ds005256-mriqc/sub-0122_ses-02_task-narratives_acq-mb8_run-02_bold.html
Felix Hoffstaedter 59121b2004 [DATALAD RUNCMD] Compute MRIQC for sub-0122
=== Do not change lines below ===
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^^^ Do not change lines above ^^^
2025-09-18 18:18:32 +02:00

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<title>sub-0122_ses-02_task-narratives_acq-mb8_run-02_bold :: MRIQC's BOLD fMRI report</title>
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<li class="nav-item"><a class="nav-link" href="#Basic echo-wise reports">Basic echo-wise reports</a></li>
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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-02_session-02_subject-0122_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">
<img class="svg-reportlet" src="./sub-0122/figures/sub-0122_ses-02_task-narratives_acq-mb8_run-02_desc-stdev_bold.svg" style="width: 100%" />
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<small>Get figure file: <a href="./sub-0122/figures/sub-0122_ses-02_task-narratives_acq-mb8_run-02_desc-stdev_bold.svg" target="_blank">sub-0122/figures/sub-0122_ses-02_task-narratives_acq-mb8_run-02_desc-stdev_bold.svg</a></small>
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<div id="acquisition-mb8_datatype-figures_desc-background_run-02_session-02_subject-0122_suffix-bold_task-narratives" 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">
<img class="svg-reportlet" src="./sub-0122/figures/sub-0122_ses-02_task-narratives_acq-mb8_run-02_desc-background_bold.svg" style="width: 100%" />
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<small>Get figure file: <a href="./sub-0122/figures/sub-0122_ses-02_task-narratives_acq-mb8_run-02_desc-background_bold.svg" target="_blank">sub-0122/figures/sub-0122_ses-02_task-narratives_acq-mb8_run-02_desc-background_bold.svg</a></small>
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<div id="acquisition-mb8_datatype-figures_desc-zoomed_run-02_session-02_subject-0122_suffix-bold_task-narratives" class="ps-4 pe-4 mb-2">
<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">
<img class="svg-reportlet" src="./sub-0122/figures/sub-0122_ses-02_task-narratives_acq-mb8_run-02_desc-zoomed_bold.svg" style="width: 100%" />
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<small>Get figure file: <a href="./sub-0122/figures/sub-0122_ses-02_task-narratives_acq-mb8_run-02_desc-zoomed_bold.svg" target="_blank">sub-0122/figures/sub-0122_ses-02_task-narratives_acq-mb8_run-02_desc-zoomed_bold.svg</a></small>
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<div id="acquisition-mb8_datatype-figures_desc-carpet_run-02_session-02_subject-0122_suffix-bold_task-narratives" class="ps-4 pe-4 mb-2">
<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">
<img class="svg-reportlet" src="./sub-0122/figures/sub-0122_ses-02_task-narratives_acq-mb8_run-02_desc-carpet_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-0122/figures/sub-0122_ses-02_task-narratives_acq-mb8_run-02_desc-carpet_bold.svg" target="_blank">sub-0122/figures/sub-0122_ses-02_task-narratives_acq-mb8_run-02_desc-carpet_bold.svg</a></small>
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<div id="Extended echo-wise reports" class="mt-5">
<h1 class="sub-report-title pt-5 ps-4">Extended echo-wise reports</h1>
<div id="acquisition-mb8_datatype-figures_desc-mean_run-02_session-02_subject-0122_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">
<img class="svg-reportlet" src="./sub-0122/figures/sub-0122_ses-02_task-narratives_acq-mb8_run-02_desc-mean_bold.svg" style="width: 100%" />
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<small>Get figure file: <a href="./sub-0122/figures/sub-0122_ses-02_task-narratives_acq-mb8_run-02_desc-mean_bold.svg" target="_blank">sub-0122/figures/sub-0122_ses-02_task-narratives_acq-mb8_run-02_desc-mean_bold.svg</a></small>
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<div id="Extended reports shared across echos" class="mt-5">
<h1 class="sub-report-title pt-5 ps-4">Extended reports shared across echos</h1>
<div id="acquisition-mb8_datatype-figures_desc-brainmask_run-02_session-02_subject-0122_suffix-bold_task-narratives" class="ps-4 pe-4 mb-2">
<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">
<img class="svg-reportlet" src="./sub-0122/figures/sub-0122_ses-02_task-narratives_acq-mb8_run-02_desc-brainmask_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-0122/figures/sub-0122_ses-02_task-narratives_acq-mb8_run-02_desc-brainmask_bold.svg" target="_blank">sub-0122/figures/sub-0122_ses-02_task-narratives_acq-mb8_run-02_desc-brainmask_bold.svg</a></small>
</div>
<div id="acquisition-mb8_datatype-figures_desc-norm_run-02_session-02_subject-0122_suffix-bold_task-narratives" class="ps-4 pe-4 mb-2">
<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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<small>Get figure file: <a href="./sub-0122/figures/sub-0122_ses-02_task-narratives_acq-mb8_run-02_desc-norm_bold.svg" target="_blank">sub-0122/figures/sub-0122_ses-02_task-narratives_acq-mb8_run-02_desc-norm_bold.svg</a></small>
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<div id="About" class="mt-5">
<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
reconstructing the provenance of the corresponding derivatives.
