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
Items 301–400 of 852
Poudel, G. R., Innes, C., & Jones, R. D. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.054 · Cited by 33
Automatically Detected Microsleep Episodes in the Fitness-to-Drive Assessment
Skoručak, J., Hertig-Godeschalk, A., Achermann, P., Mathis, J., & Schreier, D. R. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00008 · Cited by 31
Capturing the non-stationarity of whole-brain dynamics underlying human brain states
Galadí, J. A., Pereira, S. S., Perl, Y. S., Kringelbach, M. L., Gayte, I., Laufs, H., Tagliazucchi, E., Langa, J. A., & Deco, G. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118551 · Cited by 31
Chelaru, M. I., Eagleman, S. L., Andrei, A. R., Milton, R., Kharas, N., & Dragoi, V. (2021) · Neuron · doi:10.1016/j.neuron.2021.09.042 · Cited by 30
Vanini, G., & Torterolo, P. (2021) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-61663-2_5 · Cited by 36
Cakan, C., Dimulescu, C., Khakimova, L., Obst, D., Flöel, A., & Obermayer, K. (2022) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2021.800101 · Cited by 33
Degradation of cortical representations during encoding following sleep deprivation
Poh, J.-H., & Chee, M. W. L. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.080 · Cited by 30
Chokroverty, S., & Nobili, L. (2017) · Springer eBooks · doi:10.1007/978-1-4939-6578-6_44 · Cited by 5
Sleep and Synaptic Homeostasis
Vyazovskiy, V. V., & Faraguna, U. (2014) · Current topics in behavioral neurosciences · doi:10.1007/7854_2014_301 · Cited by 35
Self-citationIn vitro Cortical Network Firing is Homeostatically Regulated: A Model for Sleep Regulation
Saberi-Moghadam, S., Simi, A., Setareh, H., Mikhail, C., & Tafti, M. (2018) · Scientific Reports · doi:10.1038/s41598-018-24339-6 · Cited by 30
Heterogeneous profiles of coupled sleep oscillations in human hippocampus
Cox, R., Rüber, T., Staresina, B. P., & Fell, J. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116178 · Cited by 33
Sleep and ageing: from human studies to rodent models
McKillop, L. E., & Vyazovskiy, V. V. (2020) · Current Opinion in Physiology · doi:10.1016/j.cophys.2020.03.004 · Cited by 31
Self-citationNeural fatigue due to intensive learning is reversed by a nap but not by quiet waking
Nelson, A. B., Ricci, S., Tatti, E., Panday, P., Girau, E., Lin, J., Thomson, B. O., Chen, H., Marshall, W., Tononi, G., et al. (2020) · SLEEP · doi:10.1093/sleep/zsaa143 · Cited by 31
Self-citationRamelteon modulates gamma oscillations in the rat primary motor cortex during non-REM sleep
Yoshimoto, A., Yamashiro, K., Suzuki, T., Ikegaya, Y., & Matsumoto, N. (2020) · Journal of Pharmacological Sciences · doi:10.1016/j.jphs.2020.11.006 · Cited by 29
Differential Effect of Anesthesia on Visual Cortex Neurons with Diverse Population Coupling
Lee, H., Tanabe, S., Wang, S., & Hudetz, A. G. (2020) · Neuroscience · doi:10.1016/j.neuroscience.2020.11.043 · Cited by 30
Translational approaches to influence sleep and arousal
Brown, R. E., Spratt, T. J., & Kaplan, G. B. (2022) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2022.05.002 · Cited by 31
Sleepiness and the transition from wakefulness to sleep
Andrillon, T., Taillard, J., & Strauss, M. (2024) · Neurophysiologie Clinique · doi:10.1016/j.neucli.2024.102954 · Cited by 31
Bumble Bee Workers Give Up Sleep to Care for Offspring that Are Not Their Own
Nagari, M., Gera, A., Jonsson, S., & Bloch, G. (2019) · Current Biology · doi:10.1016/j.cub.2019.07.091 · Cited by 29
Targeting Arousal and Sleep through Noninvasive Brain Stimulation to Improve Mental Health
Geiser, T., Hertenstein, E., Fehér, K. D., Maier, J. G., Schneider, C. L., Züst, M. A., Wunderlin, M., Mikutta, C. A., Klöppel, S., & Nissen, C. (2020) · Neuropsychobiology · doi:10.1159/000507372 · Cited by 31
Dynamics of spontaneous activity in random networks with multiple neuron subtypes and synaptic noise
Pena, R. F. O., Zaks, M. A., & Roque, A. C. (2018) · Journal of Computational Neuroscience · doi:10.1007/s10827-018-0688-6 · Cited by 29
Linking the nature and functions of sleep: insights from multimodal imaging of the sleeping brain
Song, C., & Tagliazucchi, E. (2019) · Current Opinion in Physiology · doi:10.1016/j.cophys.2019.11.012 · Cited by 29
Imaging the temporal dynamics of brain states with highly sampled fMRI
Yang, Z., & Lewis, L. D. (2021) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2021.02.005 · Cited by 33
Slow Waves Form Expanding, Memory-Rich Mesostates Steered by Local Excitability in Fading Anesthesia
Pazienti, A., Galluzzi, A., Dasilva, M., Sanchez-Vives, M. V., & Mattia, M. (2021) · iScience · doi:10.1016/j.isci.2022.103918 · Cited by 28
Tinnitus: at a crossroad between phantom perception and sleep
Milinski, L., Nodal, F. R., Vyazovskiy, V. V., & Bajo, V. M. (2022) · Brain Communications · doi:10.1093/braincomms/fcac089 · Cited by 30
Self-citationCárdenas-Egúsquiza, A. L., & Berntsen, D. (2022) · Consciousness and Cognition · doi:10.1016/j.concog.2022.103333 · Cited by 28
Non-rapid eye movement sleep determines resilience to social stress
Bush, B. J., Donnay, C., Andrews, E.-J. A., Lewis-Sanders, D., Gray, C. L., Qiao, Z., Brager, A. J., Johnson, H., Brewer, H. C., Sood, S., et al. (2022) · eLife · doi:10.7554/elife.80206 · Cited by 32
Long-term Relationships between Cholinergic Tone, Synchronous Bursting and Synaptic Remodeling
Kaufman, M., Corner, M. A., & Ziv, N. E. (2012) · PLoS ONE · doi:10.1371/journal.pone.0040980 · Cited by 28
A Framework for Quantitative Modeling of Neural Circuits Involved in Sleep-to-Wake Transition
Sorooshyari, S. K., Huerta, R., & de Lecea, L. (2015) · Frontiers in Neurology · doi:10.3389/fneur.2015.00032 · Cited by 27
Buckley, C. L., & Toyoizumi, T. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005926 · Cited by 28
Tukker, J. J., Beed, P. S., Schmitz, D., Larkum, M. E., & Sachdev, R. N. S. (2020) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2020.00022 · Cited by 32
Chee, M. W. (2015) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2014.10.003 · Cited by 27
Power spectrum slope is related to motor function after focal cerebral ischemia in the rat
Leemburg, S., Gao, B., Cam, E., Sarnthein, J., & Bassetti, C. L. (2018) · SLEEP · doi:10.1093/sleep/zsy132 · Cited by 29
Jubera-García, E., Gevers, W., & Filip Van Opstal, A. (2021) · Biochemical Pharmacology · doi:10.1016/j.bcp.2021.114478 · Cited by 29
Activity of cortical and thalamic neurons during the slow (<1 Hz) rhythm in the mouse in vivo
Crunelli, V., Lörincz, M. L., Errington, A. C., & Hughes, S. W. (2011) · Pflügers Archiv - European Journal of Physiology · doi:10.1007/s00424-011-1011-9 · Cited by 28
Shri, T. K. P., & Sriraam, N. (2016) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2016.09.016 · Cited by 27
Waking experience modulates sleep need in mice
Milinski, L., Fisher, S. P., Cui, N., McKillop, L. E., Blanco‐Duque, C., Ang, G., Yamagata, T., Bannerman, D. M., & Vyazovskiy, V. V. (2021) · BMC Biology · doi:10.1186/s12915-021-00982-w · Cited by 28
Self-citationSlow oscillations open susceptible time windows for epileptic discharges
Sheybani, L., Mégevand, P., Spinelli, L., Bénar, C., Momjian, S., Seeck, M., Quairiaux, C., Kleinschmidt, A. K., & Vulliémoz, S. (2021) · Epilepsia · doi:10.1111/epi.17020 · Cited by 26
Deterministic and Stochastic Components of Cortical Down States: Dynamics and Modulation
Camassa, A., Galluzzi, A., Mattia, M., & Sanchez-Vives, M. V. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.0914-22.2022 · Cited by 28
A nonoscillatory, millisecond-scale embedding of brain state provides insight into behavior
Parks, D. F., Schneider, A. M., Xu, Y., Brunwasser, S. J., Funderburk, S. C., Thurber, D., Blanche, T., Dyer, E. L., Haussler, D. H., & Hengen, K. B. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01715-2 · Cited by 26
Use of Drosophila in the investigation of sleep disorders
Donelson, N. C., & Sanyal, S. (2015) · Experimental Neurology · doi:10.1016/j.expneurol.2015.06.024 · Cited by 27
State-Dependent Modulation of Slow Wave Motifs towards Awakening
Shimaoka, D., Song, C., & Knöpfel, T. (2017) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2017.00108 · Cited by 31
Dynamic- and Frequency-Specific Regulation of Sleep Oscillations by Cortical Potassium Channels
Muheim, C., Spinnler, A., Sartorius, T., Dürr, R., Huber, R., Kabagema‐Bilan, C., Ruth, P., & Brown, S. A. (2019) · Current Biology · doi:10.1016/j.cub.2019.07.056 · Cited by 26
Acetylcholine and metacognition during sleep
Gott, J. A., Stücker, S., Kanske, P., Haaker, J., & Dresler, M. (2024) · Consciousness and Cognition · doi:10.1016/j.concog.2023.103608 · Cited by 25
Brain state identification and neuromodulation to promote recovery of consciousness
van der Lande, G., Casas-Torremocha, D., Manasanch, A., Porta, L. D., Gosseries, O., Alnagger, N., Barra, A., Mejías, J. F., Panda, R., Riefolo, F., et al. (2024) · Brain Communications · doi:10.1093/braincomms/fcae362 · Cited by 26
Mind wandering enhances statistical learning
Vékony, T., Farkas, B. C., Brezóczki, B., Mittner, M., Csifcsák, G., Simor, P., & Németh, D. (2025) · iScience · doi:10.1016/j.isci.2024.111703 · Cited by 28
Müller, P. M., Miron, G., Holtkamp, M., & Meisel, C. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2417117122 · Cited by 26
Pinggal, E., Dockree, P. M., O’Connell, R. G., Bellgrove, M. A., & Andrillon, T. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.0836-22.2022 · Cited by 25
Cortical parvalbumin neurons are responsible for homeostatic sleep rebound through CaMKII activation
Kon, K., Ode, K. L., Mano, T., Fujishima, H., Takahashi, R. R., Tone, D., Shimizu, C., Shiono, S., Yada, S., Matsuzawa, K., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-50168-5 · Cited by 26
NREM sleep improves behavioral performance by desynchronizing cortical circuits
Kharas, N., Chelaru, M. I., Eagleman, S. L., Parajuli, A., & Dragoi, V. (2024) · Science · doi:10.1126/science.adr3339 · Cited by 27
Sleep deprivation reduces the rate of rapid picture processing
Kong, D., Asplund, C. L., & Chee, M. W. L. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.01.037 · Cited by 25
Borbély, S., Világi, I., Haraszti, Z., Szalontai, Ö., Hajnik, T., Tóth, A., & Détári, L. (2017) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2017.12.003 · Cited by 25
Kozák, G., Földi, T., & Berényi, A. (2019) · eNeuro · doi:10.1523/eneuro.0253-19.2019 · Cited by 25
Arousal state feedback as a potential physiological generator of the ultradian REM/NREM sleep cycle
Phillips, A. J. K., Robinson, P. A., & Klerman, E. (2012) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2012.11.029 · Cited by 25
Kaufman, M., Reinartz, S., & Ziv, N. E. (2014) · BMC Biology · doi:10.1186/s12915-014-0083-3 · Cited by 25
Sabri, E., & Arabzadeh, E. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.09.016 · Cited by 24
van Hasselt, S. J., Rusche, M., Vyssotski, A. L., Verhulst, S., Rattenborg, N. C., & Meerlo, P. (2019) · SLEEP · doi:10.1093/sleep/zsz311 · Cited by 24
Kaźmierczak, M., & Nicola, S. M. (2022) · Neuroscience · doi:10.1016/j.neuroscience.2022.07.008 · Cited by 26
Is the role of sleep in memory consolidation overrated?
Dastgheib, M., Kulanayagam, A., & Dringenberg, H. C. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104799 · Cited by 27
Gutzen, R., Bonis, G. D., Luca, C. D., Pastorelli, E., Capone, C., Mascaro, A. L. A., Resta, F., Manasanch, A., Pavone, F. S., Sanchez-Vives, M. V., et al. (2024) · Cell Reports Methods · doi:10.1016/j.crmeth.2023.100681 · Cited by 24
Ehlen, J. C., Jefferson, F., Brager, A. J., Benveniste, M., & Paul, K. N. (2013) · SLEEP · doi:10.5665/sleep.3138 · Cited by 24
Varshavsky, A. J. (2012) · Protein Science · doi:10.1002/pro.2148 · Cited by 25
A daytime nap enhances visual working memory performance and alters event-related delay activity
MacDonald, K. J., Lockhart, H. A., Storace, A. C., Emrich, S. M., & Côté, K. A. (2018) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-018-0625-1 · Cited by 25
Frohlich, J., Bird, L. M., Dell’Italia, J., Johnson, M. A., Hipp, J. F., & Monti, M. M. (2020) · Neuroscience of Consciousness · doi:10.1093/nc/niaa005 · Cited by 25
The missing cost of ecological sleep loss
Lesku, J. A., & Rattenborg, N. C. (2022) · SLEEP Advances · doi:10.1093/sleepadvances/zpac036 · Cited by 25
Avian Versus Mammalian Sleep: the Fruits of Comparing Apples and Oranges
Rattenborg, N. C., & Martı́nez-González, D. (2014) · Current Sleep Medicine Reports · doi:10.1007/s40675-014-0001-9 · Cited by 23
Llansola, M., Cantero, J. L., Hita-Yáñez, E., Mirones-Maldonado, M. J., Piedrafita, B., Ahabrach, H., Errami, M., Agustí, A., & Felipo, V. (2011) · Neuroscience · doi:10.1016/j.neuroscience.2011.11.009 · Cited by 23
Bannon, N. M., Chistiakova, M., Chen, J., Bazhenov, M., & Volgushev, M. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.2984-16.2016 · Cited by 25
Vyazovskiy, V. V., Palchykova, S., Achermann, P., Tobler, I., & Deboer, T. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx020 · Cited by 23
Self-citationHippocampal Contributions to Declarative Memory Consolidation During Sleep
Antony, J. W., & Paller, K. A. (2017) · Springer eBooks · doi:10.1007/978-3-319-50406-3_9 · Cited by 27
Focal Electroencephalographic Changes Index Post-Traumatic Confusion and Outcome
Shah, S. A., Mohamadpour, M., Askin, G., Nakase‐Richardson, R., Stokić, D. S., Sherer, M., Yablon, S. A., & Schiff, N. D. (2017) · Journal of Neurotrauma · doi:10.1089/neu.2016.4911 · Cited by 23
Tamaki, M., Bang, J. W., Watanabe, T., & Sasaki, Y. (2013) · Vision Research · doi:10.1016/j.visres.2013.10.023 · Cited by 23
Gorgoni, M., Bartolacci, C., D’Atri, A., Scarpelli, S., Marzano, C., Moroni, F., Ferrara, M., & Gennaro, L. D. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00312 · Cited by 23
Spiking patterns and synchronization of thalamic neurons along the sleep-wake cycle
Hopkins, N. H., Sanz‐Leon, P., Roy, D., & Postnova, S. (2018) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.5039754 · Cited by 22
Increased cortical excitability but stable effective connectivity index during attentional lapses
Cardone, P., Egroo, M. V., Chylinski, D., Narbutas, J., Gaggioni, G., & Vandewalle, G. (2020) · SLEEP · doi:10.1093/sleep/zsaa284 · Cited by 22
How we sleep: From brain states to processes
Andrillon, T. (2023) · Revue Neurologique · doi:10.1016/j.neurol.2023.08.007 · Cited by 24
Cortical neuronal activity does not regulate sleep homeostasis
Qiu, M.-H., Chen, M. C., & Lu, J. (2015) · Neuroscience · doi:10.1016/j.neuroscience.2015.03.070 · Cited by 24
Inter-Hemispheric Oscillations in Human Sleep
Imbach, L., Werth, E., Kallweit, U., Sarnthein, J., Scammell, T. E., & Baumann, C. R. (2012) · PLoS ONE · doi:10.1371/journal.pone.0048660 · Cited by 22
Jerath, R., Beveridge, C., & Jensen, M. A. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00426 · Cited by 22
Neuronal substrates for initiation, maintenance, and structural organization of sleep/wake states
Eban-Rothschild, A., & de Lecea, L. (2017) · F1000Research · doi:10.12688/f1000research.9677.1 · Cited by 19
Kaur, Y., Ouyang, G., Junge, M., Sommer, W., Liu, M., Zhou, C., & Hildebrandt, A. (2019) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2019.108343 · Cited by 21
