One session of fMRI-Neurofeedback training on motor imagery modulates whole-brain effective connectivity and dynamical complexity

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• dc.contributor.author De Filippi, Eleonora
• dc.contributor.author Marins, Theo
• dc.contributor.author Escrichs, Anira
• dc.contributor.author Gilson, Matthieu
• dc.contributor.author Moll, Jorge
• dc.contributor.author Tovar-Moll, Fernanda
• dc.contributor.author Deco, Gustavo
• dc.date.accessioned 2023-07-24T07:10:29Z
• dc.date.available 2023-07-24T07:10:29Z
• dc.date.issued 2022
• dc.description.abstract In the past decade, several studies have shown that Neurofeedback (NFB) by functional magnetic resonance imaging can alter the functional coupling of targeted and non-targeted areas. However, the causal mechanisms underlying these changes remain uncertain. Here, we applied a whole-brain dynamical model to estimate Effective Connectivity (EC) profiles of resting-state data acquired before and immediately after a single-session NFB training for 17 participants who underwent motor imagery NFB training and 16 healthy controls who received sham feedback. Within-group and between-group classification analyses revealed that only for the NFB group it was possible to accurately discriminate between the 2 resting-state sessions. NFB training-related signatures were reflected in a support network of direct connections between areas involved in reward processing and implicit learning, together with regions belonging to the somatomotor, control, attention, and default mode networks, identified through a recursive-feature elimination procedure. By applying a data-driven approach to explore NFB-induced changes in spatiotemporal dynamics, we demonstrated that these regions also showed decreased switching between different brain states (i.e. metastability) only following real NFB training. Overall, our findings contribute to the understanding of NFB impact on the whole brain’s structure and function by shedding light on the direct connections between brain areas affected by NFB training.
• dc.description.sponsorship EDF is supported by the Doctorate Scholarship FI-2020 from the Catalan Agency for Management of University and Research Grants (AGAUR). TM is supported by the Foundation for Research Support in the State of Rio de Janeiro (FAPERJ) and the D’Or Institute for Research and Education (IDOR). AE acknowledges funding from the HBP SGA3 Human Brain Project Specific Grant Agreement 3 (grant agreement no. 945539), funded by the EU H2020 FET Flagship programme. MG is supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 785907 (Human Brain Project SGA2) and the German Excellence Strategy of the Federal Government and the Länder (G:(DE-82)EXS-PF-JARA-SDS005). GD is supported by the HBP SGA3 Human Brain Project Specific Grant Agreement 3 (grant agreement no. 945539), funded by the EU H2020 FET Flagship programme, by the Spanish national research project AWAKENING (ref. PID2019-105772GB-I00/AEI/10.13039/501100011033) funded by the Spanish Ministry of Science, Innovation and Universities (MCIU), State Research Agency (AEI), and by the SGR Research Support Group support (ref. 2017 SGR 1545), funded by the Catalan Agency for Management of University and Research Grants (AGAUR).
• dc.format.mimetype application/pdf
• dc.identifier.citation De Filippi E, Marins T, Escrichs A, Gilson M, Moll J, Tovar-Moll F, Deco G. One session of fMRI-Neurofeedback training on motor imagery modulates whole-brain effective connectivity and dynamical complexity. Cereb Cortex Commun. 2022;3(3):tgac027. DOI: 10.1093/texcom/tgac027
• dc.identifier.doi http://dx.doi.org/10.1093/texcom/tgac027
• dc.identifier.issn 2632-7376
• dc.identifier.uri http://hdl.handle.net/10230/57639
• dc.language.iso eng
• dc.publisher Oxford University Press
• dc.relation.ispartof Cerebral Cortex Communications. 2022;3(3):tgac027.
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/945539
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/785907
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PID2019-105772GB-100
• dc.rights © The Author(s) 2022. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword neurofeedback
• dc.subject.keyword real-time fMRI
• dc.subject.keyword motor imagery
• dc.subject.keyword whole-brain effective connectivity
• dc.subject.keyword whole-brain dynamics
• dc.title One session of fMRI-Neurofeedback training on motor imagery modulates whole-brain effective connectivity and dynamical complexity
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion