The community structure of functional brain networks exhibits scale-specific patterns of inter- and intra-subject variability.

ABSTRACT: The network organization of the human brain varies across individuals, changes with development and aging, and differs in disease. Discovering the major dimensions along which this variability is displayed remains a central goal of both neuroscience and clinical medicine. Such efforts can be usefully framed within the context of the brain's modular network organization, which can be assessed quantitatively using computational techniques and extended for the purposes of multi-scale analysis, dimensionality reduction, and biomarker generation. Although the concept of modularity and its utility in describing brain network organization is clear, principled methods for comparing multi-scale communities across individuals and time are surprisingly lacking. Here, we present a method that uses mul

SUBMITTER: Betzel RF 

PROVIDER: S-EPMC7734597 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature