Network component analysis reveals developmental trajectories of structural connectivity and specific alterations in autism spectrum disorder.

ABSTRACT: The structural organization of the brain can be characterized as a hierarchical ensemble of segregated modules linked by densely interconnected hub regions that facilitate distributed functional interactions. Disturbances to this network may be an important marker of abnormal development. Recently, several neurodevelopmental disorders, including autism spectrum disorder (ASD), have been framed as disorders of connectivity but the full nature and timing of these disturbances remain unclear. In this study, we use non-negative matrix factorization, a data-driven, multivariate approach, to model the structural network architecture of the brain as a set of superposed subnetworks, or network components. In an openly available dataset of 196 subjects scanned between 5 and 85 years we identify a s

SUBMITTER: Ball G 

PROVIDER: S-EPMC6866922 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature