Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation

Autores
Dagnino, Paulina Clara; Escrichs, Anira; López González, Ane; Gosseries, Olivia; Annen, Jitka; Sanz Perl Hernandez, Yonatan; Kringelbach, Morten L.; Laureys, Steven; Deco, Gustavo
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A fundamental challenge in neuroscience is accurately defining brain states and predicting how and where to perturb the brain to force a transition. Here, we investigated resting-state fMRI data of patients suffering from disorders of consciousness (DoC) after coma (minimally conscious and unresponsive wakefulness states) and healthy controls. We applied model-free and model-based approaches to help elucidate the underlying brain mechanisms of patients with DoC. The model-free approach allowed us to characterize brain states in DoC and healthy controls as a probabilistic metastable substate (PMS) space. The PMS of each group was defined by a repertoire of unique patterns (i.e., metastable substates) with different probabilities of occurrence. In the model-based approach, we adjusted the PMS of each DoC group to a causal whole-brain model. This allowed us to explore optimal strategies for promoting transitions by applying off-line in silico probing. Furthermore, this approach enabled us to evaluate the impact of local perturbations in terms of their global effects and sensitivity to stimulation, which is a model-based biomarker providing a deeper understanding of the mechanisms underlying DoC. Our results show that transitions were obtained in a synchronous protocol, in which the somatomotor network, thalamus, precuneus and insula were the most sensitive areas to perturbation. This motivates further work to continue understanding brain function and treatments of disorders of consciousness.
Fil: Dagnino, Paulina Clara. Universitat Pompeu Fabra; España
Fil: Escrichs, Anira. Universitat Pompeu Fabra; España
Fil: López González, Ane. Universitat Pompeu Fabra; España
Fil: Gosseries, Olivia. Université de Liège; Bélgica
Fil: Annen, Jitka. Université de Liège; Bélgica
Fil: Sanz Perl Hernandez, Yonatan. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Kringelbach, Morten L.. University of Oxford; Reino Unido
Fil: Laureys, Steven. Université de Liège; Bélgica
Fil: Deco, Gustavo. Universitat Pompeu Fabra; España
Materia
Neuroimaging
Disorders of consciousness
Whole-brain model
Pertubations
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/251827
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbationDagnino, Paulina ClaraEscrichs, AniraLópez González, AneGosseries, OliviaAnnen, JitkaSanz Perl Hernandez, YonatanKringelbach, Morten L.Laureys, StevenDeco, GustavoNeuroimagingDisorders of consciousnessWhole-brain modelPertubationshttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3A fundamental challenge in neuroscience is accurately defining brain states and predicting how and where to perturb the brain to force a transition. Here, we investigated resting-state fMRI data of patients suffering from disorders of consciousness (DoC) after coma (minimally conscious and unresponsive wakefulness states) and healthy controls. We applied model-free and model-based approaches to help elucidate the underlying brain mechanisms of patients with DoC. The model-free approach allowed us to characterize brain states in DoC and healthy controls as a probabilistic metastable substate (PMS) space. The PMS of each group was defined by a repertoire of unique patterns (i.e., metastable substates) with different probabilities of occurrence. In the model-based approach, we adjusted the PMS of each DoC group to a causal whole-brain model. This allowed us to explore optimal strategies for promoting transitions by applying off-line in silico probing. Furthermore, this approach enabled us to evaluate the impact of local perturbations in terms of their global effects and sensitivity to stimulation, which is a model-based biomarker providing a deeper understanding of the mechanisms underlying DoC. Our results show that transitions were obtained in a synchronous protocol, in which the somatomotor network, thalamus, precuneus and insula were the most sensitive areas to perturbation. This motivates further work to continue understanding brain function and treatments of disorders of consciousness.Fil: Dagnino, Paulina Clara. Universitat Pompeu Fabra; EspañaFil: Escrichs, Anira. Universitat Pompeu Fabra; EspañaFil: López González, Ane. Universitat Pompeu Fabra; EspañaFil: Gosseries, Olivia. Université de Liège; BélgicaFil: Annen, Jitka. Université de Liège; BélgicaFil: Sanz Perl Hernandez, Yonatan. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Kringelbach, Morten L.. University of Oxford; Reino UnidoFil: Laureys, Steven. Université de Liège; BélgicaFil: Deco, Gustavo. Universitat Pompeu Fabra; EspañaPublic Library of Science2024-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/251827Dagnino, Paulina Clara; Escrichs, Anira; López González, Ane; Gosseries, Olivia; Annen, Jitka; et al.; Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation; Public Library of Science; PLOS Computational Biology; 20; 5; 5-2024; 1-291553-7358CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://dx.plos.org/10.1371/journal.pcbi.1011350info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pcbi.1011350info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:55:26Zoai:ri.conicet.gov.ar:11336/251827instacron: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 09:55:26.769CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation
title Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation
spellingShingle Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation
Dagnino, Paulina Clara
Neuroimaging
Disorders of consciousness
Whole-brain model
Pertubations
title_short Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation
title_full Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation
title_fullStr Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation
title_full_unstemmed Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation
title_sort Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation
dc.creator.none.fl_str_mv Dagnino, Paulina Clara
Escrichs, Anira
López González, Ane
Gosseries, Olivia
Annen, Jitka
Sanz Perl Hernandez, Yonatan
Kringelbach, Morten L.
Laureys, Steven
Deco, Gustavo
author Dagnino, Paulina Clara
author_facet Dagnino, Paulina Clara
Escrichs, Anira
López González, Ane
Gosseries, Olivia
Annen, Jitka
Sanz Perl Hernandez, Yonatan
Kringelbach, Morten L.
Laureys, Steven
Deco, Gustavo
author_role author
author2 Escrichs, Anira
López González, Ane
Gosseries, Olivia
Annen, Jitka
Sanz Perl Hernandez, Yonatan
Kringelbach, Morten L.
Laureys, Steven
Deco, Gustavo
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Neuroimaging
Disorders of consciousness
Whole-brain model
Pertubations
topic Neuroimaging
Disorders of consciousness
Whole-brain model
Pertubations
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv A fundamental challenge in neuroscience is accurately defining brain states and predicting how and where to perturb the brain to force a transition. Here, we investigated resting-state fMRI data of patients suffering from disorders of consciousness (DoC) after coma (minimally conscious and unresponsive wakefulness states) and healthy controls. We applied model-free and model-based approaches to help elucidate the underlying brain mechanisms of patients with DoC. The model-free approach allowed us to characterize brain states in DoC and healthy controls as a probabilistic metastable substate (PMS) space. The PMS of each group was defined by a repertoire of unique patterns (i.e., metastable substates) with different probabilities of occurrence. In the model-based approach, we adjusted the PMS of each DoC group to a causal whole-brain model. This allowed us to explore optimal strategies for promoting transitions by applying off-line in silico probing. Furthermore, this approach enabled us to evaluate the impact of local perturbations in terms of their global effects and sensitivity to stimulation, which is a model-based biomarker providing a deeper understanding of the mechanisms underlying DoC. Our results show that transitions were obtained in a synchronous protocol, in which the somatomotor network, thalamus, precuneus and insula were the most sensitive areas to perturbation. This motivates further work to continue understanding brain function and treatments of disorders of consciousness.
Fil: Dagnino, Paulina Clara. Universitat Pompeu Fabra; España
Fil: Escrichs, Anira. Universitat Pompeu Fabra; España
Fil: López González, Ane. Universitat Pompeu Fabra; España
Fil: Gosseries, Olivia. Université de Liège; Bélgica
Fil: Annen, Jitka. Université de Liège; Bélgica
Fil: Sanz Perl Hernandez, Yonatan. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Kringelbach, Morten L.. University of Oxford; Reino Unido
Fil: Laureys, Steven. Université de Liège; Bélgica
Fil: Deco, Gustavo. Universitat Pompeu Fabra; España
description A fundamental challenge in neuroscience is accurately defining brain states and predicting how and where to perturb the brain to force a transition. Here, we investigated resting-state fMRI data of patients suffering from disorders of consciousness (DoC) after coma (minimally conscious and unresponsive wakefulness states) and healthy controls. We applied model-free and model-based approaches to help elucidate the underlying brain mechanisms of patients with DoC. The model-free approach allowed us to characterize brain states in DoC and healthy controls as a probabilistic metastable substate (PMS) space. The PMS of each group was defined by a repertoire of unique patterns (i.e., metastable substates) with different probabilities of occurrence. In the model-based approach, we adjusted the PMS of each DoC group to a causal whole-brain model. This allowed us to explore optimal strategies for promoting transitions by applying off-line in silico probing. Furthermore, this approach enabled us to evaluate the impact of local perturbations in terms of their global effects and sensitivity to stimulation, which is a model-based biomarker providing a deeper understanding of the mechanisms underlying DoC. Our results show that transitions were obtained in a synchronous protocol, in which the somatomotor network, thalamus, precuneus and insula were the most sensitive areas to perturbation. This motivates further work to continue understanding brain function and treatments of disorders of consciousness.
publishDate 2024
dc.date.none.fl_str_mv 2024-05
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/11336/251827
Dagnino, Paulina Clara; Escrichs, Anira; López González, Ane; Gosseries, Olivia; Annen, Jitka; et al.; Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation; Public Library of Science; PLOS Computational Biology; 20; 5; 5-2024; 1-29
1553-7358
CONICET Digital
CONICET
url http://hdl.handle.net/11336/251827
identifier_str_mv Dagnino, Paulina Clara; Escrichs, Anira; López González, Ane; Gosseries, Olivia; Annen, Jitka; et al.; Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation; Public Library of Science; PLOS Computational Biology; 20; 5; 5-2024; 1-29
1553-7358
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://dx.plos.org/10.1371/journal.pcbi.1011350
info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pcbi.1011350
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
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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