肖 湘,毛玉瑢,赵江莉,吕衍春,李 乐,徐光青,黄东锋.虚拟现实同步减重训练对脑梗死患者步态对称性及神经网络的影响[J].中国康复医学杂志,2013,28(12):1104~1108 |
虚拟现实同步减重训练对脑梗死患者步态对称性及神经网络的影响 点此下载全文 |
肖 湘 毛玉瑢 赵江莉 吕衍春 李 乐 徐光青 黄东锋 |
中山大学附属第一医院康复医学科,广州,510080 |
基金项目:国家自然科学基金资助项目(30973165) |
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摘要
目的:评估亚急性期脑梗死患者虚拟现实同步减重训练(VR+BWSTT)后步态对称性的远期变化及其神经机制。
方法:8例亚急性期脑梗死患者在3周VR+BWSTT前后各做一次三维步态检查及弥散张量成像(DTI),其中7例患者训练后3个月复查了三维步态和DTI。对以下参数进行前后对比:单腿支撑时间不对称性、步长不对称性、下肢各关节活动范围不对称性、下肢Fugl-Meyer评分、病灶中心的各向异性分数(FA)值、表观扩散系数(ADC)和FA指数(病灶中心FA值/健侧对应区FA值)、ADC指数(病灶中心ADC值/健侧对应区ADC值)。对FA指数、ADC指数与下肢Fugl-Meyer评分做相关性分析。
结果:单腿支撑时间不对称性和下肢Fugl-Meyer评分在训练后改善(P<0.05),且持续至训练后3个月。步长不对称性和下肢各关节活动范围不对称性在训练后无改善(P>0.05)。训练前ADC指数与训练前后下肢Fugl-Meyer评分的变化值有相关性(P<0.05)。
结论:VR+BWSTT可改善亚急性期脑梗死患者步态的时间不对称性和下肢Fugl-Meyer评分。ADC指数可预测患者下肢运动功能康复潜能。 |
关键词:脑梗死 减重 虚拟现实 下肢 弥散张量成像 |
Long term changes of diffusion tensor imaging and gait asymmetry in cerebral infarction survivors after virtual reality-synchronous body weight-supported treadmill training Download Fulltext |
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Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080 |
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Abstract: |
Abstract
Objective: To identify long term changes of gait asymmetry associated with virtual reality-synchronous partial body weight-supported treadmill training (VR+BWSTT) in subacute ischemic stroke survivors, and to investigate the influence on the nerve network.
Method: Eight patients after subacute ischemic stroke participated VR+BWSTT for 3 weeks. Three-dimensional gait analysis and diffusion tensor imaging (DTI) were conducted before, after and 3 months after training. The correlations of fractional anisotropy(FA), apparent diffusion coefficient (ADC) and Fugl-Meyer assessment score of lower limb were analysed.
Result: The results of single-support-time asymmetry ratio and the Fugl-Meyer assessment scores of lower extremities improved significantly in stroke survivors after VR+BWSTT(P<0.05). The improvement of lower limb function remained constant 3 months after training. ADC value before training showed a strong correlation with improvement of Fugl-Meyer assessment scores of lower extremities(P<0.05).
Conclusion: VR+BWSTT is effective in improving temporal gait asymmetry and Fugl-Meyer assessment scores of the lower extremities in patients after subacute ischemic stroke. ADC value may be used to predict functional rehabilitation potential of lower limb in stroke patients. |
Keywords:cerebral infarction body weight support virtual reality lower limb diffusion tensor imaging |
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