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Spatiotemporal Analysis of Local Field Potentials and Unit Discharges in Cat Cerebral Cortex during Natural Wake and Sleep States
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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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“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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“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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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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Varela, F., Lachaux, J.-P., Rodriguez, E., & Martinerie, J. (2001) · Nature Reviews Neuroscience · doi:10.1038/35067550 · Cited by 4,761
Rasch, B., & Born, J. (2013) · Physiological Reviews · doi:10.1152/physrev.00032.2012 · Cited by 2,783
“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 correBJÖRN RASCH AND JAN BORN”
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Wang, X.-J. (2010) · Physiological Reviews · doi:10.1152/physrev.00035.2008 · Cited by 1,939
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Linkenkaer-Hansen, K., Nikouline, V. V., Palva, J. M., & Ilmoniemi, R. J. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-04-01370.2001 · Cited by 1,149
“It has often been noted that spontaneously occurring synchrony in cell populations appears in an irregular manner both temporally and spatiotemporally (Traub et al., 1989; Destexhe et al., 1999; Tsodyks et al., 1999).”
BackgroundNetwork abnormalities and interneuron dysfunction in Alzheimer disease
Palop, J. J., & Mucke, L. (2016) · Nature reviews. Neuroscience · doi:10.1038/nrn.2016.141 · Cited by 1,022
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
van Kerkoerle, T., Self, M. W., Dagnino, B., Gariel-Mathis, M.-A., Poort, J., van der Togt, C., & Roelfsema, P. R. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1402773111 · Cited by 918
Endogenous electric fields may guide neocortical network activity
Fröhlich, F., & McCormick, D. A. (2010) · Neuron · doi:10.1016/j.neuron.2010.06.005 · Cited by 913
Harris, K. D., & Thiele, A. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn3084 · Cited by 915
Modelling and analysis of local field potentials for studying the function of cortical circuits
Einevoll, G. T., Kayser, C., Logothetis, N. K., & Panzeri, S. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3599 · Cited by 857
Arousal and Locomotion Make Distinct Contributions to Cortical Activity Patterns and Visual Encoding
Vinck, M., Batista-Brito, R., Knoblich, U., & Cardin, J. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.03.028 · Cited by 819
Waking state: rapid variations modulate neural and behavioral responses
McGinley, M. J., Vinck, M., Reimer, J., Batista-Brito, R., Zagha, E., Cadwell, C. R., Tolias, A. S., Cardin, J. A., & McCormick, D. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.012 · Cited by 801
“…in spontaneous activity, the ability to execute motor commands, responses to sensory stimuli and the fidelity of internal representations of the world (Destexhe et al., 1999; Esser et al., 2009; Hennevin et al., 2007; Livingstone and Hubel, 1981; Massimini et al., 2005; Steriade et al., 2001).”
Cortical firing and sleep homeostasis
Vyazovskiy, V. V., Olcese, U., Lazimy, Y. M., Faraguna, U., Esser, S. K., Williams, J. C., Cirelli, C., & Tononi, G. (2009) · Neuron · doi:10.1016/j.neuron.2009.08.024 · Cited by 740
Revealing neuronal function through microelectrode array recordings
Obien, M. E. J., Deligkaris, K., Bullmann, T., Bakkum, D. J., & Frey, U. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00423 · Cited by 705
Linking Spontaneous Activity of Single Cortical Neurons and the Underlying Functional Architecture
Tsodyks, M. V., Kenet, T., Grinvald, A., & Arieli, A. (1999) · Science · doi:10.1126/science.286.5446.1943 · Cited by 715
Hasenstaub, A. R., Shu, Y., Haider, B., Kraushaar, U., Duque, A., & McCormick, D. A. (2005) · Neuron · doi:10.1016/j.neuron.2005.06.016 · Cited by 666
Grouping of spindle activity during slow oscillations in human non-rapid eye movement sleep
Mölle, M., Marshall, L., Gais, S., & Born, J. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-24-10941.2002 · Cited by 617
Dreaming and the brain: from phenomenology to neurophysiology
Nir, Y., & Tononi, G. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.12.001 · Cited by 595
Mölle, M., Bergmann, T. O., Marshall, L., & Born, J. (2011) · Sleep · doi:10.5665/sleep.1290 · Cited by 557
Born, J., Rasch, B., & Gais, S. (2006) · The Neuroscientist · doi:10.1177/1073858406292647 · Cited by 557
Rhythmic and dysrhythmic thalamocortical dynamics: GABA systems and the edge effect
Llinás, R., Urbano, F. J., Leznik, E., Ramírez, R. R., & van Marle, H. J. F. (2005) · Trends in Neurosciences · doi:10.1016/j.tins.2005.04.006 · Cited by 549
Compte, A., Sanchez-Vives, M. V., McCormick, D. A., & Wang, X. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00845.2002 · Cited by 536
Antal, A., Boros, K., Poreisz, C., Chaieb, L., Terney, D., & Paulus, W. (2007) · Brain stimulation · doi:10.1016/j.brs.2007.10.001 · Cited by 534
Isomura, Y., Sirota, A., Özen, S., Montgomery, S., Mizuseki, K., Henze, D. A., & Buzsáki, G. (2006) · Neuron · doi:10.1016/j.neuron.2006.10.023 · Cited by 500
Triggering sleep slow waves by transcranial magnetic stimulation
Massimini, M., Ferrarelli, F., Esser, S. K., Riedner, B. A., Huber, R., Murphy, M., Peterson, M. J., & Tononi, G. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0702495104 · Cited by 489
Why do we sleep?11Published on the World Wide Web on 7 November 2000.
