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Region of interest based independent component analysis

Keck, I. R. ; Churan, J. ; Theis, Fabian J. ; Gruber, Peter ; Lang, Elmar ; Puntonet, Carlos G. King, Irwin , eds.



Abstract

The over-complete case remains a difficult problem in the field of independent component analysis (ICA). In this article we combine a technique called “region of interest” (ROI) with a standard complete ICA. We show how to create a mask using ICA, then using the masked data for a second ICA. At the same time this method eliminates a commonly necessary model-based step in fMRI data analysis. We also demonstrate our approach on a real world fMRI data set example.


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