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Inferring resting-state connectivity patterns from functional magnetic resonance imaging (fMRI) data is a challenging task for any analytical technique. In this paper, we review a probabilistic independent component analysis (PICA) approach, optimized for the analysis of fMRI data, and discuss the role which this exploratory technique can take in scientific(More)
Inferring resting-state connectivity patterns from functional magnetic resonance imaging (FMRI) data is a challenging task for any analytical technique. In this paper we review a probabilistic independent component analysis (PICA) approach, optimised for the analysis of FMRI data (Beckmann and Smith, 2004), and discuss the role which this exploratory(More)
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