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Effect of a Brain–Computer Interface Based on Pedaling Motor Imagery on Cortical Excitability and Connectivity

Recently, studies on cycling-based brain–computer interfaces (BCIs) have been standing out due to their potential for lower-limb recovery. In this scenario, the behaviors of the sensory motor rhythms and the brain connectivity present themselves as sources of information that can contribute to inter...

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Autores principales: Cardoso, Vivianne Flávia, Delisle-Rodriguez, Denis, Romero-Laiseca, Maria Alejandra, Loterio, Flávia A., Gurve, Dharmendra, Floriano, Alan, Valadão, Carlos, Silva, Leticia, Krishnan, Sridhar, Frizera-Neto, Anselmo, Freire Bastos-Filho, Teodiano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8000427/
https://www.ncbi.nlm.nih.gov/pubmed/33809317
http://dx.doi.org/10.3390/s21062020
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author Cardoso, Vivianne Flávia
Delisle-Rodriguez, Denis
Romero-Laiseca, Maria Alejandra
Loterio, Flávia A.
Gurve, Dharmendra
Floriano, Alan
Valadão, Carlos
Silva, Leticia
Krishnan, Sridhar
Frizera-Neto, Anselmo
Freire Bastos-Filho, Teodiano
author_facet Cardoso, Vivianne Flávia
Delisle-Rodriguez, Denis
Romero-Laiseca, Maria Alejandra
Loterio, Flávia A.
Gurve, Dharmendra
Floriano, Alan
Valadão, Carlos
Silva, Leticia
Krishnan, Sridhar
Frizera-Neto, Anselmo
Freire Bastos-Filho, Teodiano
author_sort Cardoso, Vivianne Flávia
collection PubMed
description Recently, studies on cycling-based brain–computer interfaces (BCIs) have been standing out due to their potential for lower-limb recovery. In this scenario, the behaviors of the sensory motor rhythms and the brain connectivity present themselves as sources of information that can contribute to interpreting the cortical effect of these technologies. This study aims to analyze how sensory motor rhythms and cortical connectivity behave when volunteers command reactive motor imagery (MI) BCI that provides passive pedaling feedback. We studied 8 healthy subjects who performed pedaling MI to command an electroencephalography (EEG)-based BCI with a motorized pedal to receive passive movements as feedback. The EEG data were analyzed under the following four conditions: resting, MI calibration, MI online, and receiving passive pedaling (on-line phase). Most subjects produced, over the foot area, significant event-related desynchronization (ERD) patterns around Cz when performing MI and receiving passive pedaling. The sharpest decrease was found for the low beta band. The connectivity results revealed an exchange of information between the supplementary motor area (SMA) and parietal regions during MI and passive pedaling. Our findings point to the primary motor cortex activation for most participants and the connectivity between SMA and parietal regions during pedaling MI and passive pedaling.
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spelling pubmed-80004272021-03-28 Effect of a Brain–Computer Interface Based on Pedaling Motor Imagery on Cortical Excitability and Connectivity Cardoso, Vivianne Flávia Delisle-Rodriguez, Denis Romero-Laiseca, Maria Alejandra Loterio, Flávia A. Gurve, Dharmendra Floriano, Alan Valadão, Carlos Silva, Leticia Krishnan, Sridhar Frizera-Neto, Anselmo Freire Bastos-Filho, Teodiano Sensors (Basel) Article Recently, studies on cycling-based brain–computer interfaces (BCIs) have been standing out due to their potential for lower-limb recovery. In this scenario, the behaviors of the sensory motor rhythms and the brain connectivity present themselves as sources of information that can contribute to interpreting the cortical effect of these technologies. This study aims to analyze how sensory motor rhythms and cortical connectivity behave when volunteers command reactive motor imagery (MI) BCI that provides passive pedaling feedback. We studied 8 healthy subjects who performed pedaling MI to command an electroencephalography (EEG)-based BCI with a motorized pedal to receive passive movements as feedback. The EEG data were analyzed under the following four conditions: resting, MI calibration, MI online, and receiving passive pedaling (on-line phase). Most subjects produced, over the foot area, significant event-related desynchronization (ERD) patterns around Cz when performing MI and receiving passive pedaling. The sharpest decrease was found for the low beta band. The connectivity results revealed an exchange of information between the supplementary motor area (SMA) and parietal regions during MI and passive pedaling. Our findings point to the primary motor cortex activation for most participants and the connectivity between SMA and parietal regions during pedaling MI and passive pedaling. MDPI 2021-03-12 /pmc/articles/PMC8000427/ /pubmed/33809317 http://dx.doi.org/10.3390/s21062020 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cardoso, Vivianne Flávia
Delisle-Rodriguez, Denis
Romero-Laiseca, Maria Alejandra
Loterio, Flávia A.
Gurve, Dharmendra
Floriano, Alan
Valadão, Carlos
Silva, Leticia
Krishnan, Sridhar
Frizera-Neto, Anselmo
Freire Bastos-Filho, Teodiano
Effect of a Brain–Computer Interface Based on Pedaling Motor Imagery on Cortical Excitability and Connectivity
title Effect of a Brain–Computer Interface Based on Pedaling Motor Imagery on Cortical Excitability and Connectivity
title_full Effect of a Brain–Computer Interface Based on Pedaling Motor Imagery on Cortical Excitability and Connectivity
title_fullStr Effect of a Brain–Computer Interface Based on Pedaling Motor Imagery on Cortical Excitability and Connectivity
title_full_unstemmed Effect of a Brain–Computer Interface Based on Pedaling Motor Imagery on Cortical Excitability and Connectivity
title_short Effect of a Brain–Computer Interface Based on Pedaling Motor Imagery on Cortical Excitability and Connectivity
title_sort effect of a brain–computer interface based on pedaling motor imagery on cortical excitability and connectivity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8000427/
https://www.ncbi.nlm.nih.gov/pubmed/33809317
http://dx.doi.org/10.3390/s21062020
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