Cortical activation in robot-assisted dynamic and static resistance training combining VR interaction: An fNIRS based pilot study

Autor: Jinyu Zheng, Wanying He, Qiqi Ma, Wenqian Cai, Sujiao Li, Hongliu Yu
Rok vydání: 2023
Předmět:
Zdroj: NeuroRehabilitation. 52:413-423
ISSN: 1878-6448
1053-8135
DOI: 10.3233/nre-220292
Popis: BACKGROUND: There are few isometric training systems based on upper limb rehabilitation robots. Its efficacy and neural mechanism are not well understood. OBJECTIVE: This study aims to investigate the cortex activation of dynamic resistance and static (isometric) training based on upper limb rehabilitation robot combined with virtual reality (VR) interaction by using functional near-infrared spectroscopy (fNIRS). METHODS: Twenty subjects were included in this study. The experiment adopts the block paradigm design. Experiment in dynamic and static conditions consisted of three trials, each consisting of task (60 s)-rest (40 s). The neural activities of the sensorimotor cortex (SMC), premotor cortex (PMC) and prefrontal cortex (PFC) were measured. The cortex activation and functional connectivity (FC) were analyzed. RESULTS: Both the dynamic and static training can activate SMC, PMC, and PFC. In SMC and PMC, the activation of static training was stronger than dynamic training, there were significant differences between the two modes of each region of interest (ROI) (p
Databáze: OpenAIRE
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