A link between the increase in electroencephalographic coherence and performance improvement in operating a brain-computer interface

Irma Nayeli Angulo-Sherman, David Gutiérrez

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4 Citations (Scopus)

Abstract

© 2015 Irma Nayeli Angulo-Sherman and David Gutiérrez. We study the relationship between electroencephalographic (EEG) coherence and accuracy in operating a brain-computer interface (BCI). In our case, the BCI is controlled through motor imagery. Hence, a number of volunteers were trained using different training paradigms: classical visual feedback, auditory stimulation, and functional electrical stimulation (FES). After each training session, the volunteers' accuracy in operating the BCI was assessed, and the event-related coherence (ErCoh) was calculated for all possible combinations of pairs of EEG sensors. After at least four training sessions, we searched for significant differences in accuracy and ErCoh using one-way analysis of variance (ANOVA) and multiple comparison tests. Our results show that there exists a high correlation between an increase in ErCoh and performance improvement, and this effect is mainly localized in the centrofrontal and centroparietal brain regions for the case of our motor imagery task. This result has a direct implication with the development of new techniques to evaluate BCI performance and the process of selecting a feedback modality that better enhances the volunteer's capacity to operate a BCI system.
Original languageEnglish
JournalComputational Intelligence and Neuroscience
DOIs
Publication statusPublished - 1 Jan 2015
Externally publishedYes

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Brain-Computer Interfaces
Brain computer interface
Volunteers
Imagery (Psychotherapy)
Feedback
Acoustic Stimulation
Sensory Feedback
Computer Systems
Analysis of variance (ANOVA)
Multiple Comparisons
Electric Stimulation
Analysis of variance
Brain
Analysis of Variance
Modality
Paradigm
Sensors
Sensor
Evaluate
Training

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Neuroscience(all)
  • Mathematics(all)

Cite this

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abstract = "{\circledC} 2015 Irma Nayeli Angulo-Sherman and David Guti{\'e}rrez. We study the relationship between electroencephalographic (EEG) coherence and accuracy in operating a brain-computer interface (BCI). In our case, the BCI is controlled through motor imagery. Hence, a number of volunteers were trained using different training paradigms: classical visual feedback, auditory stimulation, and functional electrical stimulation (FES). After each training session, the volunteers' accuracy in operating the BCI was assessed, and the event-related coherence (ErCoh) was calculated for all possible combinations of pairs of EEG sensors. After at least four training sessions, we searched for significant differences in accuracy and ErCoh using one-way analysis of variance (ANOVA) and multiple comparison tests. Our results show that there exists a high correlation between an increase in ErCoh and performance improvement, and this effect is mainly localized in the centrofrontal and centroparietal brain regions for the case of our motor imagery task. This result has a direct implication with the development of new techniques to evaluate BCI performance and the process of selecting a feedback modality that better enhances the volunteer's capacity to operate a BCI system.",
author = "Angulo-Sherman, {Irma Nayeli} and David Guti{\'e}rrez",
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N2 - © 2015 Irma Nayeli Angulo-Sherman and David Gutiérrez. We study the relationship between electroencephalographic (EEG) coherence and accuracy in operating a brain-computer interface (BCI). In our case, the BCI is controlled through motor imagery. Hence, a number of volunteers were trained using different training paradigms: classical visual feedback, auditory stimulation, and functional electrical stimulation (FES). After each training session, the volunteers' accuracy in operating the BCI was assessed, and the event-related coherence (ErCoh) was calculated for all possible combinations of pairs of EEG sensors. After at least four training sessions, we searched for significant differences in accuracy and ErCoh using one-way analysis of variance (ANOVA) and multiple comparison tests. Our results show that there exists a high correlation between an increase in ErCoh and performance improvement, and this effect is mainly localized in the centrofrontal and centroparietal brain regions for the case of our motor imagery task. This result has a direct implication with the development of new techniques to evaluate BCI performance and the process of selecting a feedback modality that better enhances the volunteer's capacity to operate a BCI system.

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