fix(reports): Add new confounds model to reports template
This PR updates the fMRIPrep report specification to include derivatives
generated in the context of poldracklab/fmriprep#1586
@@ -64,6 +64,21 @@ sections:
desc: '[at]compcor'
extensions: [.html]
suffix: bold
+ - bids: {datatype: func, desc: '[at]compcorvar', suffix: bold}
+ 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.
+ - bids: {datatype: func, desc: 'confoundcorr', suffix: bold}
+ caption: |
+ Left: Heatmap summarizing the correlation structure among confound variables.
+ (Cosine bases and PCA-derived CompCor components are inherently orthogonal.)
+ Right: magnitude of the correlation between each confound time series and the
+ mean global signal. Strong correlations might be indicative of partial volume
+ effects and can inform decisions about feature orthogonalization prior to
+ confound regression.
+ subtitle: Correlations among nuisance regressors
- bids: {datatype: func, desc: flirtnobbr, suffix: bold}
caption: FSL <code>flirt</code> was used to generate transformations from EPI
space to T1 Space - BBR refinement rejected. Note that Nearest Neighbor interpolation
