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

Autores
Mindlin, I.; Herzog, R.; Belloli, L.; Manasova, D.; Monge Asensio, M.; Vohryzek, J.; Escrichs, A.; Alnagger, N.; Núñez, P.; Gosseries, O.; Kringelbach, M. L.; Deco, G.; Tagliazucchi, Enzo Rodolfo; Naccache, L.; Rohaut, B.; Sitt, J. D.; Sanz Perl Hernandez, Yonatan
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Mindlin, I.. Paris Brain Institute; Francia
Fil: Herzog, R.. Sorbonne University; Francia
Fil: Belloli, L.. Sorbonne University; Francia
Fil: Manasova, D.. Sorbonne University; Francia
Fil: Monge Asensio, M.. Universitat Pompeu Fabra; España
Fil: Vohryzek, J.. Universitat Pompeu Fabra; España
Fil: Escrichs, A.. Universitat Pompeu Fabra; España
Fil: Alnagger, N.. Université de Liège; Bélgica
Fil: Núñez, P.. Université de Liège; Bélgica
Fil: Gosseries, O.. Université de Liège; Bélgica
Fil: Kringelbach, M. L.. University of Oxford; Reino Unido
Fil: Deco, G.. Universitat Pompeu Fabra; España
Fil: Tagliazucchi, Enzo Rodolfo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina. Universidad Adolfo Ibañez; Chile. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Naccache, L.. Paris Brain Institute; Francia
Fil: Rohaut, B.. Paris Brain Institute; Francia
Fil: Sitt, J. D.. Sorbonne University; Francia
Fil: Sanz Perl Hernandez, Yonatan. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Neuroimaging
Disorders of consciousness
whole-brain model
Pharmacology
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/251826
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Whole brain modelling for simulating pharmacological interventions on patients with disorders of consciousnessMindlin, I.Herzog, R.Belloli, L.Manasova, D.Monge Asensio, M.Vohryzek, J.Escrichs, A.Alnagger, N.Núñez, P.Gosseries, O.Kringelbach, M. L.Deco, G.Tagliazucchi, Enzo RodolfoNaccache, L.Rohaut, B.Sitt, J. D.Sanz Perl Hernandez, YonatanNeuroimagingDisorders of consciousnesswhole-brain modelPharmacologyhttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3Disorders 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.Fil: Mindlin, I.. Paris Brain Institute; FranciaFil: Herzog, R.. Sorbonne University; FranciaFil: Belloli, L.. Sorbonne University; FranciaFil: Manasova, D.. Sorbonne University; FranciaFil: Monge Asensio, M.. Universitat Pompeu Fabra; EspañaFil: Vohryzek, J.. Universitat Pompeu Fabra; EspañaFil: Escrichs, A.. Universitat Pompeu Fabra; EspañaFil: Alnagger, N.. Université de Liège; BélgicaFil: Núñez, P.. Université de Liège; BélgicaFil: Gosseries, O.. Université de Liège; BélgicaFil: Kringelbach, M. L.. University of Oxford; Reino UnidoFil: Deco, G.. Universitat Pompeu Fabra; EspañaFil: Tagliazucchi, Enzo Rodolfo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina. Universidad Adolfo Ibañez; Chile. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Naccache, L.. Paris Brain Institute; FranciaFil: Rohaut, B.. Paris Brain Institute; FranciaFil: Sitt, J. D.. Sorbonne University; FranciaFil: Sanz Perl Hernandez, Yonatan. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaSpringer2024-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/251826Mindlin, I.; Herzog, R.; Belloli, L.; Manasova, D.; Monge Asensio, M.; et al.; Whole brain modelling for simulating pharmacological interventions on patients with disorders of consciousness; Springer; Communications Biology; 7; 1; 9-2024; 1-132399-3642CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s42003-024-06852-9info:eu-repo/semantics/altIdentifier/doi/10.1038/s42003-024-06852-9info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:49:31Zoai:ri.conicet.gov.ar:11336/251826instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:49:31.269CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Whole brain modelling for simulating pharmacological interventions on patients with disorders of consciousness
title Whole brain modelling for simulating pharmacological interventions on patients with disorders of consciousness
spellingShingle Whole brain modelling for simulating pharmacological interventions on patients with disorders of consciousness
Mindlin, I.
Neuroimaging
Disorders of consciousness
whole-brain model
Pharmacology
title_short Whole brain modelling for simulating pharmacological interventions on patients with disorders of consciousness
title_full Whole brain modelling for simulating pharmacological interventions on patients with disorders of consciousness
title_fullStr Whole brain modelling for simulating pharmacological interventions on patients with disorders of consciousness
title_full_unstemmed Whole brain modelling for simulating pharmacological interventions on patients with disorders of consciousness
title_sort Whole brain modelling for simulating pharmacological interventions on patients with disorders of consciousness
dc.creator.none.fl_str_mv Mindlin, I.
Herzog, R.
Belloli, L.
Manasova, D.
Monge Asensio, M.
Vohryzek, J.
Escrichs, A.
Alnagger, N.
Núñez, P.
Gosseries, O.
Kringelbach, M. L.
Deco, G.
Tagliazucchi, Enzo Rodolfo
Naccache, L.
Rohaut, B.
Sitt, J. D.
Sanz Perl Hernandez, Yonatan
author Mindlin, I.
author_facet Mindlin, I.
Herzog, R.
Belloli, L.
Manasova, D.
Monge Asensio, M.
Vohryzek, J.
Escrichs, A.
Alnagger, N.
Núñez, P.
Gosseries, O.
Kringelbach, M. L.
Deco, G.
Tagliazucchi, Enzo Rodolfo
Naccache, L.
Rohaut, B.
Sitt, J. D.
Sanz Perl Hernandez, Yonatan
author_role author
author2 Herzog, R.
Belloli, L.
Manasova, D.
Monge Asensio, M.
Vohryzek, J.
Escrichs, A.
Alnagger, N.
Núñez, P.
Gosseries, O.
Kringelbach, M. L.
Deco, G.
Tagliazucchi, Enzo Rodolfo
Naccache, L.
Rohaut, B.
Sitt, J. D.
Sanz Perl Hernandez, Yonatan
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Neuroimaging
Disorders of consciousness
whole-brain model
Pharmacology
topic Neuroimaging
Disorders of consciousness
whole-brain model
Pharmacology
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv 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.
Fil: Mindlin, I.. Paris Brain Institute; Francia
Fil: Herzog, R.. Sorbonne University; Francia
Fil: Belloli, L.. Sorbonne University; Francia
Fil: Manasova, D.. Sorbonne University; Francia
Fil: Monge Asensio, M.. Universitat Pompeu Fabra; España
Fil: Vohryzek, J.. Universitat Pompeu Fabra; España
Fil: Escrichs, A.. Universitat Pompeu Fabra; España
Fil: Alnagger, N.. Université de Liège; Bélgica
Fil: Núñez, P.. Université de Liège; Bélgica
Fil: Gosseries, O.. Université de Liège; Bélgica
Fil: Kringelbach, M. L.. University of Oxford; Reino Unido
Fil: Deco, G.. Universitat Pompeu Fabra; España
Fil: Tagliazucchi, Enzo Rodolfo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina. Universidad Adolfo Ibañez; Chile. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Naccache, L.. Paris Brain Institute; Francia
Fil: Rohaut, B.. Paris Brain Institute; Francia
Fil: Sitt, J. D.. Sorbonne University; Francia
Fil: Sanz Perl Hernandez, Yonatan. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description 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.
publishDate 2024
dc.date.none.fl_str_mv 2024-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/251826
Mindlin, I.; Herzog, R.; Belloli, L.; Manasova, D.; Monge Asensio, M.; et al.; Whole brain modelling for simulating pharmacological interventions on patients with disorders of consciousness; Springer; Communications Biology; 7; 1; 9-2024; 1-13
2399-3642
CONICET Digital
CONICET
url http://hdl.handle.net/11336/251826
identifier_str_mv Mindlin, I.; Herzog, R.; Belloli, L.; Manasova, D.; Monge Asensio, M.; et al.; Whole brain modelling for simulating pharmacological interventions on patients with disorders of consciousness; Springer; Communications Biology; 7; 1; 9-2024; 1-13
2399-3642
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s42003-024-06852-9
info:eu-repo/semantics/altIdentifier/doi/10.1038/s42003-024-06852-9
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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