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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.
  • Cardoso VF; Postgraduate Program in Biotechnology, Federal University of Espirito Santo (UFES), 29075-910 Vitoria, Brazil.
  • Delisle-Rodriguez D; Postgraduate Program in Electrical Engineering, Federal University of Espirito Santo (UFES), 29075-910 Vitoria, Brazil.
  • Romero-Laiseca MA; Postgraduate Program in Electrical Engineering, Federal University of Espirito Santo (UFES), 29075-910 Vitoria, Brazil.
  • Loterio FA; Postgraduate Program in Biotechnology, Federal University of Espirito Santo (UFES), 29075-910 Vitoria, Brazil.
  • Gurve D; Department of Electrical, Computer, and Biomedical Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada.
  • Floriano A; Federal Institute of Espirito Santo (IFES), 29932-540 São Mateus, Brazil.
  • Valadão C; Postgraduate Program in Electrical Engineering, Federal University of Espirito Santo (UFES), 29075-910 Vitoria, Brazil.
  • Silva L; Postgraduate Program in Electrical Engineering, Federal University of Espirito Santo (UFES), 29075-910 Vitoria, Brazil.
  • Krishnan S; Department of Electrical, Computer, and Biomedical Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada.
  • Frizera-Neto A; Postgraduate Program in Electrical Engineering, Federal University of Espirito Santo (UFES), 29075-910 Vitoria, Brazil.
  • Freire Bastos-Filho T; Postgraduate Program in Biotechnology, Federal University of Espirito Santo (UFES), 29075-910 Vitoria, Brazil.
Sensors (Basel) ; 21(6)2021 Mar 12.
Article in English | MEDLINE | ID: covidwho-1143562
ABSTRACT
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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Full text: Available Collection: International databases Database: MEDLINE Main subject: Brain-Computer Interfaces / Cortical Excitability / Motor Cortex Type of study: Experimental Studies Limits: Humans Language: English Year: 2021 Document Type: Article Affiliation country: S21062020

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Brain-Computer Interfaces / Cortical Excitability / Motor Cortex Type of study: Experimental Studies Limits: Humans Language: English Year: 2021 Document Type: Article Affiliation country: S21062020