Cited by 289Neural dynamics and brain functionSleep and Wakefulness ResearchNeuroscience and Neuropharmacology Research

Precise Long-Range Synchronization of Activity and Silence in Neocortical Neurons during Slow-Wave Sleep

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Volgushev, Maxim, Chauvette, Sylvain, Mukovski, Mikhail, Timofeev, Igor·2006·The Journal of Neuroscience

Abstract

Slow-wave sleep is characterized by alternating periods of activity and silence in corticothalamic networks. Both activity and silence are stable network states, but the mechanisms of their alternation remain unknown. We show, using simultaneous multisite intracellular recordings in cats, that slow rhythm involves all neocortical neurons and that both activity and silence started almost synchronously in cells located up to 12 mm apart. Activity appeared predominantly at the area 5/7 border and spread in both anterior and posterior directions. The activity started earlier in fast-spiking cells and intrinsically bursting cells than in regular-spiking neurons. These results provide direct evidence for two mechanisms of active state generation: spread of activity from a local focus and synchronization of weaker activity, originating at multiple locations. Surprisingly, onsets of silent states were synchronized even more precisely than the onsets of activity, showing no latency bias for location or cell type. This most intriguing finding exposes a major gap in understanding the nature of state alternation. We suggest that it is the synchronous termination of activity and occurrence of silent states of the neuronal network that makes the EEG picture during slow-wave sleep so characteristic. Synchronous onset of silence in distant neurons cannot rely exclusively on properties of individual cells and synapses, such as adaptation of neuronal firing or synaptic depression; instead, it implies the existence of a network mechanism. Revealing this yet unknown large-scale mechanism, which switches network activity to silence, will aid our understanding of the origin of brain rhythms in normal function and pathology.

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Crossref · 10.1523/jneurosci.0279-06.2006

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  • In the scalp EEG, the negative peak of the slow oscillation coincides with the beginning of the down-to-up state transition, whereas the depolarizing phase of sustained firing correlates with the positive EEG deflection.

    “In the scalp EEG, the negative peak of the slow oscillation coincides with the beginning of the down-to-up state transition (281, 993, 1261), whereas the depolarizing phase of sustained firing corre-lates with the positive EEG deflection (33,998,1268).”

    From About Sleep's Role in Memory (2013) · cites this paper as [1261]

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Authors
Volgushev, M., Chauvette, S., Mukovski, M., & Timofeev, I.
Affiliations
  • Ruhr University Bochum (DE)
  • Université Laval (CA)
Corresponding author
Timofeev, Igor
Venue
The Journal of Neuroscience
Published
2006-05-24
Volume
26
Issue
21
Pages
5665-5672
ISSN
  • 0270-6474 (ISSN-L)
  • 1529-2401
OpenAlex
W1999695968
Cited by
289
References
3
Citations by year
2026: 7 · 2025: 10 · 2024: 11 · 2023: 10 · 2022: 13 · 2021: 10 · 2020: 12 · 2019: 23 · 2018: 9 · 2017: 12 · 2016: 17 · 2015: 16 · 2014: 18 · 2013: 20 · 2012: 17
FWCI
6.96
Type
journal article
Language
en
Open access
Locations
  • Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Corpus Université Laval (Université Laval) (submittedVersion)
Funders
  • Deutsche Forschungsgemeinschaft
  • Canadian Institutes of Health Research
  • Natural Sciences and Engineering Research Council of Canada
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Keywords
slow-wave sleep, neuronal synchronization, corticothalamic network, neocortical neurons, fast-spiking interneurons, regular-spiking neurons
MeSH terms
Action Potentials, Animals, Biological Clocks, Cats, Cortical Synchronization, Nerve Net, Neurons, Sleep, Neocortex

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