Behavioural relevance of spontaneous, transient brain network interactions in fMRI.

ABSTRACT: How spontaneously fluctuating functional magnetic resonance imaging (fMRI) signals in different brain regions relate to behaviour has been an open question for decades. Correlations in these signals, known as functional connectivity, can be averaged over several minutes of data to provide a stable representation of the functional network architecture for an individual. However, associations between these stable features and behavioural traits have been shown to be dominated by individual differences in anatomy. Here, using kernel learning tools, we propose methods to assess and compare the relation between time-varying functional connectivity, time-averaged functional connectivity, structural brain data, and non-imaging subject behavioural traits. We applied these methods to Human Connecto

SUBMITTER: Vidaurre D 

PROVIDER: S-EPMC7994296 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature