Evaluating Longitudinal Reliability and Cross-Subject Sensitivity of Structural Connectivity Networks Computed Using Probabilistic Fiber Tracking

Keywords

able acquisition active addition affine analyzed anatomy apart applying assess assessed background binary biomedical boundary brain capture char characteristic characterization class clustering coefficient computed concentrated conditional connectivity consisted consistency consistent correlation cortical cross decreased densities density derived deterministic differentiating diffusion displays done edge efficiency evaluated evaluating examined extract extracted female fiber fibers full functional furthermore generally global gradient grants graph human incorporating increasing indicating individual inter intra investigate labels leads length like limited longitudinal male matrices matrix measures measuring metric metrics moderately modularity network networks node nodes normalized objectives original overall path patterns planar plot plots population possibly probabilistic probability ranging reduced reflect reliability reliably repeatability represent represents respectively retest scanner section seed segmentation sensitivity session shot smith space spaced streamline structural structures studies subject subjects suffer suggesting supported surface thank theoretic thresholded thresholding tracking transferred treated type typically undirected uniformity variability variance variation varied various versus vital weeks whether whole