From da46c9d7f03e9bbb973da91250fb76772f261007 Mon Sep 17 00:00:00 2001 From: oesteban Date: Mon, 29 Apr 2019 15:25:09 -0700 Subject: [PATCH] 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 --- niworkflows/reports/fmriprep.yml | 15 +++++++++++++++ 1 file changed, 15 insertions(+) diff --git a/niworkflows/reports/fmriprep.yml b/niworkflows/reports/fmriprep.yml index 6eae1ed404c..2ea7ea02185 100644 --- a/niworkflows/reports/fmriprep.yml +++ b/niworkflows/reports/fmriprep.yml @@ -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 + t/aCompCor decomposition, plotted for all values of k. + 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 flirt was used to generate transformations from EPI space to T1 Space - BBR refinement rejected. Note that Nearest Neighbor interpolation