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Data are cleaned using ICA-FIX and then MSMAll aligned
A dimensionality reduction step is performed with a group spatial ICA (sICA) with 137 components (probably a method is needed to estimate this dimensionality on new data)
Individual sICA components are created using weighted spatial regression (where weights are a measure of alignment quality)
Temporal ICA is performed on the concatenated individual sICA component time-courses (using FAST-ICA)
The number of temporal components is computed with ICASSO
We should implement this
temporal ICA approach as an alternative to GSR
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