Analysis of electroencephalograms in Alzheimer's disease patients with multiscale entropy
Analysis of electroencephalograms in Alzheimer's disease patients with multiscale entropy
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DOI：
10.1088/0967-3334/27/11/004
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发表时间：
2006-11-01
影响因子：
3.2
通讯作者：
Lopez, M.
中科院分区：
文献类型：
--
作者：
Escudero, J.;Abasolo, D.;Lopez, M.
本研究的目的是利用多尺度熵（MSE）分析阿尔茨海默病（AD）患者的脑电图（EEG）背景活动。MSE是最近发展起来的一种量化信号在不同时间尺度上的规律性的方法。这些时间尺度通过由分析信号形成的几个粗粒度序列来检查。我们记录了11名AD患者和11名年龄匹配的对照者的19个头皮电极的脑电图，并估计了脑电图记录每个时期的MSE谱。MSE谱的形状反映了脑电信号的复杂性，表明脑电信号比最小的脑电信号包含更深尺度的信息。此外，结果表明，AD患者的脑电图背景活动比对照组更复杂。在F3、F7、Fp1、Fp2、T5、T6、P3、P4、O1和O2电极上，两组间存在显著性差异（p值< 0.01,Student’st检验）。这些发现表明，MSE在更深的时间尺度上进行的EEG复杂性分析可能是一个有用的工具，以增加我们对阿尔茨海默病的认识。
The aim of this study was to analyse the electroencephalogram ( EEG) background activity of Alzheimer's disease ( AD) patients using multiscale entropy (MSE). MSE is a recently developed method that quantifies the regularity of a signal on different time scales. These time scales are inspected by means of several coarse-grained sequences formed from the analysed signals. We recorded the EEGs from 19 scalp electrodes in 11 AD patients and 11 age-matched controls and estimated the MSE profile for each epoch of the EEG recordings. The shape of the MSE profiles reveals the EEG complexity, and it suggests that the EEG contains information in deeper scales than the smallest one. Moreover, the results showed that the EEG background activity is less complex in AD patients than control subjects. We found significant differences between both subject groups at electrodes F3, F7, Fp1, Fp2, T5, T6, P3, P4, O1 and O2 (p-value < 0.01, Student's t-test). These findings indicate that the EEG complexity analysis performed on deeper time scales by MSE may be a useful tool in order to increase our knowledge of AD.