Qing Zhou
Ruidong Cheng4
Lin Yao
Kedi Xu
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- 1Qiushi Academy for Advanced Studies (QAAS), Zhejiang University, Hangzhou, China
- 2Zhejiang Lab, Hangzhou, China
- 3Zhejiang 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
- 4Center 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
- 5MOE Frontiers Science Center for Brain and Brain-Machine Integration, Zhejiang University, Hangzhou, China
- 6Department of Neurobiology, Affiliated Mental Health Center and Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
- 7The College of Computer Science, Zhejiang University, Hangzhou, China
A corrigendum on
Neurofeedback Training of Alpha Relative Power Improves the Performance of Motor Imagery Brain-Computer Interface
by Zhou, Q., Cheng, R., Yao, L., Ye, X., and Xu, K. (2022). Front. Hum. Neurosci. 16:831995. doi: 10.3389/fnhum.2022.831995
In the published article, there was an error in affiliations 1 and 2. Instead of “1 Zhejiang Lab, Hangzhou, China, 2 Qiushi Academy for Advanced Studies (QAAS), Zhejiang University, Hangzhou, China,” it should be “1 Qiushi Academy for Advanced Studies (QAAS), Zhejiang University, Hangzhou, China, 2 Zhejiang Lab, Hangzhou, China.”
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
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Keywords: alpha relative power, motor imagery, performance variation, electroencephalogram (EEG), brain-computer interface (BCI), neurofeedback training (NFT)
Citation: Zhou Q, Cheng R, Yao L, Ye X and Xu K (2022) Corrigendum: Neurofeedback training of alpha relative power improves the performance of motor imagery brain-computer interface. Front. Hum. Neurosci. 16:977387. doi: 10.3389/fnhum.2022.977387
Received: 24 June 2022; Accepted: 27 June 2022;
Published: 14 July 2022.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2022 Zhou, Cheng, Yao, Ye and Xu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Kedi Xu, eHVrZEB6anUuZWR1LmNu; Xiangming Ye, eWV4bWRyQDEyNi5jb20=