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摘要
For left-and right-handed persons, EEG signals of imaginary hand motions are different due to different habits. In order to know the difference in brain networks between right-and left-handers, a wavelet entropy algorithm is adopted to analyze the complexity of brain networks for imaginary motion, an undirected weighted brain network is established based on correlation algorithm, and the Granger causality method is used to study the causality between different leads of EEG signals. The experimental results show that the wavelet entropy of left-handers imagining left-hand motion is higher than that of imagining right-hand one, while the wavelet entropy of right-handers imagining right-hand motion is higher than that of imagining left-hand motion. The connectivity of the right brain regions is higher than that of the left ones when left-hander imagines left-hand motion, while the situation for imagining right-hand motion is opposite. The activation regions of the brain of left-hander for imaginary motion are in the order: forehead, occipital region, central region, posterior temporal, parietal region, and forehead. However, when right-hander imagines left-and right-hand motions, the left brain regions are more complex than the right ones, which indicates that the imaginary motion for right-handers is mainly controlled by the left side of the brain. There is no obvious directivity of brain activation when right-hander imagines leftand right-hand motions. The study of complex brain network based on imagining motion provides a basis for exploring the relationship between right/left handedness and cerebral brain cognitive network; at the same time, of great significance are the diagnosis and monitoring of neurological and psychiatric diseases (e.g., Alzheimer's disease and schizophrenia), as well as the application of the mind to control the wheelchair, the artificial limb and so on.
- 出版日期2017-11
