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应用科学学报 >

2014 , Vol. 32 >Issue 6: 631 - 638

DOI: https://doi.org/10.3969/j.issn.0255-8297.2014.06.013

信号与信息处理

老年轻度认知障碍患者的脑电熵分析

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  • 1. 上海大学通信与信息工程学院，上海200444
    2. 首都医科大学宣武医院，北京100053
    3．北京市脑功能疾病调控治疗重点实验室，北京100053
魏玲，博士生，研究方向：神经电生理信号分析，E-mail：daina003@163.com

收稿日期: 2013-07-20

  修回日期: 2014-04-04

  网络出版日期: 2014-04-04

基金资助

国家自然科学基金(No.61171032)；上海市教委自然科学创新重点项目基金(No.12ZZ099)；北京市重点实验室-脑功能疾病调控
治疗实验室开放研究课题基金(No.2013NBTK02)资助

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Entropy Analysis of EEG for Elderly Patients with Mild Cognitive Impairment

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  • 1. School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China
    2. Xuanwu Hospital, Capital Medical University, Beijing 100053, China
    3. Beijing Key Laboratory of Neuromodulation, Beijing 100053, China

Received date: 2013-07-20

  Revised date: 2014-04-04

  Online published: 2014-04-04

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摘要

选取8名轻度认知障碍(mild cognitive impairment, MCI)老年人和17名正常老年人参与图片颜色的认
知任务，并同步记录他们的脑电信号，然后采用相对能量、样本熵和累积残余熵分析方法，研究这两组被试在执
行任务时的不同脑区脑电活动的差异. 研究发现：1) 两组被试alpha相对能量无差异，但MCI患者额中央区和顶
枕中央区的脑电熵高于正常人；2)两组被试额区脑电的熵值都高于其他区域，中线区域的脑电熵值低于左右半
球；3)刺激类型对两组被试的脑电活动有影响，在完成匹配任务时，两组被试大脑前侧区域的脑电活动更为复杂，
并且正常人大脑右侧中央区域的脑电活动复杂性较高；4)与样本熵相比，累积残余熵能更细致地刻画出MCI患者
脑电的非线性特征. 结果表明，MCI患者认知过程中的脑电活动存在异常，信号更为复杂. 与样本熵相比，累积残
余熵更适合于分析脑电的非线性特征.

关键词： 轻度认知障碍; 脑电; 相对能量; 样本熵; 累积残余熵

本文引用格式

魏玲1， 赵建强1， 施俊1， 薛青2,3， 王玉平2,3， 李颖洁1 . 老年轻度认知障碍患者的脑电熵分析[J]. 应用科学学报, 2014 , 32(6) : 631 -638 . DOI: 10.3969/j.issn.0255-8297.2014.06.013

Abstract

 In this study, eight elderly patients with mild cognitive impairment (MCI) and 17 normal controls
participated in a cognition task. The subjects were asked to judge whether the color of two graphics is matched
or not, and their scalp electroencephalographs (EEG) were recorded. We calculated the relative power, sample
entropy (SEn) and cumulative residual entropy (CREn) of the event-related EEG signals to explore differences
between the MCI patients and normal controls. The following results were obtained. 1) There was no
difference in alpha relative power, while the MCI patients had higher complexity at medial-frontal and medialposterior
regions than the normal controls. 2) The frontal region showed significantly higher complexity than
other regions and the center hemisphere had lower complexity than left and right hemisphere in both groups
throughout the task. 3) Complexity in anterior brain in match task was higher than that in mismatch task
in both groups. Normal controls had more complex EEG activity during the match task in the right-center
region. 4) Relative to SEn, the analysis of CREn found more specific nonlinear characteristic in the EEG of
MCI patients. All these results show the MCI patients have abnormal EEG activity in brain, and CREn is
more suitable for describing the nonlinear characteristic of EEG than SEn.

Key words： cognitive impairment (MCI); electroencephalographs (EEG); relative power; sample entropy; cumulative residual entropy

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