Dissociations between spontaneous electroencephalographic features and the perturbational complexity index in the minimally conscious state.

MCS PCI alpha delta electroencephalogram

Journal

The European journal of neuroscience
ISSN: 1460-9568
Titre abrégé: Eur J Neurosci
Pays: France
ID NLM: 8918110

Informations de publication

Date de publication:
Mar 2024
Historique:
revised: 21 12 2023
received: 22 03 2023
accepted: 13 02 2024
pubmed: 5 3 2024
medline: 5 3 2024
entrez: 5 3 2024
Statut: ppublish

Résumé

The analysis of spontaneous electroencephalogram (EEG) is a cornerstone in the assessment of patients with disorders of consciousness (DoC). Although preserved EEG patterns are highly suggestive of consciousness even in unresponsive patients, moderately or severely abnormal patterns are difficult to interpret. Indeed, growing evidence shows that consciousness can be present despite either large delta or reduced alpha activity in spontaneous EEG. Quantifying the complexity of EEG responses to direct cortical perturbations (perturbational complexity index [PCI]) may complement the observational approach and provide a reliable assessment of consciousness even when spontaneous EEG features are inconclusive. To seek empirical evidence of this hypothesis, we compared PCI with EEG spectral measures in the same population of minimally conscious state (MCS) patients (n = 40) hospitalized in rehabilitation facilities. We found a remarkable variability in spontaneous EEG features across MCS patients as compared with healthy controls: in particular, a pattern of predominant delta and highly reduced alpha power-more often observed in vegetative state/unresponsive wakefulness syndrome (VS/UWS) patients-was found in a non-negligible number of MCS patients. Conversely, PCI values invariably fell above an externally validated empirical cutoff for consciousness in all MCS patients, consistent with the presence of clearly discernible, albeit fleeting, behavioural signs of awareness. These results confirm that, in some MCS patients, spontaneous EEG rhythms may be inconclusive about the actual capacity for consciousness and suggest that a perturbational approach can effectively compensate for this pitfall with practical implications for the individual patient's stratification and tailored rehabilitation.

Identifiants

pubmed: 38440949
doi: 10.1111/ejn.16299
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

934-947

Subventions

Organisme : Ministero della Salute
ID : GR-2016-02361494
Organisme : Ministero della Salute
ID : Ricerca Corrente 2022-2024
Organisme : European Union's Horizon 2020
ID : 785907
Organisme : European Union's Horizon 2020
ID : 945539
Organisme : Tiny Blue Dot Foundation
Organisme : Fondazione Regionale per la Ricerca Biomedica, Project ERAPERMED2019-101
ID : 779282
Organisme : Canadian Institute for Advanced Research
Organisme : Ministero dell'Università e della Ricerca
ID : PRIN2022

Informations de copyright

© 2024 The Authors. European Journal of Neuroscience published by Federation of European Neuroscience Societies and John Wiley & Sons Ltd.

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Auteurs

Silvia Casarotto (S)

Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy.
IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.

Gabriel Hassan (G)

Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy.

Mario Rosanova (M)

Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy.

Simone Sarasso (S)

Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy.

Chiara-Camilla Derchi (CC)

IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.

Pietro Davide Trimarchi (PD)

IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.

Alessandro Viganò (A)

IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.

Simone Russo (S)

Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy.

Matteo Fecchio (M)

Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.

Guya Devalle (G)

IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.

Jorge Navarro (J)

IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.

Marcello Massimini (M)

Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy.
IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.

Angela Comanducci (A)

IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.
Università Campus Bio-Medico di Roma, Rome, Italy.

Classifications MeSH