CoChat
Sign Up
Cited by 79Sleep and Wakefulness ResearchSleep and related disordersEEG and Brain-Computer Interfaces

Slow eye movements and EEG power spectra during wake-sleep transition

De Gennaro, Luigi, Ferrara, Michele, Ferlazzo, Fabio, Bertini, Mario·2000·Clinical Neurophysiology
DOI 10.1016/s1388-2457(00)00476-4
Open this paper in CoChat — free account

Abstract

Objective The aim of the present study was to assess the relationship between slow eye movements (SEMs) and quantitative EEG measures during the wake-sleep transition. Methods Individual distributions were aligned with respect to the onset of stage 2 to provide an unequivocal hallmark of the beginning of sleep and to reduce the sources of variability in this transition. The relationship between EEG spectral powers and EOG changes was assessed by means of product-moment correlations and bootstrap analyses for individual time series, and by means of a multiple regression analysis for the entire sample. Results Results on the individual distributions as well as on averaged data showed a tight relationship between SEMs and EEG changes, negative across the 1-14 Hz frequency range and positive across the 15-30 Hz one. Spectral power in the sigma EEG band, that corresponds to the frequency at the phasic sleep spindles, resulted as the best predictor of SEM variations, being negatively correlated to the EOG changes. With respect to the other EEG frequency bands, the split half of the distributions with respect to stage 2 onset indicated a positive correlation of delta power with the increase of SEM activity before sleep onset, and of beta power with the decrease of SEMs after sleep onset. Conclusions These results seem to suggest that sleep spindles could trigger the reduction and the final disappearance of slow eye movements in the late part of the wake-sleep transition.

Integrity signals

Registry

Crossref · 10.1016/s1388-2457(00)00476-4

Cites

35 of 35 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • There is a reciprocal relationship between spindles and SWA such that while SWA progressively decreases across nocturnal sleep in humans, sleep spindles and power in the 12-15 Hz sigma band tend to increase.

    “There is a reciprocal relationship between spindles and SWA such that while SWA progressively decreases across nocturnal sleep in humans, sleep spindles and power in the 12-15 Hz (”

    From About Sleep's Role in Memory (2013) · cites this paper as [442]

Cites

Flagged first, then by citations

1 of the 36 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Related

Authors
De Gennaro, L., Ferrara, M., Ferlazzo, F., & Bertini, M.
Affiliations
Sapienza University of Rome (IT)
ORCID
Ferlazzo, Fabio
Venue
Clinical Neurophysiology
Publisher
Elsevier BV
Published
2000-12
Volume
111
Issue
12
Pages
2107-2115
ISSN
1388-2457 (ISSN-L)
DOI
10.1016/s1388-2457(00)00476-4
OpenAlex
W1975554991
Cited by
78
References
36
Citations by year
2026: 1 · 2025: 3 · 2024: 2 · 2023: 3 · 2022: 3 · 2021: 1 · 2020: 1 · 2019: 1 · 2018: 2 · 2017: 8 · 2016: 4 · 2015: 3 · 2014: 5 · 2013: 2 · 2012: 4
FWCI
0.57
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Clinical Neurophysiology (publishedVersion)
  • PubMed (publishedVersion)
  • IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
Keywords
slow eye movements, wake-sleep transition, EEG power spectra, sleep onset, sleep spindles, sigma band, delta power, beta power, electrooculography
MeSH terms
Adult, Brain, Electroencephalography, Eye Movements, Humans, Male, Sleep, Wakefulness, Polysomnography

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