Large-Scale Microelectrode Recordings of High-Frequency Gamma Oscillations in Human Cortex during Sleep
Open accessAbstract
Gamma oscillations (40-120 Hz), usually associated with waking functions, can be recorded in the deepest stages of sleep in animals. The full details of their large-scale coordination across multiple cortical networks are still unknown. Furthermore, it is not known whether oscillations with similar characteristics are also present in the human brain. In this study, we examined the existence of gamma oscillations during polysomnographically defined sleep-wake states using large-scale microelectrode recordings (up to 56 channels), with single-cell and spike-time precision, in epilepsy patients. We report that low (40-80 Hz) and high (80-120 Hz) gamma oscillations recurrently emerged over time windows of several hundreds of milliseconds in all investigated cortical areas during slow-wave sleep. These patterns were correlated with positive peaks of EEG slow oscillations and marked increases in local cellular discharges, suggesting that they were associated with cortical UP states. These gamma oscillations frequently appeared at approximately the same time in many different cortical areas, including homotopic regions, forming large spatial patterns. Coincident firings with millisecond precision were strongly enhanced during gamma oscillations but only between cells within the same cortical area. Furthermore, in a significant number of cases, cortical gamma oscillations tended to occur within 100 ms after hippocampal ripple/sharp wave complexes. These data confirm and extend earlier animal studies reporting that gamma oscillations are transiently expressed during UP states during sleep. We speculate that these high-frequency patterns briefly restore "microwake" activity and are important for consolidation of memory traces acquired during previous awake periods.
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High EEG frequencies often reflect high rates of neuronal firing and may indicate brain regions with increased activity.
“since high EEG frequencies often reflect high rates of neuronal firing 16,17 and may thus indicate brain regions that show increased activity.”
From The neural correlates of dreaming (2017) · cites this paper as [17]
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References 72 · Cited by 189
- Authors
- Le Van Quyen, M., Staba, R., Bragin, A., Dickson, C., Valderrama, M., Fried, I., & Engel, J.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- University of California, Los Angeles (US)
- University of Alberta (CA)
- Pitié-Salpêtrière Hospital (FR)
- Venue
- Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2010-06-09
- Volume
- 30
- Issue
- 23
- Pages
- 7770-7782
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC3842470
- OpenAlex
- W2081052410
- Cited by
- 189
- References
- 72
- Citations by year
- 2026: 2 · 2025: 9 · 2024: 5 · 2023: 7 · 2022: 8 · 2021: 9 · 2020: 14 · 2019: 9 · 2018: 10 · 2017: 11 · 2016: 15 · 2015: 10 · 2014: 15 · 2013: 21 · 2012: 16
- FWCI
- 12.57
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Neuroscience (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Institute of Neurological Disorders and Stroke (P01NS002808, NS02808, R37NS033310, R01NS033310, RF1NS033310, NS33310)
- 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
- gamma oscillations, slow-wave sleep, hippocampal ripples, microelectrode recording, epilepsy patients, memory consolidation, cortical synchronization, sleep-wake states
- MeSH terms
- Adult, Brain Mapping, Cerebral Cortex, Electrodes, Implanted, Electroencephalography, Epilepsy, Evoked Potentials, Female, Hippocampus, Humans, Male, Microelectrodes, Sleep, Polysomnography
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