Generalizability of Treatment Outcome Prediction Across Antidepressant Treatment Trials in Depression.

ABSTRACT:

Importance

Although several predictive models for response to antidepressant treatment have emerged on the basis of individual clinical trials, it is unclear whether such models generalize to different clinical and geographical contexts.

Objective

To assess whether neuroimaging and clinical features predict response to sertraline and escitalopram in patients with major depressive disorder (MDD) across 2 multisite studies using machine learning and to predict change in depression severity in 2 independent studies.

Design, setting, and participants

This prognostic study included structural and functional resting-state magnetic resonance imaging and clinical and demographic data from the Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Car

SUBMITTER: Zhukovsky P 

PROVIDER: S-EPMC11926635 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature