The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Local sleep in awake rats
Open accessAbstract
In an awake state, neurons in the cerebral cortex fire irregularly and electroencephalogram (EEG) recordings display low-amplitude, high-frequency fluctuations. During sleep, neurons oscillate between 'on' periods, when they fire as in an awake brain, and 'off' periods, when they stop firing altogether and the EEG displays high-amplitude slow waves. However, what happens to neuronal firing after a long period of being awake is not known. Here we show that in freely behaving rats after a long period in an awake state, cortical neurons can go briefly 'offline' as in sleep, accompanied by slow waves in the local EEG. Neurons often go offline in one cortical area but not in another, and during these periods of 'local sleep', the incidence of which increases with the duration of the awake state, rats are active and display an 'awake' EEG. However, they are progressively impaired in a sugar pellet reaching task. Thus, although both the EEG and behaviour indicate wakefulness, local populations of neurons in the cortex may be falling asleep, with negative consequences for performance.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“However, as distinct qualitative differences between both frequency bands have not been confirmed, the decrease in SWA across sleep appears to be most parsimoniously explained by a decrease in the incidence of high-amplitude slow waves (1267).”
From About Sleep's Role in Memory (2013) · cites this paper as [1267]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“in demonstrating that the encoding of information during waking enhances subsequent SWA in specific brain regions, these studies provide compelling evidence that SWA is regulated locally in addition to its global regulation by brain stem and diencephalic structures (672, 859, 975, 1267).”
From About Sleep's Role in Memory (2013) · cites this paper as [1267]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“these studies provide compelling evidence that SWA is regulated locally in addition to its global regulation by brain stem and diencephalic structures (672, 859, 975, 1267).”
From About Sleep's Role in Memory (2013) · cites this paper as [1267]
Experimental — accuracy not yet measuredIn the citing paper
“Likewise, the intensity of slow waves in the cortical field potential slowly increases over the active period, in direct relationship to more frequent and longer sleep bouts”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Vyazovskiy et al., 2011
In the citing paper
“In addition to the phenomena described above, the degree of habituation to an experimental situation may also change the prevalence of low frequency rhythms in the cortex”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Vyazovskiy et al., 2011
In the citing paper
“In one recent study, the ability of animals to perform a difficult pellet retrieval task was significantly impaired during the appearance of Off periods in cortical networks, supporting the hypothesis that these sudden, but brief, cessations of cortical activity are detrimental to behaviorally relevant cortical operation (Vyazovskiy et al., 2011)”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Vyazovskiy et al., 2011
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Diekelmann, S., & Born, J. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2762 · Cited by 3,760
An Energy Budget for Signaling in the Grey Matter of the Brain
Attwell, D., & Laughlin, S. B. (2001) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/00004647-200110000-00001 · Cited by 3,543
Van Dongen, H. P. A., Maislin, G., Mullington, J. M., & Dinges, D. F. (2003) · Sleep · doi:10.1093/sleep/26.2.117 · Cited by 3,173
Sleep function and synaptic homeostasis
Tononi, G., & Cirelli, C. (2006) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2005.05.002 · Cited by 2,151
Self-citationHuber, R., Felice Ghilardi, M., Massimini, M., & Tononi, G. (2004) · Nature · doi:10.1038/nature02663 · Cited by 1,854
Self-citationSleep Homeostasis and Models of Sleep Regulation
Borb, A. A., & Achermann, P. (1999) · Journal of Biological Rhythms · doi:10.1177/074873099129000894 · Cited by 1,546
Effects of sleep deprivation on cognition
Killgore, W. D. S. (2010) · Progress in Brain Research · doi:10.1016/b978-0-444-53702-7.00007-5 · Cited by 1,421
Natural waking and sleep states: a view from inside neocortical neurons
Steriade, M., Timofeev, I., & Grenier, F. (2001) · Journal of Neurophysiology · doi:10.1152/jn.2001.85.5.1969 · Cited by 1,296
Learning-Induced LTP in Neocortex
Rioult-Pedotti, M.-S., Friedman, D. J., & Donoghue, J. P. (2000) · Science · doi:10.1126/science.290.5491.533 · Cited by 1,014
Regional Slow Waves and Spindles in Human Sleep
Nir, Y., Staba, R. J., Andrillon, T., Vyazovskiy, V. V., Cirelli, C., Fried, I., & Tononi, G. (2011) · Neuron · doi:10.1016/j.neuron.2011.02.043 · Cited by 924
Self-citation
Cited by
Sorted by citations
Rasch, B., & Born, J. (2013) · Physiological Reviews · doi:10.1152/physrev.00032.2012 · Cited by 2,783
Tononi, G., & Cirelli, C. (2014) · Neuron · doi:10.1016/j.neuron.2013.12.025 · Cited by 2,356
Self-citationControl of sleep and wakefulness
Brown, R. E., Basheer, R., McKenna, J. T., Strecker, R. E., & McCarley, R. W. (2012) · Physiological Reviews · doi:10.1152/physrev.00032.2011 · Cited by 1,477
An opportunity cost model of subjective effort and task performance
Kurzban, R., Duckworth, A., Kable, J. W., & Myers, J. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12003196 · Cited by 1,381
The sleep-deprived human brain
Krause, A. J., Simon, E. B., Mander, B. A., Greer, S. M., Saletin, J. M., Goldstein-Piekarski, A. N., & Walker, M. P. (2017) · Nature Reviews Neuroscience · doi:10.1038/nrn.2017.55 · Cited by 1,200
Metadata
- Authors
- Vyazovskiy, V. V., Olcese, U., Hanlon, E. C., Nir, Y., Cirelli, C., & Tononi, G.
- Affiliations
- University of Wisconsin–Madison (US)
- Corresponding author
- Tononi, Giulio
- Venue
- Nature
- Published
- 2011-04
- Volume
- 472
- Issue
- 7344
- Pages
- 443-447
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3085007
- OpenAlex
- W2039029351
- Cited by
- 865
- References
- 42
- Citations by year
- 2026: 55 · 2025: 72 · 2024: 58 · 2023: 54 · 2022: 64 · 2021: 65 · 2020: 73 · 2019: 73 · 2018: 53 · 2017: 62 · 2016: 50 · 2015: 36 · 2014: 45 · 2013: 46 · 2012: 39
- FWCI
- 24.07
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Surrey Research Insight Open Access (The University of Surrey) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Open Research (University of Surrey) (submittedVersion)
- Funders
- National Institutes of Health (5p20mh077967-04, DP1OD000579)
- National Institute of Mental Health (P20MH-077967)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Keywords
- local sleep, cortical neuronal activity, slow waves, EEG, wakefulness, prolonged wakefulness, sleep-like state, cognitive impairment, rats, sleep-wake transition
- MeSH terms
- Action Potentials, Animals, Behavior, Animal, Cerebral Cortex, Electroencephalography, Male, Models, Neurological, Rats, Inbred WKY, Reward, Sleep, Sleep Deprivation, Wakefulness, Rats
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review