Graph theory approaches to functional network organization in brain disorders: A critique for a brave new small-world.

ABSTRACT: Over the past two decades, resting-state functional connectivity (RSFC) methods have provided new insights into the network organization of the human brain. Studies of brain disorders such as Alzheimer's disease or depression have adapted tools from graph theory to characterize differences between healthy and patient populations. Here, we conducted a review of clinical network neuroscience, summarizing methodological details from 106 RSFC studies. Although this approach is prevalent and promising, our review identified four challenges. First, the composition of networks varied remarkably in terms of region parcellation and edge definition, which are fundamental to graph analyses. Second, many studies equated the number of connections across graphs, but this is conceptually problematic in c

SUBMITTER: Hallquist MN 

PROVIDER: S-EPMC6326733 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature