</td></tr>
<tr><td>dcmmeta</td><td>slice_dim</td><td>2</td></tr>
<tr><td>dcmmeta</td><td>version</td><td>0.6</td></tr>
<tr><td colspan=2>time</td><td>{'samples': {'AcquisitionNumber': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 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      <table id="about-metadata-table-2" class="table table-sm table-striped">
<tr><td colspan=3>aor</td><td>0.0010266753472222222</td></tr>
<tr><td colspan=3>aqi</td><td>0.02239730598958333</td></tr>
<tr><td colspan=3>dummy_trs</td><td>4</td></tr>
<tr><td>dvars</td><td colspan=2>nstd</td><td>42.18683500642046</td></tr>
<tr><td>dvars</td><td colspan=2>std</td><td>1.1506564275325804</td></tr>
<tr><td>dvars</td><td colspan=2>vstd</td><td>1.0126949133014769</td></tr>
<tr><td colspan=3>efc</td><td>0.5374</td></tr>
<tr><td colspan=3>fber</td><td>2535.3892</td></tr>
<tr><td>fd</td><td colspan=2>mean</td><td>0.11089620525539061</td></tr>
<tr><td>fd</td><td colspan=2>num</td><td>102</td></tr>
<tr><td>fd</td><td colspan=2>perc</td><td>8.854166666666666</td></tr>
<tr><td>fwhm</td><td colspan=2>avg</td><td>2.46979243143961</td></tr>
<tr><td>fwhm</td><td colspan=2>x</td><td>2.3789988523711565</td></tr>
<tr><td>fwhm</td><td colspan=2>y</td><td>2.718389389734001</td></tr>
<tr><td>fwhm</td><td colspan=2>z</td><td>2.3119890522136726</td></tr>
<tr><td colspan=3>gcor</td><td>0.00488118</td></tr>
<tr><td>gsr</td><td colspan=2>x</td><td>-0.00904136709868908</td></tr>
<tr><td>gsr</td><td colspan=2>y</td><td>0.06877391785383224</td></tr>
<tr><td>size</td><td colspan=2>t</td><td>1152</td></tr>
<tr><td>size</td><td colspan=2>x</td><td>82</td></tr>
<tr><td>size</td><td colspan=2>y</td><td>82</td></tr>
<tr><td>size</td><td colspan=2>z</td><td>56</td></tr>
<tr><td colspan=3>snr</td><td>4.291611360824235</td></tr>
<tr><td>spacing</td><td colspan=2>tr</td><td>0.46000000834465027</td></tr>
<tr><td>spacing</td><td colspan=2>x</td><td>2.682926893234253</td></tr>
<tr><td>spacing</td><td colspan=2>y</td><td>2.682926893234253</td></tr>
<tr><td>spacing</td><td colspan=2>z</td><td>2.6999998092651367</td></tr>
<tr><td>summary</td><td>bg</td><td>k</td><td>21.1102</td></tr>
<tr><td>summary</td><td>bg</td><td>mad</td><td>74.9538</td></tr>
<tr><td>summary</td><td>bg</td><td>mean</td><td>260.7134</td></tr>
<tr><td>summary</td><td>bg</td><td>median</td><td>71.0</td></tr>
<tr><td>summary</td><td>bg</td><td>n</td><td>286735.0</td></tr>
<tr><td>summary</td><td>bg</td><td>p05</td><td>16.0</td></tr>
<tr><td>summary</td><td>bg</td><td>p95</td><td>1193.0</td></tr>
<tr><td>summary</td><td>bg</td><td>stdv</td><td>454.0253</td></tr>
<tr><td>summary</td><td>fg</td><td>k</td><td>2.8467</td></tr>
<tr><td>summary</td><td>fg</td><td>mad</td><td>573.1249</td></tr>
<tr><td>summary</td><td>fg</td><td>mean</td><td>3503.9884</td></tr>
<tr><td>summary</td><td>fg</td><td>median</td><td>3592.0</td></tr>
<tr><td>summary</td><td>fg</td><td>n</td><td>89809.0</td></tr>
<tr><td>summary</td><td>fg</td><td>p05</td><td>1688.0</td></tr>
<tr><td>summary</td><td>fg</td><td>p95</td><td>4612.0</td></tr>
<tr><td>summary</td><td>fg</td><td>stdv</td><td>836.977</td></tr>
<tr><td colspan=3>tsnr</td><td>34.67339495290071</td></tr>
</table>

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        <ul class="list-group list-group-horizontal slider-labels" style="width: 100%">
            <li class="list-group-item list-group-item-warning small" style="width: 50%; text-align:center">Doubtful</li>
            <li class="list-group-item list-group-item-success bg-success text-white small" style="width: 50%; text-align:center">Confident</li>
        </ul>
       </div> <!-- accordion-body -->
    </div> <!-- accordion-collapse -->
  </div> <!-- accordion-item -->
</div>
<div style="margin-top: 10px">
<a class="btn btn-primary disabled" id="btn-download" href="">Download</a>
<button class="btn btn-primary" id="btn-post" value="8sSYVI0XjFqacEMZ8wF4" disabled>Share publicly</button>
</div>
<script type="text/javascript">
var MINIMUM_RATING_TIME = 10
$('#qcslider').on('input', function() {

    if ( (Date.now() - timestamp) / 1000 > MINIMUM_RATING_TIME) {
        $('#btn-download').removeClass('disabled');
        $('#btn-download').removeAttr('aria-disabled');
        $('#btn-post').removeAttr('disabled');
    };

