多感觉交互效应干预脑卒中后上肢运动控制预知及半球精细分工的重建机制

Stroke has become a major disease on morbidity and the survivors exist the motion control impairment. It is important to design subject-specific rehabilitation strategy for voluntary movement recovery and motor function is related to cognition and anticipation ability. This study is a randomized controlled trial and focus on the effects of center neuron network deficits on anticipation and cognition of stroke suvivors and the mechanism of motor relearning after the intervention. Multisensory interaction and virtual reality (MI-VR) training will be applied to the persons after stroke for three weeks and the evaluations will be performed at pre-training and post training. 3D kinematic and biomechanic analysis and event related potential (ERP) of neurophysiology technique will be applied and compared between experimental group and healthy subjects group. At first, a common model of healthy subjects' movement will be set up and changes of motor control ability after stroke will be evaluated comared to the model. ERP will be conducted to find the target area and brain activity changes of the MI-VR training on stroke survirors. The results are helped to understand the coordination of neural network after impariment and the mechanism of neural plasticiy of the connectivity of hemispheres and encephalic region reconstruction after intervention.

脑卒中发病率居前列，幸存者多数存在以运动控制障碍为主的残疾病征。目前康复治疗集中在随意运动功能的重新正常化,这一过程与患者认知能力及预知密切相关。本研究为随机对照研究，探讨神经网络损伤后对运动控制预知能力的影响及重建机制。课题应用多感觉交互效应体感技术（MI、VR）对脑卒中患者进行3周干预，分别在干预前后，对实验组及正常组上肢运动控制进行功能效益及结局分析。应用生物力学和基于事件相关电位的神经生理学技术，分析双上肢运动控制预知能力及大脑半球精细分工的特征及机制，建立正常人上肢运动控制预知范式，并依此为参照，分析脑卒中后运动控制功能障碍的参数改变。引入ERP检测，明确人脑对时间对定向、注意、动机、动作准备等多种运动相关的认知预知能力, 用于研究个体认知活动和大脑信息加工过程，从运动力学和认知科学角度深入研究脑损伤后多个脑区间及神经网络间的协调与重组机制。