Brain connectivity in late-life depression and aging revealed by network analysis.

ABSTRACT:

Objective

To use novel methods to examine age associations across an integrated brain network in healthy older adults (HOA) and individuals with late-life depression (LLD). Graph theory metrics describe the organizational configuration of both the global network and specified brain regions.

Methods

Cross-sectional data were acquired. Graph theory was used to explore diffusion tensor imaging-derived white matter networks. Forty-eight HOA and 28 adults with LLD were recruited from the community. Global and local metrics in prefrontal, cingulate, and temporal regions were calculated. Group differences and associations with age were explored.

Results

Group differences were noted in local metrics of the right prefrontal and temporal regions, but no significant differences

SUBMITTER: Charlton RA 

PROVIDER: S-EPMC4327993 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature