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

Sanz Perl, Y., Pallavicini, C., Pérez Ipiña, I., Demertzi, A., Bonhomme, V., Martial, C., et al. (2021). Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness. PLoS Computational Biology, 17(7): e1009139. doi:10.1371/journal.pcbi.1009139.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0009-2903-6 Version Permalink: https://hdl.handle.net/21.11116/0000-000B-2A4E-0
Genre: Journal Article

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 Creators:
Sanz Perl, Yonatan1, 2, 3, 4, Author
Pallavicini, Carla1, 2, 5, Author
Pérez Ipiña, Ignacio1, 5, Author
Demertzi, Athena6, Author
Bonhomme, Vincent7, 8, 9, Author
Martial, Charlotte10, 11, Author
Panda, Rajanikant10, 11, Author
Annen, Jitka10, 11, Author
Ibañez, Agustin2, 3, 12, 13, Author
Kringelbach, Morten14, 15, 16, 17, Author
Deco, Gustavo4, 18, 19, 20, 21, Author           
Laufs, Helmut22, 23, Author
Sitt, Jacobo24, Author
Laureys, Steven10, 11, Author
Tagliazucchi, Enzo1, 2, 12, 23, Author
Affiliations:
1Department of Physics, University of Buenos Aires, Argentina, ou_persistent22              
2National Scientific and Technical Research Council (CONICET), University of Buenos Aires, Argentina, ou_persistent22              
3Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina, ou_persistent22              
4Computational Neuroscience Group, Department of Information and Communication Technologies, Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
5Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI), Buenos Aires, Argentina, ou_persistent22              
6Physiology of Cognition Research Lab, GIGA Institute, University of Liège, Belgium, ou_persistent22              
7Anesthesia and Intensive Care Laboratory, GIGA Institute, University of Liège, Belgium, ou_persistent22              
8Department of Anesthesia and Intensive Care Medicine, Centre Hospitalier Régional de la Citadelle (CHR Citadelle), Liège, Belgium, ou_persistent22              
9Department of Anesthesia and Intensive Care Medicine, Centre Hospitalier Universitaire de Liège (CHU Liège), Belgium, ou_persistent22              
10Coma Science Group, GIGA Institute, University of Liège, Belgium, ou_persistent22              
11Centre du Cerveau², Centre Hospitalier Universitaire de Liège (CHU Liège), Belgium, ou_persistent22              
12Latin American Brain Health Institute (BrainLat), University Adolfo Ibañez, Santiago, Chile, ou_persistent22              
13Global Brain Health Institute (GBHI), University of California, San Francisco, CA, USA, ou_persistent22              
14Department of Psychiatry, University of Oxford, United Kingdom, ou_persistent22              
15Center for Music in the Brain, Aarhus University, Denmark, ou_persistent22              
16ICVS - Life and Health Sciences Research Institute, School of Health Sciences, University of Minho, Braga, Portugal, ou_persistent22              
17Centre for Eudaimonia and Human Flourishing, University of Oxford, United Kingdom, ou_persistent22              
18Department of Information and Communication Technologies, Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
19Catalan Institution for Research and Advanced Studies (ICREA), University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
20Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
21School of Psychological Sciences, Monash University, Melbourne, Australia, ou_persistent22              
22Brain Imaging Center (BIC), Goethe University, Frankfurt, Germany, ou_persistent22              
23Department of Neurology, Christian Albrecht University Kiel, Germany, ou_persistent22              
24Institut du Cerveau et de la Moelle épinière (ICM), Université Paris-Sorbonne, France, ou_persistent22              

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 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.

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Language(s): eng - English
 Dates: 2020-11-222021-06-012021-07-27
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1371/journal.pcbi.1009139
Other: eCollection 2021
PMID: 34314430
PMC: PMC8315553
 Degree: -

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Project name : -
Grant ID : 945539; 101017716
Funding program : Horizon 2020
Funding organization : European Union
Project name : -
Grant ID : 1210195 and 1210176
Funding program : -
Funding organization : Agencia Nacional de Investigación y Desarrollo
Project name : -
Grant ID : 945539
Funding program : Human Brain Project
Funding organization : -
Project name : -
Grant ID : 860563
Funding program : European School of Network Neuroscience
Funding organization : -

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Title: PLoS Computational Biology
Source Genre: Journal
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Publ. Info: San Francisco, CA : Public Library of Science
Pages: - Volume / Issue: 17 (7) Sequence Number: e1009139 Start / End Page: - Identifier: ISSN: 1553-734X
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000017180_1