Central hypothesis: Brain imaging and motor activity measures can be early predictors of remission.

Objective: Develop a clinically useful predictive algorithm for remission using multimodal data early in treatment.

Impact: If successful, the proposed project will have broad implications for monitoring depression during antidepressant treatment, using noninvasive imaging and supplementary easily obtainable digital markers.