Aging and Network Properties: Stability Over Time and Links with Learning during Working Memory Training.

ABSTRACT: Growing evidence suggests that healthy aging affects the configuration of large-scale functional brain networks. This includes reducing network modularity and local efficiency. However, the stability of these effects over time and their potential role in learning remain poorly understood. The goal of the present study was to further clarify previously reported age effects on "resting-state" networks, to test their reliability over time, and to assess their relation to subsequent learning during training. Resting-state fMRI data from 23 young (YA) and 20 older adults (OA) were acquired in 2 sessions 2 weeks apart. Graph-theoretic analyses identified both consistencies in network structure and differences in module composition between YA and OA, suggesting topological changes and less stabil

SUBMITTER: Iordan AD 

PROVIDER: S-EPMC5758500 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature