Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness.
Journal
PLoS computational biology
ISSN: 1553-7358
Titre abrégé: PLoS Comput Biol
Pays: United States
ID NLM: 101238922
Informations de publication
Date de publication:
07 2021
07 2021
Historique:
received:
22
11
2020
accepted:
01
06
2021
entrez:
27
7
2021
pubmed:
28
7
2021
medline:
3
11
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 34314430
doi: 10.1371/journal.pcbi.1009139
pii: PCOMPBIOL-D-20-02102
pmc: PMC8315553
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e1009139Subventions
Organisme : NIA NIH HHS
ID : R01 AG057234
Pays : United States
Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
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