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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.
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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 (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]
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“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
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“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
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“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]
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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.
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Tassinari, C. A., Cantalupo, G., Ríos‐Pohl, L., Giustina, E. D., & Rubboli, G. (2009) · Epilepsia · doi:10.1111/j.1528-1167.2009.02209.x · Cited by 147
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Vinck, M. A., Battaglia, F. P., Womelsdorf, T., & Pennartz, C. M. A. (2011) · Journal of Computational Neuroscience · doi:10.1007/s10827-011-0374-4 · Cited by 153
Pasley, B. N., Allen, E. A., & Freeman, R. D. (2009) · Neuron · doi:10.1016/j.neuron.2009.03.012 · Cited by 152
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Baker, R. H., Gent, T. C., Yang, Q., Parker, S., Vyssotski, A. L., Wisden, W., Brickley, S. G., & Franks, N. P. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.1519-14.2014 · Cited by 149
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Lachaux, J.-P., Rodríguez, E., Martinerie, J. M., Adam, C., Hasboun, D., & Varela, F. J. (2000) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2000.00163.x · Cited by 142
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Zanos, T. P., Mineault, P., Nasiotis, K., Guitton, D., & Pack, C. C. (2015) · Neuron · doi:10.1016/j.neuron.2014.12.043 · Cited by 139
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Denker, M., Roux, S., Lindén, H., Diesmann, M., Riehle, A., & Grün, S. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr040 · Cited by 140
Vyazovskiy, V. V., Faraguna, U., Cirelli, C., & Tononi, G. (2009) · Journal of Neurophysiology · doi:10.1152/jn.91157.2008 · Cited by 145
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Ito, J., Maldonado, P., Singer, W., & Grün, S. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr020 · Cited by 134
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Santhanam, G., Linderman, M. D., Gilja, V., Afshar, A., Ryu, S. I., Meng, T. H. Y., & Shenoy, K. V. (2007) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2007.895753 · Cited by 137
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Riedner, B. A., Hulse, B. K., Murphy, M. J., Ferrarelli, F., & Tononi, G. (2011) · Progress in Brain Research · doi:10.1016/b978-0-444-53839-0.00013-2 · Cited by 130
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Gao, M., Liu, C.-L., Yang, S., Jin, G.-Z., Bunney, B. S., & Shi, W.-X. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5347-06.2007 · Cited by 125
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Kayser, C., Salazar, R. F., & Peter König, B. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00195.2003 · Cited by 122
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Poulet, J. F. A., & Crochet, S. (2019) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2018.00064 · Cited by 126
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Erchova, I. A., Lebedev, M., & Diamond, M. E. (2002) · European Journal of Neuroscience · doi:10.1046/j.0953-816x.2002.01898.x · Cited by 118
Hahn, T. T. G., McFarland, J. M., Berberich, S., Sakmann, B. J., & Mehta, M. R. (2012) · Nature Neuroscience · doi:10.1038/nn.3236 · Cited by 125
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Steriade, M. (2001) · Cambridge University Press eBooks · doi:10.1017/cbo9780511541711 · Cited by 118
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de Oliveira, S. C., Gribova, A., Donchin, O., Bergman, H., & Vaadia, E. (2001) · European Journal of Neuroscience · doi:10.1046/j.0953-816x.2001.01801.x · Cited by 118
Patterns of Ongoing Activity and the Functional Architecture of the Primary Visual Cortex
Goldberg, J. A., Rokni, U., & Sompolinsky, H. (2004) · Neuron · doi:10.1016/s0896-6273(04)00197-7 · Cited by 118
Aton, S. J., Broussard, C., Dumoulin, M., Seibt, J., Watson, A., Coleman, T., & Frank, M. G. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1208093110 · Cited by 113
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Rasmussen, R. N., O’Donnell, J., Ding, F., & Nedergaard, M. (2020) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2020.101802 · Cited by 122
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Markowitz, D. A., Wong, Y. T., Gray, C. M., & Pesaran, B. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.4165-11.2011 · Cited by 110
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Lavie, P., Herer, P., & Lavie, L. (2007) · Journal of Sleep Research · doi:10.1111/j.1365-2869.2007.00578.x · Cited by 111
DeFelipe, J., Arellano, J. I., Gómez, A., Azmitia, E. C., & Muñoz, A. (2001) · The Journal of Comparative Neurology · doi:10.1002/cne.1132 · Cited by 107
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Low, P. S., Shank, S. S., B, T. J. S. A., & Margoliash, D. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0703452105 · Cited by 106
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Finger, H., Bönstrup, M., Cheng, B., Messé, A., Hilgetag, C. C., Thomalla, G., Gerloff, C. P., & Peter König, B. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005025 · Cited by 109
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Assefa, S. Z., Diaz‐Abad, M., Wickwire, E. M., & Scharf, S. M. (2015) · AIMS neuroscience · doi:10.3934/neuroscience.2015.3.155 · Cited by 126
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Maris, E., van Vugt, M. K., & Kahana, M. J. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.029 · Cited by 104
Dehghani, N., Hatsopoulos, N. G., Haga, Z. D., Parker, R., Greger, B. E., Halgren, E., Cash, S. S., & Alain Destexhe, A. (2012) · Frontiers in Physiology · doi:10.3389/fphys.2012.00302 · Cited by 96
Staba, R. J., Wilson, C. L., Bragin, A., Fried, I., & Engel, J. (2002) · Journal of Neuroscience · doi:10.1523/jneurosci.22-13-05694.2002 · Cited by 95
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Boraud, T., Brown, P., Goldberg, J. A., Graybiel, A. M., & Magill, P. J. (2006) · Kluwer Academic Publishers eBooks · doi:10.1007/0-387-28066-9_1 · Cited by 92
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Stewart, C. V., & Plenz, D. (2007) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.10.021 · Cited by 88
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Cantero, J. L., & Atienza, M. (2005) · Reviews in the Neurosciences · doi:10.1515/revneuro.2005.16.1.69 · Cited by 83
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Wisor, J. P., Rempe, M. J., Schmidt, M. A., Moore, M. E., & Clegern, W. C. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs189 · Cited by 82
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McKillop, L. E., Fisher, S. P., Cui, N., Peirson, S. N., Foster, F., Wafford, K. A., & Vyazovskiy, V. V. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.2513-17.2018 · Cited by 86
Emergence of Complex Wave Patterns in Primate Cerebral Cortex
Townsend, R. G., Solomon, S. S., Chen, S. C., Pietersen, A. N. J., Martin, P. R., Solomon, S. G., & Gong, P. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4509-14.2015 · Cited by 80
The Sleep Cycle Modelled as a Cortical Phase Transition
Steyn‐Ross, D. A., Steyn‐Ross, M. L., Sleigh, J. W., Wilson, M. T., Gillies, I. P., & Wright, J. J. (2005) · Journal of Biological Physics · doi:10.1007/s10867-005-1285-2 · Cited by 80
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Li, G., & Chung, W. (2022) · Sensors · doi:10.3390/s22031100 · Cited by 78
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Davis, Z. W., Benigno, G., Fletterman, C., Desbordes, T., Steward, C., B, T. J. S. A., Reynolds, J. H., & Muller, L. (2021) · Nature Communications · doi:10.1038/s41467-021-26175-1 · Cited by 80
Fontanini, A., & Bower, J. M. (2005) · Journal of Neurophysiology · doi:10.1152/jn.01320.2004 · Cited by 75
Electrophysiological properties of human hypothalamic hamartomas
Wu, J., Xu, L., Kim, D. Y., Rho, J. M., John, P. A. S., Lue, L., Coons, S. W., Ellsworth, K. R., Nowak, L., Johnson, E. W., et al. (2005) · Annals of Neurology · doi:10.1002/ana.20580 · Cited by 75
Running Wheel Accessibility Affects the Regional Electroencephalogram during Sleep in Mice
Vyazovskiy, V. V., Ruijgrok, G., Deboer, T., & Tobler, I. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi110 · Cited by 75
Magill, P. J., Pogosyan, A. H., Sharott, A., Csicsvari, J., Bolam, J. P., & Brown, P. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.0620-06.2006 · Cited by 75
Sorrentino, P., Rucco, R., Jacini, F., Trojsi, F., Lardone, A., Baselice, F., Femiano, C., Santangelo, G., Granata, C., Vettoliere, A., et al. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.08.001 · Cited by 76
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Lamus, C., Hämäläinen, M. S., Temereanca, S., Brown, E. N., & Purdon, P. L. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.020 · Cited by 71
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Subjective experience is probably not limited to humans: The evidence from neurobiology and behavior
Baars, B. J. (2005) · Consciousness and Cognition · doi:10.1016/j.concog.2004.11.002 · Cited by 72
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Antonakakis, M., Dimitriadis, S. I., Zervakis, M. E., Micheloyannis, S., Rezaie, R., Abbas Babajani-feremi, A., Zouridakis, G., & Papanicolaou, A. C. (2016) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2016.02.002 · Cited by 72
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Hwang, E. J., & Andersen, R. A. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/4/046005 · Cited by 70
Alexa Riehle, C., Wirtssohn, S., Grün, S., & Brochier, T. G. (2013) · Frontiers in Neural Circuits · doi:10.3389/fncir.2013.00048 · Cited by 69
Origin of intrinsic irregular firing in cortical interneurons
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Ray, S. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.09.004 · Cited by 68
Panagiotou, M., Vyazovskiy, V. V., Meijer, J. H., & Deboer, T. (2017) · Scientific Reports · doi:10.1038/srep43656 · Cited by 73
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West, T. O., Luc Berthouze, A., Halliday, D. M., Vladimir Litvak, A., Sharott, A., Magill, P. J., & Farmer, S. F. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00629.2017 · Cited by 67
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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
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