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| Name | Class |
|---|---|
| Centre for Addiction and Mental Health | OTHER |
| Toronto Metropolitan University | OTHER |
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To develop and test a neurocomputational model of ketamine treatment response predictions in TRD.
The investigators propose applying a previously validated computational model of the MMN and the ensuing effects of NMDAR antagonism to predict treatment response following ketamine infusions in TRD patients and distinguish ketamine's antisuicidal effects from those related to mood improvements. The study has two subgoals: first, the computational mechanisms underlying MMN reductions that predict ketamine treatment response in TRD patients will be examined. Second, the computational mechanisms will be linked to their underlying neural causes using neural circuit models. Beyond understanding ketamine's short- and long-term mechanisms of action in TRD, the parameters obtained from fitting these models to noninvasive EEG recordings may facilitate single-patient treatment predictions. If successful, this approach may provide clinically useful prognostic statements in individual patients.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Ketamine | Drug | Participants suffering from TRD will receive their ketamine treatment intravenously twice weekly for two weeks (4 treatments in total). A dose of 0.5 mg/kg is infused over 40 minutes, with dose adjustments made at the psychiatrist's discretion. |
| Measure | Description | Time Frame |
|---|---|---|
| Clinical remission | Remission, defined as MADRS <10, and suicide risk reduction is defined as a ≥ 50% reduction in the suicidal ideation item of the MADRS scale from baseline | 4 weeks following the baseline visit |
| Measure | Description | Time Frame |
|---|---|---|
| Modelling | Modelling the underlying cognitive and behavioural mechanisms to their neural causes from the effect of ketamine on TRD patients | 2 weeks following the baseline visit |
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Inclusion Criteria:
1.18 to 65 years of age 2. Meeting Diagnostic and Statistical Manual for Mental Disorders (DSM-5) criteria for MDD and in a Major Depressive Episode and ≥10 on the Montgomery-Asberg Depression Rating Scale (MADRS).
3. Competent to consent-based on their ability to provide a spontaneous narrative description of the key elements of the study.
4. Failure of at least two trials of antidepressant therapy during the current episode (treatment-resistant depression) and receiving ketamine treatment clinically as administered by their clinician 5. Staying on stable dosages of any concomitant psychotropic medications.
Exclusion Criteria:
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Patient participants diagnosed as suffering from a Treatment-Resistant Depression (TRD) that meet the criteria from Diagnosis and Statistical Manual for Mental Disorders (DSM-5), will be eligible to participate in this data collection study. Participants who have agreed to receive ketamine treatments as part of the Interventional Psychiatry Clinical Program at St. Michael's Hospital will be approached and recruited.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Venkat Bhat, MD MSc | Contact | 416-360-4000 | 76404 | Venkat.Bhat@unityhealth.to |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| St. Michael's Hospital | Recruiting | Toronto | Ontario | M5B1M8 | Canada |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 39116153 | Derived | Martin J, Gholamali Nezhad F, Rueda A, Lee GH, Charlton CE, Soltanzadeh M, Ladha KS, Krishnan S, Diaconescu AO, Bhat V. Predicting treatment response to ketamine in treatment-resistant depression using auditory mismatch negativity: Study protocol. PLoS One. 2024 Aug 8;19(8):e0308413. doi: 10.1371/journal.pone.0308413. eCollection 2024. |
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| ID | Term |
|---|---|
| D061218 | Depressive Disorder, Treatment-Resistant |
| ID | Term |
|---|---|
| D003866 | Depressive Disorder |
| D019964 | Mood Disorders |
| D001523 | Mental Disorders |
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| ID | Term |
|---|---|
| D007649 | Ketamine |
| ID | Term |
|---|---|
| D003510 | Cyclohexanes |
| D003516 | Cycloparaffins |
| D006840 | Hydrocarbons, Alicyclic |
| D006844 | Hydrocarbons, Cyclic |
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| D006838 |
| Hydrocarbons |
| D009930 | Organic Chemicals |