Learning about learning: Mining human brain sub-network biomarkers from fMRI data.

ABSTRACT: Modeling the brain as a functional network can reveal the relationship between distributed neurophysiological processes and functional interactions between brain structures. Existing literature on functional brain networks focuses mainly on a battery of network properties in "resting state" employing, for example, modularity, clustering, or path length among regions. In contrast, we seek to uncover functionally connected subnetworks that predict or correlate with cohort differences and are conserved within the subjects within a cohort. We focus on differences in both the rate of learning as well as overall performance in a sensorimotor task across subjects and develop a principled approach for the discovery of discriminative subgraphs of functional connectivity based on imaging acquired du

SUBMITTER: Bogdanov P 

PROVIDER: S-EPMC5634545 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature