A network-based analysis anticipates time to recovery from major depression revealing a plasticity by context interplay.

ABSTRACT: Predicting disease trajectories in patients with major depressive disorder (MDD) can allow designing personalized therapeutic strategies. In this study, we aimed to show that measuring patients' plasticity - that is the susceptibility to modify the mental state - identifies at baseline who will recover, anticipating the time to transition to wellbeing. We conducted a secondary analysis in two randomized clinical trials, STAR*D and CO-MED. Symptom severity was assessed using the Quick Inventory of Depressive Symptomatology while the context was measured at enrollment with the Quality-of-Life Enjoyment and Satisfaction Questionnaire. Patients were retrospectively grouped based on both their time to response or remission and their plasticity levels at baseline assessed through a network-based

SUBMITTER: Delli Colli C 

PROVIDER: S-EPMC11775195 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature