Analysis of regularity in the EEG background activity of Alzheimer's disease patients with Approximate Entropy
Analysis of regularity in the EEG background activity of Alzheimer's disease patients with Approximate Entropy
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DOI：
10.1016/j.clinph.2005.04.001
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发表时间：
2005-08-01
影响因子：
4.7
通讯作者：
de la Rosa, R
中科院分区：
文献类型：
--
作者：
Abásolo, D;Hornero, R;de la Rosa, R
目的：为探讨阿尔茨海默病（Alzheimer's disease，AD）患者脑电背景活动的规律性，以验证AD患者脑电背景活动的不规则性低于正常人的假设，对10例AD患者和8例正常人的19个头皮电极记录脑电，并估计近似熵（ApEn）。近似熵是一种非线性统计量，可用于量化时间序列的不规则性。较大的值对应于更复杂或更不规则。结果：AD患者P3、P4电极的ApEn值明显降低（P < 0.01），提示不规则性减少。我们在P3获得了70%的灵敏度和100%的特异性，在P4获得了80%的灵敏度和75%的特异性。结果似乎是互补的频谱analysis.Conclusions：在AD患者的EEG中发现的不规则性降低，在顶叶区域导致我们认为，EEG分析与ApEn可能是一个有用的工具，以增加我们的洞察力，在AD脑功能障碍。然而，应谨慎应用，由于小样本size.Significance：这篇文章是第一步，证明了ApEn识别AD的EEG变化的可行性。(c)2005年国际临床神经生理学联合会。由Elsevier爱尔兰有限公司出版。保留所有权利。
Objective: The aim of this study was to analyse the regularity of the EEG background activity of Alzheimer's disease (AD) patients to test the hypothesis that the irregularity of the AD patients' EEG is lower than that of age-matched controls.Methods: We recorded the EEG from 19 scalp electrodes in 10 AD patients and 8 age-matched controls and estimated the Approximate Entropy (ApEn). ApEn is a non-linear statistic that can be used to quantify the irregularity of a time series. Larger values correspond to more complexity or irregularity. A spectral analysis was also performed.Results: ApEn was significantly lower in the AD patients at electrodes P3 and P4 (P < 0.01), indicating a decrease of irregularity. We obtained 70% sensitivity and 100% specificity at P3, and 80% sensitivity and 75% specificity at P4. Results seemed to be complementary to spectral analysis.Conclusions: The decreased irregularity found in the EEG of AD patients in the parietal region leads us to think that EEG analysis with ApEn could be a useful tool to increase our insight into brain dysfunction in AD. However, caution should be applied due to the small sample size.Significance: This article represents a first step in demonstrating the feasibility of ApEn for recognition of EEG changes in AD. (c) 2005 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.