Brain Age Prediction in Generalized Anxiety Disorder using a Convolutional Neural Network.

ABSTRACT: Higher predicted brain age difference has been associated with several psychiatric disorders. Generalized anxiety disorder (GAD) is associated with markers of accelerated aging. In this study, we determined brain predicted age difference (PAD) in individuals with GAD and healthy controls (HC) as well as group differences in PAD variability using voxel-wise structural MRI. The training dataset included 3,511 controls, and the testing dataset included 1,595 individuals with GAD and 4,552 HC from the ENIGMA-Anxiety GAD Working Group. A convolutional neural network model using four input modalities per subject and a model ensemble approach was used to predict brain age. The PAD was then calculated by subtracting chronological age. Model performance was consistent with other image-based brain a

SUBMITTER: Richier C 

PROVIDER: S-EPMC12236912 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature