Measuring embeddedness: Hierarchical scale-dependent information exchange efficiency of the human brain connectome.

ABSTRACT: This article presents a novel approach for understanding information exchange efficiency and its decay across hierarchies of modularity, from local to global, of the structural human brain connectome. Magnetic resonance imaging techniques have allowed us to study the human brain connectivity as a graph, which can then be analyzed using a graph-theoretical approach. Collectively termed brain connectomics, these sophisticated mathematical techniques have revealed that the brain connectome, like many networks, is highly modular and brain regions can thus be organized into communities or modules. Here, using tractography-informed structural connectomes from 46 normal healthy human subjects, we constructed the hierarchical modularity of the structural connectome using bifurcating dendrograms. M

SUBMITTER: Ye AQ 

PROVIDER: S-EPMC4898972 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature