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This study investigates stress-related signaling of glutamate and dopamine within the reward-processing circuit in Major Depressive Disorder (MDD), and whether they can be used to predict depressive symptoms in the future. This will be achieved through various neuroimaging tools (MRS, fMRI, PET), behavioral tasks, and a naturalistic follow-up design.
The overarching goals of this research are to investigate: (1) stress-induced glutamatergic abnormalities and their relation to disruption within the corticostriatal valuation circuit in MDD; (2) stress-induced DA signaling disruptions in MDD; and (3) the predictive validity of these two pathophysiological mechanisms. This will be achieved through an innovative integration of (1) proton magnetic resonance spectroscopy (MRS)-based assessments of glutamatergic metabolites in the mPFC; (2) functional magnetic resonance imaging (fMRI) probes of the corticostriatal valuation circuit with well-established stress manipulations (MAST) and assessments (cortisol and inflammatory markers); (3) positron emission tomography (PET)-based measurement of striatal DA release with well-established stress manipulations and assessments (cortisol and inflammatory markers); and (4) a naturalistic follow-up design.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| MDD | Patients with current Major Depressive Disorder |
| |
| rMDD | Patients with a history of Major Depressive Disorder |
| |
| HC | Healthy control participants |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| PET Scan with Raclopride | Radiation | A subsample (21 per group) will complete the PET imaging. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Behavioral Performance on the Probabilistic Stimulus Selection Task | The Probablilistic Reward Task operationalizes positive reinforcement learning | Screening visit (Day 0) |
| MRI Data | MRI scans for a total of 90 minutes take place within 30 days of Screening Visit | |
| PET scan with raclopride | a total of 90 minutes take place after the MRI data collection | |
| Salivary Cortisol | 6 times during MRI visit (on or before Day 30), and 4 times during PET visit (on or before Day 30) | |
| Four Blood Samples (6ml) | During the MRI visit (on or before Day 30) | |
| Follow-up Clinical Interviews | 6 months and 12 months after the MRI scanning visit | |
| Behavioral Performance on the Instrumental Learning Task | The instrumental learning task is designed to measure participant learning from reward and punishment. | Administered during MRI scan (on or before Day 30) |
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General Inclusion Criteria:
Inclusion Criteria for Current Depression Group (MDD):
Inclusion Criteria for Remitted Depression Group (rMDD):
Inclusion Criteria for Healthy Control Group (HC):
Exclusion Criteria:
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Current Major Depressive Disorder (MDD), or Remitted Major Depressive Disorder (rMDD)
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| Name | Affiliation | Role |
|---|---|---|
| Diego A Pizzagalli, Ph.D. | Mclean Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| David Crowley | Belmont | Massachusetts | 02478 | United States |
All collected IPD will be shared via NIMH Data Archive (as part of data submission agreement)
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All collected IPD are shared every 6 months (1/15 and 7/15 of each year)
Investigators may request for access for approval by the NIMH.
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| ID | Term |
|---|---|
| D003865 | Depressive Disorder, Major |
| D003863 | Depression |
| ID | Term |
|---|---|
| D003866 | Depressive Disorder |
| D019964 | Mood Disorders |
| D001523 | Mental Disorders |
| D001526 | Behavioral Symptoms |
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| ID | Term |
|---|---|
| D009682 | Magnetic Resonance Spectroscopy |
| D020891 | Raclopride |
| ID | Term |
|---|---|
| D013057 | Spectrum Analysis |
| D002623 | Chemistry Techniques, Analytical |
| D008919 | Investigative Techniques |
| D001549 | Benzamides |
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blood samples, saliva samples
| D001519 |
| Behavior |
| D000577 |
| Amides |
| D009930 | Organic Chemicals |
| D001565 | Benzoates |
| D000146 | Acids, Carbocyclic |
| D002264 | Carboxylic Acids |
| D002723 | Chlorobenzoates |
| D001555 | Benzene Derivatives |
| D006841 | Hydrocarbons, Aromatic |
| D006844 | Hydrocarbons, Cyclic |
| D006838 | Hydrocarbons |