Neurofeedback Training of Alpha Relative Power Improves the Performance of Motor Imagery Brain-Computer Interface

Qing Zhou; Qing Zhou; Qing Zhou; Ruidong Cheng; Lin Yao; Lin Yao; Lin Yao; Xiangming Ye; Kedi Xu; Kedi Xu; Kedi Xu; Kedi Xu

doi:10.3389/fnhum.2022.831995

Frontiers in Human Neuroscience (Apr 2022)

Neurofeedback Training of Alpha Relative Power Improves the Performance of Motor Imagery Brain-Computer Interface

Qing Zhou,
Qing Zhou,
Qing Zhou,
Ruidong Cheng,
Lin Yao,
Lin Yao,
Lin Yao,
Xiangming Ye,
Kedi Xu,
Kedi Xu,
Kedi Xu,
Kedi Xu

Affiliations

Qing Zhou: Qiushi Academy for Advanced Studies (QAAS), Zhejiang University, Hangzhou, China
Qing Zhou: Zhejiang Lab, Hangzhou, China
Qing Zhou: Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Key Laboratory of Biomedical Engineering of Education Ministry, Zhejiang University, Hangzhou, China
Ruidong Cheng: Center for Rehabilitation Medicine, Rehabilitation and Sports Medicine Research Institute of Zhejiang Province, Department of Rehabilitation Medicine, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), Hangzhou, China
Lin Yao: MOE Frontiers Science Center for Brain and Brain-Machine Integration, Zhejiang University, Hangzhou, China
Lin Yao: Department of Neurobiology, Affiliated Mental Health Center and Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
Lin Yao: The College of Computer Science, Zhejiang University, Hangzhou, China
Xiangming Ye: Center for Rehabilitation Medicine, Rehabilitation and Sports Medicine Research Institute of Zhejiang Province, Department of Rehabilitation Medicine, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), Hangzhou, China
Kedi Xu: Qiushi Academy for Advanced Studies (QAAS), Zhejiang University, Hangzhou, China
Kedi Xu: Zhejiang Lab, Hangzhou, China
Kedi Xu: Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Key Laboratory of Biomedical Engineering of Education Ministry, Zhejiang University, Hangzhou, China
Kedi Xu: MOE Frontiers Science Center for Brain and Brain-Machine Integration, Zhejiang University, Hangzhou, China

DOI: https://doi.org/10.3389/fnhum.2022.831995
Journal volume & issue: Vol. 16

Abstract

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Significant variation in performance in motor imagery (MI) tasks impedes their wide adoption for brain-computer interface (BCI) applications. Previous researchers have found that resting-state alpha-band power is positively correlated with MI-BCI performance. In this study, we designed a neurofeedback training (NFT) protocol based on the up-regulation of the alpha band relative power (RP) to investigate its effect on MI-BCI performance. The principal finding of this study is that alpha NFT could successfully help subjects increase alpha-rhythm power and improve their MI-BCI performance. An individual difference was also found in this study in that subjects who increased alpha power more had a better performance improvement. Additionally, the functional connectivity (FC) of the frontal-parietal (FP) network was found to be enhanced after alpha NFT. However, the enhancement failed to reach a significant level after multiple comparisons correction. These findings contribute to a better understanding of the neurophysiological mechanism of cognitive control through alpha regulation.

Published in Frontiers in Human Neuroscience

ISSN: 1662-5161 (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry
Website: http://www.frontiersin.org/human_neuroscience

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