Temporal evolution of coherence and power in the human sleep electroencephalogram
Abstract
Coherence analysis of the human sleep electroencephalogram (EEG) was used to investigate relations between brain regions. In all‐night EEG recordings from eight young subjects, the temporal evolution of power and coherence spectra within and between cerebral hemispheres was investigated from bipolar derivations along the antero‐posterior axis. Distinct peaks in the power and coherence spectra were present in NREM sleep but not in REM sleep. They were situated in the frequency range of sleep spindles (13–14 Hz), alpha band (9–10 Hz) and low delta band (1–2 Hz). Whereas the peaks coincided in the power and coherence spectra, a dissociation of their temporal evolution was observed. In the low delta band, only power but not coherence showed a decline across successive NREM sleep episodes. Moreover, power increased gradually in the first part of a NREM sleep episode, whereas coherence showed a rapid rise. The results indicate that the intrahemispheric and interhemispheric coherence of EEG activity attains readily a high level in NREM sleep and is largely independent of the signal amplitude.
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During human slow wave sleep (SWS), the EEG shows predominant slow wave activity (SWA), defined by the 0.5- to 4.0-Hz frequency band and including <1-Hz slow oscillations with a peak frequency of 0.8 Hz.
“During human slow wave sleep (SWS), the EEG shows predominant slow wave activity (SWA), which is defined by the 0.5-to 4.0-Hz frequency band and includes the Ͻ1-Hz slow oscillations with a peak frequency of 0.8 Hz (7,830).”
From About Sleep's Role in Memory (2013) · cites this paper as [7]
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Czisch, M., & Wehrle, R. (2022) · Springer eBooks · doi:10.1007/978-3-031-07121-8_16
Sleep-Dependent Memory Replay Enables Brain-Like Robustness in Neural Networks
Xie, S., Tang, T., Feng, L., Lin, F., & Wei, Y. (2023) · Lecture notes in computer science · doi:10.1007/978-981-99-6483-3_19
Vyazovskiy, V. V., & Andrillon, T. (2025) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780197602751.013.39
The sleeping brain at work : perceptual processing and learning in human sleep Thomas Andrillon
Andrillon, T. (2016) · theses.fr (ABES) · doi:10.70675/db586b86zc952z428fza153z70690caa929f
Bifurcations and Hyperchaos in Mathematical Models of Sleep
Scibilia, A., & Fortuna, L. (2026) · Bioengineering · doi:10.3390/bioengineering13070833
Emergent multiscale organisation of neural dynamics fragments in anaesthesia
Milinkovic, B., Seth, A. C., Barnett, L., Carter, O. L., & Andrillon, T. (2026) · Imaging Neuroscience · doi:10.1162/imag.a.1364 · Cited by 4 · see citing works
Neuronal properties, network operations and behavioral signs during sleep states and wakefulness
Steriade, M. (2001) · Cambridge University Press eBooks · doi:10.1017/cbo9780511541711.004
- Authors
- Achermann, P., & BorbÉly, A.
- Affiliations
- University of Zurich (CH)
- Venue
- Journal of Sleep Research
- Publisher
- Wiley
- Published
- 1998-06
- Volume
- 7
- Issue
- S1
- Pages
- 36-41
- ISSN
- 0962-1105 (ISSN-L)
- 1365-2869
- OpenAlex
- W2043478751
- Cited by
- 89
- References
- 24
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 1 · 2023: 1 · 2022: 2 · 2020: 3 · 2019: 2 · 2018: 5 · 2017: 2 · 2016: 3 · 2015: 1 · 2014: 3 · 2013: 8 · 2012: 7
- FWCI
- 3.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Sleep Research (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Keywords
- EEG coherence, sleep spindles, NREM sleep, REM sleep, alpha band, delta band, intrahemispheric coherence, interhemispheric coherence, cerebral hemispheres
- MeSH terms
- Electroencephalography, Humans, Sleep, REM, Time Factors
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