Clinical Research Directory

Predictors of Relapse in Major Depressive Disorder

Sponsor: Abraham Nunes

Summary

Major depressive disorder (MDD) is a common condition involving recurring periods of depression. One of the major challenges faced by people with MDD is that the episodes of depression tend to recur even after they are successfully treated. Currently, it is hard to predict when a depressive episode will recur. Being able to forecast this would help healthcare providers monitor patients and prevent relapse. The purpose of this study is to monitor features such as clinical symptoms, physical activity, sleep patterns, cognitive functioning and brain activity to help us understand how relapse happens and the mechanisms that cause it. From these different types of data, investigators will build a model that tells us who is more likely to experience a relapse and when the relapse is likely to occur. This study will be a significant step forward in understanding and managing MDD. Investigator will create a practical tool that will allow healthcare providers to monitor patients more effectively. By identifying early signs of relapse, investigators may be able to intervene promptly to prevent depressive episodes. Finally, our research will help understand the factors that underlie relapse in MDD, which will encourage the development of novel treatment approaches.

Official title: Predictors of Early Relapse During Follow-up of Remitted Major Depression

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