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It has been know for at least one decade  that functional MRI time series display long-memory properties, such as power-law scaling in the frequency spectrum. Concomitantly, multivariate modelfree analysis of spatial patterns , such as spatial Independent Component Analysis (sICA) , has been successfully used to segment from spontaneous activity Resting-State Networks (RSN) that correspond to known brain function. As recent neuroscientific studies suggest a link between spectraldoi:10.1109/isbi.2011.5872448 dblp:conf/isbi/CiuciuVAA11 fatcat:ojhyjzsqejau7bxyxrgtj43pla