EEG dynamical network analysis method reveals the neural signature of visual-motor coordination.

ABSTRACT: Human visual-motor coordination is an essential function of movement control, which requires interactions of multiple brain regions. Understanding the cortical-motor coordination is important for improving physical therapy for motor disabilities. However, its underlying transient neural dynamics is still largely unknown. In this study, we applied an eigenvector-based dynamical network analysis method to investigate the functional connectivity calculated from electroencephalography (EEG) signals under visual-motor coordination task and to identify its meta-stable states dynamics. We first tested this signal processing on a simulated network to evaluate it in comparison with other dynamical methods, demonstrating that the eigenvector-based dynamical network analysis was able to correctly ext

SUBMITTER: Li X 

PROVIDER: S-EPMC7252646 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature