ArticleHuman brain mapping2019
Changes in EEG multiscale entropy and power-law frequency scaling during the human sleep cycle.
Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 1 of them a synthesis that pooled it.
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Who cites it
82 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Mechanical Ventilation-Associated Changes in Hippocampal Electroencephalogram: A Cross-Species Study in Humans and Rats.CNS neuroscience & therapeutics · 2026Article
- REM sleep favors the restructuring of problem-related semantic associations.Communications biology · 2026Article
- Complexity of resting cortical activity predicts neurophysiological responses to theta-burst stimulation but fails to generalize: A rigorous machine-learning approach.PLoS computational biology · 2026Article
- Multiscale dispersion entropy of resting-state EEG in older adults with Alzheimer's disease, mild cognitive impairment, and remitted major depressive disorder.Journal of Alzheimer's disease : JAD · 2026Article
- Temporally resolved analyses of aperiodic features track neural dynamics during sleep.Communications psychology · 2025Article
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- Hemispherotomy leads to persistent sleep-like slow waves in the isolated cortex of awake humans.PLoS biology · 2025Article
- Complexity of Resting Cortical Activity Predicts Neurophysiological Responses to Theta- Burst Stimulation but Fails to Generalize: A Rigorous Machine-Learning Approach.Research square · 2025Article
- Detection of EEG dynamic complex patterns in disorders of consciousness.Communications biology · 2025Article
- Aperiodic neural activity distinguishes between phasic and tonic REM sleep.Journal of sleep research · 2025Article
- Brain sources composing irregular field potentials have unique temporal signatures.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
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- The Neural Correlates of Consciousness: A Spectral Exponent Approach to Diagnosing Disorders of Consciousness.Brain sciences · 2025Article
- Prediction of Alpha Power Using Multiple Subjective Measures and Autonomic Responses.Psychophysiology · 2025Article
- Pupil size reveals arousal level fluctuations in human sleep.Nature communications · 2025Article
- Entropy and Complexity Tools Across Scales in Neuroscience: A Review.Entropy (Basel, Switzerland) · 2025Review
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- Rewiring the aging brain: exergaming modulates brain complexity in older adults.Frontiers in aging neuroscience · 2025Article
22 more citing papers are in PubMed but not listed here.
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4 authors.
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Abstract
We explored changes in multiscale brain signal complexity and power-law scaling exponents of electroencephalogram (EEG) frequency spectra across several distinct global states of consciousness induced in the natural physiological context of the human sleep cycle. We specifically aimed to link EEG complexity to a statistically unified representation of the neural power spectrum. Further, by utilizing surrogate-based tests of nonlinearity we also examined whether any of the sleep stage-dependent changes in entropy were separable from the linear stochastic effects contained in the power spectrum. Our results indicate that changes of brain signal entropy throughout the sleep cycle are strongly time-scale dependent. Slow wave sleep was characterized by reduced entropy at short time scales and increased entropy at long time scales. Temporal signal complexity (at short time scales) and the slope of EEG power spectra appear, to a large extent, to capture a common phenomenon of neuronal noise, putatively reflecting cortical balance between excitation and inhibition. Nonlinear dynamical properties of brain signals accounted for a smaller portion of entropy changes, especially in stage 2 sleep.
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