Evidence map›Paper›PMID 37027802›Full record

ArticleAnesthesiology2023

Measures of Information Content during Anesthesia and Emergence in the Caenorhabditis elegans Nervous System.

Andrew S Chang, Gregory S Wirak, Duan Li, Christopher V Gabel, Christopher W Connor

Open access · bronzeAbstract read
In one paragraph

Article in Anesthesiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Neuronal Dynamics During Isoflurane Induction inbioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 3 countries.

Andrew S ChangDepartment of Physiology and Biophysics, Boston University School of Medicine, Boston University, Boston, Massachusetts.
Gregory S WirakDepartment of Physiology and Biophysics, Boston University, Boston, Massachusetts.
Duan LiCenter for Consciousness Science, Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan.
Christopher V GabelDepartment of Physiology and Biophysics, Boston University, Boston, Massachusetts.
Christopher W ConnorDepartment of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Boston, Massachusetts; Department of Biomedical Engineering, Physiology and Biophysics, Boston University, Boston, Massachusetts.ORCID 0000-0003-1735-641X
Boston University · USBrigham and Women's Hospital · USSchool of the Art Institute of Chicago · US

Funding

Pan-neuronal functional imaging and anesthesiaR35GM145319 · NIGMS · BRIGHAM AND WOMEN'S HOSPITAL · PI Christopher W Connor · 2022 to 2026
$1.8M
Pan-neuronal functional imaging and anesthesiaR01GM121457 · NIGMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CONNOR, CHRISTOPHER W · 2017 to 2021
$1.7M
NIGMS NIH HHS R01 GM121457NIGMS NIH HHS R35 GM145319
6 · The paper itself

Abstract

backgroundSuppression of behavioral and physical responses defines the anesthetized state. This is accompanied, in humans, by characteristic changes in electroencephalogram patterns. However, these measures reveal little about the neuron or circuit-level physiologic action of anesthetics nor how information is trafficked between neurons. This study assessed whether entropy-based metrics can differentiate between the awake and anesthetized state in Caenorhabditis elegans and characterize emergence from anesthesia at the level of interneuronal communication.

methodsVolumetric fluorescence imaging measured neuronal activity across a large portion of the C. elegans nervous system at cellular resolution during distinct states of isoflurane anesthesia, as well as during emergence from the anesthetized state. Using a generalized model of interneuronal communication, new entropy metrics were empirically derived that can distinguish the awake and anesthetized states.

resultsThis study derived three new entropy-based metrics that distinguish between stable awake and anesthetized states (isoflurane, n = 10) while possessing plausible physiologic interpretations. State decoupling is elevated in the anesthetized state (0%: 48.8 ± 3.50%; 4%: 66.9 ± 6.08%; 8%: 65.1 ± 5.16%; 0% vs. 4%, P < 0.001; 0% vs. 8%, P < 0.001), while internal predictability (0%: 46.0 ± 2.94%; 4%: 27.7 ± 5.13%; 8%: 30.5 ± 4.56%; 0% vs. 4%, P < 0.001; 0% vs. 8%, P < 0.001), and system consistency (0%: 2.64 ± 1.27%; 4%: 0.97 ± 1.38%; 8%: 1.14 ± 0.47%; 0% vs. 4%, P = 0.006; 0% vs. 8%, P = 0.015) are suppressed. These new metrics also resolve to baseline during gradual emergence of C. elegans from moderate levels of anesthesia to the awake state (n = 8). The results of this study show that early emergence from isoflurane anesthesia in C. elegans is characterized by the rapid resolution of an elevation in high frequency activity (n = 8, P = 0.032). The entropy-based metrics mutual information and transfer entropy, however, did not differentiate well between the awake and anesthetized states.

conclusionsNovel empirically derived entropy metrics better distinguish the awake and anesthetized states compared to extant metrics and reveal meaningful differences in information transfer characteristics between states. EDITOR’S PERSPECTIVE:

Indexed as

AnesthesiaAnesthetics, InhalationIsofluraneAnimalsCaenorhabditis elegansHumansNeuronsAnesthetics, InhalationIsoflurane

Identifiers

PMID37027802
PMCPMC10266588
OpenAlexW4362704199

What OpenQuestion holds

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Registered trials

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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.