Weighted Stochastic Block Models of the Human Connectome across the Life Span.

ABSTRACT: The human brain can be described as a complex network of anatomical connections between distinct areas, referred to as the human connectome. Fundamental characteristics of connectome organization can be revealed using the tools of network science and graph theory. Of particular interest is the network's community structure, commonly identified by modularity maximization, where communities are conceptualized as densely intra-connected and sparsely inter-connected. Here we adopt a generative modeling approach called weighted stochastic block models (WSBM) that can describe a wider range of community structure topologies by explicitly considering patterned interactions between communities. We apply this method to the study of changes in the human connectome that occur across the life span (be

SUBMITTER: Faskowitz J 

PROVIDER: S-EPMC6115421 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature