Test-Retest Reliability of Computational Network Metrics Derived from the Structural Connectome of the Human Brain

Keywords

acquisition adult although analytics applied array assignments atlas axial better betweenness boundary brain channel characteristic chop clinical clustering coefficient coils common commonly computational computed consistency consisting control controls correction correlation cortical create currently datasets degree denotes derived diagnosis diffusion diseases disorders edges efficiency encoding evaluated excellent extraction find findings five free general global good gradient granularity graph gray guide head healthy holds human illustrate improvement improving index indicate inter interleaved interventions intra intraclass investigated length likely local longitudinal magnetization many mapping measures methodological metric metrics module monitoring motion must network networks neurological neurology node nodes nonparametric normative outcome overall papers path permutation pipeline plotted potential precision prediction prepared probabilistic processing prognosis promise psychiatric radiology rand rapid reliability report reported reproducibility reproducible resolution retest scanned scanner sections seeded site stands strength structural subject subjects sufficient table theoretic thresholding timothy tools treatment trio understood unweighted utility variability variation volunteers white whole widely yield