Brain Network Modularity Predicts Exercise-Related Executive Function Gains in Older Adults.

ABSTRACT: Recent work suggests that the brain can be conceptualized as a network comprised of groups of sub-networks or modules. The extent of segregation between modules can be quantified with a modularity metric, where networks with high modularity have dense connections within modules and sparser connections between modules. Previous work has shown that higher modularity predicts greater improvements after cognitive training in patients with traumatic brain injury and in healthy older and young adults. It is not known, however, whether modularity can also predict cognitive gains after a physical exercise intervention. Here, we quantified modularity in older adults (N = 128, mean age = 64.74) who underwent one of the following interventions for 6 months (NCT01472744 on ClinicalTrials.gov):

SUBMITTER: Baniqued PL 

PROVIDER: S-EPMC5758542 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature