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Here, we deployed a data-driven approach to identify sleep-biopsychosocial profiles that linked self-reported sleep patterns to inter-individual variability in health, cognition, and lifestyle factors in 770 healthy young adults. We uncovered five profiles, including two profiles reflecting general psychopathology associated with either reports of general poor sleep or an absence of sleep complaints (i.e., sleep resilience), respectively. The three other profiles were driven by the use of sleep aids and social satisfaction, sleep duration, and cognitive performance, and sleep disturbance linked to cognition and mental health. Furthermore, identified sleep-biopsychosocial profiles displayed unique patterns of brain network organization. In particular, somatomotor network connectivity alterations were involved in the relationships between sleep and biopsychosocial factors. These profiles can potentially untangle the interplay between individuals\u2019 variability in sleep, health, cognition, and lifestyle\u2014equipping research and clinical settings to better support individual\u2019s well-being.<\/jats:p>","DOI":"10.1371\/journal.pbio.3003399","type":"journal-article","created":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T17:21:41Z","timestamp":1759857701000},"page":"e3003399","update-policy":"https:\/\/doi.org\/10.1371\/journal.pbio.corrections_policy","source":"Crossref","is-referenced-by-count":11,"title":["Identification of five sleep-biopsychosocial profiles with specific neural signatures linking sleep variability with health, cognition, and lifestyle factors"],"prefix":"10.1371","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2839-610X","authenticated-orcid":true,"given":"Aurore A.","family":"Perrault","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Valeria","family":"Kebets","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicole M. 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