Turbulent dynamics and whole-brain modeling: toward new clinical applications for traumatic brain injury

Mostra el registre complet Registre parcial de l'ítem

• dc.contributor.author Martínez-Molina, Noelia
• dc.contributor.author Sanz-Pere, Yonatan
• dc.contributor.author Escrichs, Anira
• dc.contributor.author Kringelbach, Morten L.
• dc.contributor.author Deco, Gustavo
• dc.date.accessioned 2025-03-27T08:14:59Z
• dc.date.available 2025-03-27T08:14:59Z
• dc.date.issued 2024
• dc.description.abstract Traumatic Brain Injury (TBI) is a prevalent disorder mostly characterized by persistent impairments in cognitive function that poses a substantial burden on caregivers and the healthcare system worldwide. Crucially, severity classification is primarily based on clinical evaluations, which are non-specific and poorly predictive of long-term disability. In this Mini Review, we first provide a description of our model-free and model-based approaches within the turbulent dynamics framework as well as our vision on how they can potentially contribute to provide new neuroimaging biomarkers for TBI. In addition, we report the main findings of our recent study examining longitudinal changes in moderate-severe TBI (msTBI) patients during a one year spontaneous recovery by applying the turbulent dynamics framework (model-free approach) and the Hopf whole-brain computational model (model-based approach) combined with in silico perturbations. Given the neuroinflammatory response and heightened risk for neurodegeneration after TBI, we also offer future directions to explore the association with genomic information. Moreover, we discuss how whole-brain computational modeling may advance our understanding of the impact of structural disconnection on whole-brain dynamics after msTBI in light of our recent findings. Lastly, we suggest future avenues whereby whole-brain computational modeling may assist the identification of optimal brain targets for deep brain stimulation to promote TBI recovery.
• dc.description.sponsorship NM-M was supported by the Beatriu de Pinós programme (grant agreement no. 2019-BP-00032) from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie agreement no. 801370. YS-P was supported by European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant 896354 and the project NEurological MEchanismS of Injury, and Sleep-like cellular dynamics (NEMESIS) (ref. 101071900) funded by the EU ERC Synergy Horizon Europe. AE was supported by the project eBRAIN-Health—Actionable Multilevel Health Data (id 101058516), funded by EU Horizon Europe, and the NODYN Project PID2022-136216NB-I00 financed by the MCIN/AEI/10.13039/501100011033/ FEDER, UE., the Ministry of Science and Innovation, the State Research Agency and the European Regional Development Fund. MK was supported by the Center for Music in the Brain, funded by the Danish National Research Foundation (DNRF117), and Centre for Eudaimonia and Human Flourishing at Linacre College funded by the Pettit and Carlsberg Foundations. GD was also supported by the project NEurological MEchanismS of Injury, and Sleep-like cellular dynamics (NEMESIS) (ref. 101071900) funded by the EU ERC Synergy Horizon Europe and the NODYN Project PID2022-136216NB-I00 financed by the MCIN/AEI/10.13039/501100011033/FEDER, UE., the Ministry of Science and Innovation, the State Research Agency and the European Regional Development Fund.
• dc.format.mimetype application/pdf
• dc.identifier.citation Martínez-Molina N, Sanz-Pere Y, Escrichs A, Kringelbach ML, Deco G. Turbulent dynamics and whole-brain modeling: toward new clinical applications for traumatic brain injury. Front Neuroinform. 2024 Mar 25;18:1382372. DOI: 10.3389/fninf.2024.1382372
• dc.identifier.doi http://dx.doi.org/10.3389/fninf.2024.1382372
• dc.identifier.issn 1662-5196
• dc.identifier.uri http://hdl.handle.net/10230/70028
• dc.language.iso eng
• dc.publisher Frontiers
• dc.relation.ispartof Frontiers in Neuroinformatics. 2024 Mar 25;18:1382372
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/801370
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/896354
• dc.relation.projectID info:eu-repo/grantAgreement/EC/HE/101071900
• dc.relation.projectID info:eu-repo/grantAgreement/ES/3PE/PID2022-136216NB-I00
• dc.rights © 2024 Martínez-Molina, Sanz-Perl, Escrichs, Kringelbach and Deco. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Traumatic brain injury
• dc.subject.keyword Turbulence
• dc.subject.keyword Whole-brain modeling
• dc.subject.keyword Neuroimaging biomarkers
• dc.subject.keyword Stratified neurology
• dc.title Turbulent dynamics and whole-brain modeling: toward new clinical applications for traumatic brain injury
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion