功能近红外光谱
形状记忆合金*
前额叶皮质
辅助电机区
运动前皮质
神经科学
物理医学与康复
认知
心理学
运动皮层
医学
功能磁共振成像
解剖
计算机科学
背
刺激
算法
作者
Jinyu Zheng,Ping Shi,Mengxue Fan,Sailan Liang,Sujiao Li,Hongliu Yu
出处
期刊:Neuroreport
[Ovid Technologies (Wolters Kluwer)]
日期:2021-03-24
卷期号:32 (6): 479-488
被引量:15
标识
DOI:10.1097/wnr.0000000000001615
摘要
Objective The purpose of this study is to investigate the cortical activation during passive and active training modes under different speeds of upper extremity rehabilitation robots. Methods Twelve healthy subjects completed the active and passive training modes at various speeds (0.12, 0.18, and 0.24 m/s) for the right upper limb. The functional near-infrared spectroscopy (fNIRS) was used to measure the neural activities of the sensorimotor cortex (SMC), premotor cortex (PMC), supplementary motor area (SMA), and prefrontal cortex (PFC). Results Both the active and passive training modes can activate SMC, PMC, SMA, and PFC. The activation level of active training is higher than that of passive training. At the speed of 0.12 m/s, there is no significant difference in the intensity of the two modes. However, at the speed of 0.24 m/s, there are significant differences between the two modes in activation levels of each region of interest (ROI) ( P < 0.05) (SMC: F = 8.90, P = 0.003; PMC: F = 8.26, P = 0.005; SMA: F = 5.53, P = 0.023; PFC: F = 9.160, P = 0.003). Conclusion This study mainly studied on the neural mechanisms of active and passive training modes at different speeds based on the end-effector upper-limb rehabilitation robot. Slow, active training better facilitated the cortical activation associated with cognition and motor control. See Video Abstract, http://links.lww.com/WNR/A621.
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