Cited by 49Sleep and Wakefulness ResearchNeural dynamics and brain functionSleep and related disorders

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Infraslow oscillations in human sleep spindle activity

Open access
Lázár, Zsolt I., Dijk, Derk-Jan, Lázár, Alpár S.·2019·Journal of Neuroscience Methods

Abstract

BACKGROUND: It has previously been reported that EEG sigma (10-15 Hz) activity during sleep exhibits infraslow oscillations (ISO) with a period of 50 s. However, a detailed analysis of the ISO of individually identified sleep spindles is not available. NEW METHOD: We investigated basic properties of ISO during baseline sleep of 34 healthy young human participants using new and established methods. The analyses focused on fast sleep spindle and sigma activity (13-15 Hz) in NREM stage 2 and slow wave sleep (SWS). To describe ISO in sigma activity we analyzed power of power of the EEG signal. For the study of ISO in sleep spindle activity we applied a new method in which the EEG signal was reduced to a spindle on/off binary square signal. Its spectral properties were contrasted to that of a square signal wherein the same spindles and also the inter spindle intervals were permutated randomly. This approach was validated using surrogate data with imposed ISO modulation. RESULTS: We confirm the existence of ISO in sigma activity albeit with a frequency below the previously reported 0.02 Hz. These ISO are most prominent in the high sigma band and over the centro-parieto-occipital regions. A similar modulation is present in spindle activity. ISO in sleep spindles are most prominent in the centro-parieto-occipital regions, left hemisphere and second half of the night independent of the number of spindles. CONCLUSIONS: The comparison of spectral properties of binary event signals and permutated event signals is effective in detecting slow oscillatory phenomena.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jneumeth.2018.12.002

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

  • Infraslow oscillatory dynamics in sleep spindle activity are conserved across rodent and human NREM sleep.

    “the infraslow oscillatory dynamics in sleep spindle activity are conserved across rodent and human NREM sleep108,109”

    From Norepinephrine-mediated slow vasomotion drives glymphatic clearance during sleep (2025) · cites this paper as [109]

    The Results (Spindle event based study; page unavailable) identify infraslow modulation of fast sleep spindles during human NREM stage 2 sleep. The Discussion (Comparison with previous studies; page unavailable) says these features resemble those described by Lecci et al. (2017), but the cited paper does not establish that spindle dynamics are conserved across rodent and human NREM sleep. (LLM, conf=0.82)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 29

  1. Achermann, 1997, Low-frequency (<1 Hz) oscillations in the human sleep electroencephalogram, Neuroscience, 81, 213, 10.1016/S0306-4522(97)00186-3 · DOI
  2. Albrecht, 1998, Very slow oscillatory activities in lateral geniculate neurons of freely moving and anesthetized rats, Neurosci. Res., 32, 209, 10.1016/S0168-0102(98)00087-X · DOI
  3. Atherton, 2016, Slow wave sleep and accelerated forgetting, Cortex, 84, 80, 10.1016/j.cortex.2016.08.013 · DOI
  4. Bódizs, 2009, The individual adjustment method of sleep spindle analysis: methodological improvements and roots in the fingerprint paradigm, J. Neurosci. Methods, 178, 205, 10.1016/j.jneumeth.2008.11.006 · DOI
  5. Bódizs, 2017, The hemispheric lateralization of sleep spindles in humans, Sleep Spindl. Cortical Up States, 1, 42, 10.1556/2053.01.2017.002 · DOI
  6. Bal, 1996, What stops synchronized thalamocortical oscillations?, Neuron, 17, 297, 10.1016/S0896-6273(00)80161-0 · DOI
  7. Canolty, 2010, The functional role of cross-frequency coupling, Trends Cogn. Sci., 14, 506, 10.1016/j.tics.2010.09.001 · DOI · Paper page
  8. De Gennaro, 2003, Sleep spindles: an overview, Sleep Med. Rev., 7, 423, 10.1053/smrv.2002.0252 · DOI
  9. Dijk, 1993, Dynamics of electroencephalographic sleep spindles and slow wave activity in men: effect of sleep deprivation, Brain Res., 626, 190, 10.1016/0006-8993(93)90579-C · DOI · Paper page
  10. Hyafil, 2015, Neural cross-frequency coupling: connecting architectures, mechanisms, and functions, Trends Neurosci., 38, 725, 10.1016/j.tins.2015.09.001 · DOI
  11. Lüthi, 1998, Periodicity of thalamic synchronized oscillations: the role of Ca2+-mediated upregulation of I-h, Neuron, 20, 553, 10.1016/S0896-6273(00)80994-0 · DOI
  12. Lázár, 2015, Circadian regulation of slow waves in human sleep: topographical aspects, Neuroimage, 116, 123, 10.1016/j.neuroimage.2015.05.012 · DOI
  13. Lüthi, 1999, Modulation of a pacemaker current through Ca2+-induced stimulation of cAMP production, Nat. Neurosci., 2, 634, 10.1038/10189 · DOI
  14. Leresche, 1991, Low-frequency oscillatory activities intrinsic to rat and cat thalamocortical cells, J. Physiol. Lond., 441, 155, 10.1113/jphysiol.1991.sp018744 · DOI
  15. Mölle, 2002, Grouping of spindle activity during slow oscillations in human non-rapid eye movement sleep, J. Neurosci., 22, 10941, 10.1523/JNEUROSCI.22-24-10941.2002 · DOI · Paper page
  16. McClellan, 1973, A unified approach to the design of optimum fir linear-phase digital filters, IEEE Trans. Circuit Theory, 20, 697, 10.1109/TCT.1973.1083764 · DOI
  17. Nir, 2008, Interhemispheric correlations of slow spontaneous neuronal fluctuations revealed in human sensory cortex, Nat. Neurosci., 11, 1100, 10.1038/nn.2177 · DOI
  18. O’Reilly, 2014, Assessing EEG sleep spindle propagation. Part 2: Experimental characterization, J. Neurosci. Methods, 221, 215, 10.1016/j.jneumeth.2013.08.014 · DOI
  19. Parrino, 2012, Cyclic alternating pattern (CAP): the marker of sleep instability, Sleep Med. Rev., 16, 27, 10.1016/j.smrv.2011.02.003 · DOI
  20. Picchioni, 2011, Infraslow EEG oscillations organize large-scale cortical-subcortical interactions during sleep: a combined EEG/fMRI study, Brain Res., 1374, 63, 10.1016/j.brainres.2010.12.035 · DOI
  21. Schabus, 2007, Hemodynamic cerebral correlates of sleep spindles during human non-rapid eye movement sleep, Proc. Natl. Acad. Sci., 104, 13164, 10.1073/pnas.0703084104 · DOI · Paper page
  22. Sejdić, 2009, Time-frequency feature representation using energy concentration: an overview of recent advances, Digit. Signal Process., 19, 153, 10.1016/j.dsp.2007.12.004 · DOI
  23. Steriade, 1995, Relations between cortical and thalamic cellular events during transition from sleep patterns to paroxysmal activity, J. Neurosci., 15, 623, 10.1523/JNEUROSCI.15-01-00623.1995 · DOI
  24. Steriade, 1993, A novel slow (less-than-1 Hz) oscillation of neocortical neurons in-vivo – depolarizing and hyperpolarizing components, J. Neurosci., 13, 3252, 10.1523/JNEUROSCI.13-08-03252.1993 · DOI · Paper page
  25. Vanhatalo, 2004, Infraslow oscillations modulate excitability and interictal epileptic activity in the human cortex during sleep, Proc. Natl. Acad. Sci. U. S. A., 101, 5053, 10.1073/pnas.0305375101 · DOI
  26. Warby, 2014, Sleep-spindle detection: crowdsourcing and evaluating performance of experts, non-experts and automated methods, Nat. Methods, 11, 385, 10.1038/nmeth.2855 · DOI
  27. Wei, 1999, Attenuated amplitude of circadian and sleep-dependent modulation of electroencephalographic sleep spindle characteristics in elderly human subjects, Neurosci. Lett., 260, 29, 10.1016/S0304-3940(98)00851-9 · DOI
  28. Yordanova, 2017, Sleep spindles in the right hemisphere support awareness of regularities and reflect pre-sleep activations, Sleep, 40, 10.1093/sleep/zsx151 · DOI
  29. Zhao, 2017, Sleep spindle detection based on non-experts: a validation study, PLOS ONE, 12, e0177437, 10.1371/journal.pone.0177437 · DOI

Cited by

Sorted by citations

Metadata

Authors
Lázár, Z. I., Dijk, D.-J., & Lázár, A. S.
Affiliations
  • Babeș-Bolyai University (RO)
  • University of Surrey (GB)
  • University of East Anglia (GB)
Corresponding author
  • Lázár, Zsolt I.
  • Lázár, Alpár S.
Venue
Journal of Neuroscience Methods
Publisher
Elsevier BV
Published
2019-03
Volume
316
Pages
22-34
ISSN
0165-0270 (ISSN-L)
OpenAlex
W2905282471
Cited by
49
References
7
Citations by year
2026: 12 · 2025: 9 · 2024: 5 · 2023: 6 · 2022: 8 · 2021: 3 · 2020: 3 · 2019: 3
FWCI
1.19
Type
journal article
Language
en
Open access
Locations
  • Journal of Neuroscience Methods (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Surrey Research Insight Open Access (The University of Surrey) (submittedVersion)
  • UEA Digital Repository (University of East Anglia) (submittedVersion)
Funders
  • Biotechnology and Biological Sciences Research Council
  • Romanian National Authority for Scientific Research and Innovation
  • Royal Society-Wolfson Research Merit Award
  • Seed Award in Science from the Wellcome trust
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
infraslow oscillations, sleep spindles, slow-wave sleep, surrogate data, interspike intervals, hemispheric lateralization, sleep EEG
MeSH terms
Sleep, Slow-Wave, Adult, Electroencephalography, Female, Humans, Male, Sleep Stages, Young Adult, Brain Waves

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