Evidence map›Paper›PMID 38374047›Full record

ArticleNature communications2024

A neurophysiological basis for aperiodic EEG and the background spectral trend.

Niklas Brake, Flavie Duc, Alexander Rokos, Francis Arseneau, Shiva Shahiri, Anmar Khadra, Gilles Plourde

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 1 pooled it
38.4field-weighted citation impact, top 1% 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

78 citing papers in PubMed, 1 synthesis or guideline pooled it, 114 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Baseline electrophysiology versus oxidative metabolism as traits of inter-network differences in neurometabolic association.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Local Field Aperiodic Spectral Power Modulated by Deep Brain Stimulation in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2026
    Article

18 more citing papers are in PubMed but not listed here.

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

7 authors at 1 institution in 1 country.

Niklas BrakeQuantiative Life Sciences PhD Program, McGill University, Montreal, Canada.ORCID 0000-0002-4256-2832
Flavie DucDepartment of Anesthesia, McGill University, Montreal, Canada.
Alexander RokosDepartment of Anesthesia, McGill University, Montreal, Canada.ORCID 0000-0001-5065-203X
Francis ArseneauDepartment of Anesthesia, McGill University, Montreal, Canada.
Shiva ShahiriSchool of Nursing, McGill University, Montreal, Canada.ORCID 0000-0002-7149-447X
Anmar KhadraDepartment of Physiology, McGill University, Montreal, Canada. anmar.khadra@mcgill.ca.ORCID 0000-0002-8228-9914
Gilles PlourdeDepartment of Anesthesia, McGill University, Montreal, Canada. gilles.plourde@mcgill.ca.ORCID 0000-0001-8231-2259
McGill University · CA

Funding

Gouvernement du Canada | Natural Sciences and Engineering Research Council of Canada (Conseil de Recherches en Sciences Naturelles et en Génie du Canada) RGPIN-2019-04520
6 · The paper itself

Abstract

Electroencephalograms (EEGs) display a mixture of rhythmic and broadband fluctuations, the latter manifesting as an apparent 1/f spectral trend. While network oscillations are known to generate rhythmic EEG, the neural basis of broadband EEG remains unexplained. Here, we use biophysical modelling to show that aperiodic neural activity can generate detectable scalp potentials and shape broadband EEG features, but that these aperiodic signals do not significantly perturb brain rhythm quantification. Further model analysis demonstrated that rhythmic EEG signals are profoundly corrupted by shifts in synapse properties. To examine this scenario, we recorded EEGs of human subjects being administered propofol, a general anesthetic and GABA receptor agonist. Drug administration caused broadband EEG changes that quantitatively matched propofol's known effects on GABA receptors. We used our model to correct for these confounding broadband changes, which revealed that delta power, uniquely, increased within seconds of individuals losing consciousness. Altogether, this work details how EEG signals are shaped by neurophysiological factors other than brain rhythms and elucidates how these signals can undermine traditional EEG interpretation.

Indexed as

Anesthetics, GeneralPropofolBrainConsciousnessElectroencephalographyHumansAnesthetics, GeneralPropofol

Identifiers

PMID38374047
PMCPMC10876973
OpenAlexW4391924280

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.