The DOI matches its Crossref record; 48 of the 49 references it cites were found in a registry or an index.
Spatiotemporal Analysis of Local Field Potentials and Unit Discharges in Cat Cerebral Cortex during Natural Wake and Sleep States
Open accessAbstract
The electroencephalogram displays various oscillation patterns during wake and sleep states, but their spatiotemporal distribution is not completely known. Local field potentials (LFPs) and multiunits were recorded simultaneously in the cerebral cortex (areas 5-7) of naturally sleeping and awake cats. Slow-wave sleep (SWS) was characterized by oscillations in the slow (<1 Hz) and delta (1-4 Hz) frequency range. The high-amplitude slow-wave complexes consisted in a positivity of depth LFP, associated with neuronal silence, followed by a sharp LFP negativity, correlated with an increase of firing. This pattern was of remarkable spatiotemporal coherence, because silences and increased firing occurred simultaneously in units recorded within a 7 mm distance in the cortex. During wake and rapid-eye-movement (REM) sleep, single units fired tonically, whereas LFPs displayed low-amplitude fast activities with increased power in fast frequencies (15-75 Hz). In contrast with the widespread synchronization during SWS, fast oscillations during REM and wake periods were synchronized only within neighboring electrodes and small time windows (100-500 msec). This local synchrony occurred in an apparent irregular manner, both spatially and temporally. Brief periods (<1 sec) of fast oscillations were also present during SWS in between slow-wave complexes. During these brief periods, the spatial and temporal coherence, as well as the relation between units and LFPs, was identical to that of fast oscillations of wake or REM sleep. These results show that natural SWS in cats is characterized by slow-wave complexes, synchronized over large cortical territories, interleaved with brief periods of fast oscillations, characterized by local synchrony, and of characteristics similar to that of the sustained fast oscillations of activated states.
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
“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 [281]
Experimental — accuracy not yet measuredIn the citing paper
“Internal brain state can fluctuate even in the absence of overt behavioral changes – most notably in the well-characterized transitions between sleep and waking and within different stages of sleep.”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Destexhe et al., 1999
In the citing paper
“Falling asleep, or moving from slow wave sleep into rapid eye movement sleep, results in profound changes in the operation of the brain (Figure 1), including changes in spontaneous activity, the ability to execute motor commands, responses to sensory stimuli and the fidelity of internal representations of the world”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Destexhe et al., 1999
In the citing paper
“Gain modulation mechanisms are also robustly engaged by changes in internal state32–35.”
From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [34]
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
Numerical Recipes, The Art of Scientific Computing
Press, W. H., Flannery, B. P., Teukolsky, S. A., Vetterling, W. T., & Gould, H. (1987) · American Journal of Physics · doi:10.1119/1.14981 · Cited by 10,032
Numerical recipes: the art of scientific computing
Press, W. H., Flannery, B. P., Teukolsky, S. A., Vetterling, W. T., & CHIPPERFIELD, J. R. (1987) · Analytica Chimica Acta · doi:10.1016/s0003-2670(00)82860-3 · Cited by 4,205
Gray, C. M., König, P., Engel, A. K., & Singer, W. (1989) · Nature · doi:10.1038/338334a0 · Cited by 4,183
Nunez, P. L., & Srinivasan, R. (2006) · doi:10.1093/acprof:oso/9780195050387.001.0001 · Cited by 2,531
Stimulus-specific neuronal oscillations in orientation columns of cat visual cortex
Gray, C. M., & Singer, W. (1989) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.86.5.1698 · Cited by 2,463
Coherent oscillations: A mechanism of feature linking in the visual cortex?
Eckhorn, R., Bauer, R., Jordan, W., Brosch, M., Kruse, W., Munk, M., & Reitboeck, H. J. (1988) · Biological Cybernetics · doi:10.1007/bf00202899 · Cited by 2,329
Electric Fields of the Brain: The Neurophysics of EEG
Nunez, P. L., & Harth, E. M. (1982) · Physics Today · doi:10.1063/1.2915137 · Cited by 2,257
Steriade, M., Nunez, A., & Amzica, F. (1993) · The Journal of Neuroscience · doi:10.1523/jneurosci.13-08-03252.1993 · Cited by 1,903
Self-citationCalcium Signaling in Neurons: Molecular Mechanisms and Cellular Consequences
Ghosh, A., & Greenberg, M. E. (1995) · Science · doi:10.1126/science.7716515 · Cited by 1,411
Coherent 25- to 35-Hz oscillations in the sensorimotor cortex of awake behaving monkeys.
Murthy, V. N., & Fetz, E. E. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.12.5670 · Cited by 996
Research works printed but not linked: 2
- Destexhe, 1998, Spatial and temporal relations between extracellular neuronal discharges and local field potential oscillations in cat cerebral cortex during natural wake and sleep states., Soc Neurosci Abstr, 24, 13
- Steriade M, Timofeev I, Grenier F (1999) Intracellular activity of various neocortical cell-classes during the natural wake-sleep cycle. Soc Neurosci Abstr, in press.
Cited by
Sorted by citations
Items 501–569 of 569
Critical bistability and large-scale synchrony in human brain dynamics
Wang, S. H. (2021) · Työväentutkimus Vuosikirja
(2004) · The History of neuroscience in autobiography · doi:10.1016/s1874-6055(04)80025-2
Kasabov, N. K., Beňušková, Ľ., & Wysoski, S. G. (2005) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2004.1454180
Steriade, M. (2001) · Cambridge University Press eBooks · doi:10.1017/cbo9780511541711.001
Self-citationRoger, R. D., & Whittington, M. A. (2010) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195342796.003.0005
Alain Destexhe, A. (2009) · Elsevier eBooks · doi:10.1016/b978-008045046-9.01417-0
Roger, R. D., & Whittington, M. A. (2010) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195342796.003.0001
Roger, R. D., & Whittington, M. A. (2010) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195342796.003.0006
Roger, R. D., & Whittington, M. A. (2010) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195342796.003.0004
The Electrophysiological Background of the fMRI Signal
Kayser, C., & Logothetis, N. K. (2020) · Springer eBooks · doi:10.1007/978-3-030-41874-8_3
Roger, R. D., & Whittington, M. A. (2010) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195342796.003.0014
Roger, R. D., & Whittington, M. A. (2010) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195342796.003.0002
Roger, R. D., & Whittington, M. A. (2010) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195342796.003.0007
Local Field Potential: Relationship to Membrane Synaptic Potentials
Taub, A. H., Lampl, I., & Okun, M. (2019) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-4614-7320-6_728-2
(2010) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195342796.002.0004
(2010) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195342796.002.0006
(2010) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195342796.002.0005
(2010) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195342796.002.0009
Local Field Potential: Relationship to Membrane Synaptic Potentials
Taub, A. H., Lampl, I., & Okun, M. (2022) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-0716-1006-0_728
Alain Destexhe, A., & Bédard, C. (2014) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-4614-7320-6_548-1
Dihydropyridine calcium blockers do not interfere with non-rapid eye movement sleep
Han, G., Matsumoto, S., Díaz, J., Greene, R. W., & Vogt, K. E. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.969712
Experimental and computational analysis of REM sleep distributed cortical activity in mice
Peuvrier, M., Fernandez, L. M. J., Crochet, S., Alain Destexhe, A., & Salin, P. A. (2022) · theses.fr (ABES) · doi:10.70675/0a074280z941fz4230zbee3z6c96eae3a3c1
Editor's evaluation: Spike-phase coupling patterns reveal laminar identity in primate cortex
Izquierdo, A. (2023) · eLife · doi:10.7554/elife.84512.sa0
Empirical mode decomposition of local field potential data from optogenetic experiments
Oprisan, S. A., Clementsmith, X., Tompa, T., & Lavı́n, A. (2023) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2023.1223879
Exarchos, T. P., Whelan, R., & Tarnanas, I. (2023) · Advances in experimental medicine and biology · doi:10.1007/978-3-031-31982-2_1
RetractedKanda, T., Aritake, T., Ohyama, K., Vogt, K. E., Makino, Y., McHugh, T. J., Hino, H., Akaho, S., & Murata, N. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.07.29.550297
Biophysical models of synaptic interactions
Alain Destexhe, A., & B, T. J. S. A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.003.0005
Thalamocortical mechanisms for spike-and-wave epileptic seizures
Alain Destexhe, A., & B, T. J. S. A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.003.0008
(2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.002.0009
Spindle oscillations in thalamic circuits
Alain Destexhe, A., & B, T. J. S. A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.003.0006
Ionic bases of the membrane potential
Alain Destexhe, A., & B, T. J. S. A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.005.0001
A physiological role for sleep oscillations
Alain Destexhe, A., & B, T. J. S. A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.003.0009
Biophysical models of the membrane potential and ionic currents
Alain Destexhe, A., & B, T. J. S. A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.003.0002
Spindle oscillations in the thalamocortical system
Alain Destexhe, A., & B, T. J. S. A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.003.0007
Data available on the Internet
Alain Destexhe, A., & B, T. J. S. A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.005.0003
(2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.002.0006
Electrophysiological properties of thalamic reticular neurons
Alain Destexhe, A., & B, T. J. S. A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.003.0004
(2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.002.0005
(2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.002.0004
Alain Destexhe, A., & B, T. J. S. A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.003.0001