Asymmetry of sleep electrophysiological markers in patients with focal epilepsy
Sheybani, L., Mégevand, P., Roehri, N., Spinelli, L., Kleinschmidt, A. K., van Mierlo, P., Seeck, M., & Vulliémoz, S. (2023) · Brain Communications · doi:10.1093/braincomms/fcad161 · Cited by 21
General anaesthesia and electroencephalographic spindles
Sleigh, J. W., Scheib, C. M., & Sanders, R. D. (2011) · Trends in Anaesthesia and Critical Care · doi:10.1016/j.tacc.2011.10.001 · Cited by 22
Human fronto-parietal response scattering subserves vigilance at night
Gaggioni, G., Ly, J. Q. M., Chellappa, S. L., Wallant, D. C. ’., Rosanova, M., Sarasso, S., Luxen, A., Salmon, É., Middleton, B., Massimini, M., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.03.055 · Cited by 21
Zempel, J. M., Politte, D. G., Kelsey, M., Verner, R., Nolan, T. S., Abbas Babajani-feremi, A., Prior, F., & Larson‐Prior, L. J. (2012) · Frontiers in Neurology · doi:10.3389/fneur.2012.00076 · Cited by 21
Schreier, D. R., Roth, C., & Mathis, J. (2015) · Sleep Medicine · doi:10.1016/j.sleep.2015.01.023 · Cited by 21
Ode, K. L., Katsumata, T., Tone, D., & Ueda, H. R. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.05.007 · Cited by 22
Differential recordings of local field potential: A genuine tool to quantify functional connectivity
Meyer, G., Carponcy, J., Salin, P. A., & Comte, J. (2018) · PLoS ONE · doi:10.1371/journal.pone.0209001 · Cited by 20
Specific Increase of Hippocampal Delta Oscillations Across Consecutive Treadmill Runs
Furtunato, A. M. B., Soares, B. L., Tort, A. B. L., & Belchior, H. (2020) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2020.00101 · Cited by 20
Local neuronal sleep after stroke: The role of cortical bistability in brain reorganization
Tscherpel, C., Mustin, M., Massimini, M., Paul, T., Ziemann, U., Fink, G. R., & Grefkes, C. (2024) · Brain stimulation · doi:10.1016/j.brs.2024.07.008 · Cited by 21
Cortical response states for enhanced sensory discrimination
Gutnisky, D. A., Beaman, C. B., Lew, S. E., & Dragoi, V. (2017) · eLife · doi:10.7554/elife.29226 · Cited by 21
Gerashchenko, D., Schmidt, M. A., Zielinski, M. R., Moore, M. E., & Wisor, J. P. (2018) · Neuroscience · doi:10.1016/j.neuroscience.2018.02.006 · Cited by 20
Model of anaesthetic induction by unilateral intracerebral microinjection of GABA ergic agonists
Devor, M. G., Zalkind, V. I., Fishman, Y., & Minert, A. (2016) · European Journal of Neuroscience · doi:10.1111/ejn.13186 · Cited by 20
The Two-Process Model: Origin of Its Concepts and Their Implications
Borbély, A. A., & Tobler, I. (2023) · Clinical and Translational Neuroscience · doi:10.3390/ctn8010005 · Cited by 19
Progressive sleep disturbance in various transgenic mouse models of Alzheimer’s disease
Drew, V. J., Wang, C., & Kim, T. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1119810 · Cited by 19
Circadian rhythms and sleep—the metabolic connection
Albrecht, U. (2011) · Pflügers Archiv - European Journal of Physiology · doi:10.1007/s00424-011-0986-6 · Cited by 19
Whitehead, K., Laudiano‐Dray, M. P., Meek, J. H., & Lorenzo Fabrizi, D. (2018) · SLEEP · doi:10.1093/sleep/zsy096 · Cited by 19
Cooper, L. N., Mishra, I., & Ashley, N. T. (2018) · Physiological and Biochemical Zoology · doi:10.1086/701170 · Cited by 19
Sleep and circadian rhythms: Evolutionary entanglement and local regulation
Krueger, J. M. (2020) · Neurobiology of Sleep and Circadian Rhythms · doi:10.1016/j.nbscr.2020.100052 · Cited by 19
Sleep deprivation and compensatory cognitive effort on a visual information processing task
Sullan, M. J., Drummond, S. P. A., & Granholm, E. L. (2020) · SLEEP · doi:10.1093/sleep/zsaa177 · Cited by 20
de Boishebert, L. D. C., Pradat, P., Bastuji, H., Ricordeau, F., Gormand, F., Cam, P. L., Stauffer, E., Petitjean, T., & Peter-Derex, L. (2021) · Clocks & Sleep · doi:10.3390/clockssleep3020016 · Cited by 18
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