Understanding Brain Reward Responses in Individuals With Major Depressive Disorder
|ClinicalTrials.gov Identifier: NCT00183755|
Recruitment Status : Completed
First Posted : September 16, 2005
Last Update Posted : April 21, 2014
|Condition or disease|
Major depressive disorder (MDD) is a severe form of depression that can significantly interfere with an individual's thoughts, behavior, mood, and physical health. People who suffer from MDD may experience anhedonia, or the inability to gain pleasure from normally pleasurable experiences. Such individuals do not respond to motivational rewards in the same way as do individuals who are not depressed. Anhedonia has been recognized as a core symptom of depression and it is not always remedied with antidepressant medication. Abnormal brain activity and processing may be the underlying cause of depression and specifically anhedonia. A better understanding of the brain mechanisms of depression may lead to the development of new effective medications or psychological treatments.
Event-related potential (ERP), which measures electrical activity in the brain, and functional magnetic resonance imaging (fMRI), which uses scanned images to illustrate changes in brain activity, are two techniques that can identify abnormal areas of brain processing. The purpose of this study is to use ERP and fMRI to compare brain activity that is related to reward processing in individuals with MDD versus individuals without MDD.
This study will consist of 3 study visits; visits will be scheduled as close together as possible. At the first study visit, potential participants will be assessed with the SCID (Structured Clinical Interview for DSM-IV), which will identify individuals with the diagnostic criteria for MDD. A control group of non-depressed individuals will also be enrolled in the study. During the second and third study visits, participants will take part in a monetary reinforcement reward task followed by a signal detection reward task. Brain activity of all participants will be monitored during both tasks. During the second study visit, ERP will be used; during the third study visit, fMRI will be used. Demographic information will also be collected, and participants will complete several standardized questionnaires to assess mood. Some participants will be asked to return after eight weeks to complete the fMRI and EEG sessions again. Those who do complete all five sessions will be awarded a bonus.
|Study Type :||Observational|
|Actual Enrollment :||87 participants|
|Official Title:||Neuroimaging Studies of Reward Processing in Depression|
|Study Start Date :||April 2005|
|Actual Primary Completion Date :||April 2009|
|Actual Study Completion Date :||April 2009|
Participants with MDD
- Performance on Monetary Incentive Delay task [ Time Frame: Given once during the second session for half an hour, and once during the third session for half an hour ]This task features balanced incentive delivery and analytic strategies designed to identify activity specific to anticipation or consumption of incentives.
- Signal detection reward task [ Time Frame: Given once during the second session for fifteen minutes, and once during the third session for fifteen minutes ]This reward task provides an objective assessment of hedonic capacity. Due to the probabilistic nature of the task, participants cannot infer which stimulus is more advantageous based on the outcome of single trials but need to integrate reinforcement history over time to optimize behavior.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT00183755
|United States, Massachusetts|
|The Depression Clinical and Research Program, Massachusetts General Hospital|
|Boston, Massachusetts, United States, 02114|
|Affective Neuroscience Laboratory, Department of Psychology, Harvard University|
|Cambridge, Massachusetts, United States, 02138|
|Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital|
|Charlestown, Massachusetts, United States, 02129|
|Principal Investigator:||Diego A. Pizzagalli, PhD||Harvard University|