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Provenance Information
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<table id="about-metadata-table-0" class="table table-sm table-striped">
<tr><td colspan=2>Execution environment</td><td>singularity</td></tr>
<tr><td colspan=2>Input filename</td><td><BIDS root>/sub-0122/ses-02/func/sub-0122_ses-02_task-narratives_acq-mb8_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>18b69d52c3bc8aa636258685d7b80b68</td></tr>
</table>
</div>
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Dataset Information
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<div class="accordion-body metadata-table">
<table id="about-metadata-table-1" class="table table-sm table-striped">
<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>20:59:11.877500</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>[0.999735, 0.0226404, 0.00416075, -0.0228617, 0.997657, 0.0644778]</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-02_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>0.0820485</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-02_task-narratives_acq-ap-mb8</td></tr>
<tr><td colspan=2>SeriesNumber</td><td>10</td></tr>
<tr><td colspan=2>ShimSetting</td><td>[4229, -7635, -7101, 878, -170, 296, -456, 76]</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, 0.125, 0.3775, 0.1875, 0, 0.2525, 0.0625, 0.315, 0.125, 0.3775, 0.1875, 0, 0.2525, 0.0625, 0.315, 0.125, 0.3775, 0.1875, 0, 0.2525, 0.0625, 0.315, 0.125, 0.3775, 0.1875, 0, 0.2525, 0.0625, 0.315, 0.125, 0.3775, 0.1875, 0, 0.2525, 0.0625, 0.315, 0.125, 0.3775, 0.1875, 0, 0.2525, 0.0625, 0.315, 0.125, 0.3775, 0.1875, 0, 0.2525, 0.0625, 0.315, 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>narratives</td></tr>
<tr><td colspan=2>TotalReadoutTime</td><td>0.03969</td></tr>
<tr><td colspan=2>TxRefAmp</td><td>232.155</td></tr>
<tr><td colspan=2>WipMemBlock</td><td>a7063e82-0391-434a-9096-d9fc8f5433d2||Sequence: R016 ve11e/master r/434b28f1; Aug 7 2019 18:53:46 by eja</td></tr>
<tr><td>dcmmeta</td><td>affine</td><td>[[-2.682215929031372, -0.06133631244301796, 0.007266220636665821, 112.47217559814453], [-0.06074260175228119, 2.6766414642333984, 0.17430077493190765, -97.40086364746094], [0.011162974871695042, -0.17298923432826996, 2.6943583488464355, -53.669227600097656], [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, 1098]</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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10235.0, 10263.0, 10233.0, 10261.0, 10253.0, 10231.0, 10282.0, 10257.0, 10263.0, 10271.0, 10248.0, 10285.0, 10271.0, 10291.0, 10289.0, 10255.0, 10286.0, 10269.0, 10271.0, 10288.0, 10275.0, 10306.0, 10275.0, 10286.0, 10278.0, 10278.0, 10335.0, 10301.0]}, 'slices': {}}</td></tr>
</table>
</div>
</div>
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<h2 class="accordion-header" id="about-metadata-2">
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Extracted Image quality metrics (IQMs)
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<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>0.0002022191780821918</td></tr>
<tr><td colspan=3>aqi</td><td>0.01699520292237443</td></tr>
<tr><td colspan=3>dummy_trs</td><td>3</td></tr>
<tr><td>dvars</td><td colspan=2>nstd</td><td>38.88857220129799</td></tr>
<tr><td>dvars</td><td colspan=2>std</td><td>1.2188539275319905</td></tr>
<tr><td>dvars</td><td colspan=2>vstd</td><td>0.9875350844515532</td></tr>
<tr><td colspan=3>efc</td><td>0.4809</td></tr>
<tr><td colspan=3>fber</td><td>6256.0947</td></tr>
<tr><td>fd</td><td colspan=2>mean</td><td>0.08222719769155883</td></tr>
<tr><td>fd</td><td colspan=2>num</td><td>22</td></tr>
<tr><td>fd</td><td colspan=2>perc</td><td>2.009132420091324</td></tr>
<tr><td>fwhm</td><td colspan=2>avg</td><td>2.2958056937248603</td></tr>
<tr><td>fwhm</td><td colspan=2>x</td><td>2.321352853745544</td></tr>
<tr><td>fwhm</td><td colspan=2>y</td><td>2.453186486966022</td></tr>
<tr><td>fwhm</td><td colspan=2>z</td><td>2.112877740463014</td></tr>
<tr><td colspan=3>gcor</td><td>0.0106039</td></tr>
<tr><td>gsr</td><td colspan=2>x</td><td>-0.012151774019002914</td></tr>
<tr><td>gsr</td><td colspan=2>y</td><td>0.02544618584215641</td></tr>
<tr><td>size</td><td colspan=2>t</td><td>1095</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>4.2348142402326205</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>23.6166</td></tr>
<tr><td>summary</td><td>bg</td><td>mad</td><td>44.0069</td></tr>
<tr><td>summary</td><td>bg</td><td>mean</td><td>195.5177</td></tr>
<tr><td>summary</td><td>bg</td><td>median</td><td>51.0</td></tr>
<tr><td>summary</td><td>bg</td><td>n</td><td>297159.0</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>953.0</td></tr>
<tr><td>summary</td><td>bg</td><td>stdv</td><td>405.0408</td></tr>
<tr><td>summary</td><td>fg</td><td>k</td><td>2.964</td></tr>
<tr><td>summary</td><td>fg</td><td>mad</td><td>599.7054</td></tr>
<tr><td>summary</td><td>fg</td><td>mean</td><td>3926.8826</td></tr>
<tr><td>summary</td><td>fg</td><td>median</td><td>4071.0</td></tr>
<tr><td>summary</td><td>fg</td><td>n</td><td>79385.0</td></tr>
<tr><td>summary</td><td>fg</td><td>p05</td><td>1672.0</td></tr>
<tr><td>summary</td><td>fg</td><td>p95</td><td>5113.0</td></tr>
<tr><td>summary</td><td>fg</td><td>stdv</td><td>961.3112</td></tr>
<tr><td colspan=3>tsnr</td><td>46.22503454843536</td></tr>
</table>
</div>
</div>
</div>
</div>
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</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>