项目名称: 康复治疗对脑卒中后不同阶段运动功能恢复作用机制的静息态功能磁共振成像研究
项目编号: No.81471651
项目类型: 面上项目
立项/批准年度: 2015
项目学科: 医药、卫生
项目作者: 范明霞
作者单位: 华东师范大学
项目金额: 72万元
中文摘要: 运动功能障碍严重影响脑卒中患者的日常生活自理能力。目前关于脑卒中运动康复训练的临床研究较多,但对运动康复训练究竟通过何种机制来发挥作用仍不是很清楚。静息态功能磁共振成像是一种适合探究脑卒中患者运动功能障碍脑作用机制的技术,但采用该技术对脑卒中后康复干预的纵向研究报道并不多见,更缺乏了解不同康复训练方法及其不同实施阶段如何影响卒中脑功能的重组。本课题拟对脑卒中后各阶段康复训练前后进行静息态功能磁共振成像研究,结合常规静息态数据分析方法和当今统计物理学前沿的复杂网络分析方法,探讨大脑局部功能重组模式和脑功能网络拓扑结构,同时对比分析在脑卒中后各阶段康复训练前后脑功能的可塑性变化和临床手功能恢复程度的相关性,揭示康复训练对脑卒中后不同阶段运动功能恢复的作用机制,为常规康复训练和运动想象训练的临床治疗介入的适宜时间点和疗效评价提供更加客观可靠的科学依据,具有重要的理论和临床实践价值。
中文关键词: 静息态功能磁共振成像;脑功能重组;运动功能恢复;脑卒中;复杂网络
英文摘要: It is well known that motor deficits affect severely daily life activities for stroke patients. At present, few studies have examined the neural mechanisms of rehabilitation interventions in stroke motor recovery, although a lot of clinical efficacy of rehabilitation interventions have been observed. Moreover, little is known concerning the effects of rehabilitation interventions on motor recovery at different stages following stroke. Recently, resting-state fMRI, considered to be more suitable for patient study, has been popularly used to investigate cortical reorganization in stroke patients, however, lacking of longitudinal studies with rehabilitation interventions. In this study, we will perform the resting-state fMRI before and after rehabilitation interventions on patients at different time phases after stroke, and both commonly used methods and our in-house complex network approach will be used to analyze resting-state fMRI data. Furthermore, the correlation analysis between the results of resting-state fMRI and clinical outcome measures of motor recovery will be carried out. This project not only can provide a deep understanding of brain network reorganization induced from rehabilitation therapies (such as conventional rehabilitation therapy and motor imagery training), but also can provide a valuable reference for the clinic to take appropriate rehabilitation intervention method at appropriate time.
英文关键词: resting-statefMRI;corticalreorganization;motor recovery;stroke;complex networks