脑电非线性分析在心算和定向研究中的应用  

Application of EEG non-linear analysis in mental arithmetic and orientation

作　　者：陈雪丽[1] 姚斌[1] 魏东宁[2] 吴东宇[3] 尹岭[1] 

机构地区：[1]解放军总医院神经信息中心,北京市100853 [2]解放军309医院神经内科,北京市100061 [3]首都医科大学宣武医院神经康复科,北京市100053

出　　处：《中国康复理论与实践》2005年第12期978-980,共3页Chinese Journal of Rehabilitation Theory and Practice

基　　金：全军医药卫生科研基金课题:脑损伤病人认知功能康复的脑电非线性分析研究(No.042025)。

摘　　要：目的探讨心算和定向测试过程中脑电非线性动力学特性的变化规律,以及脑电非线性分析在认知过程研究中的作用。方法用关联维数(D2)、近似熵(ApEn)对30名健康成年人在安静闭眼、闭眼心算和闭眼定向3种状态下的脑电数据进行分析。结果认知作业过程相对于安静状态,D2和ApEn明显增高(P<0.01);不同作业状态大脑功能活动的复杂度和参与的脑区不同;脑电非线性分析可以清晰展示认知过程中激活脑区的分布情况,及与认知作业相关的脑区活跃程度的变化。结论脑电非线性动力学分析方法适用于认知过程脑功能活动变化规律的研究,有助于了解大脑的工作机制。Objective To investigate the changes of non-linear dynamics characteristic of electroencephalogram （EEG） under three states （eyes closed, mental arithmetic with eyes closed and orientation test with eyes closed）, and the application of non-linear dynamic analysis for cognitive function research. Methods EEG was recorded in 30 healthy young volunteers at three stages. The cor- relation dimension （D2） and approximate entropy （ApEn） were calculated for all subjects. Results D2 and ApEn increased significantly during mental tasks as compared to the rest state with eyes closed （ P〈0.01）. In different mental tasks, the complexity of mental functions and the regions involved in the cognitive task were different. Conclusion Non-linear analysis methods are appropriate for the study of cognitive functions and can help to understand the working mechanism of brain during mental activities.

关 键 词：脑电图 非线性动力学 认知功能 

分 类 号：R741.044[医药卫生—神经病学与精神病学]