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Slow brain oscillations of sleep, resting state, and vigilance
Abstract
The most important quest of cognitive neuroscience may be to unravel the mechanisms by which the brain selects, links, consolidates, and integrates new information into its neuronal network, while preventing saturation to occur. During the past decade, neuroscientists working within several disciplines have observed an important involvement of the specific types of brain oscillations that occur during sleep--the cortical slow oscillations; during the resting state--the fMRI resting state networks including the default-mode network (DMN); and during task performance--the performance modulations that link as well to modulations in electroencephalography or magnetoencephalography frequency content. Understanding the role of these slow oscillations thus appears to be essential for our fundamental understanding of brain function. Brain activity is characterized by oscillations occurring in spike frequency, field potentials or blood oxygen level-dependent functional magnetic resonance imaging signals. Environmental stimuli, reaching the brain through our senses, activate or inactivate neuronal populations and modulate ongoing activity. The effect they sort is to a large extent determined by the momentary state of the slow endogenous oscillations of the brain. In the absence of sensory input, as is the case during rest or sleep, brain activity does not cease. Rather, its oscillations continue and change with respect to their dominant frequencies and coupling topography. This chapter…
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During human NREM sleep, the EEG exhibits low-frequency (<4 Hz) oscillatory dynamics that support memory and neural computation.
“During human non-rapid eye movement (NREM) sleep, the electroencephalogram (EEG) exhibits low-frequency (<4 Hz) oscillatory dynamics that support memory and neural computation (1-8).”
From Coupled electrophysiological, hemodynamic, and cerebrospinal fluid oscillations in human sleep (2019) · cites this paper as [6]
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Metadata
- Authors
- Van Someren, E. J. W., Van Der Werf, Y. D., Roelfsema, P. R., Mansvelder, H. D., & Lopes da Silva, F. H.
- Affiliations
- Netherlands Institute for Neuroscience (NL)
- Vrije Universiteit Amsterdam (NL)
- Venue
- Progress in Brain Research
- Publisher
- Elsevier
- Published
- 2011
- Volume
- 193
- Pages
- 3-15
- ISSN
- 0079-6123 (ISSN-L)
- OpenAlex
- W1566711605
- Cited by
- 58
- References
- 22
- Citations by year
- 2026: 4 · 2025: 2 · 2024: 2 · 2023: 2 · 2022: 4 · 2021: 7 · 2020: 3 · 2019: 4 · 2018: 3 · 2017: 2 · 2016: 5 · 2015: 4 · 2014: 8 · 2013: 4 · 2012: 3
- FWCI
- 10.45
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Progress in brain research (publishedVersion)
- PubMed (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- KNAW Research Portal (The Royal Netherlands Academy of Arts and Sciences) (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Pure Amsterdam UMC (submittedVersion)
- VU Research Portal (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- sleep, resting state, sustained attention, default mode network, resting-state networks, memory consolidation, neuroplasticity, consciousness, cognitive performance
- MeSH terms
- Brain, Cerebral Cortex, Humans, Neurons, Sleep, Sleep Stages
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