Raymond W. Lam

Professor and Associate Head for Graduate and Undergraduate Education

The University of British Columbia

Canada

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About

Raymond W. Lam is a Professor and Associate Head for Graduate and Undergraduate Education at the University of British Columbia, Canada. His research areas include light therapy for bipolar disorders, digital health interventions for depression and anxiety, and the predictors of relapse in major depressive disorder. He has contributed significantly to the field through various articles focused on intervention feasibility and clinical guidelines for managing mood disorders.

Articles (23)

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2025

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2022

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2022

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2022

Collaborators (17)

Sagar Parikh

University of Michigan

UNITED STATES

Raymond W. Lam

Research Interests

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About

Articles (23)

Abuse liability for esketamine in a cohort of patients undergoing an acute treatment course to manage treatment-resistant depression: a secondary analysis of an observational study in real-world clinical practicee

Light therapy for bipolar disorders: Clinical recommendations from the international society for bipolar disorders (ISBD) Chronobiology and Chronotherapy Task Force

Digital Health Interventions for Depression and Anxiety in Low- and Middle-Income Countries: Rapid Scoping Review

Symptom network connectivity indices as predictors of relapse in major depressive disorder

Challenges and Mitigation Strategies in the Development and Feasibility Assessment of a Digital Mental Health Intervention for Depression (VMood): Mixed Methods Feasibility Study

Feasibility and preliminary effects of an app-based physical activity intervention for individuals with depression (MoodMover): A protocol for a single-arm, pre-post intervention study

The state of implementation science in major depressive disorder: A narrative review

IN Esketamine and IV Ketamine: Results of a multi-site observational study assessing the effectiveness and tolerability of two novel therapies for treatment-resistant depression

Large Individual Differences in Functional Connectivity in the Context of Major Depression and Antidepressant Pharmacotherapy

Relation of hippocampal volume and SGK1 gene expression to treatment remission in major depression is moderated by childhood maltreatment: A CAN-BIND-1 report

Response Inhibition and Predicting Response to Pharmacological and Cognitive Behavioral Therapy Treatments for Major Depressive Disorder: A Canadian Biomarker Integration Network for Depression Study

Co-design of a Virtual Reality Cognitive Remediation Program for Depression (bWell-D) With Patient End Users and Clinicians: Qualitative Interview Study Among Patients and Clinicians

Values and preferences related to workplace mental health programs and interventions: An international survey

Weight gain as a risk factor for progressive neurochemical abnormalities in first episode mania patients: a longitudinal magnetic resonance spectroscopy study

Advancing Implementation Science Measurement for Global Mental Health Research

"One Degree of Separation": A Mixed-Methods Evaluation of Canadian Mental Health Care User and Provider Experiences With Remote Care During COVID-19

The Effectiveness of Internet-Guided Self-help Interventions to Promote Physical Activity Among Individuals With Depression: Systematic Review

Blue-Light Therapy for Seasonal and Non-Seasonal Depression: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Rhythmicity of sleep and clinical outcomes in major depressive disorder: A CAN-BIND-1 report

Biophysical compartment models for single-shell diffusion MRI in the human brain: a model fitting comparison

Using Machine Learning to Predict Remission in Patients With Major Depressive Disorder Treated With Desvenlafaxine

Collaborators (17)

Sagar Parikh

Daniel Mueller

Stefan Kloiber

Ivan J. Torres

Lakshmi N Yatham

Gustavo Vazquez

Kate Harkness

Sean Nestor

Peter Giacobbe

Heon-Jeong Lee

G. Camelia Adams

Zainab Samaan

Rudolf Uher

Keith Dobson

Swainson Jennifer

David Bond

Nisha Ravindran

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