AUTHOR=Zhu Feifei , Li Yurong , Shi Zhengyi , Shi Wuxiang 

TITLE=TV-NARX and Coiflets WPT based time-frequency Granger causality with application to corticomuscular coupling in hand-grasping

JOURNAL=Frontiers in Neuroscience

VOLUME=Volume 16 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2022.1014495

DOI=10.3389/fnins.2022.1014495

ISSN=1662-453X

ABSTRACT=The study of the synchronous characteristics and functional connections between the functional cortex and muscles of hand grasping movements is important in basic research, clinical disease diagnosis and rehabilitation evaluation. The electroencephalogram (EEG) and electromyographic signal (EMG) signals of 15 healthy participants were used to analyze the corticomuscular coupling under three different grasping movements of cards, balls and cups by using the time-frequency Granger causality method based on time-varying nonlinear autoregressive with exogenous input model (TV-NARX) model and Coiflets wavelet packet transform. The results showed that there was a bidirectional coupling between cortex and muscles under grasping movement, and it was mainly reflected in the beta and gamma frequency bands, in which there was a statistically significant difference (p<0.05) among the different grasping actions during the movement execution period in the beta frequency band, and a statistically significant difference (p<0.1) among the different grasping actions during the movement preparation period in the gamma frequency band. The results show that the proposed method can effectively characterize the EEG-EMG synchronization features and functional connections in different frequency bands during the movement preparation and execution phases in the time-frequency domain, and reveal the neural control mechanism of sensorimotor system to control the hand grasp function achievement by regulating the intensity of neuronal synchronization oscillations.