Relations of gray matter volume to dimensional measures of cognition and affect in mood disorders.

ABSTRACT: Understanding the relationship between brain measurements and behavioral performance is an important step in developing approaches for early identification of any psychiatric difficulties and interventions to modify these challenges. Conventional methods to identify associations between regional brain volume and behavioral measures are not optimized, either in scale, scope, or specificity. To find meaningful associations between brain and behavior with greater sensitivity and precision, we applied data-driven factor analytic models to identify and extract individual differences in latent cognitive functions embedded across several computerized cognitive tasks. Furthermore, we simultaneously utilized a keyword-based neuroimaging meta-analytic tool (i.e., NeuroSynth), restricted atlas-parcel

SUBMITTER: Kim JU 

PROVIDER: S-EPMC10150444 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature