与席旭刚教授合作的、题为 “Analysis of functional corticomuscular coupling based on multiscale transfer spectral entropy” 的论文已被《IEEE Journal of Biomedical and Health Informatics》接受发表。该论文摘要如下：

Functional corticomuscular coupling (FCMC) between the cerebral motor cortex and muscle activity reflects multi-layer and nonlinear interactions in the sensorimotor system. Considering the inherent multiscale characteristics of physiological signals, we proposed multiscale transfer spectral entropy (MSTSE) and introduced the unidirectionally coupled Hénon maps model to verify the effectiveness of MSTSE. We recorded electroencephalogram (EEG) and surface electromyography (sEMG) in steady-state grip tasks of 29 healthy participants and 27 patients. Then, we used MSTSE to analyze the FCMC base on EEG of the bilateral motor areas and the sEMG of the flexor digitorum superficialis (FDS). The results show that MSTSE is superior to transfer spectral entropy (TSE) method in restraining the spurious coupling and detecting the coupling more accurately. The coupling strength was higher in the 1, 2, and 2 bands, among which, it was highest in the 1 band, and reached its maximum at the 22–30 scale. In particular, the coupling strength was higher when the dominant hand or higher grip strengths was used. On the directional characteristics of FCMC, the coupling strength of EEG→sEMG is superior to the opposite direction in most cases. In addition, the coupling strength of the stroke-affected side was lower than that of healthy controls’ right hand in the 1 and 2 bands and the stroke-unaffected side in the 1 band. The coupling strength of the stroke-affected side was higher than that of the stroke-unaffected side and the right hand of healthy controls in the sEMG→EEG direction of 2 band. This study provides a new perspective and lays a foundation for analyzing FCMC and motor dysfunction.