Effect of the VR-guided grasping task on the brain functional network.

Autor:	Shao G; School of Mechatronic Engineering and Automation, Foshan University, Foshan, China.; Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Center for Rehabilitation Technical Aids, Beijing, China., Xu G; Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Center for Rehabilitation Technical Aids, Beijing, China., Huo C; Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Center for Rehabilitation Technical Aids, Beijing, China., Nie Z; Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Center for Rehabilitation Technical Aids, Beijing, China., Zhang Y; School of Mechatronic Engineering and Automation, Foshan University, Foshan, China., Yi L; School of Mechatronic Engineering and Automation, Foshan University, Foshan, China., Wang D; School of Mechatronic Engineering and Automation, Foshan University, Foshan, China., Shao Z; School of Mechatronic Engineering and Automation, Foshan University, Foshan, China., Weng S; School of Medicine, Foshan University, Foshan, China.; 13929998239@139.com., Sun J; School of Medicine, Foshan University, Foshan, China.; jinyansun@fosu.edu.cn., Li Z; Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Center for Rehabilitation Technical Aids, Beijing, China.; lizengyong@mca.gov.cn.
Jazyk:	angličtina
Zdroj:	Biomedical optics express [Biomed Opt Express] 2023 Dec 06; Vol. 15 (1), pp. 77-94. Date of Electronic Publication: 2023 Dec 06 (Print Publication: 2024).
DOI:	10.1364/BOE.504669
Abstrakt:	Virtual reality (VR) technology has been demonstrated to be effective in rehabilitation training with the assistance of VR games, but its impact on brain functional networks remains unclear. In this study, we used functional near-infrared spectroscopy imaging to examine the brain hemodynamic signals from 18 healthy participants during rest and grasping tasks with and without VR game intervention. We calculated and compared the graph theory-based topological properties of the brain networks using phase locking values (PLV). The results revealed significant differences in the brain network properties when VR games were introduced compared to the resting state. Specifically, for the VR-guided grasping task, the modularity of the brain network was significantly higher than the resting state, and the average clustering coefficient of the motor cortex was significantly lower compared to that of the resting state and the simple grasping task. Correlation analyses showed that a higher clustering coefficient, local efficiency, and modularity were associated with better game performance during VR game participation. This study demonstrates that a VR game task intervention can better modulate the brain functional network compared to simple grasping movements and may be more beneficial for the recovery of grasping abilities in post-stroke patients with hand paralysis. Competing Interests: The authors declare no conflicts of interest. (© 2023 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.)
Databáze:	MEDLINE
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