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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/251875
Ver los metadatos del registro completo
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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 Técnicas2025-09-03T09:52:07Zoai: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:34982025-09-03 09:52:07.371CONICET 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 |
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1842269137522393088 |
score |
13.13397 |