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Pain, Reward, Attention and Neurocircuitry: Biomarkers of Suicidality

Recruiting
Conditions
Suicidal Ideation
Major Depressive Disorder
Suicide
Interventions
Other: No intervention
Registration Number
NCT02811198
Lead Sponsor
Unity Health Toronto
Brief Summary

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.

Detailed Description

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.

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
120
Inclusion Criteria
  1. DSM-5 criteria for Major Depressive Episode within a MDD, confirmed through MINI diagnosis104
  2. Ages between 18 and 70 years
  3. Hamilton Depression Rating Scale - 17 item (HAMD-17) >= 14
  4. Capable of giving informed consent
  5. Groups 1 and 2 participants only: HAMD-17 item 3 (suicide) >= 2
  6. Group 2 participants only: positive history of a suicide attempt within the last six months
  7. Group 3 participants only: positive history of a lifetime suicide attempt
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Exclusion Criteria
  1. Pregnancy/lactation
  2. Medical condition requiring immediate investigation or treatment
  3. Recent (< 6 months)/current history of drug abuse/dependence (other than caffeine, or nicotine)
  4. Lifetime history of psychosis, Bipolar I or Bipolar II; other Axis I comorbidities are allowable
  5. Individuals who are taking a daily sedative hypnotic, atypical antipsychotic or stimulant must be on a stable dose for at least 4 weeks prior to the neuroimaging scan. The dose must not be taken after 10:00pm the evening prior to the scan. Those receiving a benzodiazepine or an atypical antipsychotic on an "as needed" basis (taken, but not every day) will be washed out of their benzodiazepine/atypical antipsychotic for two weeks prior to neuroimaging. Those receive stimulants on an "as needed" basis will be washed out for 1-3 days prior to neuroimaging, depending on the stimulant half-life.
  6. Participation in experimental treatment trials for the study duration.
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Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
MDD with SI and No AttemptNo interventionSubjects will have MDD with current MDE, current suicidal ideation and no lifetime suicide attempts
Healthy ControlsNo interventionSubjects will have no personal or family psychiatric history and no suicide attempts.
MDD with no SI and Lifetime AttemptNo interventionSubjects with MDD and current MDE but no current suicidal ideation and a lifetime suicide attempt.
MDD with SI and Recent AttemptNo interventionSubjects with have MDD with current MDE, current suicidal ideation and a suicide attempt within the past 6 months
Primary Outcome Measures
NameTimeMethod
Biomarkers for Suicide Risk12 months

Potential biomarkers for suicide risk including brain scans, genomic or proteomic makers,

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

Sakina Rizvi

🇨🇦

Toronto, Ontario, Canada

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