A distributed brain network predicts general intelligence from resting-state human neuroimaging data.

ABSTRACT: Individual people differ in their ability to reason, solve problems, think abstractly, plan and learn. A reliable measure of this general ability, also known as intelligence, can be derived from scores across a diverse set of cognitive tasks. There is great interest in understanding the neural underpinnings of individual differences in intelligence, because it is the single best predictor of long-term life success. The most replicated neural correlate of human intelligence to date is total brain volume; however, this coarse morphometric correlate says little about function. Here, we ask whether measurements of the activity of the resting brain (resting-state fMRI) might also carry information about intelligence. We used the final release of the Young Adult Human Connectome Project (N = 884

SUBMITTER: Dubois J 

PROVIDER: S-EPMC6107566 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature