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The ultimate aim of this study is to identify a biomarker of suicide risk in MDD by measuring the "hedonic spectrum" (pain and reward responsivity), attention and its associated brain structures using brain scans (fMRI and DTI), as well as the stability of markers over time.
The issue of suicide has continued to puzzle researchers in the field of psychiatry. Edwin Shneidman, a prominent researcher on suicide emphasized "the most evident fact about suicidology and suicidal events is that they are multidimensional…containing concomitant biological, sociological, and psychological (interpersonal and intrapsychic)…elements". Yet, no study to date has attempted to integrate these dimensions when evaluating suicide risk. Considering the presence of a psychiatric illness is a primary predictor of suicide, it is important to develop a unified understanding of risk factors that integrate current clinical and neurobiological findings in this population.
Our aim is to: (1) identify an integrated biomarker model to predict risk of suicide attempt in patients with Major Depressive Disorder (MDD) with and without a history of suicide attempt, using neuroimaging, neurocognitive testing and behavioural tasks, and (2) test the stability of this model using a prospective 1 year design.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| MDD with SI and No Attempt | Subjects will have MDD with current MDE, current suicidal ideation and no lifetime suicide attempts |
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| MDD with SI and Recent Attempt | Subjects with have MDD with current MDE, current suicidal ideation and a suicide attempt within the past 6 months |
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| MDD with no SI and Lifetime Attempt | Subjects with MDD and current MDE but no current suicidal ideation and a lifetime suicide attempt. |
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| Healthy Controls | Subjects will have no personal or family psychiatric history and no suicide attempts. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| No intervention | Other |
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| Measure | Description | Time Frame |
|---|---|---|
| Biomarkers for Suicide Risk | Potential biomarkers for suicide risk including brain scans, genomic or proteomic makers, | 12 months |
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Inclusion Criteria:
Exclusion Criteria:
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Subjects will recruited from Mental Health Clinics at St. Michael's Hospital from Mood Disorders Clinics, University Health Networks (UHN) hospitals, and self-referrals from advertisements in Mental Health Department, and on social media.
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| Name | Affiliation | Role |
|---|---|---|
| Sakina Rizvi, PhD | Unity Health Toronto | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Sakina Rizvi | Toronto | Ontario | M5B1M8 | Canada |
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| ID | Term |
|---|---|
| D003865 | Depressive Disorder, Major |
| D013405 | Suicide |
| D059020 | Suicidal Ideation |
| ID | Term |
|---|---|
| D003866 | Depressive Disorder |
| D019964 | Mood Disorders |
| D001523 | Mental Disorders |
| D016728 | Self-Injurious Behavior |
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Blood samples will be collected for genetic and proteomic analysis. Saliva samples will be collected to measure cortisol levels.
| D001526 |
| Behavioral Symptoms |
| D001519 | Behavior |