Distance-dependent consensus thresholds for generating group-representative structural brain networks.

ABSTRACT: Large-scale structural brain networks encode white matter connectivity patterns among distributed brain areas. These connection patterns are believed to support cognitive processes and, when compromised, can lead to neurocognitive deficits and maladaptive behavior. A powerful approach for studying the organizing principles of brain networks is to construct group-representative networks from multisubject cohorts. Doing so amplifies signal to noise ratios and provides a clearer picture of brain network organization. Here, we show that current approaches for generating sparse group-representative networks overestimate the proportion of short-range connections present in a network and, as a result, fail to match subject-level networks along a wide range of network statistics. We present an alt

SUBMITTER: Betzel RF 

PROVIDER: S-EPMC6444521 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature