Mapping the community structure of the rat cerebral cortex with weighted stochastic block modeling.

ABSTRACT: The anatomical architecture of the mammalian brain can be modeled as the connectivity between functionally distinct areas of cortex and sub-cortex, which we refer to as the connectome. The community structure of the connectome describes how the network can be parsed into meaningful groups of nodes. This process, called community detection, is commonly carried out to find internally densely connected communities-a modular topology. However, other community structure patterns are possible. Here we employ the weighted stochastic block model (WSBM), which can identify a wide range of topologies, to the rat cerebral cortex connectome, to probe the network for evidence of modular, core, periphery, and disassortative organization. Despite its algorithmic flexibility, the WSBM identifies substanti

SUBMITTER: Faskowitz J 

PROVIDER: S-EPMC11220483 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature