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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-03_session-03_subject-0082_suffix-bold_task-social" 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-03_session-03_subject-0082_suffix-bold_task-social" 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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    <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-0082/ses-03/func/sub-0082_ses-03_task-social_acq-mb8_run-03_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>649adb86b1c4e77877ee766ee8ca4d13</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>17:33:33.972500</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>[0.997176, -0.00511715, 0.074925, 0.00887629, 0.998713, -0.0499253]</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>123.252</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-03_task-social_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>0.0963451</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-03_task-social_acq-ap-mb8</td></tr>
<tr><td colspan=2>SeriesNumber</td><td>12</td></tr>
<tr><td colspan=2>ShimSetting</td><td>[4190, -7816, -7247, 573, 44, -296, 91, -23]</td></tr>
<tr><td colspan=2>SliceThickness</td><td>2.7</td></tr>
<tr><td colspan=2>SliceTiming</td><td>[0, 0.25, 0.0625, 0.3125, 0.125, 0.3775, 0.1875, 0, 0.25, 0.0625, 0.3125, 0.125, 0.3775, 0.1875, 0, 0.25, 0.0625, 0.3125, 0.125, 0.3775, 0.1875, 0, 0.25, 0.0625, 0.3125, 0.125, 0.3775, 0.1875, 0, 0.25, 0.0625, 0.3125, 0.125, 0.3775, 0.1875, 0, 0.25, 0.0625, 0.3125, 0.125, 0.3775, 0.1875, 0, 0.25, 0.0625, 0.3125, 0.125, 0.3775, 0.1875, 0, 0.25, 0.0625, 0.3125, 0.125, 0.3775, 0.1875]</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>social</td></tr>
<tr><td colspan=2>TotalReadoutTime</td><td>0.03969</td></tr>
<tr><td colspan=2>TxRefAmp</td><td>232.752</td></tr>
<tr><td colspan=2>WipMemBlock</td><td>68171102-bb74-485d-985b-839122040d41||Sequence: R016 ve11e/master r/434b28f1; Aug  7 2019 18:53:46 by eja</td></tr>
<tr><td>dcmmeta</td><td>affine</td><td>[[-2.6753504276275635, 0.023814434185624123, 0.20134741067886353, 102.0378646850586], [0.013728948310017586, 2.6794753074645996, -0.13621331751346588, -95.58316802978516], [0.20101822912693024, 0.13394595682621002, 2.6890342235565186, -78.93635559082031], [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, 872]</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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  <div class="accordion-item">
    <h2 class="accordion-header" id="about-metadata-2">
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        Extracted Image quality metrics (IQMs)
      </button>
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    <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>0.00731415137614679</td></tr>
<tr><td colspan=3>aqi</td><td>0.05719375596330275</td></tr>
<tr><td colspan=3>dummy_trs</td><td>0</td></tr>
<tr><td>dvars</td><td colspan=2>nstd</td><td>40.529139920424775</td></tr>
<tr><td>dvars</td><td colspan=2>std</td><td>1.1930284629391483</td></tr>
<tr><td>dvars</td><td colspan=2>vstd</td><td>1.05563221087256</td></tr>
<tr><td colspan=3>efc</td><td>0.4638</td></tr>
<tr><td colspan=3>fber</td><td>4775.1948</td></tr>
<tr><td>fd</td><td colspan=2>mean</td><td>0.16558335725089576</td></tr>
<tr><td>fd</td><td colspan=2>num</td><td>199</td></tr>
<tr><td>fd</td><td colspan=2>perc</td><td>22.821100917431192</td></tr>
<tr><td>fwhm</td><td colspan=2>avg</td><td>2.8029784728361737</td></tr>
<tr><td>fwhm</td><td colspan=2>x</td><td>2.7122580262438203</td></tr>
<tr><td>fwhm</td><td colspan=2>y</td><td>3.059729290686733</td></tr>
<tr><td>fwhm</td><td colspan=2>z</td><td>2.636948101577969</td></tr>
<tr><td colspan=3>gcor</td><td>0.0105796</td></tr>
<tr><td>gsr</td><td colspan=2>x</td><td>-0.010365660302340984</td></tr>
<tr><td>gsr</td><td colspan=2>y</td><td>0.030841082334518433</td></tr>
<tr><td>size</td><td colspan=2>t</td><td>872</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>3.6299436498717896</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>2.700000047683716</td></tr>
<tr><td>summary</td><td>bg</td><td>k</td><td>20.1933</td></tr>
<tr><td>summary</td><td>bg</td><td>mad</td><td>42.9666</td></tr>
<tr><td>summary</td><td>bg</td><td>mean</td><td>170.0799</td></tr>
<tr><td>summary</td><td>bg</td><td>median</td><td>48.0</td></tr>
<tr><td>summary</td><td>bg</td><td>n</td><td>307570.0</td></tr>
<tr><td>summary</td><td>bg</td><td>p05</td><td>15.0</td></tr>
<tr><td>summary</td><td>bg</td><td>p95</td><td>782.0</td></tr>
<tr><td>summary</td><td>bg</td><td>stdv</td><td>314.1632</td></tr>
<tr><td>summary</td><td>fg</td><td>k</td><td>1.5242</td></tr>
<tr><td>summary</td><td>fg</td><td>mad</td><td>516.1081</td></tr>
<tr><td>summary</td><td>fg</td><td>mean</td><td>3088.9336</td></tr>
<tr><td>summary</td><td>fg</td><td>median</td><td>3334.0</td></tr>
<tr><td>summary</td><td>fg</td><td>n</td><td>68974.0</td></tr>
<tr><td>summary</td><td>fg</td><td>p05</td><td>874.0</td></tr>
<tr><td>summary</td><td>fg</td><td>p95</td><td>4099.0</td></tr>
<tr><td>summary</td><td>fg</td><td>stdv</td><td>918.4649</td></tr>
<tr><td colspan=3>tsnr</td><td>25.70583970856387</td></tr>
</table>

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

</div>
        </div>
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                <input class="form-check-input" type="checkbox" name="inu" id="qcartifacts-item-10" />
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                <input class="form-check-input" type="checkbox" name="uncategorized" id="qcartifacts-item-13" />
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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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$( '#btn-post' ).click( function() {
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    var md5sum = "unspecified";
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        'comment': JSON.stringify(payload['artifacts'])
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    // disable development releases
    var authorization = $(this).val();
    var ratingReq = new XMLHttpRequest();
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        } 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>