Immediate brain plasticity after one hour of brain-computer interface (BCI)

A brain-computer-interface (BCI) allows humans to control computational devices using only neural signals. However, it is still an open question, whether performing BCI also impacts on the brain itself, i.e. whether brain plasticity is induced. Here, we show rapid and spatially specific signs of bra...

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Autores: Nierhaus, Till, Vidaurre Arbizu, Carmen, Sannelli, Claudia, Müller, Klaus Robert, Villringer, Arno
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2019
País:España
Recursos:Universidad Pública de Navarra
Repositório:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
OAI Identifier:oai:academica-e.unavarra.es:2454/36954
Acesso em linha:https://hdl.handle.net/2454/36954
Access Level:Acceso aberto
Palavra-chave:Brain computer interface (BCI)
Brain plasticity
EEG
fMRI
Functional connectivity
Machine learning
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spelling Immediate brain plasticity after one hour of brain-computer interface (BCI)Nierhaus, TillVidaurre Arbizu, CarmenSannelli, ClaudiaMüller, Klaus RobertVillringer, ArnoBrain computer interface (BCI)Brain plasticityEEGfMRIFunctional connectivityMachine learningA brain-computer-interface (BCI) allows humans to control computational devices using only neural signals. However, it is still an open question, whether performing BCI also impacts on the brain itself, i.e. whether brain plasticity is induced. Here, we show rapid and spatially specific signs of brain plasticity measured with functional and structural MRI after only 1 h of purely mental BCI training in BCI-naive subjects. We employed two BCI approaches with neurofeedback based on (i) modulations of EEG rhythms by motor imagery (MI-BCI) or (ii) event-related potentials elicited by visually targeting flashing letters (ERP-BCI). Before and after the BCI session we performed structural and functional MRI. For both BCI approaches we found increased T1-weighted MR signal in the grey matter of the respective target brain regions, such as occipital/parietal areas after ERP-BCI and precuneus and sensorimotor regions after MI-BCI. The latter also showed increased functional connectivity and higher task-evoked BOLD activity in the same areas. Our results demonstrate for the first time that BCI by means of targeted neurofeedback rapidly impacts on MRI measures of brain structure and function. The spatial specificity of BCI-induced brain plasticity promises therapeutic interventions tailored to individual functional deficits, for example in patients after stroke.This research was supported by the German Ministry for Education and Research as Berlin Big Data Center (01IS14013A) and the Berlin Center for Machine Learning (01IS18037I). This research was also supported by the Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (No. 2017‐0‐00451). K.R.M. acknowledges partial funding support by DFG (EXC 2046/1, project‐ID: 390685689). K.R.M. and C.V. gratefully acknowledge financial support from DFG (DFG SPP 1527, MU 987/14‐1). C.V. gratefully acknowledges financial support from MINECO (RYC‐2014‐15671).WileyEstadística, Informática y MatemáticasEstatistika, Informatika eta Matematika2019info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2454/36954reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarrainstname:Universidad Pública de NavarraInglés© The Author(s) 2019. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:academica-e.unavarra.es:2454/369542026-06-17T12:41:47Z
dc.title.none.fl_str_mv Immediate brain plasticity after one hour of brain-computer interface (BCI)
title Immediate brain plasticity after one hour of brain-computer interface (BCI)
spellingShingle Immediate brain plasticity after one hour of brain-computer interface (BCI)
Nierhaus, Till
Brain computer interface (BCI)
Brain plasticity
EEG
fMRI
Functional connectivity
Machine learning
title_short Immediate brain plasticity after one hour of brain-computer interface (BCI)
title_full Immediate brain plasticity after one hour of brain-computer interface (BCI)
title_fullStr Immediate brain plasticity after one hour of brain-computer interface (BCI)
title_full_unstemmed Immediate brain plasticity after one hour of brain-computer interface (BCI)
title_sort Immediate brain plasticity after one hour of brain-computer interface (BCI)
dc.creator.none.fl_str_mv Nierhaus, Till
Vidaurre Arbizu, Carmen
Sannelli, Claudia
Müller, Klaus Robert
Villringer, Arno
author Nierhaus, Till
author_facet Nierhaus, Till
Vidaurre Arbizu, Carmen
Sannelli, Claudia
Müller, Klaus Robert
Villringer, Arno
author_role author
author2 Vidaurre Arbizu, Carmen
Sannelli, Claudia
Müller, Klaus Robert
Villringer, Arno
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Estadística, Informática y Matemáticas
Estatistika, Informatika eta Matematika
dc.subject.none.fl_str_mv Brain computer interface (BCI)
Brain plasticity
EEG
fMRI
Functional connectivity
Machine learning
topic Brain computer interface (BCI)
Brain plasticity
EEG
fMRI
Functional connectivity
Machine learning
description A brain-computer-interface (BCI) allows humans to control computational devices using only neural signals. However, it is still an open question, whether performing BCI also impacts on the brain itself, i.e. whether brain plasticity is induced. Here, we show rapid and spatially specific signs of brain plasticity measured with functional and structural MRI after only 1 h of purely mental BCI training in BCI-naive subjects. We employed two BCI approaches with neurofeedback based on (i) modulations of EEG rhythms by motor imagery (MI-BCI) or (ii) event-related potentials elicited by visually targeting flashing letters (ERP-BCI). Before and after the BCI session we performed structural and functional MRI. For both BCI approaches we found increased T1-weighted MR signal in the grey matter of the respective target brain regions, such as occipital/parietal areas after ERP-BCI and precuneus and sensorimotor regions after MI-BCI. The latter also showed increased functional connectivity and higher task-evoked BOLD activity in the same areas. Our results demonstrate for the first time that BCI by means of targeted neurofeedback rapidly impacts on MRI measures of brain structure and function. The spatial specificity of BCI-induced brain plasticity promises therapeutic interventions tailored to individual functional deficits, for example in patients after stroke.
publishDate 2019
dc.date.none.fl_str_mv 2019
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 https://hdl.handle.net/2454/36954
url https://hdl.handle.net/2454/36954
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname:Universidad Pública de Navarra
instname_str Universidad Pública de Navarra
reponame_str Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
collection Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
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repository.mail.fl_str_mv
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