Multivariate information theory uncovers synergistic subsystems of the human cerebral cortex.

ABSTRACT: One of the most well-established tools for modeling the brain is the functional connectivity network, which is constructed from pairs of interacting brain regions. While powerful, the network model is limited by the restriction that only pairwise dependencies are considered and potentially higher-order structures are missed. Here, we explore how multivariate information theory reveals higher-order dependencies in the human brain. We begin with a mathematical analysis of the O-information, showing analytically and numerically how it is related to previously established information theoretic measures of complexity. We then apply the O-information to brain data, showing that synergistic subsystems are widespread in the human brain. Highly synergistic subsystems typically sit between canonical

SUBMITTER: Varley TF 

PROVIDER: S-EPMC10125999 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature