Multi-scale integration and predictability in resting state brain activity.

ABSTRACT: The human brain displays heterogeneous organization in both structure and function. Here we develop a method to characterize brain regions and networks in terms of information-theoretic measures. We look at how these measures scale when larger spatial regions as well as larger connectome sub-networks are considered. This framework is applied to human brain fMRI recordings of resting-state activity and DSI-inferred structural connectivity. We find that strong functional coupling across large spatial distances distinguishes functional hubs from unimodal low-level areas, and that this long-range functional coupling correlates with structural long-range efficiency on the connectome. We also find a set of connectome regions that are both internally integrated and coupled to the rest of the brai

SUBMITTER: Kolchinsky A 

PROVIDER: S-EPMC4109611 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature