Reproducibility of structural brain connectivity and network metrics using probabilistic diffusion tractography.

ABSTRACT: The structural connectivity network constructed using probabilistic diffusion tractography can be characterized by the network metrics. In this study, short-term test-retest reproducibility of structural networks and network metrics were evaluated on 30 subjects in terms of within- and between-subject coefficient of variance (CV_ws, CV_bs), and intra class coefficient (ICC) using various connectivity thresholds. The short-term reproducibility under various connectivity thresholds were also investigated when subject groups have same or different sparsity. In summary, connectivity threshold of 0.01 can exclude around 80% of the edges with CV_ws = 73.2 ± 37.7%, CV_bs = 119.3 ± 44.0% and ICC = 0.62 ± 0.19. The rest 20% edges have CV_ws < 45%, C

SUBMITTER: Tsai SY 

PROVIDER: S-EPMC6070542 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature