Influence of Cognitive Faculty on Event-Related Potential with Approximate Entropy Analysis

徐进; 杜占芳; 郑崇勋; 裴晓梅

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Influence of Cognitive Faculty on Event-Related Potential with Approximate Entropy Analysis

更新时间：2025-12-08

- Influence of Cognitive Faculty on Event-Related Potential with Approximate Entropy Analysis
- Vol. 42, Issue 10, Pages: 1300-1303(2008)
- 作者机构：
  
  西安交通大学生物医学信息工程教育部重点实验室,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC： R318.4
- Online First：10 October 2008，
  
  Published：2008
- 稿件说明：
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徐进, 杜占芳, 郑崇勋, et al. Influence of Cognitive Faculty on Event-Related Potential with Approximate Entropy Analysis[J]. 2008, 42(10): 1300-1303.
DOI：

徐进, 杜占芳, 郑崇勋, et al. Influence of Cognitive Faculty on Event-Related Potential with Approximate Entropy Analysis[J]. 2008, 42(10): 1300-1303. DOI：

摘要

选择青年组、血管性痴呆(VD)组以及与VD同一年龄段的正常老年组作为被试人群

其中VD组又依据简易智能量表的测试结果细分为轻度和重度VD组.采用视觉通道诱发的oddball实验模式

并对事件相关电位(ERP)信号进行近似熵分析.通过对不同被试组的近似熵对比发现

重度VD患者近似熵在整个实验过程中基本保持稳定

没有显著变化

而其余被试组随着刺激任务的开始

近似熵下降

随着任务的结束

近似熵升高.其次

轻度VD组的近似熵值明显高于老年组和青年组

尤其是在任务反应阶段其差异程度更为显著.ERP的近似熵分析较为清晰地展现出具有不同程度认知能力的被试者在执行认知任务过程中脑活动的变化

有效地反映了其大脑认知加工的过程和能力的大小.因此

近似熵为VD的早期诊断及程度分级提供了一个有效的途径.

Abstract

To extract the electrophysiology characteristic index for early diagnosis of vascular dementia(VD)

the event related potential(ERP)of persons with different cognitive faculty was analyzed. Vascular demented patients were compared with healthy elderly control group and youth group

and VD patients also were divided in two groups

mild and serious VD patients according to mini mental scale examination results. The visual oddball paradigm was used and ERP signals were analyzed by approximate entropy(ApEn). The results show that ApEns of serious VD patients do not change obviously and remain stably. On the contrary

the ApEns of other groups decrease as stimulus appears and increase as stimulus over.The ApEn of mild VD patient gets higher than that of healthy elderly control and youth

and the difference degree becomes the largest during stimulus reaction. ApEn analysis demonstrates the brain activity change of subjects with different cognitive faculty clearly during cognitive work

and the reflect degree of cognitive ability of brain

which provides a novel method for early diagnosis and classification of VD.

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Keywords

references

魏景汉,罗跃嘉.认知事件相关脑电位教程[M].北京:经济日报出版社,2002.

PINCUS S M. Approximate entropy: a complexity measure for biological time series data[C]∥ Proceedings of the Northeast Conference on Bioengineering. Piscataway, NJ, USA: IEEE, 1991: 35-36.

YANG Fusheng, HONG Bo, TANG Qingyu. Approximate entropy and its application in biosignal analysis [M]. New York, USA: IEEE Press, 2001: 72-91.

REZEK I A, ROBERTS S J. Stochastic complexity measures for physiological signal analysis[J]. IEEE Trans on Biomedical Engineering, 1998,45(9):1186-1191.

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