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Extracting Circadian and Sleep Parameters from Longitudinal Data in Schizophrenia for the Design of Pragmatic Light Interventions
Department of Mathematics, Faculty of Engineering and Physical Sciences, University of Surrey, GuildfordUK; UK Dementia Research Institute Care Research & Technology Centre, at Imperial College London and the University of Surrey, Guildford, United Kingdom.
UK Dementia Research Institute Care Research & Technology Centre, at Imperial College London and the University of Surrey, Guildford, United Kingdom; Surrey Sleep Research Centre, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom.
Department of Psychosis Studies, Institute of Psychology, Psychiatry and Neuroscience, King's College London, United Kingdom; Insomnia and Behavioural Sleep Medicine Clinic, University College London Hospitals NHS Foundation Trust, London, United Kingdom.
Umeå universitet, Medicinska fakulteten, Institutionen för strålningsvetenskaper, Diagnostisk radiologi. Umeå universitet, Medicinska fakulteten, Wallenberg centrum för molekylär medicin vid Umeå universitet (WCMM). Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för molekylärbiologi (Teknisk-naturvetenskaplig fakultet).
2022 (Engelska)Ingår i: Schizophrenia Bulletin, ISSN 0586-7614, E-ISSN 1745-1701, Vol. 48, nr 2, s. 447-456Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Sleep and circadian rhythm dysfunction is prevalent in schizophrenia, is associated with distress and poorer clinical status, yet remains an under-recognized therapeutic target. The development of new therapies requires the identification of the primary drivers of these abnormalities. Understanding of the regulation of sleep-wake timing is now sufficiently advanced for mathematical model-based analyses to identify the relative contribution of endogenous circadian processes, behavioral or environmental influences on sleep-wake disturbance and guide the development of personalized treatments. Here, we have elucidated factors underlying disturbed sleep-wake timing by applying a predictive mathematical model for the interaction of light and the circadian and homeostatic regulation of sleep to actigraphy, light, and melatonin profiles from 20 schizophrenia patients and 21 age-matched healthy unemployed controls, and designed interventions which restored sleep-circadian function. Compared to controls, those with schizophrenia slept longer, had more variable sleep timing, and received significantly fewer hours of bright light (light > 500 lux), which was associated with greater variance in sleep timing. Combining the model with the objective data revealed that non 24-h sleep could be best explained by reduced light exposure rather than differences in intrinsic circadian period. Modeling implied that late sleep offset and non 24-h sleep timing in schizophrenia can be normalized by changes in environmental light-dark profiles, without imposing major lifestyle changes. Aberrant timing and intensity of light exposure patterns are likely causal factors in sleep timing disturbances in schizophrenia. Implementing our new model-data framework in clinical practice could deliver personalized and acceptable light-dark interventions that normalize sleep-wake timing.

Ort, förlag, år, upplaga, sidor
Oxford University Press, 2022. Vol. 48, nr 2, s. 447-456
Nyckelord [en]
clinical predictive framework, entrainment by light, light therapy design, mathematical model, model-data fusion, transdiagnostic psychiatry
Nationell ämneskategori
Psykiatri Neurovetenskaper
Identifikatorer
URN: urn:nbn:se:umu:diva-193004DOI: 10.1093/schbul/sbab124ISI: 000763968400001PubMedID: 34757401Scopus ID: 2-s2.0-85125553047OAI: oai:DiVA.org:umu-193004DiVA, id: diva2:1644393
Forskningsfinansiär
Knut och Alice Wallenbergs StiftelseTillgänglig från: 2022-03-14 Skapad: 2022-03-14 Senast uppdaterad: 2023-09-05Bibliografiskt granskad

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Wulff, Katharina
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Diagnostisk radiologiWallenberg centrum för molekylär medicin vid Umeå universitet (WCMM)Institutionen för molekylärbiologi (Teknisk-naturvetenskaplig fakultet)
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Schizophrenia Bulletin
PsykiatriNeurovetenskaper

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