Kim Ha Yeon, Yang Sung Phil, Park Gyu Lee, Kim Eun Joo, You Joshua Sung Hyun
Translational Research Center for Rehabilitation Robots, National Rehabilitation Center, Seoul, Republic of Korea.
Movement Healing Laboratory, Department of Physical Therapy, The Graduate School, Yonsei University, Wonju, Republic of Korea.
NeuroRehabilitation. 2016;38(2):171-8. doi: 10.3233/NRE-161307.
Robot-assisted and treadmill-gait training are promising neurorehabilitation techniques, with advantages over conventional gait training, but the neural substrates underpinning locomotor control remain unknown particularly during different gait training modes and speeds.
The present optical imaging study compared cortical activities during conventional stepping walking (SW), treadmill walking (TW), and robot-assisted walking (RW) at different speeds.
Fourteen healthy subjects (6 women, mean age 30.06, years ± 4.53) completed three walking training modes (SW, TW, and RW) at various speeds (self-selected, 1.5, 2.0, 2.5, and 3.0 km/h). A functional near-infrared spectroscopy (fNIRS) system determined cerebral hemodynamic changes associated with cortical locomotor network areas in the primary sensorimotor cortex (SMC), premotor cortex (PMC), supplementary motor area (SMA), prefrontal cortex (PFC), and sensory association cortex (SAC).
There was increased cortical activation in the SMC, PMC, and SMA during different walking training modes. More global locomotor network activation was observed during RW than TW or SW. As walking speed increased, multiple locomotor network activations were observed, and increased activation power spectrum.
This is the first empirical evidence highlighting the neural substrates mediating dynamic locomotion for different gait training modes and speeds. Fast, robot-assisted gait training best facilitated cortical activation associated with locomotor control.
机器人辅助和跑步机步态训练是很有前景的神经康复技术,比传统步态训练更具优势,但运动控制的神经基础仍不清楚,尤其是在不同的步态训练模式和速度下。
本光学成像研究比较了在不同速度下进行传统步行(SW)、跑步机步行(TW)和机器人辅助步行(RW)时的皮质活动。
14名健康受试者(6名女性,平均年龄30.06岁±4.53岁)以不同速度(自选、1.5、2.0、2.5和3.0千米/小时)完成三种步行训练模式(SW、TW和RW)。功能近红外光谱(fNIRS)系统确定了与初级感觉运动皮层(SMC)、运动前皮层(PMC)、辅助运动区(SMA)、前额叶皮层(PFC)和感觉联合皮层(SAC)中的皮质运动网络区域相关的脑血流动力学变化。
在不同的步行训练模式下,SMC、PMC和SMA中的皮质激活增加。与TW或SW相比,RW期间观察到更广泛的运动网络激活。随着步行速度增加,观察到多个运动网络激活,且激活功率谱增加。
这是首个突出不同步态训练模式和速度下介导动态运动的神经基础的实证证据。快速的机器人辅助步态训练最有助于与运动控制相关的皮质激活。