The (in)stability of functional brain network measures across thresholds.

ABSTRACT: The large-scale organization of the brain has features of complex networks that can be quantified using network measures from graph theory. However, many network measures were designed to be calculated on binary graphs, whereas functional brain organization is typically inferred from a continuous measure of correlations in temporal signal between brain regions. Thresholding is a necessary step to use binary graphs derived from functional connectivity data. However, there is no current consensus on what threshold to use, and network measures and group contrasts may be unstable across thresholds. Nevertheless, whole-brain network analyses are being applied widely with findings typically reported at an arbitrary threshold or range of thresholds. This study sought to evaluate the stability of

SUBMITTER: Garrison KA 

PROVIDER: S-EPMC4554838 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature