Predicting Early Antidepressant Response in Patients with Major Depressive Disorder: Insight from Many Dimensions of Hippocampal Organization

Motivation: It is currently unknown which hippocampal substructure or composite based on the different is the most effective in evaluating treatment outcomes. Goal(s): To explore which hippocampal organization might predict an early antidepressant response to in patients with major depressive disorder. Approach: We used Freesurfer software to segment the hippocampus automatically, and created the hippocampal composites by summing component substructures early antidepressants response were evaluated from many dimensions of hippocampal organization. Results: We found hippocampal substructures segmented along its transverse axis exhibit best classification performance, and the most relevant region for treatments efficacy maybe located in the CA1 and ML. Impact: We found hippocampal substructures segmented along its transverse axis exhibit best classification performance, and the most relevant region for treatments efficacy maybe located in the CA1 and ML.