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

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....

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Autores principales:	Yonatan Sanz Perl, Carla Pallavicini, Ignacio Pérez Ipiña, Athena Demertzi, Vincent Bonhomme, Charlotte Martial, Rajanikant Panda, Jitka Annen, Agustin Ibañez, Morten Kringelbach, Gustavo Deco, Helmut Laufs, Jacobo Sitt, Steven Laureys, Enzo Tagliazucchi
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/9a925f8298be412590bb0396913d2c7b
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spelling	oai:doaj.org-article:9a925f8298be412590bb0396913d2c7b2021-12-02T19:57:30ZPerturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness.1553-734X1553-735810.1371/journal.pcbi.1009139https://doaj.org/article/9a925f8298be412590bb0396913d2c7b2021-07-01T00:00:00Zhttps://doi.org/10.1371/journal.pcbi.1009139https://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Consciousness 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.Yonatan Sanz PerlCarla PallaviciniIgnacio Pérez IpiñaAthena DemertziVincent BonhommeCharlotte MartialRajanikant PandaJitka AnnenAgustin IbañezMorten KringelbachGustavo DecoHelmut LaufsJacobo SittSteven LaureysEnzo TagliazucchiPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 17, Iss 7, p e1009139 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Yonatan Sanz Perl Carla Pallavicini Ignacio Pérez Ipiña Athena Demertzi Vincent Bonhomme Charlotte Martial Rajanikant Panda Jitka Annen Agustin Ibañez Morten Kringelbach Gustavo Deco Helmut Laufs Jacobo Sitt Steven Laureys Enzo Tagliazucchi Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness.
description	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.
format	article
author	Yonatan Sanz Perl Carla Pallavicini Ignacio Pérez Ipiña Athena Demertzi Vincent Bonhomme Charlotte Martial Rajanikant Panda Jitka Annen Agustin Ibañez Morten Kringelbach Gustavo Deco Helmut Laufs Jacobo Sitt Steven Laureys Enzo Tagliazucchi
author_facet	Yonatan Sanz Perl Carla Pallavicini Ignacio Pérez Ipiña Athena Demertzi Vincent Bonhomme Charlotte Martial Rajanikant Panda Jitka Annen Agustin Ibañez Morten Kringelbach Gustavo Deco Helmut Laufs Jacobo Sitt Steven Laureys Enzo Tagliazucchi
author_sort	Yonatan Sanz Perl
title	Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness.
title_short	Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness.
title_full	Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness.
title_fullStr	Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness.
title_full_unstemmed	Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness.
title_sort	perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/9a925f8298be412590bb0396913d2c7b
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Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness.

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