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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="datatype-figures_desc-stdev_run-02_subject-71_suffix-bold_task-split" 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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<small>Get figure file: <a href="./sub-71/figures/sub-71_task-split_run-02_desc-stdev_bold.svg" target="_blank">sub-71/figures/sub-71_task-split_run-02_desc-stdev_bold.svg</a></small>

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        <div id="datatype-figures_desc-background_run-02_subject-71_suffix-bold_task-split" class="ps-4 pe-4 mb-2">
<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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<small>Get figure file: <a href="./sub-71/figures/sub-71_task-split_run-02_desc-carpet_bold.svg" target="_blank">sub-71/figures/sub-71_task-split_run-02_desc-carpet_bold.svg</a></small>

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    <h1 class="sub-report-title pt-5 ps-4">Extended echo-wise reports</h1>
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<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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<small>Get figure file: <a href="./sub-71/figures/sub-71_task-split_run-02_desc-mean_bold.svg" target="_blank">sub-71/figures/sub-71_task-split_run-02_desc-mean_bold.svg</a></small>

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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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    <h1 class="sub-report-title pt-5 ps-4">About</h1>
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<h2 class="sub-report-group mt-4">Errors</h2>                    <p class="alert alert-success" role="alert">No errors to report!</p>
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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-71/func/sub-71_task-split_run-02_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>7586978dc111607792fada45ab799ac0</td></tr>
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      <table id="about-metadata-table-1" class="table table-sm table-striped">
<tr><td colspan=2>AcquisitionMatrixPE</td><td>64</td></tr>
<tr><td colspan=2>AcquisitionNumber</td><td>1</td></tr>
<tr><td colspan=2>AcquisitionTime</td><td>17:43:44.797500</td></tr>
<tr><td colspan=2>BandwidthPerPixelPhaseEncode</td><td>19.531</td></tr>
<tr><td colspan=2>BaseResolution</td><td>64</td></tr>
<tr><td colspan=2>CogAtlasID</td><td>http://www.cognitiveatlas.org/task/id/tsk_jbg1oF4D9OTkO/</td></tr>
<tr><td colspan=2>CoilString</td><td>C:HEA;HEP</td></tr>
<tr><td colspan=2>ConversionSoftware</td><td>dcm2niix</td></tr>
<tr><td colspan=2>ConversionSoftwareVersion</td><td>v1.0.20190902</td></tr>
<tr><td colspan=2>DerivedVendorReportedEchoSpacing</td><td>0.00080001</td></tr>
<tr><td colspan=2>DeviceSerialNumber</td><td>26099</td></tr>
<tr><td colspan=2>DwellTime</td><td>5.3e-06</td></tr>
<tr><td colspan=2>EchoTime</td><td>0.0548</td></tr>
<tr><td colspan=2>EffectiveEchoSpacing</td><td>0.00080001</td></tr>
<tr><td colspan=2>FlipAngle</td><td>75</td></tr>
<tr><td colspan=2>ImageComments</td><td>Unaliased_MB4_PE3_LB_SENSE1</td></tr>
<tr><td colspan=2>ImageOrientationPatientDICOM</td><td>[1, 2e-16, 0, -2e-16, 0.950516, -0.310676]</td></tr>
<tr><td colspan=2>ImageType</td><td>['ORIGINAL', 'PRIMARY', 'M', 'MB', 'ND', 'MOSAIC']</td></tr>
<tr><td colspan=2>ImagingFrequency</td><td>63.6394</td></tr>
<tr><td colspan=2>InPlanePhaseEncodingDirectionDICOM</td><td>COL</td></tr>
<tr><td colspan=2>InstitutionAddress</td><td>Bedford_Way_26_London_London_GB_WC1H_0AP</td></tr>
<tr><td colspan=2>InstitutionName</td><td>University_College</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>1.5</td></tr>
<tr><td colspan=2>Manufacturer</td><td>Siemens</td></tr>
<tr><td colspan=2>ManufacturersModelName</td><td>Avanto</td></tr>
<tr><td colspan=2>Modality</td><td>MR</td></tr>
<tr><td colspan=2>MultibandAccelerationFactor</td><td>4</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>PhaseEncodingDirection</td><td>j-</td></tr>
<tr><td colspan=2>PhaseEncodingSteps</td><td>64</td></tr>
<tr><td colspan=2>PhaseResolution</td><td>1</td></tr>
<tr><td colspan=2>PixelBandwidth</td><td>1474</td></tr>
<tr><td colspan=2>ProcedureStepDescription</td><td>ucl_bbk_Jeremy</td></tr>
<tr><td colspan=2>ProtocolName</td><td>EcL4-3.2m-40-1474-1s-55e</td></tr>
<tr><td colspan=2>PulseSequenceDetails</td><td>%CustomerSeq%_cmrr_mbep2d_bold</td></tr>
<tr><td colspan=2>ReceiveCoilName</td><td>32Ch_Head</td></tr>
<tr><td colspan=2>ReconMatrixPE</td><td>64</td></tr>
<tr><td colspan=2>RepetitionTime</td><td>1</td></tr>
<tr><td colspan=2>SAR</td><td>0.0422635</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_64</td></tr>
<tr><td colspan=2>SequenceVariant</td><td>SK_SS</td></tr>
<tr><td colspan=2>SeriesDescription</td><td>EcL4-3.2m-40-1474-1s-55e</td></tr>
<tr><td colspan=2>SeriesNumber</td><td>5</td></tr>
<tr><td colspan=2>ShimSetting</td><td>[155, -19, 396, 926, -380, 286, -255, 191]</td></tr>
<tr><td colspan=2>SliceThickness</td><td>3.2</td></tr>
<tr><td colspan=2>SliceTiming</td><td>[0, 0.7025, 0.4, 0.1, 0.8025, 0.5025, 0.2, 0.9025, 0.6025, 0.3, 0, 0.7025, 0.4, 0.1, 0.8025, 0.5025, 0.2, 0.9025, 0.6025, 0.3, 0, 0.7025, 0.4, 0.1, 0.8025, 0.5025, 0.2, 0.9025, 0.6025, 0.3, 0, 0.7025, 0.4, 0.1, 0.8025, 0.5025, 0.2, 0.9025, 0.6025, 0.3]</td></tr>
<tr><td colspan=2>SoftwareVersions</td><td>syngo_MR_B17</td></tr>
<tr><td colspan=2>SpacingBetweenSlices</td><td>3.2</td></tr>
<tr><td colspan=2>StationName</td><td>MRC26099</td></tr>
<tr><td colspan=2>TaskName</td><td>split</td></tr>
<tr><td colspan=2>TotalReadoutTime</td><td>0.0504006</td></tr>
<tr><td colspan=2>TxRefAmp</td><td>220.892</td></tr>
<tr><td>dcmmeta</td><td>affine</td><td>[[-3.203125, -6.40624994052057e-16, 1.9883291108516849e-16, 102.5], [-6.40624994052057e-16, 3.0446207523345947, -0.9941645860671997, -66.95829010009766], [0.0, 0.9951354265213013, 3.0416505336761475, -55.39140319824219], [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, 63.0], [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>[64, 64, 40, 1456]</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>
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</table>

