Network-Level Structure-Function Relationships in Human Neocortex.

ABSTRACT: The dynamics of spontaneous fluctuations in neural activity are shaped by underlying patterns of anatomical connectivity. While numerous studies have demonstrated edge-wise correspondence between structural and functional connections, much less is known about how large-scale coherent functional network patterns emerge from the topology of structural networks. In the present study, we deploy a multivariate statistical technique, partial least squares, to investigate the association between spatially extended structural networks and functional networks. We find multiple statistically robust patterns, reflecting reliable combinations of structural and functional subnetworks that are optimally associated with one another. Importantly, these patterns generally do not show a one-to-one correspon

SUBMITTER: Misic B 

PROVIDER: S-EPMC4898678 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature