Escudero J, Abásolo D, Hornero R, Espino P, López M
ETS Ingenieros de Telecomunicación, University of Valladolid, Camino del Cementerio s/n, 47011, Valladolid, Spain.
Physiol Meas. 2006 Nov;27(11):1091-106. doi: 10.1088/0967-3334/27/11/004. Epub 2006 Sep 12.
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.
本研究的目的是使用多尺度熵（MSE）分析阿尔茨海默病（AD）患者的脑电图（EEG）背景活动。MSE是一种最近开发的方法，用于量化信号在不同时间尺度上的规律性。这些时间尺度通过由分析信号形成的几个粗粒化序列进行检查。我们记录了11名AD患者和11名年龄匹配对照者的19个头皮电极的脑电图，并估计了脑电图记录每个时段的MSE分布。MSE分布的形状揭示了脑电图的复杂性，这表明脑电图在比最小尺度更深的尺度上包含信息。此外，结果表明，AD患者的脑电图背景活动比对照受试者的复杂性更低。我们发现两个受试者组在电极F3、F7、Fp1、Fp2、T5、T6、P3、P4、O1和O2处存在显著差异（p值<0.01，学生t检验）。这些发现表明，通过MSE在更深时间尺度上进行的脑电图复杂性分析可能是增加我们对AD认识的有用工具。
