Unravelling consciousness and brain function through the lens of time, space, and information.

anaesthesia brain dynamics computational modelling decomposition psychedelic structure–function coupling

Journal

Trends in neurosciences
ISSN: 1878-108X
Titre abrégé: Trends Neurosci
Pays: England
ID NLM: 7808616

Informations de publication

Date de publication:
31 May 2024
Historique:
received: 15 02 2024
revised: 29 04 2024
accepted: 09 05 2024
medline: 2 6 2024
pubmed: 2 6 2024
entrez: 1 6 2024
Statut: aheadofprint

Résumé

Disentangling how cognitive functions emerge from the interplay of brain dynamics and network architecture is among the major challenges that neuroscientists face. Pharmacological and pathological perturbations of consciousness provide a lens to investigate these complex challenges. Here, we review how recent advances about consciousness and the brain's functional organisation have been driven by a common denominator: decomposing brain function into fundamental constituents of time, space, and information. Whereas unconsciousness increases structure-function coupling across scales, psychedelics may decouple brain function from structure. Convergent effects also emerge: anaesthetics, psychedelics, and disorders of consciousness can exhibit similar reconfigurations of the brain's unimodal-transmodal functional axis. Decomposition approaches reveal the potential to translate discoveries across species, with computational modelling providing a path towards mechanistic integration.

Identifiants

pubmed: 38824075
pii: S0166-2236(24)00087-0
doi: 10.1016/j.tins.2024.05.007
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests The authors have no competing interests to declare.

Auteurs

Andrea I Luppi (AI)

Division of Anaesthesia, University of Cambridge, Cambridge, UK; Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK; Montreal Neurological Institute, McGill University, Montreal, QC, Canada; St John's College, University of Cambridge, Cambridge, UK; Center for Eudaimonia and Human Flourishing, Linacre College, University of Oxford, Oxford, UK. Electronic address: al857@cam.ac.uk.

Fernando E Rosas (FE)

Center for Eudaimonia and Human Flourishing, Linacre College, University of Oxford, Oxford, UK; Department of Informatics, University of Sussex, Brighton, UK; Center for Psychedelic Research, Imperial College London, London, UK.

Pedro A M Mediano (PAM)

Department of Computing, Imperial College London, London, UK.

Athena Demertzi (A)

Physiology of Cognition Lab, GIGA-Cyclotron Research Center In Vivo Imaging, University of Liège, Liège 4000, Belgium; Psychology and Neuroscience of Cognition Research Unit, University of Liège, Liège 4000, Belgium; National Fund for Scientific Research (FNRS), Brussels 1000, Belgium.

David K Menon (DK)

Division of Anaesthesia, University of Cambridge, Cambridge, UK.

Emmanuel A Stamatakis (EA)

Division of Anaesthesia, University of Cambridge, Cambridge, UK; Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.

Classifications MeSH