Dynamic functional connectivity shapes individual differences in associative learning.

ABSTRACT: Current neuroscientific research has shown that the brain reconfigures its functional interactions at multiple timescales. Here, we sought to link transient changes in functional brain networks to individual differences in behavioral and cognitive performance by using an active learning paradigm. Participants learned associations between pairs of unrelated visual stimuli by using feedback. Interindividual behavioral variability was quantified with a learning rate measure. By using a multivariate statistical framework (partial least squares), we identified patterns of network organization across multiple temporal scales (within a trial, millisecond; across a learning session, minute) and linked these to the rate of change in behavioral performance (fast and slow). Results indicated that pos

SUBMITTER: Fatima Z 

PROVIDER: S-EPMC6867365 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature