ArticleeLife2024
Reproducible, data-driven characterization of sleep based on brain dynamics and transitions from whole-night fMRI.
Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Commonality and Variability in Functional Networks in Children Under 5 Years Old.bioRxiv : the preprint server for biology · 2026Article
- Article
- Sleep neuroimaging: Review and future directions.Journal of sleep research · 2025Review
- Arousal threshold reveals novel neural markers of sleep depth independently from the conventional sleep stages.bioRxiv : the preprint server for biology · 2025Article
- Graph models of brain state in deep anesthesia reveal sink state dynamics of reduced spatiotemporal complexity.Network neuroscience (Cambridge, Mass.) · 2025Article
- Increased intra-thalamic and thalamo-cortical functional connections during human REM sleep: Insights from a two-night EEG-fMRI study.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- What makes our brain unique: Insights from a two-night fMRI-EEG sleep study.Imaging neuroscience (Cambridge, Mass.)Article
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6 authors.
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Abstract
Understanding the function of sleep requires studying the dynamics of brain activity across whole-night sleep and their transitions. However, current gold standard polysomnography (PSG) has limited spatial resolution to track brain activity. Additionally, previous fMRI studies were too short to capture full sleep stages and their cycling. To study whole-brain dynamics and transitions across whole-night sleep, we used an unsupervised learning approach, the Hidden Markov model (HMM), on two-night, 16 hr fMRI recordings of 12 non-sleep-deprived participants who reached all PSG-based sleep stages. This method identified 21 recurring brain states and their transition probabilities, beyond PSG-defined sleep stages. The HMM trained on one night accurately predicted the other, demonstrating unprecedented reproducibility. We also found functionally relevant subdivisions within rapid eye movement (REM) and within non-REM 2 stages. This study provides new insights into brain dynamics and transitions during sleep, aiding our understanding of sleep disorders that impact sleep transitions.
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Registered trials
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