基于独立成分分析的脑卒中感觉运动网络功能连接异常的研究
发布时间:2018-04-02 06:07
本文选题:静息态 切入点:磁共振成像 出处:《中国康复医学杂志》2017年06期
【摘要】:目的:运用独立成分分析(independent component analysis,ICA)探讨脑卒中偏瘫患者感觉运动网络功能连接变化。方法:收集33例慢性期左侧皮质下脑卒中患者和34例年龄、性别相匹配的健康志愿者的静息态功能磁共振成像(resting-state functional magnetic resonance imaging,rs-fMRI)数据,采用组ICA方法提取出健康对照组与脑卒中患者组的感觉运动网络,并运用双样本t检验(P0.05,AlphaSim校正)比较其组间差异。结果:与健康对照组相比,ICA提取出的感觉运动网络(包括背侧、腹侧、左侧和右侧感觉运动网络)在患者组均显示其内功能连接明显下降,具体涉及脑区有:背侧感觉运动网络内的左侧中央前回和右侧中央后回,腹侧感觉运动网络内的左侧中央后回,左侧感觉运动网络内的左侧辅助运动皮质和右侧中央后回,右侧感觉运动网络内的左侧中央前后回。结论:脑卒中偏瘫患者涉及全身感觉运动功能连接网络损伤,ICA为更加全面了解感觉运动功能损伤机制提供了一种新的有效途径。
[Abstract]:Objective: to investigate the changes of sensorimotor network function in stroke patients with hemiplegia by independent component analysis (ICA). Methods: Thirty-three patients with chronic left subcortical stroke and 34 patients with chronic subcortical stroke were collected. Resting-state functional magnetic resonance imagings-f MRI data of sex-matched healthy volunteers were used to extract sensorimotor networks from healthy controls and stroke patients by ICA method. Results: compared with the healthy control group, the sensory motor network (including dorsal side, ventral side) extracted by ICA was compared with that of the control group. The left and right sensorimotor networks showed a significant decrease in the functional connections in the patient group, including the left precentral gyrus and the right posterior central gyrus in the dorsal sensory motor network. The left posterior central gyrus in the ventral sensory motor network, the left auxiliary motor cortex and the right posterior central gyrus in the left sensory motor network. Conclusion: in stroke patients with hemiplegia, the total sensorimotor function associated with network injury provides a new and effective way to understand the mechanism of sensorimotor dysfunction.
【作者单位】: 华东师范大学物理与材料科学学院上海市磁共振重点实验室;复旦大学附属华山医院康复科;上海第三康复医院;
【基金】:国家自然科学基金面上项目(81471651);国家自然科学基金青年项目(81401859) 国家科技部“十二五”支撑计划项目(2013BAI10B03) 上海市卫生和计划生育委员会项目(201440634) 上海市闸北区卫生局项目(面上2014MS06)资助
【分类号】:R445.2;R743.3
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