McPsyt Lab
Publications
Hamitouche, D., Zamorano, T., Barkat, Y., Parekh, D., Palaniyappan, L., & Benrimoh, D. (2025). Sleep and Activity Patterns as Transdiagnostic Behavioral Biomarkers in Psychiatry: Initial Insights from the DeeP-DD study [Preprint]. arXiv. https://doi.org/10.48550/arXiv.2507.22088
Benrimoh, D., Smith, R., Diaconescu, A. O., Friesen, T., Jalali, S., Mikus, N., Gschwandtner, L., Gandhi, J., Horga, G., & Powers, A. (2025). The Role of Affective States in Computational Psychiatry. The International Journal of Neuropsychopharmacology. https://doi.org/10.1093/ijnp/pyaf049 ​
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Powers, A., Angelos, P. A., Bond, A., Farina, E., Fredericks, C., Gandhi, J., Greenwald, M., Hernandez-Busot, G., Hosein, G., Kelley, M., Mourgues, C., Palmer, W., Rodriguez-Sanchez, J., Seabury, R., Toribio, S., Vin, R., Weleff, J., Woods, S., & Benrimoh, D. (2024b). A Computational Account of the Development and Evolution of Psychotic Symptoms. Biological Psychiatry. 10.1016/j.biopsych.2024.08.026
Benrimoh, D., Mikus, N., & Rosenfeld, A. (2025a). The Einstein Test: Towards a Practical Test of a Machine’s Ability to Exhibit Superintelligence. ArXiv.
https://doi.org/10.48550/arXiv.2501.06948
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Hamitouche, D., Barkat, Y., Parekh, D., Hammer, E., & Benrimoh, D. (2024). Dynamic Indicators of Adherence and Retention in Digital Health Studies: Insights from the Brighten Study. ArXiv. https://doi.org/10.48550/arXiv.2412.00942​​
Palmer-Cooper, E. C., Ellett, L., & Benrimoh, D. (2024). Editorial: Tales from across the psychosis spectrum: Understanding differences and similarities in mechanisms and experiences. Frontiers in Psychiatry, 15, Article 1513000. https://doi.org/10.3389/fpsyt.2024.1513000
Benrimoh, D., Azeez, A., Batail, JM. et al. Early differences in lassitude predicts outcomes in Stanford Neuromodulation Therapy for difficult to treat depression. npj Mental Health Res 3, 49 (2024). https://doi.org/10.1038/s44184-024-00099-2
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Benrimoh, D., Viktor Dlugunovych, Wright, A. C., Phalen, P., Funaro, M. C., Ferrara, M., … Shah, J. (2024). On the proportion of patients who experience a prodrome prior to psychosis onset: A systematic review and meta-analysis. Molecular Psychiatry. https://doi.org/10.1038/s41380-024-02415-w
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Liu, Y., Jalali, S., Joober, R., Lepage, M., Iyer, S., Shah, J., & Benrimoh, D. (2024). Subtyping first-episode psychosis based on longitudinal symptom trajectories using machine learning. medRxiv. https://doi.org/10.1101/2024.09.17.24313827
Benrimoh, D., & Fratila, R. M. (2023). System and method for predicting mental health states using passive data collection and machine learning (U.S. Patent No. 11,605,463). U.S. Patent and Trademark Office. https://patents.google.com/patent/US11605463B2/en
Benrimoh, D., Fratila, R., & Williams, N. R. (2024). Development of a differential treatment selection model for major depressive disorder using machine learning. Translational Psychiatry. https://doi.org/10.1038/s41398-024-02970-4
Benrimoh, D., Whitmore, K., Richard, M., Golden, G., Perlman, K., Jalali, S., Friesen, T., Barkat, Y., Mehltretter, J., Fratila, R., Armstrong, C., Israel, S., Popescu, C., Karp, J. F., Parikh, S. V., Golchi, S., Moodie, E. E. M., Shen, J., Gifuni, A. J., Ferrari, M., Sapra, M., Kloiber, S., Pinard, G.-F., Dunlop, B. W., Looper, K., Ranganathan, M., Enault, M., Beaulieu, S., Rej, S., Hersson-Edery, F., Steiner, W., Anacleto, A., Qassim, S., McGuire-Snieckus, R., & Margolese, H. C. (2024). Artificial Intelligence in Depression – Medication Enhancement (AID-ME): A cluster randomized trial of a deep learning enabled clinical decision support system for personalized depression treatment selection and management. medRxiv. https://doi.org/10.1101/2024.06.13.24308884
Perlman, K., Mehltretter, J., Benrimoh, D. et al. Development of a differential treatment selection model for depression on consolidated and transformed clinical trial datasets. Transl Psychiatry 14, 263 (2024).
https://doi.org/10.1038/s41398-024-02970-4. ​
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Benrimoh, D., Kleinerman, A., Furukawa, T. A., Reynolds III, C. F., Lenze, E. J., Karp, J., Mulsant, B., Armstrong, C., Mehltretter, J., Fratila, R., Perlman, K., Israel, S., Popescu, C., Golden, G., Qassim, S., Anacleto, A., Tanguay-Sela, M., Kapelner, A., Rosenfeld, A., & Turecki, G. (2024). Towards outcome-driven patient subgroups: A machine learning analysis across six depression treatment studies. Psychiatry Research: Neuroimaging. https://doi.org/10.1016/j.pscychresns.2024.111725
Mourgues-Codern, C., Benrimoh, D., Gandhi, J., Farina, E. A., Vin, R., Zamorano, T., Parekh, D., Malla, A., Joober, R., Lepage, M., Iyer, S. N., Addington, J., Bearden, C. E., Cadenhead, K. S., Cornblatt, B., Keshavan, M., Stone, W. S., Mathalon, D. H., Perkins, D. O., Walker, E. F., Cannon, T. D., Woods, S. W., Shah, J. L., & Powers, A. R. (2024). Emergence and dynamics of delusions and hallucinations across stages in early psychosis. arXiv preprint arXiv:2402.13428. https://doi.org/10.48550/arXiv.2402.13428
Benrimoh, D., Fisher, V., Mourgues, C., Sheldon, A. D., Smith, R., & Powers, A. R. (2023a). Barriers and solutions to the adoption of translational tools for computational psychiatry. Molecular Psychiatry, 28(6), 2189–2196. https://doi.org/10.1038/s41380-023-02114-y
Palaniyappan, L., Benrimoh, D., Alban Voppel, & Rocca, R. (2023a). Studying Psychosis Using Natural Language Generation: A Review of Emerging Opportunities. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 8(10), 994–1004. https://doi.org/10.1016/j.bpsc.2023.04.009