(2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.002.0003
(2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.002.0007
Electrophysiological properties of thalamic relay neurons
Alain Destexhe, A., & B, T. J. S. A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.003.0003
Optimized algorithms for simulating synaptic currents
Alain Destexhe, A., & B, T. J. S. A. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198864998.005.0002
Realistic coupling enables flexible macroscopic traveling waves in the mouse cortex
Sun, G., Hazelden, J., Kim, R., & Forger, D. B. (2026) · eLife · doi:10.1101/2025.07.05.663278
Realistic coupling enables flexible macroscopic traveling waves in the mouse cortexPreprint
Sun, G., Hazelden, J., Kim, R., & Forger, D. B. (2025) · eLife · doi:10.7554/elife.108208
Realistic coupling enables flexible macroscopic traveling waves in the mouse cortexPreprint
Sun, G., Hazelden, J., Kim, R., & Forger, D. B. (2025) · eLife · doi:10.7554/elife.108208.1
Spatially Extensive LFP Correlations Identify Slow-Wave Sleep in Marmoset Sensorimotor Cortex
Aparicio, P. L., Walker, J. D., MacLean, J. N., & Hatsopoulos, N. G. (2025) · eNeuro · doi:10.1523/eneuro.0139-25.2025
Timing and Convergence of Ensemble Activity Govern Auditory Thalamocortical Transmission
Hu, C., Hasenstaub, A. R., & Schreiner, C. E. (2026) · Journal of Neuroscience · doi:10.1523/jneurosci.0273-25.2025
Ma, J., Lu, J., Guo, Q.-H., Hua, X., & Xu, J. (2026) · IntechOpen eBooks · doi:10.5772/intechopen.1014748
Spatiotemporal dynamics in neocortex : quantification, analysis, models
Muller, L. (2014) · theses.fr (ABES) · doi:10.70675/f51645eez86f0z4e55z950cz479373cf87af
The sleeping brain at work : perceptual processing and learning in human sleep Thomas Andrillon
Andrillon, T. (2016) · theses.fr (ABES) · doi:10.70675/db586b86zc952z428fza153z70690caa929f
Altwegg‐Boussac, T. (2015) · theses.fr (ABES) · doi:10.70675/b00291fezcae2z498az82e5zaf11f0672b45
Mécanismes responsables de l'activation corticale pendant le sommeil paradoxal
Renouard, L. (2011) · theses.fr (ABES) · doi:10.70675/fb03b5cez134bz4527zb76cz110ad804221c
Altered neuronal activity in the hippocampal CA3 region in an in vitro model of tauopathy
Goncalves, A. (2020) · theses.fr (ABES) · doi:10.70675/b42db6dez88a0z4a14z93eez8f51d19d46f5
Can the respiratory rhythm be a global signal promoting long-range communication in the brain?
Juventin, M. (2021) · theses.fr (ABES) · doi:10.70675/04a1c362z3796z4591zb40dz620ffbccd4cb
Responsiveness and dynamics of asynchronous states and Gamma oscillations in cerebral cortex
Susin, E. (2021) · theses.fr (ABES) · doi:10.70675/45a9917bz0609z450azbd4bz82094b558df6
Gao, T., Liu, K., Ma, W., Lou, Y., & Gao, Y. (2026) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp55912.2026.11463019
Author response: Realistic Coupling enables flexible macroscopic traveling waves in the mouse cortex
Sun, G., Hazelden, J., Kim, R., & Forger, D. B. (2026) · eLife · doi:10.7554/elife.108208.2.sa0
Realistic Coupling enables flexible macroscopic traveling waves in the mouse cortexPreprint
Sun, G., Hazelden, J., Kim, R., & Forger, D. B. (2026) · eLife · doi:10.7554/elife.108208.2
Coordinated memory trace reactivation across distributed neural ensembles in the primate neocortex
Hoffman, K. L. (2003) · UA Campus Repository (The University of Arizona)
Neuronal properties, network operations and behavioral signs during sleep states and wakefulness
Steriade, M. (2001) · Cambridge University Press eBooks · doi:10.1017/cbo9780511541711.004
Self-citationCarriers and Repositories of Thought
Klemm, W. R. (2011) · Springer eBooks · doi:10.1007/978-94-007-1097-9_4
Correlations in spontaneous activity states in the brain
Gómez, J. M. (2014) · Biblos-e Archivo (Universidad Autónoma de Madrid)
Alain Destexhe, A. (2013) · Springer eBooks · doi:10.1007/978-1-4614-1424-7_8
Metadata
- Authors
- Destexhe, A., Contreras, D., & Steriade, M.
- Affiliations
- Université Laval (CA)
- ORCID
- Contreras, Diego
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 1999-06-01
- Volume
- 19
- Issue
- 11
- Pages
- 4595-4608
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6782626
- OpenAlex
- W2146493929
- Cited by
- 573
- References
- 49
- Citations by year
- 2026: 5 · 2025: 9 · 2024: 13 · 2023: 35 · 2022: 20 · 2021: 19 · 2020: 18 · 2019: 29 · 2018: 17 · 2017: 21 · 2016: 25 · 2015: 35 · 2014: 34 · 2013: 24 · 2012: 20
- FWCI
- 7.04
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Funders
- Medical Research Council Canada
- Medical Research Council
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- local field potentials, single-unit activity, slow-wave sleep, REM sleep, wakefulness, cortical synchronization, spatiotemporal coherence, fast oscillations, cat cerebral cortex, sleep oscillations
- MeSH terms
- Animals, Brain Mapping, Cats, Cortical Synchronization, Electroencephalography, Membrane Potentials, Neurons, Oscillometry, Sleep, Wakefulness
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