Sejnowski, T. J., & Destexhe, A. (2000) · Brain Research · doi:10.1016/s0006-8993(00)03007-9 · Cited by 489
EEG-based drowsiness estimation for safety driving using independent component analysis
Lin, C., Wu, R.-C., Liang, S., Chao, W.-H., Chen, Y., & Jung, T. (2005) · IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications · doi:10.1109/tcsi.2005.857555 · Cited by 472
Intrinsic Coupling Modes: Multiscale Interactions in Ongoing Brain Activity
Engel, A. K., Gerloff, C., Hilgetag, C. C., & Nolte, G. (2013) · Neuron · doi:10.1016/j.neuron.2013.09.038 · Cited by 471
Magill, P. J., Bolam, J. P., & Bevan, M. D. (2001) · Neuroscience · doi:10.1016/s0306-4522(01)00281-0 · Cited by 463
Source modeling sleep slow waves
Murphy, M., Riedner, B. A., Huber, R., Massimini, M., Ferrarelli, F., & Tononi, G. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0807933106 · Cited by 454
In Vivo Measurement of Cortical Impedance Spectrum in Monkeys: Implications for Signal Propagation
Logothetis, N. K., Kayser, C., & Oeltermann, A. (2007) · Neuron · doi:10.1016/j.neuron.2007.07.027 · Cited by 447
Modeling the Spatial Reach of the LFP
Lindén, H., Tetzlaff, T., Potjans, T. C., Pettersen, K. H., Grün, S., Diesmann, M., & Einevoll, G. T. (2011) · Neuron · doi:10.1016/j.neuron.2011.11.006 · Cited by 457
Rapid Neocortical Dynamics: Cellular and Network Mechanisms
Haider, B., & McCormick, D. A. (2009) · Neuron · doi:10.1016/j.neuron.2009.04.008 · Cited by 441
Sleep function: Toward elucidating an enigma
Krueger, J. M., Frank, M. G., Wisor, J. P., & Roy, S. (2016) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2015.08.005 · Cited by 440
The slow (<1 Hz) rhythm of non-REM sleep: a dialogue between three cardinal oscillators
Crunelli, V., & Hughes, S. W. (2010) · Nature Neuroscience · doi:10.1038/nn.2445 · Cited by 435
Pattern-Specific Associative Long-Term Potentiation Induced by a Sleep Spindle-Related Spike Train
Rosanova, M., & Ulrich, D. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2149-05.2005 · Cited by 413
Temporal coupling of parahippocampal ripples, sleep spindles and slow oscillations in humans
Clemens, Z., Molle, M., Eross, L., Barsi, P., Halasz, P., & Born, J. (2007) · Brain · doi:10.1093/brain/awm146 · Cited by 398
Differential entropy feature for EEG-based vigilance estimation
Shi, L.-C., Jiao, Y.-Y., & Lu, B.-L. (2013) · 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2013.6611075 · Cited by 396
Does the 1 / f Frequency Scaling of Brain Signals Reflect Self-Organized Critical States?
