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

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....

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Autores: Martínez-Molina, Noelia, Escrichs, Anira, Sanz Perl, Yonatan, Sihvonen, Aleksi J., Särkämö, Teppo, Kringelbach, Morten L., Deco, Gustavo
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/70701
Acceso en línea:http://hdl.handle.net/10230/70701
http://dx.doi.org/10.1162/netn_a_00346
Access Level:acceso abierto
Palabra clave:Whole-brain modeling
Resting-state fMRI
Turbulent dynamics
Traumatic brain injury
In silico brain stimulation
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spelling The evolution of whole-brain turbulent dynamics during recovery from traumatic brain injuryMartínez-Molina, NoeliaEscrichs, AniraSanz Perl, YonatanSihvonen, Aleksi J.Särkämö, TeppoKringelbach, Morten L.Deco, GustavoWhole-brain modelingResting-state fMRITurbulent dynamicsTraumatic brain injuryIn silico brain stimulationIt 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.Noelia Martínez-Molina, BdP Programme, Award ID: 2019-BP-00032. Yonatan Sanz-Perl, H2020 Marie Skłodowska-Curie Actions (https://dx.doi.org/10.13039/100010665), Award ID: 896354. Anira Escrichs, Human Brain Mapping Project, Award ID: 945539. Aleksi J. Sihvonen, Suomen Kulttuurirahasto (https://dx.doi.org/10.13039/501100003125), Award ID: 191230. Aleksi J. Sihvonen, Orionin Tutkimussäätiö (https://dx.doi.org/10.13039/501100007083). Aleksi J. Sihvonen, Signe ja Ane Gyllenbergin Säätiö (https://dx.doi.org/10.13039/501100004325). Teppo Särkämö, Academy of Finland (https://dx.doi.org/10.13039/501100002341), Award ID: 338448 & 346211. Teppo Särkämö, H2020 European Research Council (https://dx.doi.org/10.13039/100010663), Award ID: 803466. Morten L. Kringelbach, Danish National Research Foundation, Award ID: DNRF117. Morten L. Kringelbach is the founder of the Centre for Eudaimonia and Human Flourishing at Linacre College, funded by the Pettit and Carlsberg Foundations. Gustavo Deco, Ministerio de Ciencia e Innovación (https://dx.doi.org/10.13039/501100004837), Award ID: PID2019-105772GB-I00 MCIU AEI.MIT Press202520252024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/70701http://dx.doi.org/10.1162/netn_a_00346http://hdl.handle.net/10230/70701reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésNetwork Neuroscience. 2024;8(1):158-77info:eu-repo/grantAgreement/EC/H2020/803466info:eu-repo/grantAgreement/ES/2PE/PID2019-105772GB-I00info:eu-repo/grantAgreement/EC/H2020/896354info:eu-repo/grantAgreement/EC/H2020/945539© 2024 Massachusetts Institute of Technology. Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/legalcode.http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10230/707012026-05-29T05:05:01Z
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 modeling
Resting-state fMRI
Turbulent dynamics
Traumatic brain injury
In silico brain stimulation
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, Yonatan
Sihvonen, Aleksi J.
Särkämö, Teppo
Kringelbach, Morten L.
Deco, Gustavo
author Martínez-Molina, Noelia
author_facet Martínez-Molina, Noelia
Escrichs, Anira
Sanz Perl, Yonatan
Sihvonen, Aleksi J.
Särkämö, Teppo
Kringelbach, Morten L.
Deco, Gustavo
author_role author
author2 Escrichs, Anira
Sanz Perl, 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 modeling
Resting-state fMRI
Turbulent dynamics
Traumatic brain injury
In silico brain stimulation
topic Whole-brain modeling
Resting-state fMRI
Turbulent dynamics
Traumatic brain injury
In silico brain stimulation
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
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/70701
http://dx.doi.org/10.1162/netn_a_00346
http://hdl.handle.net/10230/70701
url http://hdl.handle.net/10230/70701
http://dx.doi.org/10.1162/netn_a_00346
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Network Neuroscience. 2024;8(1):158-77
info:eu-repo/grantAgreement/EC/H2020/803466
info:eu-repo/grantAgreement/ES/2PE/PID2019-105772GB-I00
info:eu-repo/grantAgreement/EC/H2020/896354
info:eu-repo/grantAgreement/EC/H2020/945539
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
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:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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