Sleep and Activity Patterns as Transdiagnostic Behavioral Biomarkers in Psychiatry: Longitudinal Observational Study From the DeeP-DD Study
Our findings highlight actigraphy-derived sleep and activity features, particularly rise time and physical activity, as promising transdiagnostic markers of psychiatric symptom burden. Their consistent associations across temporal scales and diagnostic groups underscore their potential utility for scalable, real-world clinical monitoring. Future work should validate these findings in larger cohorts and explore advanced analytical methods to capture circadian rhythmicity and symptom dynamics more precisely.
Authors
- David Benrimoh (ORCID: https://orcid.org/0000-0002-1452-4791)
- Lena K. Palaniyappan (ORCID: https://orcid.org/0000-0003-1640-7182)
- Tihare Zamorano (ORCID: https://orcid.org/0009-0001-4911-4194)
- Youcef Barkat (ORCID: https://orcid.org/0009-0002-9019-1105)
- Deven Parekh (ORCID: https://orcid.org/0009-0004-6138-2791)
- Sara Jalali
- Dylan Hamitouche (ORCID: https://orcid.org/0009-0002-9912-9295)
Institutions
- Western University (CA)
- Douglas Mental Health University Institute (CA)
- McGill University Health Centre (CA)
- Robarts Clinical Trials (CA)
- McGill University (CA)
- Université de Montréal (CA)
Publication Details
- Journal
- JMIR Formative Research
- Published
- 2025-10-23
- DOI
- https://doi.org/10.2196/81107
- Citations
- 1
- Primary Topic
- Sleep and related disorders
- Type
- article
- Field-Weighted Citation Impact
- 2.12
Funders
- McGill University
- National Alliance for Research on Schizophrenia and Depression
- Wellcome Trust
- Mach-Gaensslen Foundation of Canada
- Centre de Recherches Mathématiques
- Fonds de recherche du Québec
- Fonds de Recherche du Québec - Santé