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Sleep Spindles in Humans: Insights from Intracranial EEG and Unit Recordings
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Sleep spindles are an electroencephalographic (EEG) hallmark of non-rapid eye movement (NREM) sleep and are believed to mediate many sleep-related functions, from memory consolidation to cortical development. Spindles differ in location, frequency, and association with slow waves, but whether this heterogeneity may reflect different physiological processes and potentially serve different functional roles remains unclear. Here we used a unique opportunity to record intracranial depth EEG and single-unit activity in multiple brain regions of neurosurgical patients to better characterize spindle activity in human sleep. We find that spindles occur across multiple neocortical regions, and less frequently also in the parahippocampal gyrus and hippocampus. Most spindles are spatially restricted to specific brain regions. In addition, spindle frequency is topographically organized with a sharp transition around the supplementary motor area between fast (13-15 Hz) centroparietal spindles often occurring with slow-wave up-states, and slow (9-12 Hz) frontal spindles occurring 200 ms later on average. Spindle variability across regions may reflect the underlying thalamocortical projections. We also find that during individual spindles, frequency decreases within and between regions. In addition, deeper NREM sleep is associated with a reduction in spindle occurrence and spindle frequency. Frequency changes between regions, during individual spindles, and across sleep may reflect the same phenomenon, the underlying level of thalamocortical hyperpolarization. Finally, during spindles neuronal firing rates are not consistently modulated, although some neurons exhibit phase-locked discharges. Overall, anatomical considerations can account well for regional spindle characteristics, while variable hyperpolarization levels can explain differences in spindle frequency.
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“Frequencies below 20 Hz were avoided because of the potential overlap with fast sleep spindles, which can reach 18 Hz 65,66 .”
From The neural correlates of dreaming (2017) · cites this paper as [65]
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“Importantly, this research revealed that in the neocortex, single spindles typically express as a local phe-nomena and are restricted to specific regions and circuits, regardless of whether or not they are synchronized in phase with central thalamic spindle generation.”
From About Sleep's Role in Memory (2013) · cites this paper as [38]
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“As for spindles, only the classic fast spindles display the strong phase synchronization with the emergent depolarizing upstate of the slow oscillation.Slow frontal spindles, in contrast, tend to follow fast spindles by 200 -500 ms and thus occur already in the up-to-down state transition of the slow oscillation (38,826).”
From About Sleep's Role in Memory (2013) · cites this paper as [38]
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Cites
(2007) · Cited by 6,530
Diekelmann, S., & Born, J. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2762 · Cited by 3,760
Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering
Quiroga, R. Q., Nadasdy, Z., & Ben-Shaul, Y. (2004) · Neural Computation · doi:10.1162/089976604774201631 · Cited by 2,119
Spike Timing–Dependent Plasticity: A Hebbian Learning Rule
Caporale, N., & Dan, Y. (2008) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.31.060407.125639 · Cited by 1,997 · cited 2×
“That spike timing is modulated by sleep spindles and is also implicated in plasticity processes (Caporale and Dan, 2008) supports the notion that spindles may have a role in synaptic plasticity (Khazipov et al., 2004).”
BackgroundHuber, R., Felice Ghilardi, M., Massimini, M., & Tononi, G. (2004) · Nature · doi:10.1038/nature02663 · Cited by 1,854
Self-citationSleep and arousal: thalamocortical mechanisms
McCormick, D. A., & Bal, T. (1997) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.20.1.185 · Cited by 1,267
The sleep slow oscillation as a traveling wave
Massimini, M., Huber, R., Ferrarelli, F., Hill, S., & Tononi, G. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.1318-04.2004 · Cited by 1,221
Self-citationPrefrontal phase locking to hippocampal theta oscillations
Siapas, A. G., Lubenov, E. V., & Wilson, M. A. (2005) · Neuron · doi:10.1016/j.neuron.2005.02.028 · Cited by 1,014
Atlas of Electroencephalography
(1941) · JAMA · doi:10.1001/jama.1941.02820290075031 · Cited by 1,002
Gennaro, L. D., & Ferrara, M. (2003) · Sleep Medicine Reviews · doi:10.1053/smrv.2002.0252 · Cited by 957
Research works printed but not linked: 3
- Dehghani, 2010, Dynamics of excitation and inhibition, and local interactions, during slow wave sleep oscillations in rat prefrontal cortex, Soc Neurosci Abstr, 36, 44
- Jones EG (2007) The thalamus (Cambridge UP, Cambridge, UK), Ed 2.
- Steriade M (2003) Neuronal substrates of sleep and epilepsy (Cambridge UP, Cambridge, UK), Ed 1.
Cited by
Sorted by citations
Items 201–300 of 504
Sitnikova, E., Hramov, A. E., Grubov, V., & Koronovsky, A. A. (2014) · Neuroscience Journal · doi:10.1155/2014/370764 · Cited by 25
Vien, C., Boré, A., Boutin, A., Pinsard, B., Carrier, J., Doyon, J., & Fogel, S. M. (2019) · Neuroscience · doi:10.1016/j.neuroscience.2018.12.049 · Cited by 27
Wang, C., Laxminarayan, S., Ramakrishnan, S., Dovzhenok, A. A., Cashmere, J. D., Germain, A., & Jaques Reifman, A. (2020) · SLEEP · doi:10.1093/sleep/zsaa064 · Cited by 23
Ramot, M., Fisch, L., Davidesco, I., Harel, M., Kipervasser, S., Andelman, F., Neufeld, M. Y., Kramer, U., Fried, I., & Malach, R. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.0232-13.2013 · Cited by 25
Self-citationCPAP Treatment Partly Normalizes Sleep Spindle Features in Obstructive Sleep Apnea
Saunamäki, T., Huupponen, E., Loponen, J., & Himanen, S. (2017) · Sleep Disorders · doi:10.1155/2017/2962479 · Cited by 24
Cortico-Hippocampal Circuits for Memory Consolidation: The Role of the Prefrontal Cortex
Genzel, L., & Battaglia, F. P. (2017) · Studies in neuroscience, psychology and behavioral economics · doi:10.1007/978-3-319-45066-7_16 · Cited by 22
Sharp Wave-Ripples in Human Amygdala and Their Coordination with Hippocampus during NREM Sleep
Cox, R., Rüber, T., Staresina, B. P., & Fell, J. (2020) · Cerebral Cortex Communications · doi:10.1093/texcom/tgaa051 · Cited by 24
Şenel, G. B., Aydın, Ö., Aydın, E. T., Bayar, M. R., & Karadeniz, D. (2021) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2021.07.626 · Cited by 23
Gonzalez, C. E., Jiang, X., Gonzalez-Martinez, J. A., & Halgren, E. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.1786-21.2022 · Cited by 23
Automated sleep spindle detection with mixed EEG features
Chen, P., Chen, D., Zhang, L., Tang, Y., & Xiaoli Li, A. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.103026 · Cited by 22
Spatiotemporal Dynamics of Sleep Spindle Sources Across NREM Sleep Cycles
Alfonsi, V., D’Atri, A., Gorgoni, M., Scarpelli, S., Mangiaruga, A., Ferrara, M., & Gennaro, L. D. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00727 · Cited by 21
Sákovics, A., Csukly, G., Borbély, C., Virág, M., Kelemen, A., Bódizs, R., Erőss, L., & Fabó, D. (2022) · Epilepsia · doi:10.1111/epi.17337 · Cited by 22
Asymmetry of sleep electrophysiological markers in patients with focal epilepsy
Sheybani, L., Mégevand, P., Roehri, N., Spinelli, L., Kleinschmidt, A. K., van Mierlo, P., Seeck, M., & Vulliémoz, S. (2023) · Brain Communications · doi:10.1093/braincomms/fcad161 · Cited by 21
Horne, J. (2013) · Sleep Medicine · doi:10.1016/j.sleep.2013.05.019 · Cited by 21
Takeuchi, S., Murai, R., Shimazu, H., Isomura, Y., Mima, T., & Tsujimoto, T. (2016) · SLEEP · doi:10.5665/sleep.6100 · Cited by 22
The hemispheric lateralization of sleep spindles in humans
Bódizs, R., Gombos, F., Ujma, P. P., Szakadát, S., Sándor, P., Simor, P., Pótári, A., Konrad, B. N., Genzel, L., Steiger, A., et al. (2017) · Sleep Spindles & Cortical Up States · doi:10.1556/2053.01.2017.002 · Cited by 21
Electrical Source Imaging of Sleep Spindles
Felice, A. D., Arcaro, C., Storti, S. F., Fiaschi, A., & Manganotti, P. (2013) · Clinical EEG and Neuroscience · doi:10.1177/1550059413497716 · Cited by 21
Emerging Functions of Neuromodulation during Sleep
Sulaman, B. A., Zhang, Y., Matosevich, N., Kjærby, C., Foustoukos, G., Andersen, M., & Eban-Rothschild, A. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.1277-24.2024 · Cited by 24
Altered sleep spindles and slow waves during space shuttle missions
Koller, D. P., Kasanin, V., Flynn‐Evans, E. E., Sullivan, J. P., Dijk, D., Czeisler, C. A., & Barger, L. K. (2021) · npj Microgravity · doi:10.1038/s41526-021-00177-1 · Cited by 19
How we sleep: From brain states to processes
Andrillon, T. (2023) · Revue Neurologique · doi:10.1016/j.neurol.2023.08.007 · Cited by 24
Self-citationMemory traces of long-range coordinated oscillations in the sleeping human brain
Piantoni, G., van der Werf, Y. D., Jensen, O. B., & Someren, E. J. W. V. (2014) · Human Brain Mapping · doi:10.1002/hbm.22613 · Cited by 25
Mensen, A., Poryazova, R., Huber, R., & Bassetti, C. L. (2018) · Scientific Reports · doi:10.1038/s41598-018-36327-x · Cited by 22
Frӧhlich, F., & Lustenberger, C. (2020) · Schizophrenia Research · doi:10.1016/j.schres.2020.04.003 · Cited by 23
Neurophysiological features of STN LFP underlying sleep fragmentation in Parkinson’s disease
Zhang, G., Yu, H., Chen, Y., Gong, C., Hao, H., Guo, Y., Xu, S., Zhang, Y., Yuan, X., Yin, G., et al. (2024) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2023-331979 · Cited by 19
The 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
Sleep: The Tip of the Iceberg in the Bidirectional Link Between Alzheimer's Disease and Epilepsy
Szabo, A. B., Cretin, B., Gérard, F., Curot, J., Barbeau, E. J., Pariente, J., Dahan, L., & Valton, L. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.836292 · Cited by 21
Conserved Population Dynamics in the Cerebro-Cerebellar System between Waking and Sleep
Xu, W., Carvalho, F. D., & Jackson, A. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.0807-22.2022 · Cited by 20
Role of cerebellum in sleep-dependent memory processes
Jackson, A., & Xu, W. (2023) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2023.1154489 · Cited by 21
Niknazar, H., & Mednick, S. C. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2024.3366170 · Cited by 19
A robust two-stage sleep spindle detection approach using single-channel EEG
Jiang, D., Ma, Y., & Wang, Y. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/abd463 · Cited by 19
Synchronization and Propagation of Global Sleep Spindles
de Souza, R. T. F., Gerhardt, G. J. L., Schönwald, S. V., Rybarczyk-Filho, J. L., & Lemke, N. (2016) · PLoS ONE · doi:10.1371/journal.pone.0151369 · Cited by 19
Thorn, E. L., Ostrowski, L. M., Chinappen, D. M., Jing, J., Westover, M. B., Stufflebeam, S. M., Kramer, M., & Chu, C. J. (2020) · Epilepsia · doi:10.1111/epi.16681 · Cited by 19
Assessing EEG sleep spindle propagation. Part 1: Theory and proposed methodology
O’Reilly, C., & Nielsen, T. (2013) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2013.08.013 · Cited by 18
Electroencephalographic sleep macrostructure and sleep spindles in early infancy
Ventura, S., Mathieson, S., O’Toole, J. M., Livingstone, V., Ryan, M. A., & Boylan, G. B. (2021) · SLEEP · doi:10.1093/sleep/zsab262 · Cited by 18
Parker, J. L., Melaku, Y. A., D'Rozario, A. L., Wittert, G., Martin, S., CATCHESIDE, P. G., Lechat, B., Teare, A. J., Adams, R., Appleton, S., et al. (2021) · SLEEP · doi:10.1093/sleep/zsab282 · Cited by 19
Czekus, C., Steullet, P., López, A. O., Bozic, I., Rusterholz, T., Bandarabadi, M., Kim, Q., & Herrera, C. G. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01700-w · Cited by 18
Wei, X., Avigdor, T., Ho, A., Minato, E., Garcia‐Asensi, A., Royer, J., Wang, Y. L., Trávníček, V., Schiller, K., Bernhardt, B. C., et al. (2024) · Scientific Data · doi:10.1038/s41597-024-03722-1 · Cited by 20
Merikanto, I., Kuula, L., Makkonen, T., Bódizs, R., Halonen, R., Heinonen, K., Lahti, J. M. T., Räikkönen, K., & Pesonen, A. (2017) · Scientific Reports · doi:10.1038/s41598-017-13846-7 · Cited by 16
Co‐ordination of brain and heart oscillations during non‐rapid eye movement sleep
Mikutta, C. A., Wenke, M., Spiegelhalder, K., Hertenstein, E., Maier, J. G., Schneider, C. L., Fehér, K. D., Koenig, J., Altorfer, A., Riemann, D. W., et al. (2021) · Journal of Sleep Research · doi:10.1111/jsr.13466 · Cited by 16
Wang, X., Leong, A. T. L., Tan, S. Z. K., Wong, E. C., Liu, Y., Lim, L. W., & Wu, E. X. (2023) · Nature Communications · doi:10.1038/s41467-023-37682-8 · Cited by 18
The pros and cons of using automated sleep scoring in sleep research
Rayan, A., Szabo, A. B., & Genzel, L. (2023) · SLEEP · doi:10.1093/sleep/zsad275 · Cited by 19
Felice, A. D., Arcaro, C., Storti, S. F., Fiaschi, A., & Manganotti, P. (2013) · Clinical Neurophysiology · doi:10.1016/j.clinph.2013.06.002 · Cited by 17
Pace, M., Colombi, I., Falappa, M., Freschi, A., Bandarabadi, M., Andrea, A., Encarnación, B. M., Adamantidis, A., Amici, R., Cerri, M., et al. (2020) · Human Molecular Genetics · doi:10.1093/hmg/ddaa084 · Cited by 17
Evaluation of electroencephalography biomarkers for Angelman syndrome during overnight sleep
Levin, Y., Hosamane, N. S., McNair, T. E., Kunnam, S. S., Philpot, B. D., Fan, Z., & Sidorov, M. S. (2022) · Autism Research · doi:10.1002/aur.2709 · Cited by 16
Sesso, G., Bat‐Pitault, F., Guyon, A., Plancoulaine, S., Banfi, T., Milioli, G., Parrino, L., Faraguna, U., & Franco, P. (2017) · Sleep Medicine · doi:10.1016/j.sleep.2017.05.013 · Cited by 16
Identifying sleep spindles with multichannel EEG and classification optimization
Mei, N., Grossberg, M. D., Ng, K., Navarro, K. T., & Ellmore, T. M. (2017) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2017.08.030 · Cited by 16
Castelnovo, A., D’Agostino, A., Mayeli, A., Albantakis, L., Tononi, G., & Ferrarelli, F. (2025) · Biological Psychiatry · doi:10.1016/j.biopsych.2025.06.014 · Cited by 17
Self-citationPartially Preserved Processing of Musical Rhythms in REM but Not in NREM Sleep
Ortega, R. S., Lenc, T., Nozaradan, S., & Peigneux, P. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab303 · Cited by 19
Fast ripples reflect increased excitability that primes epileptiform spikes
Weiss, S. A., Fried, I., Engel, J., Sperling, M. R., Wong, R. K. S., Nir, Y., & Staba, R. J. (2023) · Brain Communications · doi:10.1093/braincomms/fcad242 · Cited by 16
Self-citationPage, J. M., Wakschlag, L. S., & Norton, E. S. (2021) · Developmental Psychobiology · doi:10.1002/dev.22202 · Cited by 17
Joechner, A., Wehmeier, S., & Werkle‐Bergner, M. (2021) · Psychophysiology · doi:10.1111/psyp.13829 · Cited by 17
Oscillatory and nonoscillatory sleep electroencephalographic biomarkers of the epileptic network
Latreille, V., Corbin‐Lapointe, J., Peter‐Derex, L., Thomas, J., Lina, J., & Frauscher, B. (2024) · Epilepsia · doi:10.1111/epi.18088 · Cited by 15
Sleep spindles, stress and PTSD: The state of the science and future directions
Natraj, N., & Richards, A. L. (2023) · Neurobiology of Stress · doi:10.1016/j.ynstr.2023.100516 · Cited by 15
Natraj, N., Neylan, T. C., Yack, L. M., Metzler, T. J., Woodward, S. H., Hubachek, S. Q., Dukes, C., Udupa, N. S., Mathalon, D. H., & Richards, A. L. (2023) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2023.02.007 · Cited by 15
Kozhemiako, N., Buckley, A. W., Chervin, R. D., Redline, S. S., & Purcell, S. (2023) · NeuroImage Clinical · doi:10.1016/j.nicl.2023.103552 · Cited by 16
The timing of sleep spindles is modulated by the respiratory cycle in humans
Ghibaudo, V., Juventin, M., Buonviso, N., & Peter‐Derex, L. (2024) · Clinical Neurophysiology · doi:10.1016/j.clinph.2024.06.014 · Cited by 17
The Case of the Disappearing Spindle Burst
Tiriac, A., & BLUMBERG, M. S. (2016) · Neural Plasticity · doi:10.1155/2016/8037321 · Cited by 15
Magrassi, L., Zippo, A. G., Azzalin, A., Bastianello, S., Imberti, R., & Biella, G. E. M. (2018) · PLoS ONE · doi:10.1371/journal.pone.0205967 · Cited by 15
Characterizing Sleep Spindles in Sheep
Schneider, W. T., Vas, S., Nicol, A. U., & Morton, A. J. (2020) · eNeuro · doi:10.1523/eneuro.0410-19.2020 · Cited by 14
Spatiotemporal patterns of sleep spindle activity in human anterior thalamus and cortex
Bernhard, H., Schaper, F. L. W. V. J., Janssen, M. L. F., Gommer, E. D., Jansma, B. M., van Kranen-Mastenbroek, V. H. J. M., Rouhl, R. P. W., Weerd, P. D., Reithler, J., Roberts, M. J., et al. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119625 · Cited by 14
Alizadeh, Z., Azimi, A., & Ghorbani, M. (2022) · The Journal of Neuroscience · doi:10.1523/jneurosci.2515-21.2022 · Cited by 14
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Bergmann, T. O., & Staresina, B. P. (2017) · Studies in neuroscience, psychology and behavioral economics · doi:10.1007/978-3-319-45066-7_12 · Cited by 14
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Bernardi, G., Avvenuti, G., Cataldi, J., Lattanzi, S., Ricciardi, E., Polonara, G., Silvestrini, M., Siclari, F., Fabri, M., & Bellesi, M. (2021) · Brain Communications · doi:10.1093/braincomms/fcab108 · Cited by 14
Amygdala and hippocampus dialogue with neocortex during human sleep and wakefulness
Muñoz‐Torres, Z., Corsi‐Cabrera, M., Velasco, F., & Velasco, A. L. (2022) · SLEEP · doi:10.1093/sleep/zsac224 · Cited by 14
The Role of Sleep Spindles in Sleep-Dependent Memory Consolidation
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Delay differential analysis for dynamical sleep spindle detection
Sampson, A. L., Lainscsek, C. S. M., Gonzalez, C. E., Ulbert, I., Devinsky, O., Fabó, D., Madsen, J. R., Halgren, E., Cash, S. S., & B, T. J. S. A. (2019) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2019.01.009 · Cited by 14
Martinez, J. D., Wilson, L. G., Brancaleone, W. P., Peterson, K. G., Popke, D. S., Caicedo-Garzón, V., Perez‐Tremble, R., Donnelly, M. J., Ortega, S., Torres, D., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114266 · Cited by 17
The distinctive sleep pattern of the human calcarine cortex: a stereo-electroencephalographic study
Gorgoni, M., Sarasso, S., Moroni, F., Sartori, I., Ferrara, M., Nobili, L., & Gennaro, L. D. (2021) · SLEEP · doi:10.1093/sleep/zsab026 · Cited by 13
Chaos in memory function of sleep: A nonlinear dynamical analysis in thalamocortical study
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Sigl‐Glöckner, J., & Seibt, J. (2018) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2018.09.011 · Cited by 13
Xu, Y., McInnes, A., Kao, C.-H., D'Rozario, A. L., Feng, J., & Gong, P. (2025) · Communications Biology · doi:10.1038/s42003-025-08447-4 · Cited by 12
Spindle Chirp and other Sleep Oscillatory Features in Young Children with Autism
Cumming, D., Kozhemiako, N., Thurm, A. E., Farmer, C., Purcell, S., & Buckley, A. W. (2023) · Sleep Medicine · doi:10.1016/j.sleep.2024.05.008 · Cited by 11
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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
Blindfolding during wakefulness causes decrease in sleep slow wave activity
Korf, E. M., Mölle, M., Jan Born, A., & Ngo, H.-V. V. (2017) · Physiological Reports · doi:10.14814/phy2.13239 · Cited by 11
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
Lambert, I., Roehri, N., Fayerstein, J., Giusiano, B., Colombet, B., Bénar, C., & Bartoloméi, F. (2022) · Clinical Neurophysiology · doi:10.1016/j.clinph.2022.08.026 · Cited by 12
The pharmacology of human sleep, a work in progress?
Idzikowski, C. (2014) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2014.01.002 · Cited by 12
Guerrero, A. F., & Achermann, P. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00912 · Cited by 12
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Arbune, A.-A., Popa, I., Mı̂ndruță, I., Beniczky, S., Donos, C., Daneasa, A., Mălîia, M. D., Bajenaru, O. A., Ciurea, J., & Barborică, A. (2019) · Clinical Neurophysiology · doi:10.1016/j.clinph.2019.09.010 · Cited by 13
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Catron, M. A., Howe, R., Besing, G.-L. K., John, E. K. S., Potesta, C. V., Gallagher, M. J., Macdonald, R. L., & Zhou, C. (2022) · Brain Communications · doi:10.1093/braincomms/fcac332 · Cited by 10
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Self-citationA visual paired associate learning ( vPAL ) paradigm to study memory consolidation during sleep
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Self-citation
Metadata
- Authors
- Andrillon, T., Nir, Y., Staba, R. J., Ferrarelli, F., Cirelli, C., Tononi, G., & Fried, I.
- Affiliations
- University of Wisconsin–Madison (US)
- University of California, Los Angeles (US)
- ORCID
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2011-12-07
- Volume
- 31
- Issue
- 49
- Pages
- 17821-17834
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC3270580
- OpenAlex
- W2004454719
- Cited by
- 504
- References
- 93
- Citations by year
- 2026: 26 · 2025: 41 · 2024: 37 · 2023: 57 · 2022: 40 · 2021: 30 · 2020: 48 · 2019: 38 · 2018: 38 · 2017: 46 · 2016: 27 · 2015: 25 · 2014: 21 · 2013: 24 · 2012: 6
- FWCI
- 8.29
- 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)
- Funders
- National Institutes of Health (DP1OD000579)
- National Institute of Neurological Disorders and Stroke (R01NS071048)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Keywords
- sleep spindles, NREM sleep, single-unit activity, supplementary motor area, parahippocampal gyrus, hippocampus, spindle frequency, topographic organization
- MeSH terms
- Action Potentials, Adult, Brain, Brain Mapping, Electroencephalography, Electromyography, Electrooculography, Epilepsy, Female, Humans, Male, Middle Aged, Neurons, Sleep, Spectrum Analysis, Time Factors, Polysomnography, Nonlinear Dynamics, Young Adult, Brain Waves
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