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Cited by 375Sleep and Wakefulness ResearchNeural dynamics and brain functionNeuroscience of respiration and sleep

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Network Homeostasis and State Dynamics of Neocortical Sleep

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Watson, Brendon O., Levenstein, Daniel, Greene, J. Palmer, Gelinas, Jennifer N., Buzsáki, György·2016·Neuron
DOI 10.1016/j.neuron.2016.03.036PMC PMC4873379
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Abstract

Sleep exerts many effects on mammalian forebrain networks, including homeostatic effects on both synaptic strengths and firing rates. We used large-scale recordings to examine the activity of neurons in the frontal cortex of rats and first observed that the distribution of pyramidal cell firing rates was wide and strongly skewed toward high firing rates. Moreover, neurons from different parts of that distribution were differentially modulated by sleep substates. Periods of nonREM sleep reduced the activity of high firing rate neurons and tended to upregulate firing of slow-firing neurons. By contrast, the effect of REM was to reduce firing rates across the entire rate spectrum. Microarousals, interspersed within nonREM epochs, increased firing rates of slow-firing neurons. The net result of sleep was to homogenize the firing rate distribution. These findings are at variance with current homeostatic models and provide a novel view of sleep in adjusting network excitability.

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  • During human NREM sleep, the EEG exhibits low-frequency (<4 Hz) oscillatory dynamics that support memory and neural computation.

    “During human non-rapid eye movement (NREM) sleep, the electroencephalogram (EEG) exhibits low-frequency (<4 Hz) oscillatory dynamics that support memory and neural computation (1-8).”

    From Coupled electrophysiological, hemodynamic, and cerebrospinal fluid oscillations in human sleep (2019) · cites this paper as [8]

    The Results section, “Firing rate and LFP changes within nonREM episodes and packets” (page unavailable), identifies a 0.5–4 Hz delta band during NREM sleep. But the Experimental Procedures describe recordings of rat cortical local field potentials, not human EEG, and the paper does not establish that these low-frequency dynamics support memory and neural computation. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

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Metadata

Authors
Watson, B. O., Levenstein, D., Greene, J. P., Gelinas, J. N., & Buzsáki, G.
Affiliations
  • Weill Cornell Medicine (US)
  • New York University (US)
Corresponding author
Buzsáki, György
ORCID
Venue
Neuron
Publisher
Elsevier BV
Published
2016-05
Volume
90
Issue
4
Pages
839-852
ISSN
0896-6273 (ISSN-L)
DOI
10.1016/j.neuron.2016.03.036
PMC
PMC4873379
OpenAlex
W2343813323
Cited by
375
References
10
Citations by year
2026: 48 · 2025: 37 · 2024: 38 · 2023: 31 · 2022: 31 · 2021: 34 · 2020: 36 · 2019: 59 · 2018: 27 · 2017: 28 · 2016: 6
FWCI
19.79
Type
journal article
Language
en
Open access
Licence
Locations
  • Neuron (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institute of Mental Health (R01MH054671, R01MH107396, K08MH107662)
  • National Institute of Neurological Disorders and Stroke (U01NS090583, U01NS090526)
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (K12HD000850)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Neuroscience of respiration and sleep
Keywords
sleep homeostasis, frontal cortex, pyramidal neurons, neuronal firing rate, NREM sleep, REM sleep, microarousals, network excitability, synaptic homeostasis
MeSH terms
Action Potentials, Animals, Homeostasis, Male, Synaptic Transmission, Neurons, Sleep, Wakefulness, Neocortex, Rats, Long-Evans

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