ArticleInternational journal of bipolar disorders2018
Actigraphy as an objective intra-individual marker of activity patterns in acute-phase bipolar disorder: a case series.
Article in International journal of bipolar disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Toward a Digital Future in Bipolar Disorder Assessment: A Systematic Review of Disruptions in the Rest-Activity Cycle as Measured by Actigraphy.Frontiers in psychiatry · 2022Pooled it
- Hyperactivity is linked to elevated cortisol levels: comprehensive behavioral analysis in the prenatal valproic acid-induced marmoset model of autism.Translational psychiatry · 2026Article
- Sleep and Activity Patterns as Transdiagnostic Behavioral Biomarkers in Psychiatry: Longitudinal Observational Study From the DeeP-DD Study.JMIR formative research · 2025Observational
- BLUES - stabilizing mood and sleep with blue blocking eyewear in bipolar disorder - a randomized controlled trial study protocol.Annals of medicine · 2023Article
- Associations Between Wearable-Specific Indicators of Physical Activity Behaviour and Insulin Sensitivity and Glycated Haemoglobin in the General Population: Results from the ORISCAV-LUX 2 Study.Sports medicine - open · 2022Article
- Complexity and variability analyses of motor activity distinguish mood states in bipolar disorder.PloS one · 2022Article
- Advanced analytical methods to assess physical activity behavior using accelerometer time series: A scoping review.Scandinavian journal of medicine & science in sports · 2022Article
- Complexity of Body Movements during Sleep in Children with Autism Spectrum Disorder.Entropy (Basel, Switzerland) · 2021Article
- How Does Adding the DSM-5 Criterion Increased Energy/Activity for Mania Change the Bipolar Landscape?Frontiers in psychiatry · 2021Review
- Applying machine learning in motor activity time series of depressed bipolar and unipolar patients compared to healthy controls.PloS one · 2020Article
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Authors and funding
6 authors.
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Abstract
backgroundActigraphy could be an objective alternative to clinical ratings of motor activity in bipolar disorder (BD), which is of importance now that increased activity and energy are added as cardinal symptoms of (hypo)mania in the DSM-5 and commonly used rating scales give inadequate information about motor symptoms. To date, most actigraphy studies have been conducted in groups and/or used mean activity levels as the variable of interest. The novelty of this case series is therefore to indicate the potential of actigraphy and non-parametric analysis as an objective and personalized marker of intra-individual activity patterns in different phases of BD. To our knowledge, this is the first case series that provides an objective assessment of non-linear dynamics in within-person activity patterns during acute BD episodes.
resultsWe report on three cases of bipolar I disorder with 24-h actigraphy recordings undertaken during the first few days of two or more separate admissions for an acute illness episode, including admissions for individuals in different phases of BD, or with different levels of severity in the same phase of illness. For each recording, we calculated mean activity levels over 24 h, but especially focused on key measures of variability and complexity in activity. Intra-individual activity patterns were found to be different according to phase of illness, but showed consistency within the same phase. With increasing psychotic symptoms, there was evidence of a lower overall level and greater irregularity in activity. As such, sample entropy (a measure of irregularity) may have particular utility in characterizing mania and psychotic symptoms, while assessment of the distribution of rest versus activity over 24 h may distinguish between phases of BD within an individual.
conclusionsThis case series indicates that objective, intra-individual, real-time recordings of patterns of activity may have clinical impact as a valuable adjunct to clinical observation and symptom ratings. We suggest that actigraphy combined with detailed mathematical analysis provides a biological variable that could become an important tool for developing a personalized approach to diagnostics and treatment monitoring in BD.
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