Philosophical Transactions of the Royal Society, Special Issue on ’Multimodal neuroimaging of brain connectivity’)

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Summary

A probabilistic independent component analysis approach, optimized for the analysis of fMRI data, is reviewed and it is demonstrated that this is an effective and robust tool for the identification of low-frequency resting-state patterns from data acquired at various different spatial and temporal resolutions.

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