Zixuan Wu

Resting-state fMRI-based machine learning for predicting SSRI treatment response in major depressive disorder

The results showed that the predictive performance of the Logistic regression model on the external validation set yielded an AUC value of 0.643 and an accuracy of 0.60 indicates that the brain regions involved in the model hold promise as exploratory neural correlates for predicting the efficacy of SSRIs in depression...