Path-dependent connectivity, not modularity, consistently predicts controllability of structural brain networks.

ABSTRACT: The human brain displays rich communication dynamics that are thought to be particularly well-reflected in its marked community structure. Yet, the precise relationship between community structure in structural brain networks and the communication dynamics that can emerge therefrom is not well understood. In addition to offering insight into the structure-function relationship of networked systems, such an understanding is a critical step toward the ability to manipulate the brain's large-scale dynamical activity in a targeted manner. We investigate the role of community structure in the controllability of structural brain networks. At the region level, we find that certain network measures of community structure are sometimes statistically correlated with measures of linear controllabilit

SUBMITTER: Patankar SP 

PROVIDER: S-EPMC7655114 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature