Evidence map›Paper›PMID 37994368›Full record

ArticlebioRxiv : the preprint server for biology2023

Criticality of resting-state EEG predicts perturbational complexity and level of consciousness during anesthesia.

Charlotte Maschke, Jordan O'Byrne, Michele Angelo Colombo, Melanie Boly, Olivia Gosseries, Steven Laureys, Mario Rosanova, Karim Jerbi, Stefanie Blain-Moraes

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. 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

9 authors at 5 institutions in 5 countries.

Charlotte MaschkeMontreal General Hospital, McGill University Health Centre, Montreal, Canada.ORCID 0000-0002-6105-8471
Jordan O'ByrneCognitive & Computational Neuroscience Lab, Psychology Department, University of Montreal, Québec, Canada.ORCID 0000-0002-4924-4220
Michele Angelo ColomboDepartment of Biomedical and Clinical Sciences, University of Milan, Milan, Italy.
Melanie BolyDepartment of Neurology and Department of Psychiatry, University of Wisconsin, Madison, USA.
Olivia GosseriesComa Science Group, GIGA Consciousness, University of Liège, Liège, Belgium.
Steven LaureysComa Science Group, GIGA Consciousness, University of Liège, Liège, Belgium.
Mario RosanovaDepartment of Biomedical and Clinical Sciences, University of Milan, Milan, Italy.
Karim JerbiCognitive & Computational Neuroscience Lab, Psychology Department, University of Montreal, Québec, Canada.ORCID 0000-0002-3790-9651
Stefanie Blain-MoraesMontreal General Hospital, McGill University Health Centre, Montreal, Canada.ORCID 0000-0001-7837-6700
Mila - Quebec Artificial Intelligence Institute · CAMontreal General Hospital · CAUniversity of Liège · BEUniversity of Milan · ITUniversity of Wisconsin–Madison · US

Funding

electroencephalography and single-unit recordingsK23NS112473 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI BOLY, MELANIE · 2021 to 2025
$815k
NINDS NIH HHS K23 NS112473
6 · The paper itself

Abstract

Consciousness has been proposed to be supported by electrophysiological patterns poised at criticality, a dynamical regime which exhibits adaptive computational properties, maximally complex patterns and divergent sensitivity to perturbation. Here, we investigated dynamical properties of the resting-state electroencephalogram of healthy subjects undergoing general anesthesia with propofol, xenon or ketamine. We then studied the relation of these dynamic properties with the perturbational complexity index (PCI), which has shown remarkably high sensitivity in detecting consciousness independent of behavior. All participants were unresponsive under anesthesia, while consciousness was retained only during ketamine anesthesia (in the form of vivid dreams)., enabling an experimental dissociation between unresponsiveness and unconsciousness. We estimated (i) avalanche criticality, (ii) chaoticity, and (iii) criticality-related measures, and found that states of unconsciousness were characterized by a distancing from both the edge of activity propagation and the edge of chaos. We were then able to predict individual subjects' PCI (i.e., PCI

Identifiers

PMID37994368
PMCPMC10664178
OpenAlexW4388075864

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.