The evolution of whole-brain turbulent dynamics during recovery from traumatic brain injury

Autores
Martínez Molina, Noelia; Escrichs, Anira; Sanz Perl Hernandez, Yonatan; Sihvonen, Aleksi J.; Särkämö, Teppo; Kringelbach, Morten L.; Deco, Gustavo
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
It has been previously shown that traumatic brain injury (TBI) is associated with reductions in metastability in large-scale networks in resting-state fMRI (rsfMRI). However, little is known about how TBI affects the local level of synchronization and how this evolves during the recovery trajectory. Here, we applied a novel turbulent dynamics framework to investigate whole-brain dynamics using an rsfMRI dataset from a cohort of moderate to severe TBI patients and healthy controls (HCs). We first examined how several measures related to turbulent dynamics differ between HCs and TBI patients at 3, 6, and 12 months post-injury. We found a significant reduction in these empirical measures after TBI, with the largest change at 6 months post-injury. Next, we built a Hopf whole-brain model with coupled oscillators and conducted in silico perturbations to investigate the mechanistic principles underlying the reduced turbulent dynamics found in the empirical data. A simulated attack was used to account for the effect of focal lesions. This revealed a shift to lower coupling parameters in the TBI dataset and, critically, decreased susceptibility and information-encoding capability. These findings confirm the potential of the turbulent framework to characterize longitudinal changes in whole-brain dynamics and in the reactivity to external perturbations after TBI.
Fil: Martínez Molina, Noelia. Universitat Pompeu Fabra; España. University of Helsinki; Finlandia
Fil: Escrichs, Anira. Universitat Pompeu Fabra; España
Fil: Sanz Perl Hernandez, Yonatan. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universitat Pompeu Fabra; España
Fil: Sihvonen, Aleksi J.. University of Helsinki; Finlandia. University of Queensland; Australia
Fil: Särkämö, Teppo. University of Helsinki; Finlandia
Fil: Kringelbach, Morten L.. University of Oxford; Reino Unido. University Aarhus; Dinamarca
Fil: Deco, Gustavo. Universitat Pompeu Fabra; España. Institució Catalana de Recerca i Estudis Avancats; España
Materia
Whole-brain model
Turbulence
Traumatic brain injury
Brain dynamics
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/251875
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling The evolution of whole-brain turbulent dynamics during recovery from traumatic brain injuryMartínez Molina, NoeliaEscrichs, AniraSanz Perl Hernandez, YonatanSihvonen, Aleksi J.Särkämö, TeppoKringelbach, Morten L.Deco, GustavoWhole-brain modelTurbulenceTraumatic brain injuryBrain dynamicshttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3It has been previously shown that traumatic brain injury (TBI) is associated with reductions in metastability in large-scale networks in resting-state fMRI (rsfMRI). However, little is known about how TBI affects the local level of synchronization and how this evolves during the recovery trajectory. Here, we applied a novel turbulent dynamics framework to investigate whole-brain dynamics using an rsfMRI dataset from a cohort of moderate to severe TBI patients and healthy controls (HCs). We first examined how several measures related to turbulent dynamics differ between HCs and TBI patients at 3, 6, and 12 months post-injury. We found a significant reduction in these empirical measures after TBI, with the largest change at 6 months post-injury. Next, we built a Hopf whole-brain model with coupled oscillators and conducted in silico perturbations to investigate the mechanistic principles underlying the reduced turbulent dynamics found in the empirical data. A simulated attack was used to account for the effect of focal lesions. This revealed a shift to lower coupling parameters in the TBI dataset and, critically, decreased susceptibility and information-encoding capability. These findings confirm the potential of the turbulent framework to characterize longitudinal changes in whole-brain dynamics and in the reactivity to external perturbations after TBI.Fil: Martínez Molina, Noelia. Universitat Pompeu Fabra; España. University of Helsinki; FinlandiaFil: Escrichs, Anira. Universitat Pompeu Fabra; EspañaFil: Sanz Perl Hernandez, Yonatan. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universitat Pompeu Fabra; EspañaFil: Sihvonen, Aleksi J.. University of Helsinki; Finlandia. University of Queensland; AustraliaFil: Särkämö, Teppo. University of Helsinki; FinlandiaFil: Kringelbach, Morten L.. University of Oxford; Reino Unido. University Aarhus; DinamarcaFil: Deco, Gustavo. Universitat Pompeu Fabra; España. Institució Catalana de Recerca i Estudis Avancats; EspañaMIT Press2024-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/251875Martínez Molina, Noelia; Escrichs, Anira; Sanz Perl Hernandez, Yonatan; Sihvonen, Aleksi J.; Särkämö, Teppo; et al.; The evolution of whole-brain turbulent dynamics during recovery from traumatic brain injury; MIT Press; Network Neuroscience; 8; 1; 4-2024; 158-1772472-1751CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://direct.mit.edu/netn/article/8/1/158/117964/The-evolution-of-whole-brain-turbulent-dynamicsinfo:eu-repo/semantics/altIdentifier/doi/10.1162/netn_a_00346info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:49:17Zoai:ri.conicet.gov.ar:11336/251875instacron: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:34982025-09-29 09:49:17.419CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv The evolution of whole-brain turbulent dynamics during recovery from traumatic brain injury
title The evolution of whole-brain turbulent dynamics during recovery from traumatic brain injury
spellingShingle The evolution of whole-brain turbulent dynamics during recovery from traumatic brain injury
Martínez Molina, Noelia
Whole-brain model
Turbulence
Traumatic brain injury
Brain dynamics
title_short The evolution of whole-brain turbulent dynamics during recovery from traumatic brain injury
title_full The evolution of whole-brain turbulent dynamics during recovery from traumatic brain injury
title_fullStr The evolution of whole-brain turbulent dynamics during recovery from traumatic brain injury
title_full_unstemmed The evolution of whole-brain turbulent dynamics during recovery from traumatic brain injury
title_sort The evolution of whole-brain turbulent dynamics during recovery from traumatic brain injury
dc.creator.none.fl_str_mv Martínez Molina, Noelia
Escrichs, Anira
Sanz Perl Hernandez, Yonatan
Sihvonen, Aleksi J.
Särkämö, Teppo
Kringelbach, Morten L.
Deco, Gustavo
author Martínez Molina, Noelia
author_facet Martínez Molina, Noelia
Escrichs, Anira
Sanz Perl Hernandez, Yonatan
Sihvonen, Aleksi J.
Särkämö, Teppo
Kringelbach, Morten L.
Deco, Gustavo
author_role author
author2 Escrichs, Anira
Sanz Perl Hernandez, Yonatan
Sihvonen, Aleksi J.
Särkämö, Teppo
Kringelbach, Morten L.
Deco, Gustavo
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Whole-brain model
Turbulence
Traumatic brain injury
Brain dynamics
topic Whole-brain model
Turbulence
Traumatic brain injury
Brain dynamics
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv It has been previously shown that traumatic brain injury (TBI) is associated with reductions in metastability in large-scale networks in resting-state fMRI (rsfMRI). However, little is known about how TBI affects the local level of synchronization and how this evolves during the recovery trajectory. Here, we applied a novel turbulent dynamics framework to investigate whole-brain dynamics using an rsfMRI dataset from a cohort of moderate to severe TBI patients and healthy controls (HCs). We first examined how several measures related to turbulent dynamics differ between HCs and TBI patients at 3, 6, and 12 months post-injury. We found a significant reduction in these empirical measures after TBI, with the largest change at 6 months post-injury. Next, we built a Hopf whole-brain model with coupled oscillators and conducted in silico perturbations to investigate the mechanistic principles underlying the reduced turbulent dynamics found in the empirical data. A simulated attack was used to account for the effect of focal lesions. This revealed a shift to lower coupling parameters in the TBI dataset and, critically, decreased susceptibility and information-encoding capability. These findings confirm the potential of the turbulent framework to characterize longitudinal changes in whole-brain dynamics and in the reactivity to external perturbations after TBI.
Fil: Martínez Molina, Noelia. Universitat Pompeu Fabra; España. University of Helsinki; Finlandia
Fil: Escrichs, Anira. Universitat Pompeu Fabra; España
Fil: Sanz Perl Hernandez, Yonatan. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universitat Pompeu Fabra; España
Fil: Sihvonen, Aleksi J.. University of Helsinki; Finlandia. University of Queensland; Australia
Fil: Särkämö, Teppo. University of Helsinki; Finlandia
Fil: Kringelbach, Morten L.. University of Oxford; Reino Unido. University Aarhus; Dinamarca
Fil: Deco, Gustavo. Universitat Pompeu Fabra; España. Institució Catalana de Recerca i Estudis Avancats; España
description It has been previously shown that traumatic brain injury (TBI) is associated with reductions in metastability in large-scale networks in resting-state fMRI (rsfMRI). However, little is known about how TBI affects the local level of synchronization and how this evolves during the recovery trajectory. Here, we applied a novel turbulent dynamics framework to investigate whole-brain dynamics using an rsfMRI dataset from a cohort of moderate to severe TBI patients and healthy controls (HCs). We first examined how several measures related to turbulent dynamics differ between HCs and TBI patients at 3, 6, and 12 months post-injury. We found a significant reduction in these empirical measures after TBI, with the largest change at 6 months post-injury. Next, we built a Hopf whole-brain model with coupled oscillators and conducted in silico perturbations to investigate the mechanistic principles underlying the reduced turbulent dynamics found in the empirical data. A simulated attack was used to account for the effect of focal lesions. This revealed a shift to lower coupling parameters in the TBI dataset and, critically, decreased susceptibility and information-encoding capability. These findings confirm the potential of the turbulent framework to characterize longitudinal changes in whole-brain dynamics and in the reactivity to external perturbations after TBI.
publishDate 2024
dc.date.none.fl_str_mv 2024-04
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/11336/251875
Martínez Molina, Noelia; Escrichs, Anira; Sanz Perl Hernandez, Yonatan; Sihvonen, Aleksi J.; Särkämö, Teppo; et al.; The evolution of whole-brain turbulent dynamics during recovery from traumatic brain injury; MIT Press; Network Neuroscience; 8; 1; 4-2024; 158-177
2472-1751
CONICET Digital
CONICET
url http://hdl.handle.net/11336/251875
identifier_str_mv Martínez Molina, Noelia; Escrichs, Anira; Sanz Perl Hernandez, Yonatan; Sihvonen, Aleksi J.; Särkämö, Teppo; et al.; The evolution of whole-brain turbulent dynamics during recovery from traumatic brain injury; MIT Press; Network Neuroscience; 8; 1; 4-2024; 158-177
2472-1751
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://direct.mit.edu/netn/article/8/1/158/117964/The-evolution-of-whole-brain-turbulent-dynamics
info:eu-repo/semantics/altIdentifier/doi/10.1162/netn_a_00346
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MIT Press
publisher.none.fl_str_mv MIT Press
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
_version_ 1844613526783524864
score 13.070432

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