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Model-free Region Of Interest Based Analysis of fMRI Data

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


Blind source separation is being established as a new kind of analysis method in the field of fMRI data analysis. Its model-free approach renders it an important tool for investigation. In this article we present a method based on BSS/ICA to create a region of interest (ROI) mask for a BSS based fMRI data analysis. This eliminates a commonly necessary model-based step in fMRI data analysis. We demonstrate our approach on a real world fMRI data set example.

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