The DOI matches its Crossref record; 95 of the 96 references it cites were found in a registry or an index.
Laminar analysis of slow wave activity in humans
Open accessAbstract
Brain electrical activity is largely composed of oscillations at characteristic frequencies. These rhythms are hierarchically organized and are thought to perform important pathological and physiological functions. The slow wave is a fundamental cortical rhythm that emerges in deep non-rapid eye movement sleep. In animals, the slow wave modulates delta, theta, spindle, alpha, beta, gamma and ripple oscillations, thus orchestrating brain electrical rhythms in sleep. While slow wave activity can enhance epileptic manifestations, it is also thought to underlie essential restorative processes and facilitate the consolidation of declarative memories. Animal studies show that slow wave activity is composed of rhythmically recurring phases of widespread, increased cortical cellular and synaptic activity, referred to as active- or up-state, followed by cellular and synaptic inactivation, referred to as silent- or down-state. However, its neural mechanisms in humans are poorly understood, since the traditional intracellular techniques used in animals are inappropriate for investigating the cellular and synaptic/transmembrane events in humans. To elucidate the intracortical neuronal mechanisms of slow wave activity in humans, novel, laminar multichannel microelectrodes were chronically implanted into the cortex of patients with drug-resistant focal epilepsy undergoing cortical mapping for seizure focus localization. Intracortical laminar local field potential gradient, multiple-unit and single-unit activities were recorded during slow wave sleep, related to simultaneous electrocorticography, and analysed with current source density and spectral methods. We found that slow wave activity in humans reflects a rhythmic oscillation between widespread cortical activation and silence. Cortical activation was demonstrated as increased wideband (0.3-200 Hz) spectral power including virtually all bands of cortical oscillations, increased multiple- and single-unit activity and powerful inward transmembrane currents, mainly localized to the supragranular layers. Neuronal firing in the up-state was sparse and the average discharge rate of single cells was less than expected from animal studies. Action potentials at up-state onset were synchronized within +/-10 ms across all cortical layers, suggesting that any layer could initiate firing at up-state onset. These findings provide strong direct experimental evidence that slow wave activity in humans is characterized by hyperpolarizing currents associated with suppressed cell firing, alternating with high levels of oscillatory synaptic/transmembrane activity associated with increased cell firing. Our results emphasize the major involvement of supragranular layers in the genesis of slow wave activity.
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 cited source says what the claim attributes to it.
In the citing paper
“At the neocortical level, the slow oscillation in terms of EEG rhythms strongly modulates the amplitude of faster beta and gamma frequencies which is reduced to a minimum during the hyperpolarizing down-phase of the slow oscillation (224,240,828,829).”
From About Sleep's Role in Memory (2013) · cites this paper as [240]
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
Delorme, A., & Makeig, S. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2003.10.009 · Cited by 24,371
Neuronal Oscillations in Cortical Networks
Buzsáki, G., & Draguhn, A. (2004) · Science · doi:10.1126/science.1099745 · Cited by 6,576
(2007) · Cited by 6,530
Über das Elektrenkephalogramm des Menschen
Berger, H. (1929) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/bf01797193 · Cited by 4,266
Steriade, M., Nunez, A., & Amzica, F. (1993) · The Journal of Neuroscience · doi:10.1523/jneurosci.13-08-03252.1993 · Cited by 1,903
Huber, R., Felice Ghilardi, M., Massimini, M., & Tononi, G. (2004) · Nature · doi:10.1038/nature02663 · Cited by 1,854
Boosting slow oscillations during sleep potentiates memory
Marshall, L., Helgadóttir, H., Mölle, M., & Born, J. (2006) · Nature · doi:10.1038/nature05278 · Cited by 1,792
Entrainment of Neuronal Oscillations as a Mechanism of Attentional Selection
Lakatos, P., Karmos, G., Mehta, A. D., Ulbert, I., & Schroeder, C. E. (2008) · Science · doi:10.1126/science.1154735 · Cited by 1,719
Self-citationWhittington, M. A., Traub, R. D., & Jefferys, J. G. R. (1995) · Nature · doi:10.1038/373612a0 · Cited by 1,613
Cellular and network mechanisms of rhythmic recurrent activity in neocortex
Sanchez-Vives, M. V., & McCormick, D. A. (2000) · Nature Neuroscience · doi:10.1038/79848 · Cited by 1,539
Cited by
Sorted by citations
Rasch, B., & Born, J. (2013) · Physiological Reviews · doi:10.1152/physrev.00032.2012 · Cited by 2,783
“At the neocortical level, the slow oscillation in terms of EEG rhythms strongly modulates the amplitude of faster beta and gamma frequencies which is reduced to a minimum during the hyperpolarizing down-phase of the slow oscillation (224, 240, 828, 829).”
BackgroundRegional 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
Scaling Brain Size, Keeping Timing: Evolutionary Preservation of Brain Rhythms
Buzsáki, G., Logothetis, N., & Singer, W. (2013) · Neuron · doi:10.1016/j.neuron.2013.10.002 · Cited by 886
Electroencephalogram signatures of loss and recovery of consciousness from propofol
Purdon, P. L., Pierce, E. T., Mukamel, E. A., Prerau, M. J., Walsh, J. L., Wong, K. F. K., Salazar-Gomez, A. F., Harrell, P. G., Sampson, A. L., Cimenser, A., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1221180110 · Cited by 854
Lachaux, J.-P., Axmacher, N., Mormann, F., Halgren, E., & Crone, N. E. (2012) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2012.06.008 · Cited by 535
Self-citationThe generation and propagation of the human alpha rhythm
Halgren, M., Ulbert, I., Bastuji, H., Fabó, D., Erőss, L., Rey, M. F., Devinsky, O., Doyle, W., Mak-McCully, R. A., Halgren, E., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1913092116 · Cited by 418
Self-citationRapid fragmentation of neuronal networks at the onset of propofol-induced unconsciousness
Lewis, L. D., Weiner, V. S., Mukamel, E. A., Donoghue, J., Eskandar, E. N., Madsen, J. R., Anderson, W. S., Hochberg, L. R., Cash, S. S., Brown, E. N., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1210907109 · Cited by 387
Self-citationA neurophysiological–metabolic model for burst suppression
Ching, S., Purdon, P. L., Vijayan, S., Kopell, N., & Brown, E. N. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1121461109 · Cited by 300
Oscillating circuitries in the sleeping brain
Adamantidis, A. R., Gutierrez Herrera, C., & Gent, T. C. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0223-4 · Cited by 281
Slow oscillations orchestrating fast oscillations and memory consolidation
Mölle, M., & Born, J. (2011) · Progress in Brain Research · doi:10.1016/b978-0-444-53839-0.00007-7 · Cited by 270
Sleep slow wave changes during the middle years of life: Changes in slow waves with age
Carrier, J., Viens, I., Poirier, G., Robillard, R., Lafortune, M., Vandewalle, G., Martin, N., Barakat, M., Paquet, J., & Filipini, D. (2011) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2010.07543.x · Cited by 269
Sleep for Preserving and Transforming Episodic Memory
Inostroza, M., & Jan Born, A. (2013) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062012-170429 · Cited by 279
Mapping human brain networks with cortico-cortical evoked potentials
Keller, C. J., Honey, C. J., Mégevand, P., Entz, L., Ulbert, I., & Mehta, A. D. (2014) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2013.0528 · Cited by 257
Self-citationAdvances in human intracranial electroencephalography research, guidelines and good practices
Mercier, M. R., Dubarry, A., Tadel, F., Avanzini, P., Axmacher, N., Cellier, D., Vecchio, M. D., Hamilton, L. S., Hermes, D., Kahana, M. J., et al. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119438 · Cited by 254
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
Self-citationBistability 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
Brain state dependent activity in the cortex and thalamus
McCormick, D. A., McGinley, M. J., & Salkoff, D. B. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.10.003 · Cited by 198
The Impact of Cortical Deafferentation on the Neocortical Slow Oscillation
Lemieux, M., Chen, J., Lonjers, P., Bazhenov, M., & Timofeev, I. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.1156-13.2014 · Cited by 182
Astrocytes convert network excitation to tonic inhibition of neurons
Héja, L., Nyitrai, G., Kékesi, O., Dobolyi, Á., Szabó, P. T., Fiáth, R., Ulbert, I., Pal-Szenthe, B., Palkovits, M., & Kardos, J. (2012) · BMC Biology · doi:10.1186/1741-7007-10-26 · Cited by 182
Self-citationThe thalamocortical network as a single slow wave-generating unit
Crunelli, V., David, F., Lörincz, M. L., & Hughes, S. W. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.09.001 · Cited by 171
First-Pass Selectivity for Semantic Categories in Human Anteroventral Temporal Lobe
Chan, A. M., Baker, J. M., Eskandar, E. N., Schomer, D. L., Ulbert, I., Marinković, K., Cash, S. S., & Halgren, E. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.3122-11.2011 · Cited by 153
Self-citationCoordination of cortical and thalamic activity during non-REM sleep in humans
Mak-McCully, R. A., Rolland, M., Sargsyan, A., Gonzalez, C. E., Magnin, M., Chauvel, P., Rey, M. F., Bastuji, H., & Halgren, E. (2017) · Nature Communications · doi:10.1038/ncomms15499 · Cited by 154
Self-citationCortical gamma oscillations: the functional key is activation, not cognition
Merker, B. H. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.01.013 · Cited by 136
Nagasawa, T., Juhász, C., Rothermel, R., Hoechstetter, K., Sood, S., & Asano, E. (2011) · Human Brain Mapping · doi:10.1002/hbm.21233 · Cited by 129
Slow and fast rhythms generated in the cerebral cortex of the anesthetized mouse
Ruiz-Mejías, M., Ciria‐Suarez, L., Mattia, M., & Sanchez-Vives, M. V. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00440.2011 · Cited by 126
NREM Sleep Oscillations and Brain Plasticity in Aging
Fogel, S. M., Martin, N. G., Lafortune, M., Barakat, M., Debas, K., Laventure, S., Latreille, V., Gagnon, J., Doyon, J., & Carrier, J. (2012) · Frontiers in Neurology · doi:10.3389/fneur.2012.00176 · Cited by 134
Impact of Transcranial Direct Current Stimulation (tDCS) on Neuronal Functions
Das, S., Holland, P. J., Frens, M. A., & Donchin, O. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00550 · Cited by 135
Hippocampal memory consolidation during sleep: a comparison of mammals and birds
Rattenborg, N. C., Martínez-González, D., Roth, T. C., & Витальевич, П. В. (2010) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/j.1469-185x.2010.00165.x · Cited by 128
Slow Wave Sleep Is a Promising Intervention Target for Alzheimer’s Disease
Lee, Y. F., Gerashchenko, D., Timofeev, I., Bacskai, B. J., & Kastanenka, K. V. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00705 · Cited by 127
Sleep–Wake Cycle in Young and Older Mice
Soltani, S., Chauvette, S., Bukhtiyarova, O., Lina, J., Dubé, J., Seigneur, J., Carrier, J., & Timofeev, I. (2019) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2019.00051 · Cited by 121
A Neocortical Delta Rhythm Facilitates Reciprocal Interlaminar Interactions via Nested Theta Rhythms
Carracedo, L. M., Kjeldsen, H., Cunnington, L. G., Jenkins, A., Schofield, I. S., Cunningham, M. O., Davies, C. H., Traub, R. D., & Whittington, M. A. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.0735-13.2013 · Cited by 114
Cortical Connections Position Primate Area 25 as a Keystone for Interoception, Emotion, and Memory
Joyce, M. K. P., & Barbas, H. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.2363-17.2017 · Cited by 114
Halász, P., Bódizs, R., Parrino, L., & Terzano, M. G. (2014) · Sleep Medicine · doi:10.1016/j.sleep.2014.06.006 · Cited by 109
Self-citationInfragranular sources of sustained local field potential responses in macaque primary visual cortex
Maier, A., Aura, C. J., & Leopold, D. A. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.5300-09.2011 · Cited by 99
Phase and amplitude correlations in resting-state activity in human stereotactical EEG recordings
Arnulfo, G., Hirvonen, J., Nobili, L., Palva, S., & Palva, J. M. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.031 · Cited by 93
Lechinger, J., Heib, D. P. J., Gruber, W. R., Schabus, M., & Klimesch, W. (2015) · Psychophysiology · doi:10.1111/psyp.12508 · Cited by 95
Evoked effective connectivity of the human neocortex
Entz, L., Tóth, E., Keller, C. J., Bickel, S., Groppe, D. M., Fabó, D., Kozák, L. R., Erőss, L., Ulbert, I., & Mehta, A. D. (2014) · Human Brain Mapping · doi:10.1002/hbm.22581 · Cited by 87
Self-citationTop-down control of arousal and sleep: Fundamentals and clinical implications
Krone, L. B., Frase, L., Piosczyk, H., Selhausen, P., Zittel, S., Jahn, F., Kühn, M., Feige, B., Mainberger, F., Klöppel, S., et al. (2016) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2015.12.005 · Cited by 96
Cortical layers, rhythms and BOLD signals
Scheeringa, R., & Fries, P. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2017.11.002 · Cited by 88
Circadian regulation of slow waves in human sleep: Topographical aspects
Lázár, A. S., Lázár, Z. I., & Dijk, D. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.05.012 · Cited by 94
The Emergence of Single Neurons in Clinical Neurology
Cash, S. S., & Hochberg, L. R. (2015) · Neuron · doi:10.1016/j.neuron.2015.03.058 · Cited by 87
Self-citationSpatio-temporal properties of sleep slow waves and implications for development
Timofeev, I., Schoch, S. F., LeBourgeois, M. K., Huber, R., Riedner, B. A., & Kurth, S. (2020) · Current Opinion in Physiology · doi:10.1016/j.cophys.2020.01.007 · Cited by 83
Slow wave activity as the default mode of the cerebral cortex
Sanchez-Vives, M. V. (2015) · ARCHIVES ITALIENNES DE BIOLOGIE · doi:10.12871/000298292014239 · Cited by 88
Slow Waves Promote Sleep-Dependent Plasticity and Functional Recovery after Stroke
Facchin, L., Schöne, C., Mensen, A., Bandarabadi, M., Pilotto, F., Saxena, S., Libourel, P., Bassetti, C. L., & Adamantidis, A. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.0373-20.2020 · Cited by 79
Jiang, X., Gonzalez-Martinez, J. A., & Halgren, E. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.2857-18.2019 · Cited by 76
Self-citationSpatiotemporal characteristics of sleep spindles depend on cortical location
Piantoni, G., Halgren, E., & Cash, S. S. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.010 · Cited by 70
Self-citationFocal lesions induce large-scale percolation of sleep-like intracerebral activity in awake humans
Russo, S., Pigorini, A., Mikulan, E., Sarasso, S., Rubino, A., Zauli, F. M., Parmigiani, S., d’Orio, P., Cattani, A., Francione, S., et al. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117964 · Cited by 64
How Sleep Activates Epileptic Networks?
Halász, P. (2013) · Epilepsy Research and Treatment · doi:10.1155/2013/425697 · Cited by 66
Self-citationTheta Bursts Precede, and Spindles Follow, Cortical and Thalamic Downstates in Human NREM Sleep
Gonzalez, C. E., Mak-McCully, R. A., Rosen, B. Q., Cash, S. S., Chauvel, P., Bastuji, H., Rey, M. F., & Halgren, E. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0476-18.2018 · Cited by 66
Self-citationClinical significance and developmental changes of auditory-language-related gamma activity
Kojima, K., Brown, E. C., Rothermel, R., Carlson, A., Fuerst, D. R., Matsuzaki, N., Shah, A. K., Atkinson, M. D., Basha, M. M., Mittal, S., et al. (2012) · Clinical Neurophysiology · doi:10.1016/j.clinph.2012.09.031 · Cited by 65
In Vitro Recordings of Human Neocortical Oscillations
Florez, C. M., McGinn, R. J., Lukankin, V., Marwa, I., Sugumar, S., Dian, J. A., Hazrati, L., Carlen, P. L., Zhang, L., & Valiante, T. A. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht235 · Cited by 62
Characterization of Topographically Specific Sleep Spindles in Mice
Kim, D., Hwang, E., Lee, M., Sung, H., & Choi, J. H. (2014) · SLEEP · doi:10.5665/sleep.4330 · Cited by 61
Nir, Y., Massimini, M., Boly, M., & Tononi, G. (2013) · Springer eBooks · doi:10.1007/978-3-642-37580-4_9 · Cited by 63
Superficial slow rhythms integrate cortical processing in humans
Halgren, M., Fabó, D., Ulbert, I., Madsen, J. R., Erőss, L., Doyle, W. K., Devinsky, O., Schomer, D., Cash, S. S., & Halgren, E. (2018) · Scientific Reports · doi:10.1038/s41598-018-20662-0 · Cited by 59
Self-citationHeterogeneous Origins of Human Sleep Spindles in Different Cortical Layers
Hagler, D. J., Ulbert, I., Wittner, L., Erőss, L., Madsen, J. R., Devinsky, O., Doyle, W., Fabó, D., Cash, S. S., & Halgren, E. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.2241-17.2018 · Cited by 58
Self-citationCortical Ripples during NREM Sleep and Waking in Humans
Dickey, C. W., Verzhbinsky, I. A., Jiang, X., Rosen, B. Q., Kajfez, S., Eskandar, E. N., Gonzalez-Martinez, J. A., Cash, S. S., & Halgren, E. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.0742-22.2022 · Cited by 55
Self-citationJiang, X., González-Martínez, J., & Halgren, E. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.2858-18.2019 · Cited by 59
Self-citationPothof, F., Bonini, L., Lanzilotto, M., Livi, A., Fogassi, L., Orban, G. A., Paul, O., & Ruther, P. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/4/046006 · Cited by 56
Thalamocortical Oscillations: Local Control of EEG Slow Waves
Timofeev, I., & Chauvette, S. (2011) · Current Topics in Medicinal Chemistry · doi:10.2174/156802611797470376 · Cited by 55
Mapping Slow Waves by EEG Topography and Source Localization: Effects of Sleep Deprivation
Bersagliere, A., Pascual-Marqui, R. D., Tarokh, L., & Achermann, P. (2017) · Brain Topography · doi:10.1007/s10548-017-0595-6 · Cited by 54
Origin and dynamics of cortical slow oscillations
Sanchez-Vives, M. V. (2020) · Current Opinion in Physiology · doi:10.1016/j.cophys.2020.04.005 · Cited by 57
Pelkonen, A., Pistono, C., Klecki, P., Gómez‐Budia, M., Dougalis, A., Konttinen, H., Stanová, I., Fagerlund, I., Leinonen, V., Korhonen, P., et al. (2021) · Cells · doi:10.3390/cells11010106 · Cited by 54
Jiang, X., Shamie, I., Doyle, W., Friedman, D. J., Dugan, P. C., Devinsky, O., Eskandar, E. N., Cash, S. S., Thesen, T., & Halgren, E. (2017) · Scientific Reports · doi:10.1038/s41598-017-17469-w · Cited by 61
Self-citationThe Mutual Interaction Between Sleep and Epilepsy on the Neurobiological Basis and Therapy
Wang, Y., Zhang, M., Li, R., Qu, W., & Huang, Z. (2017) · Current Neuropharmacology · doi:10.2174/1570159x15666170509101237 · Cited by 52
NMDA-receptor antibodies alter cortical microcircuit dynamics
Rosch, R. E., Wright, S. K., Cooray, G., Papadopoulou, M., Goyal, S., Lim, M. J., Vincent, A. C., Upton, A. L., Baldeweg, T., & Friston, K. J. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1804846115 · Cited by 48
Clinical Electroencephalography
Lüders, H. O., Noachtar, S., & Rémi, J. (2024) · doi:10.1093/med/9780197502334.003.0003 · Cited by 51
Wake slow waves in focal human epilepsy impact network activity and cognition
Sheybani, L., Vivekananda, U., Rodionov, R., Diehl, B., Chowdhury, F. A., McEvoy, A. W., Miserocchi, A., Bisby, J. A., Bush, D., Burgess, N., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-42971-3 · Cited by 51
Global and Parallel Cortical Processing Based on Auditory Gamma Oscillatory Responses in Humans
Tada, M., Kirihara, K., Ishishita, Y., Takasago, M., Kunii, N., Uka, T., Shimada, S., Ibayashi, K., Kawai, K., Saito, N., et al. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab103 · Cited by 52
Seidl, K., Schwaerzle, M., Ulbert, I., Neves, H. P., Paul, O., & Ruther, P. (2012) · Journal of Microelectromechanical Systems · doi:10.1109/jmems.2012.2206564 · Cited by 47
Self-citationLaminar analysis of the slow wave activity in the somatosensory cortex of anesthetized rats
Fiáth, R., Kerekes, B. P., Wittner, L., Tóth, K., Beregszászi, P., Horváth, D., & Ulbert, I. (2016) · European Journal of Neuroscience · doi:10.1111/ejn.13274 · Cited by 48
Self-citationMatsuzaki, N., Juhász, C., & Asano, E. (2013) · Clinical Neurophysiology · doi:10.1016/j.clinph.2013.02.007 · Cited by 47
Mak-McCully, R. A., Deiss, S. R., Rosen, B. Q., Jung, K.-Y., B, T. J. S. A., Bastuji, H., Rey, M. F., Cash, S. S., Bazhenov, M., & Halgren, E. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003855 · Cited by 47
Self-citationComplex Propagation Patterns Characterize Human Cortical Activity during Slow-Wave Sleep
Hangya, B., Tihanyi, B. T., Entz, L., Fabó, D., ErFss, L., Wittner, L., Jakus, R., Varga, V., Freund, T. F., & Ulbert, I. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.1498-11.2011 · Cited by 46
Self-citationBinder, S., Rawohl, J., Jan Born, A., & Marshall, L. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2013.00220 · Cited by 50
Mukamel, E. A., Wong, K. F. K., Prerau, M. J., Brown, E. N., & Purdon, P. L. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2011.6090558 · Cited by 42
Marshall, L., & Binder, S. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00614 · Cited by 42
Large-Scale Cortical Dynamics of Sleep Slow Waves
Botella‐Soler, V., Valderrama, M., Crépon, B., Navarro, V., & Quyen, M. L. V. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030757 · Cited by 42
The neural tissue around SU-8 implants: A quantitative in vivo biocompatibility study
Márton, G., Tóth, E. Z., Wittner, L., Fiáth, R., Pinke, D., Orbán, G., Meszéna, D., Pál, I., Győri, E. L., Bereczki, Z., et al. (2020) · Materials Science and Engineering C · doi:10.1016/j.msec.2020.110870 · Cited by 44
Self-citationAge dependency of trauma-induced neocortical epileptogenesis
Timofeev, I., B, T. J. S. A., Bazhenov, M., Chauvette, S., & Grand, L. (2013) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2013.00154 · Cited by 39
Self-citationGrouping of MEG gamma oscillations by EEG sleep spindles
Ayoub, A., Mölle, M., Preissl, H., & Born, J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.023 · Cited by 39
Slow Oscillation Amplitudes and Up-State Lengths Relate to Memory Improvement
Heib, D. P. J., Hoedlmoser, K., Anderer, P., Zeitlhofer, J., Gruber, G., Klimesch, W., & Schabus, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0082049 · Cited by 48
Modulation of gamma and spindle-range power by slow oscillations in scalp sleep EEG of children
Piantoni, G., Astill, R. G., Raymann, R., Vis, J. C., Coppens, J. E., & Someren, E. J. W. V. (2013) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2013.01.017 · Cited by 40
Arbour, C., Khoury, S., Lavigne, G. J., Gagnon, K., Poirier, G., Montplaisir, J. Y., Carrier, J., & Gosselin, N. (2015) · Sleep Medicine · doi:10.1016/j.sleep.2014.12.002 · Cited by 41
Individual slow-wave morphology is a marker of aging
Ujma, P. P., Simor, P., Steiger, A., Dresler, M., & Bódizs, R. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.04.002 · Cited by 36
Pathway mechanism for excitatory and inhibitory control in working memory
Barbas, H., Wang, J., Joyce, M. K. P., & García‐Cabezas, M. Á. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00936.2017 · Cited by 38
Sakakura, K., Kuroda, N., Sonoda, M., Mitsuhashi, T., Firestone, E., Luat, A. F., Marupudi, N. I., Sood, S., & Asano, E. (2023) · Nature Communications · doi:10.1038/s41467-023-42091-y · Cited by 38
A Multimodal, SU-8 - Platinum - Polyimide Microelectrode Array for Chronic In Vivo Neurophysiology
Márton, G., Orbán, G., Kiss, M., Fiáth, R., Pongracz, A., & Ulbert, I. (2015) · PLoS ONE · doi:10.1371/journal.pone.0145307 · Cited by 38
Self-citationMak-McCully, R. A., Rosen, B. Q., Rolland, M., Régis, J. M., Bartoloméi, F., Rey, M. F., Chauvel, P., Cash, S. S., & Halgren, E. (2015) · eNeuro · doi:10.1523/eneuro.0028-15.2015 · Cited by 34
Self-citationBazhenov, M., Lonjers, P., Skorheim, S. W., Bedard, C., & Alain Destexhe, A. (2011) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2011.0119 · Cited by 39
Correlating Interictal Spikes with Sigma and Delta Dynamics during Non-Rapid-Eye-Movement-Sleep
Zubler, F., Rubino, A., Russo, G. L., Schindler, K. A., & Nobili, L. (2017) · Frontiers in Neurology · doi:10.3389/fneur.2017.00288 · Cited by 35
Reduced Slow-Wave Rebound during Daytime Recovery Sleep in Middle-Aged Subjects
Lafortune, M., Gagnon, J., Latreille, V., Vandewalle, G., Martin, N. G., Filipini, D., Doyon, J., & Carrier, J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0043224 · Cited by 34
Behavioral state classification in epileptic brain using intracranial electrophysiology
Křemen, V., Duque, J. J., Brinkmann, B. H., Berry, B. M., Kucewicz, M. T., Khadjevand, F., Gompel, J. J. V., Stead, M., Louis, E. K. S., & Worrell, G. A. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa5688 · Cited by 34
Horvath, A. A., Csernus, E. A., Lality, S., Kaminski, R. M., & Kamondi, A. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.557416 · Cited by 32
A novel multisite silicon probe for high quality laminar neural recordings
Grand, L., Pongracz, A., Vázsonyi, É. B., Márton, G., Gubán, D., Fiáth, R., Kerekes, B. P., Karmos, G., Ulbert, I., & Battistig, G. (2010) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2010.12.019 · Cited by 30
Self-citationFunctional connectivity dynamics slow with descent from wakefulness to sleep
El-Baba, M., Lewis, D. J., Fang, Z., Owen, A. M., Fogel, S. M., & Morton, J. B. (2019) · PLoS ONE · doi:10.1371/journal.pone.0224669 · Cited by 32
Bursting of excitatory cells is linked to interictal epileptic discharge generation in humans
Hofer, K. T., Kandrács, Á., Tóth, K., Hajnal, B., Bokodi, V., Tóth, E. Z., Erőss, L., Entz, L., Bagó, A. G., Fabó, D., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-10319-4 · Cited by 31
Self-citationThe Role of Inhibition in Epileptic Networks
Trevelyan, A. J., Muldoon, S. F., Merricks, E. M., Racca, C., & Staley, K. J. (2015) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0000000000000160 · Cited by 30
Dynamic mechanisms underlying afterdischarge: A human subdural recording study
Kalamangalam, G. P., Tandon, N., & Slater, J. D. (2013) · Clinical Neurophysiology · doi:10.1016/j.clinph.2013.11.027 · Cited by 30
Coupling of gamma band activity to sleep spindle oscillations - a combined EEG/MEG study
Weber, F. D., Supp, G. G., Klinzing, J. G., Mölle, M., Engel, A. K., & Born, J. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2020.117452 · Cited by 29
Weiss, S. A., Sheybani, L., Seenarine, N., Fried, I., Wu, C., Sharan, A. D., Engel, J., Sperling, M. R., Nir, Y., & Staba, R. J. (2022) · Neurobiology of Disease · doi:10.1016/j.nbd.2022.105928 · Cited by 29
Metadata
- Authors
- Csercsa, R., Dombovári, B., Fabó, D., Wittner, L., Erőss, L., Entz, L., Sólyom, A., Rásonyi, G., Szűcs, A., Kelemen, A., Jakus, R., Juhos, V., Grand, L., Magony, A., Halász, P., Freund, T. F., Maglóczky, Z., Cash, S. S., Papp, L., Karmos, G., Halgren, E., & Ulbert, I.
- Affiliations
- Hungarian Academy of Sciences (HU)
- Pázmány Péter Catholic University (HU)
- Országos Idegsebészeti Tudományos Intézet (HU)
- Unified Szent István and Szent László Hospital (HU)
- HUN-REN Institute of Experimental Medicine (HU)
- Massachusetts General Hospital (US)
- University of California San Diego (US)
- ORCID
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-07-23
- Volume
- 133
- Issue
- 9
- Pages
- 2814-2829
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- PMC
- PMC3105490
- OpenAlex
- W2125813953
- Cited by
- 239
- References
- 96
- Citations by year
- 2026: 5 · 2025: 14 · 2024: 18 · 2023: 13 · 2022: 16 · 2021: 9 · 2020: 13 · 2019: 16 · 2018: 10 · 2017: 10 · 2016: 9 · 2015: 18 · 2014: 17 · 2013: 28 · 2012: 21
- FWCI
- 13.77
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Brain (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Danish Cancer Society Research Center
- Agence Nationale de la Recherche
- Hungarian Scientific Research Fund
- Nemzeti Kutatási és Technológiai Hivatal
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- slow-wave activity, sleep spindles, slow-wave sleep, cortical oscillations, supragranular layers, intracortical recording, drug-resistant epilepsy, seizure localization, membrane currents, current source density, electrocorticography
- MeSH terms
- Action Potentials, Analysis of Variance, Animals, Brain, Brain Mapping, Electroencephalography, Electrophysiology, Epilepsy, Humans, Neurons, Periodicity, Spectrum Analysis
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
