Evidence map›Paper›PMID 30894626›Full record

ArticleScientific reports2019

Single-trial classification of awareness state during anesthesia by measuring critical dynamics of global brain activity.

Leandro M Alonso, Guillermo Solovey, Toru Yanagawa, Alex Proekt, Guillermo A Cecchi, Marcelo O Magnasco

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  10. Reconciling Current Theories of Consciousness.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  11. Article
  12. Article
  13. General Anesthesia: A Probe to Explore Consciousness.Frontiers in systems neuroscience · 2019
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 3 countries.

Leandro M AlonsoLaboratory of integrative neuroscience, The Rockefeller University, New York, NY, 10065, USA. lalonso@brandeis.edu.ORCID 0000-0001-8211-2855
Guillermo SoloveyInstituto del Cálculo, FCEyN, Universidad de Buenos Aires, (C1428EGA), Buenos Aires, Argentina. gsolovey@gmail.com.
Toru YanagawaLaboratory for Adaptive Intelligence, Brain Science Institute, RIKEN, Saitama, 351-0198, Japan.
Alex ProektAnesthesiology and Critical Care, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Guillermo A CecchiIBM, Thomas J. Watson Research Center, Yorktown Heights, NY, USA.ORCID 0000-0003-1013-8348
Marcelo O MagnascoLaboratory of integrative neuroscience, The Rockefeller University, New York, NY, 10065, USA.
Brandeis University · USIBM Research - Thomas J. Watson Research Center · USRIKEN Center for Brain Science · JPUniversidad de Buenos Aires · ARUniversity of Pennsylvania · US

Funding

Neurophysiological Mechanisms of Recovery of ConsciousnessR01GM124023 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI PROEKT, ALEXANDER · 2018 to 2022
$1.8M
NIGMS NIH HHS R01 GM124023
6 · The paper itself

Abstract

In daily life, in the operating room and in the laboratory, the operational way to assess wakefulness and consciousness is through responsiveness. A number of studies suggest that the awake, conscious state is not the default behavior of an assembly of neurons, but rather a very special state of activity that has to be actively maintained and curated to support its functional properties. Thus responsiveness is a feature that requires active maintenance, such as a homeostatic mechanism to balance excitation and inhibition. In this work we developed a method for monitoring such maintenance processes, focusing on a specific signature of their behavior derived from the theory of dynamical systems: stability analysis of dynamical modes. When such mechanisms are at work, their modes of activity are at marginal stability, neither damped (stable) nor exponentially growing (unstable) but rather hovering in between. We have previously shown that, conversely, under induction of anesthesia those modes become more stable and thus less responsive, then reversed upon emergence to wakefulness. We take advantage of this effect to build a single-trial classifier which detects whether a subject is awake or unconscious achieving high performance. We show that our approach can be developed into a means for intra-operative monitoring of the depth of anesthesia, an application of fundamental importance to modern clinical practice.

Indexed as

AnesthesiaAnimalsAwarenessBrainConsciousnessCortical ExcitabilityElectrocorticographyElectrodes, ImplantedHaplorhiniHypnotics and SedativesKetamineMaleMonitoring, IntraoperativeNeural InhibitionNeuronsPropofolHypnotics and SedativesKetaminePropofol

Identifiers

PMID30894626
PMCPMC6426977
OpenAlexW2923636275

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.