iTBS on RDLPFC improves performance of motor imagery: a brain-computer interface study combining EEG and fNIRS

Abstract Background Some individuals using brain-computer interfaces (BCIs) exhibit ineffective control during motor imagery-based BCI (MI-BCI) training. MI-BCI performance correlates with the activation in the frontoparietal attention network, premotor-parietal network, and supplementary motor area...

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Bibliographic Details
Main Authors: Jialin Chen, Quan Liu, Gengbin Chen, Guiyuan Cai, Junbo Jiang, Xueru Yang, Chunqiu Tan, Cailin Zhang, Guangqing Xu, Yue Lan
Format: Article
Language:English
Published: BMC 2025-07-01
Series:Journal of NeuroEngineering and Rehabilitation
Subjects:
Online Access:https://doi.org/10.1186/s12984-025-01688-8
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