The development of structural covariance networks during the transition from childhood to adolescence.

ABSTRACT: Structural covariance conceptualizes how morphologic properties of brain regions are related to one another (across individuals). It can provide unique information to cortical structure (e.g., thickness) about the development of functionally meaningful networks. The current study investigated how structural covariance networks develop during the transition from childhood to adolescence, a period characterized by marked structural re-organization. Participants (N = 192; scans = 366) completed MRI assessments between 8.5 and 14.5 years of age. A sliding window approach was used to create "age-bins", and structural covariance networks (based on cortical thickness) were created for each bin. Next, generalized additive models were used to characterize trajectories of age-related changes in netw

SUBMITTER: Vijayakumar N 

PROVIDER: S-EPMC8097025 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature