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
Flagged first, then by citations
1 of the 96 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 101–200 of 239
Chloride ion dysregulation in epileptogenic neuronal networks
Weiss, S. A. (2023) · Neurobiology of Disease · doi:10.1016/j.nbd.2023.106000 · Cited by 28
Discrepancies between Multi-Electrode LFP and CSD Phase-Patterns: A Forward Modeling Study
Hindriks, R., Arsiwalla, X. D., Panagiotaropoulos, T. I., Besserve, M., Verschure, P. F. M. J., Logothetis, N. K., & Deco, G. (2016) · Frontiers in Neural Circuits · doi:10.3389/fncir.2016.00051 · Cited by 26
DREDge: robust motion correction for high-density extracellular recordings across species
Windolf, C., Yu, H. Y., Paulk, A. C., Meszéna, D., Muñoz, W., Boussard, J., Hardstone, R., Caprara, I., Jamali, M., Kfir, Y., et al. (2025) · Nature Methods · doi:10.1038/s41592-025-02614-5 · Cited by 32
Self-citationBouchard, M., Lina, J., Gaudreault, P., Lafrenière, A., Dubé, J., Gosselin, N., & Carrier, J. (2021) · eLife · doi:10.7554/elife.64337 · Cited by 30
A 3D atlas of functional human brain energetic connectome based on neuropil distribution
Yu, Y., Akif, A., Hermán, P., Cao, M., Rothman, D. L., Carson, R. E., Agarwal, D., Evans, A. C., & Hyder, F. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac322 · Cited by 27
Valencia, M., Artieda, J., Bolam, J. P., & Mena‐Segovia, J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0067540 · Cited by 27
Menicucci, D., Piarulli, A., Allegrini, P., Laurino, M., Mastorci, F., Sebastiani, L., Bedini, R., & Gemignani, A. (2013) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2013.01.014 · Cited by 26
Slow and Fast Neocortical Oscillations in the Senescence-Accelerated Mouse Model SAMP8
Castano-Prat, P., Pérez‐Zabalza, M., Perez-Mendez, L., Escorihuela, R. M., & Sanchez-Vives, M. V. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00141 · Cited by 26
Sato, Y., Doesburg, S. M., Wong, S. M., Boelman, C. G., Ochi, A., & Otsubo, H. (2014) · Epilepsia · doi:10.1111/epi.12728 · Cited by 25
The sleeping brain as a complex system
Olbrich, E., Achermann, P., & Wennekers, T. (2011) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2011.0199 · Cited by 25
Baek, K., Shim, W. H., Jeong, J., Radhakrishnan, H., Rosen, B. R., Boas, D. A., Franceschini, M. A., Biswal, B. B., & Kim, Y. R. (2015) · Brain Structure and Function · doi:10.1007/s00429-015-1073-0 · Cited by 24
Encephalopathy related to Status Epilepticus during slow Sleep: a link with sleep homeostasis?
Rubboli, G., Huber, R., Tononi, G., & Tassinari, C. A. (2019) · Epileptic Disorders · doi:10.1684/epd.2019.1059 · Cited by 24
Intracranial neuronal ensemble recordings and analysis in epilepsy
Tóth, E., Fabó, D., Entz, L., Ulbert, I., & Erőss, L. (2015) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2015.09.028 · Cited by 23
Self-citationAberrant thalamocortical coherence in an animal model of tinnitus
Rodrigues, P. V., Auerbach, B. D., & Salvi, R. (2019) · Journal of Neurophysiology · doi:10.1152/jn.00053.2018 · Cited by 22
Inhibition and oscillations in the human brain tissue in vitro
de la Prida, L. M., & Huberfeld, G. (2019) · Neurobiology of Disease · doi:10.1016/j.nbd.2019.02.006 · Cited by 21
Intracranial Markers of Conscious Face Perception in Humans
Baroni, F., van Kempen, J., Kawasaki, H., Kovach, C. K., Oya, H., Howard, M. A., Adolphs, R., & Tsuchiya, N. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2017.08.074 · Cited by 28
Fiáth, R., Raducanu, B. C., Musa, S., Andrei, A., López, C. M., Welkenhuysen, M., Ruther, P., Aarts, A. A. A., & Ulbert, I. (2018) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2018.08.020 · Cited by 19
Self-citationHuang, H., Gregg, N. M., Valencia, G. O., Brinkmann, B. H., Lundstrom, B. N., Worrell, G. A., Miller, K. J., & Hermes, D. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.1325-22.2023 · Cited by 22
Cortical depth-dependent human fMRI of resting-state networks using EPIK
Pais‐Roldán, P., Yun, S. D., Palomero‐Gallagher, N., & Shah, N. J. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1151544 · Cited by 20
Differential cortical layer engagement during seizure initiation and spread in humans
Bourdillon, P., Ren, L., Halgren, M., Paulk, A. C., Salami, P., Ulbert, I., Fabó, D., King, J.-R., Sjoberg, K. M., Eskandar, E. N., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-48746-8 · Cited by 20
Self-citationThe laminar profile of sleep spindles in humans
Ujma, P. P., Hajnal, B., Bódizs, R., Gombos, F., Erőss, L., Wittner, L., Halgren, E., Cash, S. S., Ulbert, I., & Fabó, D. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117587 · Cited by 18
Self-citationStereotypical spatiotemporal activity patterns during slow-wave activity in the neocortex
Fucke, T., Suchanek, D., Nawrot, M. P., Seamari, Y., Heck, D. H., Aertsen, A., & Boucsein, C. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00811.2010 · Cited by 19
Serafini, R. (2019) · Clinical Neurophysiology · doi:10.1016/j.clinph.2018.12.011 · Cited by 19
Halgren, M., Kang, R., Voytek, B., Ulbert, I., Fabó, D., Erőss, L., Wittner, L., Madsen, J. R., Doyle, W., Devinsky, O., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.07.28.454235 · Cited by 22
Self-citationCompromised Dynamic Cerebral Autoregulation in Patients with Epilepsy
Lv, S., Guo, Z., Jin, H., Sun, X., Jia, M., Ma, H., Lv, Y., Qiu, Q., Liu, J., & Yang, Y. (2018) · BioMed Research International · doi:10.1155/2018/6958476 · Cited by 18
Thalamic activity during scalp slow waves in humans
Ujma, P. P., Szalárdy, O., Fabó, D., Erőss, L., & Bódizs, R. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119325 · Cited by 18
Self-citationOn noninvasive source imaging of the human K-complex
Wennberg, R. A., & Cheyne, D. O. (2012) · Clinical Neurophysiology · doi:10.1016/j.clinph.2012.10.022 · Cited by 18
Dipole Source Localization of Mouse Electroencephalogram Using the Fieldtrip Toolbox
Lee, C., Oostenveld, R., Lee, S. H., Kim, L. H., Sung, H., & Choi, J. H. (2013) · PLoS ONE · doi:10.1371/journal.pone.0079442 · Cited by 18
Characteristic changes in the slow cortical waves after a 6-h sleep deprivation in rat
Hajnik, T., Tóth, A., & Détári, L. (2013) · Brain Research · doi:10.1016/j.brainres.2012.12.047 · Cited by 17
Fabó, D., Bokodi, V., Szabó, J.-P., Tóth, E., Salami, P., Keller, C. J., Hajnal, B., Thesen, T., Devinsky, O., Doyle, W., et al. (2023) · Scientific Reports · doi:10.1038/s41598-022-22497-2 · Cited by 16
Self-citationWave propagation of cortical population activity under urethane anesthesia is state dependent
Wanger, T., Takagaki, K., Lippert, M., Goldschmidt, J., & Ohl, F. W. (2013) · BMC Neuroscience · doi:10.1186/1471-2202-14-78 · Cited by 15
Cantalupo, G., Rubboli, G., & Tassinari, C. A. (2011) · Clinical Neurophysiology · doi:10.1016/j.clinph.2011.02.027 · Cited by 16
Enhanced slow waves at the periphery of human epileptic foci
Serafini, R., & Loeb, J. A. (2014) · Clinical Neurophysiology · doi:10.1016/j.clinph.2014.08.023 · Cited by 16
How Human Single-Neuron Recordings Can Help Us Understand Cognition: Insights from Memory Studies
Kubska, Z. R., & Kamiński, J. (2021) · Brain Sciences · doi:10.3390/brainsci11040443 · Cited by 15
Lotrich, F. E., & Germain, A. (2014) · Acta Neuropsychiatrica · doi:10.1017/neu.2014.30 · Cited by 15
Orczyk, J. J., Barczak, A., Costa‐Faidella, J., & Kajikawa, Y. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.3225-20.2021 · Cited by 15
Electrode Development for Epilepsy Diagnosis and Treatment
Paulk, A. C., Salami, P., Zelmann, R., & Cash, S. S. (2023) · Neurosurgery Clinics of North America · doi:10.1016/j.nec.2023.09.003 · Cited by 17
Self-citationHajnal, B., Szabó, J. P., Tóth, E., Keller, C. J., Wittner, L., Mehta, A. D., Erőss, L., Ulbert, I., Fabó, D., & Entz, L. (2024) · Scientific Reports · doi:10.1038/s41598-024-62433-0 · Cited by 14
Self-citationThalamic spindles and Up states coordinate cortical and hippocampal co-ripples in humans
Dickey, C. W., Verzhbinsky, I. A., Kajfez, S., Rosen, B. Q., Gonzalez, C. E., Chauvel, P., Cash, S. S., Pati, S. B. B., & Halgren, E. (2024) · PLoS Biology · doi:10.1371/journal.pbio.3002855 · Cited by 15
Self-citationZanatta, P., TOFFOLO, G. M., Sartori, E., Bet, A., Baldanzi, F., Agarwal, N., & Golanov, E. V. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.01.033 · Cited by 16
Spatial diversity of spontaneous activity in the cortex
Tan, A. Y. Y. (2015) · Frontiers in Neural Circuits · doi:10.3389/fncir.2015.00048 · Cited by 14
Lerner, I., Ketz, N., Jones, A. P., Bryant, N. B., Robert, B. M., Skorheim, S. W., Hartholt, A., Rizzo, A., Gluck, M. A., Clark, V. P., et al. (2019) · Scientific Reports · doi:10.1038/s41598-018-36107-7 · Cited by 14
Horváth, C., Csikós, K., Árkossy, B., Klein, E., Ruther, P., Ulbert, I., & Fiáth, R. (2024) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2024.136220 · Cited by 12
Self-citationSimor, P., Vékony, T., Farkas, B. C., Szalárdy, O., Bogdány, T., Brezóczki, B., Csifcsák, G., & Németh, D. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.1421-24.2025 · Cited by 19
Role of anterior thalamic circuitry during sleep
Szabó, J. P., Fabó, D., Pető, N., Sákovics, A., & Bódizs, R. (2022) · Epilepsy Research · doi:10.1016/j.eplepsyres.2022.106999 · Cited by 13
Self-citationCharacterizing endogenous delta oscillations in human MEG
Gunasekaran, H., Azizi, L., van Wassenhove, V., & Herbst, S. K. (2023) · Scientific Reports · doi:10.1038/s41598-023-37514-1 · Cited by 13
EEG effect of orexin A in freely moving rats
Tóth, A., Balatoni, B., Hajnik, T., & Détári, L. (2012) · Acta Physiologica Hungarica · doi:10.1556/aphysiol.99.2012.3.10 · Cited by 13
Halász, P. (2012) · Handbook of clinical neurology · doi:10.1016/b978-0-444-52898-8.00019-7 · Cited by 13
Self-citationMembrane potential states gate synaptic consolidation in human neocortical tissue
Mittermaier, F. X., Kalbhenn, T., Xu, R., Onken, J., Faust, K., Sauvigny, T., Thomale, U. W., Kaindl, A. M., Holtkamp, M., Grosser, S., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-53901-2 · Cited by 14
Local Patterns of Sleep and Wakefulness
Bernardi, G., & Siclari, F. (2019) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-12-813743-7.00003-7 · Cited by 14
Local Origin of Slow EEG Waves during Sleep
Timofeev, I. (2013) · Журнал высшей нервной деятельности им И П Павлова · doi:10.7868/s0044467713010139 · Cited by 13
Dalal, S. S., Hamamé, C. M., Eichenlaub, J., & Jerbi, K. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.4275-10.2010 · Cited by 12
Cancino-Fuentes, N., Manasanch, A., Covelo, J., Suarez-Perez, A., Fernandez, E., Matsoukis, S., Guger, C., Illa, X., Guimerà‐Brunet, A., & Sanchez-Vives, M. V. (2023) · Nanoscale · doi:10.1039/d3nr03842d · Cited by 11
Spatiotemporal network dynamics and structural correlates in the human cerebral cortex in vitro
Covelo, J., Camassa, A., Sanchez‐Sanchez, J. M., Manasanch, A., Porta, L. D., Cancino-Fuentes, N., Barbero‐Castillo, A., Robles, R. M., Bosch, M., Tapia‐González, S., et al. (2025) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2025.102719 · Cited by 14
Ge, D., Han, C., Liu, C., & Meng, Z. (2025) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.70262 · Cited by 11
Tucker, D. M., Luu, P., & Friston, K. J. (2025) · Cerebral Cortex · doi:10.1093/cercor/bhaf122 · Cited by 15
Hindriks, R., Schmiedt, J. T., Arsiwalla, X. D., Peter, A., Verschure, P. F. M. J., Fries, P., Schmid, M. C., & Deco, G. (2017) · PLoS ONE · doi:10.1371/journal.pone.0187490 · Cited by 11
The Causal Role of Astrocytes in Slow-Wave Rhythmogenesis: A Computational Modelling StudyPreprint
Kozachkov, L., & Michmizos, K. P. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1702.03993 · Cited by 14
Propagating population activity patterns during spontaneous slow waves in the thalamus of rodents
Horváth, C., Ulbert, I., & Fiáth, R. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120484 · Cited by 10
Self-citationHemispherotomy leads to persistent sleep-like slow waves in the isolated cortex of awake humans
Colombo, M. A., Favaro, J., Mikulan, E., Pigorini, A., Zauli, F. M., Sartori, I., d’Orio, P., Castana, L., Toldo, I., Sartori, S., et al. (2025) · PLoS Biology · doi:10.1371/journal.pbio.3003060 · Cited by 10
Hoedlmoser, K. (2020) · Current Sleep Medicine Reports · doi:10.1007/s40675-020-00194-8 · Cited by 14
High γ Activity in Cortex and Hippocampus Is Correlated with Autonomic Tone during Sleep
Alasfour, A., Jiang, X., González-Martínez, J., Gilja, V., & Halgren, E. (2021) · eNeuro · doi:10.1523/eneuro.0194-21.2021 · Cited by 11
Self-citationCholinergic modulation of slow cortical rhythm in urethane-anesthetized rats
Tóth, A., Hajnik, T., & Détári, L. (2011) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2011.10.005 · Cited by 10
Marsh, B. M., Navas-Zuloaga, M. G., Rosen, B. Q., Sokolov, Y., Delanois, J. E., Gonzalez, O. C., Krishnan, G. P., Halgren, E., & Bazhenov, M. (2024) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1012245 · Cited by 10
Self-citationThe sleep EEG envelope is a novel, neuronal firing-based human biomarker
Ujma, P. P., Dresler, M., Simor, P., Fabó, D., Ulbert, I., Erőss, L., & Bódizs, R. (2022) · Scientific Reports · doi:10.1038/s41598-022-22255-4 · Cited by 10
Self-citationQuantitative Sleep Electroencephalogram in Parkinson’s Disease: A Case-Control Study
Memon, A., Catiul, C., Irwin, Z. T., Pilkington, J., Memon, R. A., Joop, A., Wood, K. H., Cutter, G., Miocinovic, S., & Amara, A. W. (2023) · Journal of Parkinson s Disease · doi:10.3233/jpd-223565 · Cited by 8
Sleep Characteristics in Blind Subjects
Ayala‐Guerrero, F. (2015) · Journal of Sleep Disorders and Management · doi:10.23937/2572-4053.1510003 · Cited by 8
Increased cortical involvement and synchronization during CAP A1 slow waves
Ujma, P. P., Halász, P., Simor, P., Fabó, D., & Ferri, R. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1703-4 · Cited by 9
Self-citationNeuronal Activity During the Sleep-Wake Cycle
Timofeev, I., & Chauvette, S. (2019) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-12-813743-7.00001-3 · Cited by 9
Understanding the physical mechanism of transition to epileptic seizures
Aur, D. (2011) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2011.05.028 · Cited by 7
Matsuzaki, N., Juhász, C., & Asano, E. (2012) · Clinical Neurophysiology · doi:10.1016/j.clinph.2012.02.085 · Cited by 7
Comolatti, R., Hassan, G., Mikulan, E., Russo, S., Colombo, M. A., Litterio, E., Furregoni, G., D’Ambrosio, S., Fecchio, M., Parmigiani, S., et al. (2025) · Brain stimulation · doi:10.1016/j.brs.2025.07.016 · Cited by 10
A novel multisite silicon probe for laminar neural recordings
Fiáth, R., Grand, L., Kerekes, B. P., Pongracz, A., Vázsonyi, É. B., Márton, G., Battistig, G., & Ulbert, I. (2011) · Procedia Computer Science · doi:10.1016/j.procs.2011.09.015 · Cited by 6
Self-citationFolmli, B., Turman, B., Johnson, P. J., & Abbott, A. D. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00926.2017 · Cited by 6
Baek, K., Park, C. R., Jang, S., Shim, W. H., & Kim, Y. R. (2022) · Scientific Reports · doi:10.1038/s41598-022-13759-0 · Cited by 6
Probing the human brain at single-neuron resolution with high-density cortical recordings
Meisenhelter, S., & Rutishauser, U. (2022) · Neuron · doi:10.1016/j.neuron.2022.07.014 · Cited by 7
EEG Oscillatory Networks in Peri-Ictal Period of Absence Epilepsy
Li, Z., Huang, J., Wei, W., Jiang, S., Liu, H., Luo, H., & Ruan, J. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.825225 · Cited by 5
Supplementary Material and Methods
Rosato, P. C., Anastasiadou, E., Garg, N., Lenze, D., Boccellato, F., Vincenti, S., Severa, M., Coccia, E. M., Bigi, R., Cirone, M., et al. (2012) · Cited by 3
Lüders, H. O., Noachtar, S., & Rémi, J. (2024) · doi:10.1093/med/9780197502334.001.0001 · Cited by 4
Electrophysiological Mechanisms of Network Control
Valiante, T. A., & Carlen, P. L. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-415804-7.00009-5 · Cited by 4
Sleep EEG Rhythms and System Consolidation of Memory
Feld, G. B., & Jan Born, A. (2012) · Elsevier eBooks · doi:10.1016/b978-0-12-384995-3.00009-5 · Cited by 6
Nakatani, M., Matsumoto, R., Kobayashi, K., Hitomi, T., Inouchi, M., Matsuhashi, M., Kinoshita, M., Kikuchi, T., Yoshida, K., Kunieda, T., et al. (2020) · Clinical Neurophysiology · doi:10.1016/j.clinph.2020.03.042 · Cited by 4
A Role for Neuronal Oscillations of Sleep in Memory and Cognition
Marshall, L. (2020) · Springer eBooks · doi:10.1007/978-1-0716-0653-7_7 · Cited by 4
Fecchio, M., Rosanova, M., Casarotto, S., Sarasso, S., Casali, A. G., Pigorini, A., Comanducci, A., Seregni, F., Devalle, G., Citerio, G., et al. (2019) · Brain stimulation · doi:10.1016/j.brs.2018.12.401 · Cited by 4
Slow-wave sleep : generation and propagation of slow waves, role in long-term plasticity and gating
Chauvette, S. (2013) · Corpus Université Laval (Université Laval) · Cited by 4
Automatic Detection of High Frequency Oscillations of Neural Signals in Epileptic Patients
Yazdanpour-Naeini, R., & Ry (2012) · Spectrum Research Repository (Concordia University) · Cited by 4
Frequency Characteristics of Sleep
Lázár, A. S., Lázár, Z. I., & Bódizs, R. (2022) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780192898340.013.17 · Cited by 4
Cellular Mechanisms of Thalamocortical Oscillations in the Sleeping Brain
Timofeev, I., Bonjean, M., & Bazhenov, M. (2020) · Springer eBooks · doi:10.1007/978-1-0716-0653-7_5 · Cited by 4
Dickey, C. W., Verzhbinsky, I. A., Kajfez, S., Rosen, B. Q., Gonzalez, C. E., Chauvel, P., Cash, S. S., Pati, S. B. B., & Halgren, E. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.09.15.507471 · Cited by 3
Self-citationThree distinct gamma oscillatory networks within cortical columns in macaque monkeys’ area V1
Drebitz, E., Rausch, L.-P., Gil, E. D., & Kreiter, A. K. (2024) · Frontiers in Neural Circuits · doi:10.3389/fncir.2024.1490638 · Cited by 2
Predictive acoustical processing in human cortical layers
Faes, L. K., Zulfiqar, I., Vizioli, L., Yu, Z., Wu, Y., Shin, J. N., Cloos, M. A., Auksztulewicz, R., Melloni, L., Uludaǧ, K., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-73540-z · Cited by 2
Pitfalls of Commonly Used Ischemic and Dementia Models Due to Early Seizure by Carotid Ligation
Hirano, T., Mikami, T., Yamada, S., Nagahama, H., Enatsu, R., Ookawa, S., Akiyama, Y., & Mikuni, N. (2021) · Neurologia medico-chirurgica · doi:10.2176/nmc.oa.2020-0365 · Cited by 2
Slow Wave Activity as Substrate of Homeostatic Regulation
Halász, P., & Bódizs, R. (2012) · Springer eBooks · doi:10.1007/978-1-4471-4333-8_7 · Cited by 2
Self-citationPhase-amplitude coupling in human scalp EEG during NREM sleep
Li, D., Ni, M., & Dun, S. (2015) · International Conference on Biomedical Engineering and Informatics (BMEI) · doi:10.1109/bmei.2015.7401504 · Cited by 2
Neuronal Oscillations in the Thalamocortical System during Sleeping and Waking States
Timofeev, I. (2012) · Elsevier eBooks · doi:10.1016/b978-0-12-384995-3.00001-0 · Cited by 2
The Relationship Between Sleep and Emotion Among the Elderly
Hot, P., Zsoldos, I., & Carrier, J. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-417188-6.00020-7 · Cited by 1
Wang, Y., Li, M., Huang, X., Jiang, P., Zhou, X., Hu, K., & Wang, X. (2025) · Seizure · doi:10.1016/j.seizure.2025.11.020 · Cited by 1
Neocortical Delta Waves, with Implications for Generalized Epilepsies as Well as Decision-Making
Traub, R. D., & Draguhn, A. (2024) · Springer eBooks · doi:10.1007/978-3-031-54537-5_11 · Cited by 1
A proposed role for electrical coupling in the neocortical slow oscillation
Traub, R. D., Draguhn, A., Contreras, D., & Cunningham, M. O. (2025) · Reviews in the Neurosciences · doi:10.1515/revneuro-2025-0018 · Cited by 1
Halász, P., Szűcs, A., Mutti, C., & Parrino, L. (2025) · Journal of Sleep Research · doi:10.1111/jsr.70184 · Cited by 1
Self-citation
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
