Criticality of resting-state EEG predicts perturbational complexity and level of consciousness during anesthesia.
Journal
bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187
Informations de publication
Date de publication:
31 Oct 2023
31 Oct 2023
Historique:
medline:
23
11
2023
pubmed:
23
11
2023
entrez:
23
11
2023
Statut:
epublish
Résumé
Consciousness has been proposed to be supported by electrophysiological patterns poised at criticality, a dynamical regime which exhibits adaptive computational properties, maximally complex patterns and divergent sensitivity to perturbation. Here, we investigated dynamical properties of the resting-state electroencephalogram of healthy subjects undergoing general anesthesia with propofol, xenon or ketamine. We then studied the relation of these dynamic properties with the perturbational complexity index (PCI), which has shown remarkably high sensitivity in detecting consciousness independent of behavior. All participants were unresponsive under anesthesia, while consciousness was retained only during ketamine anesthesia (in the form of vivid dreams)., enabling an experimental dissociation between unresponsiveness and unconsciousness. We estimated (i) avalanche criticality, (ii) chaoticity, and (iii) criticality-related measures, and found that states of unconsciousness were characterized by a distancing from both the edge of activity propagation and the edge of chaos. We were then able to predict individual subjects' PCI (i.e., PCI
Identifiants
pubmed: 37994368
doi: 10.1101/2023.10.26.564247
pmc: PMC10664178
pii:
doi:
Types de publication
Preprint
Langues
eng
Subventions
Organisme : NINDS NIH HHS
ID : K23 NS112473
Pays : United States
Déclaration de conflit d'intérêts
Competing Interest Statement: None
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