      </div>
    </div>
  </div>


  <div class="accordion-item">
    <h2 class="accordion-header" id="about-metadata-2">
      <button class="accordion-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#about-metadata-2-collapse" aria-controls="about-metadata-2-collapse">
        Extracted Image quality metrics (IQMs)
      </button>
    </h2>
    <div id="about-metadata-2-collapse" class="accordion-collapse collapse" aria-labelledby="about-metadata-2-heading" data-bs-parent="#about-metadata-2">
      <div class="accordion-body metadata-table">
      <table id="about-metadata-table-2" class="table table-sm table-striped">
<tr><td colspan=3>aor</td><td>0.0048017719780219775</td></tr>
<tr><td colspan=3>aqi</td><td>0.017842716957417584</td></tr>
<tr><td colspan=3>dummy_trs</td><td>0</td></tr>
<tr><td>dvars</td><td colspan=2>nstd</td><td>27.351431581216442</td></tr>
<tr><td>dvars</td><td colspan=2>std</td><td>1.0449228798969061</td></tr>
<tr><td>dvars</td><td colspan=2>vstd</td><td>0.9854412013264622</td></tr>
<tr><td colspan=3>efc</td><td>0.506</td></tr>
<tr><td colspan=3>fber</td><td>30913.9297</td></tr>
<tr><td>fd</td><td colspan=2>mean</td><td>0.15208416264980723</td></tr>
<tr><td>fd</td><td colspan=2>num</td><td>212</td></tr>
<tr><td>fd</td><td colspan=2>perc</td><td>14.56043956043956</td></tr>
<tr><td>fwhm</td><td colspan=2>avg</td><td>3.6824547578438107</td></tr>
<tr><td>fwhm</td><td colspan=2>x</td><td>3.5528429268292685</td></tr>
<tr><td>fwhm</td><td colspan=2>y</td><td>3.7540839024390245</td></tr>
<tr><td>fwhm</td><td colspan=2>z</td><td>3.7404374442631387</td></tr>
<tr><td colspan=3>gcor</td><td>0.00777947</td></tr>
<tr><td>gsr</td><td colspan=2>x</td><td>-0.0006115008145570755</td></tr>
<tr><td>gsr</td><td colspan=2>y</td><td>0.05461663007736206</td></tr>
<tr><td>size</td><td colspan=2>t</td><td>1456</td></tr>
<tr><td>size</td><td colspan=2>x</td><td>64</td></tr>
<tr><td>size</td><td colspan=2>y</td><td>64</td></tr>
<tr><td>size</td><td colspan=2>z</td><td>40</td></tr>
<tr><td colspan=3>snr</td><td>2.334426838225546</td></tr>
<tr><td>spacing</td><td colspan=2>tr</td><td>1.0</td></tr>
<tr><td>spacing</td><td colspan=2>x</td><td>3.203125</td></tr>
<tr><td>spacing</td><td colspan=2>y</td><td>3.203125</td></tr>
<tr><td>spacing</td><td colspan=2>z</td><td>3.200000047683716</td></tr>
<tr><td>summary</td><td>bg</td><td>k</td><td>60.8078</td></tr>
<tr><td>summary</td><td>bg</td><td>mad</td><td>2.0019</td></tr>
<tr><td>summary</td><td>bg</td><td>mean</td><td>25.2204</td></tr>
<tr><td>summary</td><td>bg</td><td>median</td><td>2.0</td></tr>
<tr><td>summary</td><td>bg</td><td>n</td><td>117435.0</td></tr>
<tr><td>summary</td><td>bg</td><td>p05</td><td>1.0</td></tr>
<tr><td>summary</td><td>bg</td><td>p95</td><td>126.0</td></tr>
<tr><td>summary</td><td>bg</td><td>stdv</td><td>72.0369</td></tr>
<tr><td>summary</td><td>fg</td><td>k</td><td>-0.132</td></tr>
<tr><td>summary</td><td>fg</td><td>mad</td><td>186.9352</td></tr>
<tr><td>summary</td><td>fg</td><td>mean</td><td>461.3875</td></tr>
<tr><td>summary</td><td>fg</td><td>median</td><td>439.0</td></tr>
<tr><td>summary</td><td>fg</td><td>n</td><td>46405.0</td></tr>
<tr><td>summary</td><td>fg</td><td>p05</td><td>181.0</td></tr>
<tr><td>summary</td><td>fg</td><td>p95</td><td>797.0</td></tr>
<tr><td>summary</td><td>fg</td><td>stdv</td><td>188.0527</td></tr>
<tr><td colspan=3>tsnr</td><td>33.71880808728747</td></tr>
</table>

      </div>
    </div>
  </div>

</div>
        </div>
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                <input class="form-check-input" type="checkbox" name="wrap-around" id="qcartifacts-item-7" />
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                <input class="form-check-input" type="checkbox" name="inu" id="qcartifacts-item-10" />
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<script type="text/javascript">
var MINIMUM_RATING_TIME = 10
$('#qcslider').on('input', function() {

    if ( (Date.now() - timestamp) / 1000 > MINIMUM_RATING_TIME) {
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$('#qcextra-confidence').on('input', function() {
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$( '#btn-post' ).click( function() {
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    // disable development releases
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        $('#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>