Psychophysiological whole-brain network clustering based on connectivity dynamics analysis in naturalistic conditions.
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ABSTRACT: We introduce a novel method for delineating context-dependent functional brain networks whose connectivity dynamics are synchronized with the occurrence of a specific psychophysiological process of interest. In this method of context-related network dynamics analysis (CRNDA), a continuous psychophysiological index serves as a reference for clustering the whole-brain into functional networks. We applied CRNDA to fMRI data recorded during the viewing of a sadness-inducing film clip. The method reliably demarcated networks in which temporal patterns of connectivity related to the time series of reported emotional intensity. Our work successfully replicated the link between network connectivity and emotion rating in an independent sample group for seven of the networks. The demarcated networks
SUBMITTER: Raz G
PROVIDER: S-EPMC6867387 | biostudies-literature | 2016 Dec
REPOSITORIES: biostudies-literature
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