Analysis of EEG background activity in Alzheimer's disease patients with Lempel-Ziv complexity and central tendency measure
Analysis of EEG background activity in Alzheimer's disease patients with Lempel-Ziv complexity and central tendency measure
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DOI：
10.1016/j.medengphy.2005.07.004
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发表时间：
2006-05-01
影响因子：
2.2
通讯作者：
López, M
中科院分区：
文献类型：
--
作者：
Abásolo, D;Hornero, R;López, M
在这项研究中，我们使用非线性分析方法研究了阿尔茨海默病 (AD) 患者的脑电图 (EEG) 背景活动。我们计算了 11 名 AD 患者和 11 名年龄匹配的对照受试者的 Lempel-Ziv (LZ) 复杂性（应用两种不同的序列转换方法）和 EEG 的集中趋势测量（CTM）。 CTM 量化了变异程度，而 LZ 复杂度则反映了新模式随 EEG 时间序列的出现率。我们没有发现 AD 患者和对照受试者的 CTM 脑电图之间存在显着差异。另一方面，AD 患者在使用两个符号序列转换的电极 P3 和 O1 以及使用三个符号的 P3、P4、O1 和 T5 处具有显着较低的 LZ 复杂度值 (p < 0.01)。我们的结果显示 AD 患者脑电图模式的复杂性降低。此外，我们在 01 时获得了 90.9% 的敏感性和 72.7% 的特异性，在 P3 和 P4 时获得了 72.7% 的敏感性和 90.9% 的特异性。这些发现表明，LZ 复杂性可能有助于增加对 AD 脑功能障碍的了解，而这是使用更经典和传统的统计方法无法实现的。 (c) 2005 年 IPEM。由爱思唯尔有限公司出版。保留所有权利。
In this study we have investigated the electroencephalogram (EEG) background activity in patients with Alzheimer's disease (AD) using non-linear analysis methods. We calculated the Lempel-Ziv (LZ) complexity - applying two different sequence conversion methods - and the central tendency measure (CTM) of the EEG in 11 AD patients and 11 age-matched control subjects. CTM quantifies the degree of variability, while LZ complexity reflects the arising rate of new patterns along with the EEG time series. We did not find significant differences between AD patients and control subjects' EEGs with CTM. On the other hand, AD patients had significantly lower LZ complexity values (p < 0.01) at electrodes P3 and O1 with a two-symbol sequence conversion, and P3, P4, O1 and T5 using three symbols. Our results show a decreased complexity of EEG patterns in AD patients. In addition, we obtained 90.9% sensitivity and 72.7% specificity at 01, and 72.7% sensitivity and 90.9% specificity at P3 and P4. These findings suggest that LZ complexity may contribute to increase the insight into brain dysfunction in AD in ways which are not possible with more classical and conventional statistical methods. (c) 2005 IPEM. Published by Elsevier Ltd. All rights reserved.