Brain age prediction using fMRI network coupling in youths and associations with psychiatric symptoms.

ABSTRACT:

Objective

Magnetic resonance imaging (MRI) has shown that estimated brain age is deviant from chronological age in various common brain disorders. Brain age estimation could be useful for investigating patterns of brain maturation and integrity, aiding to elucidate brain mechanisms underlying these heterogeneous conditions. Here, we examined functional brain age in two large samples of children and adolescents and its relation to mental health.

Methods

We used resting-state fMRI data from the Philadelphia Neurodevelopmental Cohort (PNC; n = 1126, age range 8-22 years) to estimate functional connectivity between brain networks, and utilized these as features for brain age prediction. We applied the prediction model to 1387 individuals (age range 8-22 years) in the Healthy Bra

SUBMITTER: Lund MJ 

PROVIDER: S-EPMC8718718 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature