Ketamine Versus Electroconvulsive Therapy in Depression

While there are effective treatments for depression available, some patients do not see results with these options. Often, these patients are referred to electroconvulsive therapy (ECT) which has drawbacks such as adverse side effects, cost, and limited access. Recent research shows that intravenous ketamine may be an alternative option for these patients due to its rapid antidepressant effect sustained with multiple treatments.

This study will recruit 240 participants from the ECT waiting list at the five participating hospitals, and randomize them to either the ketamine or ECT treatment arm. Participants in the ketamine treatment arm will receive 0.5mg/kg ketamine intravenously (IV) over 40 minutes as described in the study schedule. Participants in the ECT treatment arm will receive ECT as described in the study schedule and as decided by their treating physician. Throughout the study, clinical, neuroimaging, molecular, and cognitive assessments will be conducted.

The aim of this study is to show that compared to ECT, ketamine treatment produces faster results, has less side effects, requires less or shorter hospitalizations, and is less expensive. The measures collected throughout the study (clinician scales, self-reports, blood samples, and neuroimaging) may help with predicting if future patients will respond to ECT or ketamine. This could lead to faster, more effective treatment for patient with depression.

Topic Depression Bipolar Disorder
Compound Ketamine
Country Canada
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Trial Details



Trial Number

Sponsors & Collaborators

University of Ottawa
The University of Ottawa launched  The Psychedelics & Spirituality Studies Initiative (PSSI) in 2021. PSSI is an interdisciplinary group of faculty and graduate students who share a common interest in the study of psychedelics, spirituality and integrative healing.

Measures Used

Montgomery-Asberg Depression Rating Scale
A ten-item diagnostic questionnaire used to measure the severity of depressive symptoms in patients with mood disorders.

Data attribution

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