1 Article by Kanhao Zhao
Deep graph learning of multimodal brain networks defines treatment-predictive signatures in major depression.
Molecular psychiatry – March 31, 2025
Summary
Major depressive disorder affects millions, often with low treatment success. By analyzing brain connectivity data from patients on sertraline and placebo, researchers developed a deep learning model that predicts treatment responses. Key brain regions were identified, offering insights into personalized interventions for better outcomes in depression treatment.
Abstract
Major depressive disorder (MDD) presents a substantial health burden with low treatment response rates. Predicting antidepressant efficacy is chall...