Neural predictors of sensorimotor adaptation rate and savings.

ABSTRACT: In this study, we investigate whether individual variability in the rate of visuomotor adaptation and multiday savings is associated with differences in regional gray matter volume and resting-state functional connectivity. Thirty-four participants performed a manual adaptation task during two separate test sessions, on average 9 days apart. Functional connectivity strength between sensorimotor, dorsal cingulate, and temporoparietal regions of the brain was found to predict the rate of learning during the early phase of the adaptation task. In contrast, default mode network connectivity strength was found to predict both the rate of learning during the late adaptation phase and savings. As for structural predictors, greater gray matter volume in temporoparietal and occipital regions predic

SUBMITTER: Cassady K 

PROVIDER: S-EPMC5847457 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature