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

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

doi:10.1371/journal.pcbi.1009139

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

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

^*Corresponding author af dette arbejde

Institut for Klinisk Medicin - Center for Music in the Brain

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review

Abstract

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.

Originalsprog	Engelsk
Artikelnummer	e1009139
Tidsskrift	PLOS Computational Biology
Vol/bind	17
Nummer	7
ISSN	1553-734X
DOI	https://doi.org/10.1371/journal.pcbi.1009139
Status	Udgivet - jul. 2021

Adgang til dokumentet

10.1371/journal.pcbi.1009139Licens: CC BY

Andre filer og links

Link to publication in Scopus

Citationsformater

Perl, Y. S., Pallavicini, C., Ipiña, I. P., Demertzi, A., Bonhomme, V., Martial, C., Panda, R., Annen, J., Ibañez, A., Kringelbach, M., Deco, G., Laufs, H., Sitt, J., Laureys, S., & Tagliazucchi, E. (2021). Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness. PLOS Computational Biology, 17(7), Artikel e1009139. https://doi.org/10.1371/journal.pcbi.1009139

@article{602ab2a2b9884be8a3200a6fbcdd613c,

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

abstract = "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. ",

author = "Perl, {Yonatan Sanz} and Carla Pallavicini and Ipi{\~n}a, {Ignacio P{\'e}rez} and Athena Demertzi and Vincent Bonhomme and Charlotte Martial and Rajanikant Panda and Jitka Annen and Agustin Iba{\~n}ez and Morten Kringelbach and Gustavo Deco and Helmut Laufs and Jacobo Sitt and Steven Laureys and Enzo Tagliazucchi",

note = "Publisher Copyright: {\textcopyright} 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.",

year = "2021",

month = jul,

doi = "10.1371/journal.pcbi.1009139",

language = "English",

volume = "17",

journal = "PLOS Computational Biology",

issn = "1553-734X",

publisher = "public library of science",

number = "7",

}

Perl, YS, Pallavicini, C, Ipiña, IP, Demertzi, A, Bonhomme, V, Martial, C, Panda, R, Annen, J, Ibañez, A, Kringelbach, M, Deco, G, Laufs, H, Sitt, J, Laureys, S & Tagliazucchi, E 2021, 'Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness', PLOS Computational Biology, bind 17, nr. 7, e1009139. https://doi.org/10.1371/journal.pcbi.1009139

Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness. / Perl, Yonatan Sanz; Pallavicini, Carla; Ipiña, Ignacio Pérez et al.
I: PLOS Computational Biology, Bind 17, Nr. 7, e1009139, 07.2021.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review

TY - JOUR

T1 - Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness

AU - Perl, Yonatan Sanz

AU - Pallavicini, Carla

AU - Ipiña, Ignacio Pérez

AU - Demertzi, Athena

AU - Bonhomme, Vincent

AU - Martial, Charlotte

AU - Panda, Rajanikant

AU - Annen, Jitka

AU - Ibañez, Agustin

AU - Kringelbach, Morten

AU - Deco, Gustavo

AU - Laufs, Helmut

AU - Sitt, Jacobo

AU - Laureys, Steven

AU - Tagliazucchi, Enzo

N1 - 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.

PY - 2021/7

Y1 - 2021/7

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85111710949&partnerID=8YFLogxK

U2 - 10.1371/journal.pcbi.1009139

DO - 10.1371/journal.pcbi.1009139

M3 - Journal article

C2 - 34314430

AN - SCOPUS:85111710949

SN - 1553-734X

VL - 17

JO - PLOS Computational Biology

JF - PLOS Computational Biology

IS - 7

M1 - e1009139

ER -

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

Abstract

Adgang til dokumentet

Andre filer og links

Fingeraftryk

Citationsformater