Patterns of Pre-Treatment Reward Task Brain Activation Predict Individual Antidepressant Response: Key Results from the EMBARC Randomized Clinical Trial

The lack of biomarkers to inform antidepressant selection is a key challenge in personalized depression treatment. This work identifies candidate biomarkers by building deep learning predictors of individual treatment outcomes using reward processing measures from functional MRI, clinical assessments, and demographics.

Source: Biological Psychiatry - September 22, 2021 Category: Psychiatry Authors: Kevin P. Nguyen, Cherise Chin Fatt, Alex Treacher, Cooper Mellema, Crystal Cooper, Manish K. Jha, Benji Kurian, Maurizio Fava, Patrick J. McGrath, Myrna Weissman, Mary L. Phillips, Madhukar H. Trivedi, Albert Montillo Tags: Archival Report Source Type: research