Whole brain modelling for simulating pharmacological interventions on patients with disorders of consciousness.


Journal

Communications biology
ISSN: 2399-3642
Titre abrégé: Commun Biol
Pays: England
ID NLM: 101719179

Informations de publication

Date de publication:
19 Sep 2024
Historique:
received: 31 01 2024
accepted: 05 09 2024
medline: 20 9 2024
pubmed: 20 9 2024
entrez: 19 9 2024
Statut: epublish

Résumé

Disorders of consciousness (DoC) represent a challenging and complex group of neurological conditions characterised by profound disturbances in consciousness. The current range of treatments for DoC is limited. This has sparked growing interest in developing new treatments, including the use of psychedelic drugs. Nevertheless, clinical investigations and the mechanisms behind them are methodologically and ethically constrained. To tackle these limitations, we combined biologically plausible whole-brain models with deep learning techniques to characterise the low-dimensional space of DoC patients. We investigated the effects of model pharmacological interventions by including the whole-brain dynamical consequences of the enhanced neuromodulatory level of different neurotransmitters, and providing geometrical interpretation in the low-dimensional space. Our findings show that serotonergic and opioid receptors effectively shifted the DoC models towards a dynamical behaviour associated with a healthier state, and that these improvements correlated with the mean density of the activated receptors throughout the brain. These findings mark an important step towards the development of treatments not only for DoC but also for a broader spectrum of brain diseases. Our method offers a promising avenue for exploring the therapeutic potential of pharmacological interventions within the ethical and methodological confines of clinical research.

Identifiants

pubmed: 39300281
doi: 10.1038/s42003-024-06852-9
pii: 10.1038/s42003-024-06852-9
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1176

Informations de copyright

© 2024. The Author(s).

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Auteurs

I Mindlin (I)

Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Sorbonne Université, Paris, 75013, France. ivan.mindlin@icm-institute.org.

R Herzog (R)

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

L Belloli (L)

Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Sorbonne Université, Paris, 75013, France.
Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ministry of Science, Technology and Innovation, Buenos Aires, Argentina.

D Manasova (D)

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

M Monge-Asensio (M)

Center for Brain and Cognition, Computational Neuroscience Group, Universitat Pompeu Fabra, Barcelona, Spain.

J Vohryzek (J)

Center for Brain and Cognition, Computational Neuroscience Group, Universitat Pompeu Fabra, Barcelona, Spain.

A Escrichs (A)

Center for Brain and Cognition, Computational Neuroscience Group, Universitat Pompeu Fabra, Barcelona, Spain.

N Alnagger (N)

Coma Science Group, GIGA Consciousness, University of Liège, Liège, Belgium.
Centre du cerveau, CHU of Liège, Liège, Belgium.

P Núñez (P)

Coma Science Group, GIGA Consciousness, University of Liège, Liège, Belgium.
Centre du cerveau, CHU of Liège, Liège, Belgium.

O Gosseries (O)

Coma Science Group, GIGA Consciousness, University of Liège, Liège, Belgium.
Centre du cerveau, CHU of Liège, Liège, Belgium.

M L Kringelbach (ML)

Centre for Eudaimonia and Human Flourishing, Linacre College, University of Oxford, Oxford, UK.
Department of Psychiatry, University of Oxford, Oxford, UK.
Center for Music in the Brain, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.

G Deco (G)

Center for Brain and Cognition, Computational Neuroscience Group, Universitat Pompeu Fabra, Barcelona, Spain.
Institució Catalana de la Recerca i Estudis Avançats (ICREA), Barcelona, Spain.

E Tagliazucchi (E)

Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ministry of Science, Technology and Innovation, Buenos Aires, Argentina.
Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile.
Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina.

L Naccache (L)

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

B Rohaut (B)

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

J D Sitt (JD)

Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Sorbonne Université, Paris, 75013, France. jacobo.sitt@icm-institute.org.

Y Sanz Perl (Y)

Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Sorbonne Université, Paris, 75013, France. yonatan.sanz@upf.edu.
Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ministry of Science, Technology and Innovation, Buenos Aires, Argentina. yonatan.sanz@upf.edu.
Center for Brain and Cognition, Computational Neuroscience Group, Universitat Pompeu Fabra, Barcelona, Spain. yonatan.sanz@upf.edu.

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