Evidence map›Paper›PMID 35013431›Full record

ArticleScientific reports2022

Region-specific complexity of the intracranial EEG in the sleeping human brain.

Elzbieta Olejarczyk, Jean Gotman, Birgit Frauscher

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Review
  3. Cognitive Processing and EEG Complexity.Entropy (Basel, Switzerland) · 2026
    Review
  4. Clusters in Thalamic iEEG Spectral Features Reveal Sleep/Wake Differences Over Time.Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. An EEG Signature of MCH Neuron Activities Predicts Cocaine Seeking.bioRxiv : the preprint server for biology · 2024
    Article
  13. Review
  14. Clinical Sensitivity of Fractal Neurodynamics.Advances in neurobiology · 2024
    Article
  15. Article
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Elzbieta OlejarczykNalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Trojdena 4 Str., 02-109, Warsaw, Poland. eolejarczyk@ibib.waw.pl.
Jean GotmanMontreal Neurological Institute and Hospital, McGill University, Montreal, QC, H3A 2B4, Canada.
Birgit FrauscherMontreal Neurological Institute and Hospital, McGill University, Montreal, QC, H3A 2B4, Canada.
McGill University · CAMontreal Neurological Institute and Hospital · CA

Funding

the Fonds de Recherche du Québec - Santé Chercheur-boursier clinicien Senior" award of the Fonds de Recherche du Québec - Santé 2021-2025.the Natural Sciences and Engineering Research Council of Canada RGPIN-2020-04127 and RGPAS-2020-00021
6 · The paper itself

Abstract

As the brain is a complex system with occurrence of self-similarity at different levels, a dedicated analysis of the complexity of brain signals is of interest to elucidate the functional role of various brain regions across the various stages of vigilance. We exploited intracranial electroencephalogram data from 38 cortical regions using the Higuchi fractal dimension (HFD) as measure to assess brain complexity, on a dataset of 1772 electrode locations. HFD values depended on sleep stage and topography. HFD increased with higher levels of vigilance, being highest during wakefulness in the frontal lobe. HFD did not change from wake to stage N2 in temporo-occipital regions. The transverse temporal gyrus was the only area in which the HFD did not differ between any two vigilance stages. Interestingly, HFD of wakefulness and stage R were different mainly in the precentral gyrus, possibly reflecting motor inhibition in stage R. The fusiform and parahippocampal gyri were the only areas showing no difference between wakefulness and N2. Stages R and N2 were similar only for the postcentral gyrus. Topographical analysis of brain complexity revealed that sleep stages are clearly differentiated in fronto-central brain regions, but that temporo-occipital regions sleep differently.

Indexed as

ElectrocorticographyArousalBrainHumansSleep Stages

Identifiers

PMID35013431
PMCPMC8748934
OpenAlexW4205800843

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.