Abstract
In recent years, Motor Imagery (MI) based Brain-Computer Interface (BCI) has been proven to be a promising approach for stroke neurorehabilitation. However, the potential therapeutic benefit was limited by BCI performance variation and the 'BCI-illiterate' problem, in which a non-negligible portion of users cannot reach adequate BCI control. In this paper, we investigated the MI-BCI performance variation across subjects (inter-subject) and within-subjects over an extended period (intra-subject). Eight subjects were recruited for a 7-session MI-based BCI intervention. The results showed that pre-cue theta and beta power were significantly correlated with BCI performance both inter and intra-subject aspects. The pre-cue rhythmic dynamic as a neurophysiological index would provide a way for future predicting and neurofeedback training to improve BCI performance.
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