Content-state dimensions characterize different types of neuronal markers of consciousness.

conscious content consciousness disorders of consciousness neuronal markers of consciousness sleep

Journal

Neuroscience of consciousness
ISSN: 2057-2107
Titre abrégé: Neurosci Conscious
Pays: England
ID NLM: 101679109

Informations de publication

Date de publication:
2024
Historique:
received: 08 11 2023
revised: 30 05 2024
accepted: 08 06 2024
medline: 16 7 2024
pubmed: 16 7 2024
entrez: 16 7 2024
Statut: epublish

Résumé

Identifying the neuronal markers of consciousness is key to supporting the different scientific theories of consciousness. Neuronal markers of consciousness can be defined to reflect either the brain signatures underlying specific conscious content or those supporting different states of consciousness, two aspects traditionally studied separately. In this paper, we introduce a framework to characterize markers according to their dynamics in both the "state" and "content" dimensions. The 2D space is defined by the marker's capacity to distinguish the conscious states from non-conscious states (on the

Identifiants

pubmed: 39011546
doi: 10.1093/nc/niae027
pii: niae027
pmc: PMC11246840
doi:

Types de publication

Journal Article

Langues

eng

Pagination

niae027

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press.

Déclaration de conflit d'intérêts

Jacobo D. Sitt and Lionel Naccache are scientific co-founders of NeuroMeters (have scientific advisory activity but no executive or management activity).

Auteurs

Pauline Pérez (P)

Institut du Cerveau - Paris Brain Institute, Inserm, CNRS, Sorbonne Université, Paris 75013, France.
Hospice Civils de Lyon-HCL, Département anesthésie-réanimation, Hôpital Edouard Herriot.
Neuro ICU, DMU Neurosciences, AP-HP, Hôpital de la Pitié Salpêtrière, Paris 75013, France.

Dragana Manasova (D)

Institut du Cerveau - Paris Brain Institute, Inserm, CNRS, Sorbonne Université, Paris 75013, France.
Université Paris Cité, Paris 75006, France.

Bertrand Hermann (B)

Institut du Cerveau - Paris Brain Institute, Inserm, CNRS, Sorbonne Université, Paris 75013, France.
Université Paris Cité, Paris 75006, France.
Medical Intensive Care Unit, HEGP Hôpital, Assistance Publique-Hôpitaux de Paris-Centre (APHP-Centre), Paris 75015, France.

Federico Raimondo (F)

Institut du Cerveau - Paris Brain Institute, Inserm, CNRS, Sorbonne Université, Paris 75013, France.
Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich 52428, Germany.
Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, Dusseldorf 40225, Germany.

Benjamin Rohaut (B)

Institut du Cerveau - Paris Brain Institute, Inserm, CNRS, Sorbonne Université, Paris 75013, France.
Neuro ICU, DMU Neurosciences, AP-HP, Hôpital de la Pitié Salpêtrière, Paris 75013, France.

Tristán A Bekinschtein (TA)

Consciousness and Cognition Lab, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom.

Lionel Naccache (L)

Institut du Cerveau - Paris Brain Institute, Inserm, CNRS, Sorbonne Université, Paris 75013, France.
AP-HP, Hôpital Pitié-Salpêtrière, Service de Neurophysiologie Clinique, Paris 75013, France.

Anat Arzi (A)

Institut du Cerveau - Paris Brain Institute, Inserm, CNRS, Sorbonne Université, Paris 75013, France.
Consciousness and Cognition Lab, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom.
Department of Medical Neurobiology, Institute for Medical Research Israel Canada and Department of Cognitive and Brain Sciences, Hebrew University of Jerusalem, Jerusalem, Israel.

Jacobo D Sitt (JD)

Institut du Cerveau - Paris Brain Institute, Inserm, CNRS, Sorbonne Université, Paris 75013, France.

Classifications MeSH