Our research focuses on understanding the nature and mechanisms of cognitive dysfunction in psychiatric disorders and how it contributes to psychiatric symptoms. We develop new digital tools to improve cognitive assessment across settings, from smartphones to neuroimaging. Our group applies a wide range of techniques, including ecological momentary assessment, multimodal magnetic resonance imaging, and machine learning to understand associations between brain, cognition, symptoms, and functioning. We also follow open science practices across all stages of the research life cycle, from pre-registrations to sharing our code and research outputs with open licenses.

Dr. Lavigne is an Assistant Professor in the Department of Psychiatry at McGill University and a Researcher at the Douglas Research Centre, where she also leads the Douglas Open Science Program. She received a PhD in Neuroscience in 2018 from the University of British Columbia and completed a postdoctoral fellowship at McGill (Neuro and Douglas) in 2023.

• Tremplin Ambassador Award, “Douglas Open Science Training Series” (2024-2025)

• NARSAD Young Investigator Grant, “Cortical layer-dependent predictive coding mechanisms driving delusions in schizophrenia” (2024-2026)

• NSERC Discovery Grant & Early Career Launch Supplement,  “Uncovering the nature and neural mechanisms of individual cognitive variability” (2024-2029)

• HBHL New Recruits Start-Up Supplements, “A FAIR and Open Approach to cognitive and brain health in transdiagnostic psychiatry” (2023-2025)

See lab website

Key publications

• Totzek, JF, Chakravarty, MM, Joober, R, Malla, A, Shah, JL, Raucher-Chéné, D, Young, AL, Hernaus, D, Lepage, M, & Lavigne, KM (2024). Longitudinal inference of multiscale markers of psychosis: From hippocampal centrality to functional outcome. Molecular Psychiatry, 29, 2929-2938.

• Lavigne, KM, Deng, J, Raucher-Chéné, D, Hotte-Meunier, A, Voyer, C, Sarraf, L, Lepage, M, & Sauvé, G. (2024). Transdiagnostic cognitive biases in psychiatric disorders: A systematic review and network meta-analysis. Progress in Neuropsychopharmacology & Biological Psychiatry, Special issue: Cognitive Dysfunction, 129, 110894.

• Yang, CC, Totzek, JF, Lepage, M, & Lavigne, KM (2023). Sex differences in cognition and structural covariance-based morphometric connectivity: Evidence from 28,000+ UK Biobank participants. Cerebral Cortex, 33(19), 10341-10354.

• Lavigne, KM, Kanagasabai, K, & Palaniyappan, L (2022). Ultra-high field neuroimaging in psychosis: A narrative review.Frontiers in Psychiatry, 13, 994372.

• Lavigne, KM, Sauvé, G, Raucher-Chéné, D, Guimond, S, Lecomte, T, Bowie, CR, Menon, M, Lal, S, Woodward, TS, Bodnar, MD, & Lepage, M. (2022). Remote cognitive assessment in severe mental illness: A scoping review. Schizophrenia, 8, 14.

• Khalil, M, *Hollander, P, Raucher-Chéné, D, Lepage, M, & Lavigne, KM. (2022). Structural brain correlates of cognitive function in schizophrenia: A meta-analysis. Neuroscience & Biobehavioral Reviews, 132, 37-49.

• Lavigne, KM, Menon, M, & Woodward, TS. (2020). Functional brain networks underlying evidence integration and delusions in schizophrenia. Schizophrenia Bulletin, 46(1), 175-183.