Bédard, C., Kröger, H., & Alain Destexhe, A. (2006) · Physical Review Letters · doi:10.1103/physrevlett.97.118102 · Cited by 391
Sleep and the single neuron: the role of global slow oscillations in individual cell rest
Vyazovskiy, V. V., & Harris, K. D. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3494 · Cited by 386
The restorative effect of naps on perceptual deterioration
Mednick, S. C., Nakayama, K., Cantero, J. L., Atienza, M., Levin, A. A., Pathak, N., & Stickgold, R. (2002) · Nature Neuroscience · doi:10.1038/nn864 · Cited by 360
Are corticothalamic ‘up’ states fragments of wakefulness?
Destexhe, A., Hughes, S. W., Rudolph, M., & Crunelli, V. (2007) · Trends in Neurosciences · doi:10.1016/j.tins.2007.04.006 · Cited by 355
Courtemanche, R., Fujii, N., & Graybiel, A. M. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-37-11741.2003 · Cited by 339
Hippocampal Sharp Wave-Ripples Linked to Slow Oscillations in Rat Slow-Wave Sleep
Mölle, M., Yeshenko, O., Marshall, L., Sara, S. J., & Born, J. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00014.2006 · Cited by 337
Dehaene, S., & Changeux, J.-P. (2005) · PLoS Biology · doi:10.1371/journal.pbio.0030141 · Cited by 329
Gireesh, E. D., & Plenz, D. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0800537105 · Cited by 332
Mechanisms underlying gain modulation in the cortex
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Mölle, M., Eschenko, O., Gais, S., Sara, S. J., & Born, J. (2009) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2009.06654.x · Cited by 322
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Ma, Y., Shaik, M. A., Kozberg, M. G., Kim, S. H., Portes, J., Timerman, D., & Hillman, E. M. C. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1525369113 · Cited by 325
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Slow oscillations orchestrating fast oscillations and memory consolidation
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Interaction between neocortical and hippocampal networks via slow oscillations
Sirota, A., & Buzsáki, G. (2005) · Thalamus and Related Systems · doi:10.1017/s1472928807000258 · Cited by 270
Origin of Active States in Local Neocortical Networks during Slow Sleep Oscillation
Chauvette, S., Volgushev, M., & Timofeev, I. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhq009 · Cited by 266
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Li, C.-Y. T., Poo, M., & Dan, Y. (2009) · Science · doi:10.1126/science.1169957 · Cited by 266
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Cellular and molecular connections between sleep and synaptic plasticity
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Fractals in the nervous system: conceptual implications for theoretical neuroscience
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Enhancement of sleep slow waves: underlying mechanisms and practical consequences
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Hurtado, J. M., Rubchinsky, L. L., & Sigvardt, K. A. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00853.2003 · Cited by 236
Bagshaw, A. P., Jacobs, J., LeVan, P., Dubeau, F., & Gotman, J. (2008) · Epilepsia · doi:10.1111/j.1528-1167.2008.01784.x · Cited by 230
Okun, M., Naim, A., & Lampl, I. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.5062-09.2010 · Cited by 241
Vyazovskiy, V. V., Riedner, B. A., Cirelli, C., & Tononi, G. (2007) · SLEEP · doi:10.1093/sleep/30.12.1631 · Cited by 225
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Goldberg, J. A., Rokni, U., Boraud, T., Vaadia, E., & Bergman, H. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.4848-03.2004 · Cited by 211
Muller, L., Piantoni, G., Koller, D. P., Cash, S. S., Halgren, E., & B, T. J. S. A. (2016) · eLife · doi:10.7554/elife.17267 · Cited by 215
Spatiotemporal dynamics of neocortical excitation and inhibition during human sleep
Peyrache, A., Dehghani, N., Eskandar, E. N., Madsen, J. R., Anderson, W. S., Donoghue, J., Hochberg, L. R., Halgren, E., Cash, S. S., & Alain Destexhe, A. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1109895109 · Cited by 220
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Nelken, I., & Ulanovsky, N. (2007) · Journal of Psychophysiology · doi:10.1027/0269-8803.21.34.214 · Cited by 214
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Ffytche, D. H. (2008) · Cortex · doi:10.1016/j.cortex.2008.04.005 · Cited by 206
Bistability breaks-off deterministic responses to intracortical stimulation during non-REM sleep
Pigorini, A., Sarasso, S., Proserpio, P., Szymanski, C., Arnulfo, G., Casarotto, S., Fecchio, M., Rosanova, M., Mariotti, M., Lo Russo, G., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.056 · Cited by 200
Geisler, C. E., Brunel, N., & Wang, X. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00510.2004 · Cited by 196
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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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