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Morten L. Kringelbach

Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

  • Yonatan Sanz Perl, Universidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad de San Andrés, Pompeu Fabra University
  • ,
  • Carla Pallavicini, Universidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas, Fundacion Para La Lucha Contra Las Enfermedades Neurologicas de La Infancia
  • ,
  • Ignacio Pérez Ipiña, Universidad de Buenos Aires, Fundacion Para La Lucha Contra Las Enfermedades Neurologicas de La Infancia
  • ,
  • Athena Demertzi, University of Liege
  • ,
  • Vincent Bonhomme, University of Liege, Centre Hospitalier Regional de La Citadelle
  • ,
  • Charlotte Martial, University of Liege
  • ,
  • Rajanikant Panda, University of Liege
  • ,
  • Jitka Annen, University of Liege
  • ,
  • Agustin Ibañez, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad de San Andrés, Universidad Adolfo Ibá Ñez, University of California at San Francisco, Trinity College Dublin
  • ,
  • Morten Kringelbach
  • Gustavo Deco, Pompeu Fabra University, ICREA, Max Planck Institute for Human Cognitive and Brain Sciences, Monash University
  • ,
  • Helmut Laufs, Goethe University Frankfurt, Kiel University
  • ,
  • Jacobo Sitt, Institut du Cerveau et de la Moelle Épinière, Institut National de la Santé et de la Recherche Médicale
  • ,
  • Steven Laureys, University of Liege
  • ,
  • Enzo Tagliazucchi, Universidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Adolfo Ibá Ñez, Kiel University

Consciousness transiently fades away during deep sleep, more stably under anesthesia, and sometimes permanently due to brain injury. The development of an index to quantify the level of consciousness across these different states is regarded as a key problem both in basic and clinical neuroscience. We argue that this problem is ill-defined since such an index would not exhaust all the relevant information about a given state of consciousness. While the level of consciousness can be taken to describe the actual brain state, a complete characterization should also include its potential behavior against external perturbations. We developed and analyzed whole-brain computational models to show that the stability of conscious states provides information complementary to their similarity to conscious wakefulness. Our work leads to a novel methodological framework to sort out different brain states by their stability and reversibility, and illustrates its usefulness to dissociate between physiological (sleep), pathological (brain-injured patients), and pharmacologically-induced (anesthesia) loss of consciousness.

OriginalsprogEngelsk
Artikelnummere1009139
TidsskriftPLOS Computational Biology
Vol/bind17
Nummer7
ISSN1553-734X
DOI
StatusUdgivet - jul. 2021

Bibliografisk note

Publisher Copyright:
© 2021 Sanz Perl et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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