    $('#qcslider-collapse .list-group-item').removeClass(function(index, classname) {
        return (classname.match(/(^|\s)bg-\S+/g) || []).join(' ');
    });
    $('#qcslider-collapse .list-group-item').removeClass(function(index, classname) {
        return (classname.match(/(^|\s)text-\S+/g) || []).join(' ');
    });

    if ( $(this).val() < 1.5 ) {
        $('#qcslider-collapse .list-group-item-danger').addClass('bg-danger text-white');
    } else if ( $(this).val() > 3.5 ) {
        $('#qcslider-collapse .list-group-item-success').addClass('bg-success text-white');
    } else if ( $(this).val() < 2.5 ) {
        $('#qcslider-collapse .list-group-item-warning').addClass('bg-warning text-dark');
    } else {
        $('#qcslider-collapse .list-group-item-primary').addClass('bg-primary text-white');
    };

    var payload = read_form();
});

$('#qcextra-confidence').on('input', function() {
    if ( (Date.now() - timestamp) / 1000 > MINIMUM_RATING_TIME) {
        $('#btn-download').removeClass('disabled');
        $('#btn-download').removeAttr('aria-disabled');
        $('#btn-post').removeAttr('disabled');
    };

    $('#qcextra-collapse .list-group-item').removeClass(function(index, classname) {
        return (classname.match(/(^|\s)bg-\S+/g) || []).join(' ');
    });
    $('#qcextra-collapse .list-group-item').removeClass(function(index, classname) {
        return (classname.match(/(^|\s)text-\S+/g) || []).join(' ');
    });

    if ( $(this).val() < 2.0 ) {
        $('#qcextra-collapse .list-group-item-warning').addClass('bg-warning text-dark');
    } else {
        $('#qcextra-collapse .list-group-item-success').addClass('bg-success text-white');
    };

    var payload = read_form();
});


$('#qcextra-comments').bind('input propertychange', function() {
    if ( (Date.now() - timestamp) / 1000 > MINIMUM_RATING_TIME) {
        $('#btn-download').removeClass('disabled');
        $('#btn-download').removeAttr('aria-disabled');
        $('#btn-post').removeAttr('disabled');
    };
});

$( '#btn-post' ).click( function() {
    var payload = read_form();
    var md5sum = "unspecified";
    var params = {
        'rating': payload['rating'],
        'md5sum': md5sum,
        'name': "",
        'comment': JSON.stringify(payload['artifacts'])
    };

    // disable development releases
    var authorization = $(this).val();
    var ratingReq = new XMLHttpRequest();
    ratingReq.open("POST", "https://mriqc.nimh.nih.gov:443/api/v1/rating");
    ratingReq.setRequestHeader("Content-Type", "application/json;charset=UTF-8");
    ratingReq.setRequestHeader("Authorization", authorization);
    ratingReq.onload = function () {
        status = ratingReq.status;
        $('#btn-post').removeClass('btn-primary');
        $('#btn-post').attr('disabled', true);
        $('#btn-post').attr('aria-disabled', true);
        $('#btn-post').prop('disabled');
        $('#btn-post').addClass('disabled');
        $('#btn-post').removeClass('active');
        if (status === "201") {
            $('#btn-post').addClass('btn-success');
            $('#btn-post').html('Posted!');
        } else {
            $('#btn-post').addClass('btn-danger');
            $('#btn-post').html('Failed');
        };
    };
    ratingReq.send(JSON.stringify(params));
});

$( 'body' ).on( 'click', '#qcartifacts-group input', function(e) {
    if ( (Date.now() - timestamp) / 1000 > MINIMUM_RATING_TIME) {
        $('#btn-download').removeClass('disabled');
        $('#btn-download').removeAttr('aria-disabled');
        $('#btn-post').removeAttr('disabled');
    };
    
    var payload = read_form();
});

$( 'body' ).on( 'click', '#qcrating-toggler', function(e) {
    toggle_rating();
});
</script>
</div>

<script type="text/javascript">
function toggle(id) {
    var element = document.getElementById(id);
    if(element.style.display == 'block')
        element.style.display = 'none';
    else
        element.style.display = 'block';
}
</script>
</body>
</html><script>{let postHeight = () => {window.parent.postMessage({frameHeight: document.documentElement.offsetHeight || document.documentElement.scrollHeight}, '*')}; window.addEventListener('load', postHeight); window.addEventListener('message', (event) => {if (event.source === window.parent && event.data.requestOffsetHeight) postHeight()});}</script>