Insights into Brain Architectures from the Homological Scaffolds of Functional Connectivity Networks.

ABSTRACT: In recent years, the application of network analysis to neuroimaging data has provided useful insights about the brain's functional and structural organization in both health and disease. This has proven a significant paradigm shift from the study of individual brain regions in isolation. Graph-based models of the brain consist of vertices, which represent distinct brain areas, and edges which encode the presence (or absence) of a structural or functional relationship between each pair of vertices. By definition, any graph metric will be defined upon this dyadic representation of the brain activity. It is however unclear to what extent these dyadic relationships can capture the brain's complex functional architecture and the encoding of information in distributed networks. Moreover, becaus

SUBMITTER: Lord LD 

PROVIDER: S-EPMC5099524 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature