Localization of brain activity  blind separation for fMRI data
Functional Magnetic Resonance Imaging (fMRI) is a promising method to determine noninvasively the spatial distribution of brain activity under a given paradigm, e.g. in response to certain stimuli. In the context of a motor task experiment we discuss methods for analyzing fMRI data based on principal and independent component analysis with respect to their capabilities of separating noise sources from functional activity.
functional magnetic resonance imaging (fmri) principal component analysis (pca) independent component analysis (ica)