Test-Retest Reliability of Graph Theoretic Metrics in Adolescent Brains.

ABSTRACT: Graph theory analysis of structural brain networks derived from diffusion tensor imaging (DTI) has become a popular analytical method in neuroscience, enabling advanced investigations of neurological and psychiatric disorders. The purpose of this study was to investigate (1) the effects of edge weighting schemes and (2) the effects of varying interscan periods on graph metrics within the adolescent brain. We compared a binary (B) network definition with three weighting schemes: fractional anisotropy (FA), streamline count, and streamline count with density and length correction (SDL). Two commonly used global and two local graph metrics were examined. The analysis was conducted with two groups of adolescent volunteers who received DTI scans either 12 weeks apart (16.62 ± 1.10 years) or wit

SUBMITTER: Yuan JP 

PROVIDER: S-EPMC6444894 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature