The role of nonlinearity in computing graph-theoretical properties of resting-state functional magnetic resonance imaging brain networks.

Abstract

In recent years, there has been an increasing interest in the study of large-scale brain activity interaction structure from the perspective of complex networks, based on functional magnetic resonance imaging (fMRI) measurements. To assess the strength of interaction (functional connectivity, FC) between two brain regions, the linear (Pearson) correlation… (More)
DOI: 10.1063/1.3553181

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