Evidence map›Paper›PMID 25165436›Full record

ArticleFrontiers in systems neuroscience2014

Emergence from general anesthesia and the sleep-manifold.

Darren F Hight, Vera M Dadok, Andrew J Szeri, Paul S García, Logan Voss, Jamie W Sleigh

Open access · goldAbstract read
In one paragraph

Article in Frontiers in systems neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

32 citing papers in PubMed, 47 citations in OpenAlex.

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  5. Hormonal basis of sex differences in anesthetic sensitivity.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

6 authors at 2 institutions in 2 countries.

Darren F HightDepartment of Anaesthesiology, Waikato Clinical School, University of Auckland Hamilton, New Zealand.
Vera M DadokDepartment of Mechanical Engineering and Center for Neural Engineering and Prostheses, University of California Berkeley, CA, USA.
Andrew J SzeriDepartment of Mechanical Engineering and Center for Neural Engineering and Prostheses, University of California Berkeley, CA, USA.
Paul S GarcíaDepartment of Anesthesiology, Atlanta VA Medical Center/Emory University Atlanta, GA, USA.
Logan VossDepartment of Anaesthesiology, Waikato Clinical School, University of Auckland Hamilton, New Zealand.
Jamie W SleighDepartment of Anaesthesiology, Waikato Clinical School, University of Auckland Hamilton, New Zealand.
University of Auckland · NZEmory University · US

Funding

Effects of Antiretrovirals on Neuronal Health: Screening ARVs for NeurotoxicityIK2BX001677 · VA · VETERANS HEALTH ADMINISTRATION · PI GARCIA, PAUL S · 2014 to 2018
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BLRD VA IK2 BX001677
6 · The paper itself

Abstract

The electroencephalogram (EEG) during the re-establishment of consciousness after general anesthesia and surgery varies starkly between patients. Can the EEG during this emergence period provide a means of estimating the underlying biological processes underpinning the return of consciousness? Can we use a model to infer these biological processes from the EEG patterns? A frontal EEG was recorded from 84 patients. Ten patients were chosen for state-space analysis. Five showed archetypal emergences; which consisted of a progressive decrease in alpha power and increase peak alpha frequency before return of responsiveness. The five non-archetypal emergences showed almost no spectral EEG changes (even as the volatile general anesthetic decreased) and then an abrupt return of responsiveness. We used Bayesian methods to estimate the likelihood of an EEG pattern corresponding to the position of the patient on a 2-dimensional manifold in a state space of excitatory connection strength vs. change in intrinsic resting neuronal membrane conductivity. We could thus visualize the trajectory of each patient in the state-space during their emergence period. The patients who followed an archetypal emergence displayed a very consistent pattern; consisting of progressive increase in conductivity, and a temporary period of increased connection strength before return of responsiveness. The non-archetypal emergence trajectories remained fixed in a region of phase space characterized by a relatively high conductivity and low connection strength throughout emergence. This unexpected progressive increase in conductivity during archetypal emergence may be due to an abating of the surgical stimulus during this period. Periods of high connection strength could represent forays into dissociated consciousness, but the model suggests all patients reposition near the fold in the state space to take advantage of bi-stable cortical dynamics before transitioning to consciousness.

Indexed as

connection strengthemergencegeneral anesthesiaresting membrane conductivitysleep-manifold

Identifiers

PMID25165436
PMCPMC4131673
OpenAlexW2012121549

What OpenQuestion holds

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LicenceCC BY
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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.