Ambient and passive collection of sleep and circadian data in bipolar disorder to understand symptom trajectories and clinical outcomes (AMBIENT-BD): Study protocol Article Swipe
Raahat Manrai
,
Duncan Swiffen
,
Cathy Wyse
,
Debbie Gray
,
Amy Ferguson
,
Lorna M. Lopez
,
Iain H. Campbell
,
Aja Louise Murray
,
Lorna Caddick
,
Emma Louise Gale
,
Livia Scorza
,
Katie Marwick
,
Athanasios Tsanas
,
Andrew N. Coogan
,
Manuel Spitschan
,
Andrew J. Millar
,
Renata L. Riha
,
Maja Mitchell Grigorjeva
,
Daniel Thédié
,
Maria Gardani
,
T. Zieliński
,
Heather C. Whalley
,
Daniel J. Smıth
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.12688/wellcomeopenres.23662.1
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.12688/wellcomeopenres.23662.1
Bipolar disorder is defined by extreme variability in mood, activity and sleep/wake patterns. To date, studies of sleep and circadian parameters in bipolar disorder have predominantly relied on short term monitoring over 1-2 weeks, leaving a need for approaches that can assess individual-level changes in sleep, activity and mood with high levels of temporal granularity. In the AMBIENT-BD study, we will optimise low intensity ambient and passive data collection techniques. These methods will allow us to infer sleep and circadian timing patterns over extended time periods while developing novel data collection, sharing and analytical methods. In parallel, we will develop data management systems to streamline and optimise data sharing. At its core, our project involves an 18-month prospective study focused on the assessment of sleep/wake patterns and clinical and functional outcomes in individuals with bipolar disorder. Furthermore, in collaboration with Bipolar Scotland, we will deliver a knowledge exchange programme on the theme of ‘Sleep, circadian rhythms and bipolar disorder’. AMBIENT-BD will advance our understanding of symptom trajectories and mechanisms contributing to relapse in bipolar disorder, providing new insights for innovations in clinical management.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.12688/wellcomeopenres.23662.1
- OA Status
- gold
- References
- 70
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410498586
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4410498586Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.12688/wellcomeopenres.23662.1Digital Object Identifier
- Title
-
Ambient and passive collection of sleep and circadian data in bipolar disorder to understand symptom trajectories and clinical outcomes (AMBIENT-BD): Study protocolWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-05-19Full publication date if available
- Authors
-
Raahat Manrai, Duncan Swiffen, Cathy Wyse, Debbie Gray, Amy Ferguson, Lorna M. Lopez, Iain H. Campbell, Aja Louise Murray, Lorna Caddick, Emma Louise Gale, Livia Scorza, Katie Marwick, Athanasios Tsanas, Andrew N. Coogan, Manuel Spitschan, Andrew J. Millar, Renata L. Riha, Maja Mitchell Grigorjeva, Daniel Thédié, Maria Gardani, T. Zieliński, Heather C. Whalley, Daniel J. SmıthList of authors in order
- Landing page
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https://doi.org/10.12688/wellcomeopenres.23662.1Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.12688/wellcomeopenres.23662.1Direct OA link when available
- Concepts
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Circadian rhythm, Sleep (system call), Bipolar disorder, Protocol (science), Data collection, Psychology, Medicine, Audiology, Psychiatry, Computer science, Neuroscience, Cognition, Statistics, Mathematics, Pathology, Alternative medicine, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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70Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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