Frontiers in Human Neuroscience (Jul 2022)
Corrigendum: 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.2022.977387
- Journal volume & issue
-
Vol. 16
Abstract
No abstracts available.Keywords
- alpha relative power
- motor imagery
- performance variation
- electroencephalogram (EEG)
- brain-computer interface (BCI)
- neurofeedback training (NFT)
