Deep learning of structural MRI predicts fluid, crystallized, and general intelligence.

ABSTRACT: Can brain structure predict human intelligence? T1-weighted structural brain magnetic resonance images (sMRI) have been correlated with intelligence. However, the population-level association does not fully account for individual variability in intelligence. To address this, studies have emerged recently to predict individual subject's intelligence or neurocognitive scores. However, they are mostly on predicting fluid intelligence (the ability to solve new problems). Studies are lacking to predict crystallized intelligence (the ability to accumulate knowledge) or general intelligence (fluid and crystallized intelligence combined). This study tests whether deep learning of sMRI can predict an individual subject's verbal, comprehensive, and full-scale intelligence quotients (VIQ, PIQ, and FS

SUBMITTER: Hussain MA 

PROVIDER: S-EPMC11561325 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature