Neurofeedback Training of Alpha Relative Power Improves the Performance of Motor Imagery Brain-Computer Interface
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 neurofeedba...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-04-01
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| Series: | Frontiers in Human Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnhum.2022.831995/full |
| _version_ | 1828782088537505792 |
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| author | Qing Zhou Qing Zhou Qing Zhou Ruidong Cheng Lin Yao Lin Yao Lin Yao Xiangming Ye Kedi Xu Kedi Xu Kedi Xu Kedi Xu |
| author_facet | Qing Zhou Qing Zhou Qing Zhou Ruidong Cheng Lin Yao Lin Yao Lin Yao Xiangming Ye Kedi Xu Kedi Xu Kedi Xu Kedi Xu |
| author_sort | Qing Zhou |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-11T17:44:13Z |
| format | Article |
| id | doaj.art-ef566425b4f7464e90a7b605e6be1a7c |
| institution | Directory Open Access Journal |
| issn | 1662-5161 |
| language | English |
| last_indexed | 2024-12-11T17:44:13Z |
| publishDate | 2022-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Human Neuroscience |
| spelling | doaj.art-ef566425b4f7464e90a7b605e6be1a7c2022-12-22T00:56:26ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612022-04-011610.3389/fnhum.2022.831995831995Neurofeedback Training of Alpha Relative Power Improves the Performance of Motor Imagery Brain-Computer InterfaceQing Zhou0Qing Zhou1Qing Zhou2Ruidong Cheng3Lin Yao4Lin Yao5Lin Yao6Xiangming Ye7Kedi Xu8Kedi Xu9Kedi Xu10Kedi Xu11Qiushi Academy for Advanced Studies (QAAS), Zhejiang University, Hangzhou, ChinaZhejiang Lab, Hangzhou, ChinaZhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Key Laboratory of Biomedical Engineering of Education Ministry, Zhejiang University, Hangzhou, ChinaCenter 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, ChinaMOE Frontiers Science Center for Brain and Brain-Machine Integration, Zhejiang University, Hangzhou, ChinaDepartment of Neurobiology, Affiliated Mental Health Center and Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, Hangzhou, ChinaThe College of Computer Science, Zhejiang University, Hangzhou, ChinaCenter 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, ChinaQiushi Academy for Advanced Studies (QAAS), Zhejiang University, Hangzhou, ChinaZhejiang Lab, Hangzhou, ChinaZhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Key Laboratory of Biomedical Engineering of Education Ministry, Zhejiang University, Hangzhou, ChinaMOE Frontiers Science Center for Brain and Brain-Machine Integration, Zhejiang University, Hangzhou, ChinaSignificant 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.https://www.frontiersin.org/articles/10.3389/fnhum.2022.831995/fullalpha relative powermotor imageryperformance variationelectroencephalogram (EEG)brain-computer interface (BCI)neurofeedback training (NFT) |
| spellingShingle | Qing Zhou Qing Zhou Qing Zhou Ruidong Cheng Lin Yao Lin Yao Lin Yao Xiangming Ye Kedi Xu Kedi Xu Kedi Xu Kedi Xu Neurofeedback Training of Alpha Relative Power Improves the Performance of Motor Imagery Brain-Computer Interface Frontiers in Human Neuroscience alpha relative power motor imagery performance variation electroencephalogram (EEG) brain-computer interface (BCI) neurofeedback training (NFT) |
| title | Neurofeedback Training of Alpha Relative Power Improves the Performance of Motor Imagery Brain-Computer Interface |
| title_full | Neurofeedback Training of Alpha Relative Power Improves the Performance of Motor Imagery Brain-Computer Interface |
| title_fullStr | Neurofeedback Training of Alpha Relative Power Improves the Performance of Motor Imagery Brain-Computer Interface |
| title_full_unstemmed | Neurofeedback Training of Alpha Relative Power Improves the Performance of Motor Imagery Brain-Computer Interface |
| title_short | Neurofeedback Training of Alpha Relative Power Improves the Performance of Motor Imagery Brain-Computer Interface |
| title_sort | neurofeedback training of alpha relative power improves the performance of motor imagery brain computer interface |
| topic | alpha relative power motor imagery performance variation electroencephalogram (EEG) brain-computer interface (BCI) neurofeedback training (NFT) |
| url | https://www.frontiersin.org/articles/10.3389/fnhum.2022.831995/full |
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