ArticleWellcome open research2025
Forecasting the course of bipolar disorder using rest-activity rhythms: Protocol for a multi-study modelling project.
Article in Wellcome open research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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13 authors.
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Abstract
Background: Risk of new episodes is a constant concern for people living with bipolar disorder (BD). Research into sleep and circadian rhythm disruption (SCRD) suggests that relapse risk may be measurable in 24-hour rest-activity rhythms (RAR) via actigraphy. The primary aim of the Tipping Point project is to develop an algorithm forecasting relapse based on RAR. A secondary aim is to explore SCRD mechanisms linking RAR to mood dynamics in BD. The mechanistic investigation involves analysis of biological correlates of RAR, and exploration of system instability as a predictor of two types of state transition (relapse and recovery). Method: Three prospective studies will enrol adults living with BD I or II. Study 1 (Australia) recruits Discussion: The Tipping Point project uses a multi-study design to develop a mechanistically-informed predictive algorithm for relapse risk in BD.
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