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DOC: Modify the text of the report to include crownCompCor informations
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docs/_static/SampleReport/sample_report.html

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@@ -165,15 +165,15 @@ <h3 class="run-title">Alignment of functional and anatomical MRI data (surface d
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<h3 class="run-title">Brain mask and (anatomical/temporal) CompCor ROIs</h3><p class="elem-caption">Brain mask calculated on the BOLD signal (red contour), along with the regions of interest (ROIs) used in <em>a/tCompCor</em> for extracting physiological and movement confounding components.<br /> The <em>anatomical CompCor</em> ROI (magenta contour) is a mask combining CSF and WM (white-matter), where voxels containing a minimal partial volume of GM have been removed.<br /> The <em>temporal CompCor</em> ROI (blue contour) contains the top 2% most variable voxels within the brain mask.</p> <img class="svg-reportlet" src="./figures/sub-10_task-mixedgamblestask_run-1_desc-rois_bold.svg" style="width: 100%" />
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<h3 class="run-title">Brain mask and (anatomical/crown/temporal) CompCor ROIs</h3><p class="elem-caption">Brain mask calculated on the BOLD signal (red contour), along with the regions of interest (ROIs) used in <em>a/crown/tCompCor</em> for extracting physiological and movement confounding components.<br /> The <em>anatomical CompCor</em> ROI (magenta contour) is a mask combining CSF and WM (white-matter), where voxels containing a minimal partial volume of GM have been removed.<br /> <br /> The <em>crown CompCor</em> ROI (coral contour) corresponds to the crown mask, that is voxels in a closed band around the brain.<br />The <em>temporal CompCor</em> ROI (blue contour) contains the top 2% most variable voxels within the brain mask.</p> <img class="svg-reportlet" src="./figures/sub-10_task-mixedgamblestask_run-1_desc-rois_bold.svg" style="width: 100%" />
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Get figure file: <a href="./figures/sub-10_task-mixedgamblestask_run-1_desc-rois_bold.svg" target="_blank">figures/sub-10_task-mixedgamblestask_run-1_desc-rois_bold.svg</a>
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<h3 class="run-title">Variance explained by t/aCompCor components</h3><p class="elem-caption">The cumulative variance explained by the first k components of the <em>t/aCompCor</em> decomposition, plotted for all values of <em>k</em>. The number of components that must be included in the model in order to explain some fraction of variance in the decomposition mask can be used as a feature selection criterion for confound regression.</p> <img class="svg-reportlet" src="./figures/sub-10_task-mixedgamblestask_run-1_desc-compcorvar_bold.svg" style="width: 100%" />
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<h3 class="run-title">Variance explained by a/crown/tCompCor components</h3><p class="elem-caption">The cumulative variance explained by the first k components of the <em>a/crown/tCompCor</em> decomposition, plotted for all values of <em>k</em>. The number of components that must be included in the model in order to explain some fraction of variance in the decomposition mask can be used as a feature selection criterion for confound regression.</p> <img class="svg-reportlet" src="./figures/sub-10_task-mixedgamblestask_run-1_desc-compcorvar_bold.svg" style="width: 100%" />
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Get figure file: <a href="./figures/sub-10_task-mixedgamblestask_run-1_desc-compcorvar_bold.svg" target="_blank">figures/sub-10_task-mixedgamblestask_run-1_desc-compcorvar_bold.svg</a>

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