Cited by 504Sleep and Wakefulness ResearchNeural dynamics and brain functionSleep and related disorders

The DOI matches its Crossref record; 93 of the 93 references it cites were found in a registry or an index.

Sleep Spindles in Humans: Insights from Intracranial EEG and Unit Recordings

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Abstract

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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Crossref · 10.1523/jneurosci.2604-11.2011

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Research works printed but not linked: 3

  1. Dehghani, 2010, Dynamics of excitation and inhibition, and local interactions, during slow wave sleep oscillations in rat prefrontal cortex, Soc Neurosci Abstr, 36, 44
  2. Jones EG (2007) The thalamus (Cambridge UP, Cambridge, UK), Ed 2.
  3. Steriade M (2003) Neuronal substrates of sleep and epilepsy (Cambridge UP, Cambridge, UK), Ed 1.

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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)
Venue
The Journal of Neuroscience
Published
2011-12-07
Volume
31
Issue
49
Pages
17821-17834
ISSN
  • 0270-6474 (ISSN-L)
  • 1529-2401
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
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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