ArticlePloS one2017
Multiscale adaptive analysis of circadian rhythms and intradaily variability: Application to actigraphy time series in acute insomnia subjects.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers.
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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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Who cites it
23 citing papers in PubMed, 62 citations in OpenAlex.
- Relationship between circadian activity rhythms and fatigue in hospitalized children with CNS cancers receiving high-dose chemotherapy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020Trial
- Association between chronotype preference and sleep characteristics in insomnia patients.Sleep & breathing = Schlaf & Atmung · 2026Article
- Clock gene signature predicts insomnia and links to sleep/circadian parameters.Translational psychiatry · 2026Article
- Article
- Wavelet-Based Tremor Quantification From Wrist-Worn Sensor Data in Home-Dwelling People With Parkinson's Disease.IEEE journal of translational engineering in health and medicine · 2026Article
- Circadian rhythms are disrupted in patients and preclinical models of Machado-Joseph disease.Brain : a journal of neurology · 2025Article
- More variable circadian rhythms in epilepsy captured by long-term heart rate recordings from wearable sensors.Epilepsia · 2025Article
- Article
- Article
- Sleep-wake behaviors associated with cognitive performance in middle-aged participants of the Hispanic Community Health Study/Study of Latinos.Sleep health · 2024Article
- General spectral characteristics of human activity and its inherent scale-free fluctuations.Scientific reports · 2024Article
- Patterns of sedentary behaviour in adults with acute insomnia derived from actigraphy data.PloS one · 2023Article
- Measuring Daily Activity Rhythms in Young Adults at Risk of Affective Instability Using Passively Collected Smartphone Data: Observational Study.JMIR formative research · 2022Article
- A non-parametric model: free analysis of actigraphic recordings of acute insomnia patients.Royal Society open science · 2022Article
- Computational Approaches and Tools as Applied to the Study of Rhythms and Chaos in Biology.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Differentiating acute from chronic insomnia with machine learning from actigraphy time series data.Frontiers in network physiology · 2022Article
- pyActigraphy: Open-source python package for actigraphy data visualization and analysis.PLoS computational biology · 2021Article
- Assessing Potential Circadian, Diurnal, and Ultradian Variations in Skin Biophysical Properties.Cureus · 2021Review
- Article
- Nonparametric time series summary statistics for high-frequency accelerometry data from individuals with advanced dementia.PloS one · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Circadian rhythms become less dominant and less regular with chronic-degenerative disease, such that to accurately assess these pathological conditions it is important to quantify not only periodic characteristics but also more irregular aspects of the corresponding time series. Novel data-adaptive techniques, such as singular spectrum analysis (SSA), allow for the decomposition of experimental time series, in a model-free way, into a trend, quasiperiodic components and noise fluctuations. We compared SSA with the traditional techniques of cosinor analysis and intradaily variability using 1-week continuous actigraphy data in young adults with acute insomnia and healthy age-matched controls. The findings suggest a small but significant delay in circadian components in the subjects with acute insomnia, i.e. a larger acrophase, and alterations in the day-to-day variability of acrophase and amplitude. The power of the ultradian components follows a fractal 1/f power law for controls, whereas for those with acute insomnia this power law breaks down because of an increased variability at the 90min time scale, reminiscent of Kleitman's basic rest-activity (BRAC) cycles. This suggests that for healthy sleepers attention and activity can be sustained at whatever time scale required by circumstances, whereas for those with acute insomnia this capacity may be impaired and these individuals need to rest or switch activities in order to stay focused. Traditional methods of circadian rhythm analysis are unable to detect the more subtle effects of day-to-day variability and ultradian rhythm fragmentation at the specific 90min time scale.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.