ArticleScientific reports2022
Slow wave synchronization and sleep state transitions.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Energy-Based Phase-Locking State Analysis in Brain State Identification.Human brain mapping · 2026Article
- The irreplaceable role of sleep in building long-term memories: offline integration of free cortical units and its possible implication in autism.Frontiers in human neuroscience · 2026Article
- Polysomnography in Transition: Reassessing Its Role in the Future of Sleep Medicine.Journal of sleep research · 2025Review
- The Fluidic Connectome in Brain Disease: Integrating Aquaporin-4 Polarity with Multisystem Pathways in Neurodegeneration.International journal of molecular sciences · 2025Review
- The delta/alpha ratio in sleep EEG increases with the severity of depression in patients over 50 years old.BMC psychiatry · 2025Article
- Brainwave Patterns and Metabolic Adaptations in Rowers Crossing the Atlantic: A Case Series Pilot Study.Cureus · 2024Article
- Spontaneous Brain Activity Emerges from Pairwise Interactions in the Larval Zebrafish Brain.Physical review. X · 2024Article
- Disuse-driven plasticity in the human thalamus and putamen.bioRxiv : the preprint server for biology · 2024Article
- [Wearable devices: Perspectives on assessing and monitoring human physiological status].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023Review
- Sleep-Enhancing Effect of Water Extract from Jujube (Foods (Basel, Switzerland) · 2023Article
- The Role of Epileptic Activity in Alzheimer's Disease.American journal of Alzheimer's disease and other dementiasReview
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Authors and funding
6 authors.
Funding
Abstract
Spontaneous synchronization over large networks is ubiquitous in nature, ranging from inanimate to biological systems. In the human brain, neuronal synchronization and de-synchronization occur during sleep, with the greatest degree of neuronal synchronization during slow wave sleep (SWS). The current sleep classification schema is based on electroencephalography and provides common criteria for clinicians and researchers to describe stages of non-rapid eye movement (NREM) sleep as well as rapid eye movement (REM) sleep. These sleep stage classifications have been based on convenient heuristic criteria, with little consideration of the accompanying normal physiological changes across those same sleep stages. To begin to resolve those inconsistencies, first focusing only on NREM sleep, we propose a simple cluster synchronization model to explain the emergence of SWS in healthy people without sleep disorders. We apply the empirical mode decomposition (EMD) analysis to quantify slow wave activity in electroencephalograms, and provide quantitative evidence to support our model. Based on this synchronization model, NREM sleep can be classified as SWS and non-SWS, such that NREM sleep can be considered as an intrinsically bistable process. Finally, we develop an automated algorithm for SWS classification. We show that this new approach can unify brain wave dynamics and their corresponding physiologic changes.
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