Gómez Carlos, Martínez-Zarzuela Mario, Poza Jesús, Díaz-Pernas Francisco J, Fernández Alberto, Hornero Roberto
Department of Signal Theory and Communications, E.T.S. Ingenieros de Telecomunicación, University of Valladolid, Campus Miguel Delibes, 47011 – Valladolid, Spain.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:6188-91. doi: 10.1109/EMBC.2012.6347407.
The aim of this study was to analyze the magnetoencephalography (MEG) background activity in Alzheimer's disease (AD) patients using cross-approximate entropy (Cross-ApEn). Cross-ApEn is a nonlinear measure of asynchrony between time series. Five minutes of recording were acquired with a 148-channel whole-head magnetometer in 12 AD patients and 12 age-matched control subjects. We found significantly higher synchrony between MEG signals from AD patients compared with control subjects. Additionally, we evaluated the ability of Cross-ApEn to discriminate these two groups using receiver operating characteristic (ROC) curves with a leave-one-out cross-validation procedure. We obtained an accuracy of 70.83% (66.67% sensitivity, 75% specificity) and a value of area under the ROC curve of 0.83. These results provide evidence of disconnection problems in AD. Our findings show the usefulness of Cross-ApEn to detect the brain dysfunction in AD.
本研究的目的是使用交叉近似熵（Cross-ApEn）分析阿尔茨海默病（AD）患者的脑磁图（MEG）背景活动。Cross-ApEn是时间序列之间异步性的一种非线性度量。使用148通道全头磁强计对12例AD患者和12名年龄匹配的对照受试者进行了5分钟的记录。我们发现，与对照受试者相比，AD患者的MEG信号之间的同步性显著更高。此外，我们使用留一法交叉验证程序，通过受试者工作特征（ROC）曲线评估了Cross-ApEn区分这两组的能力。我们获得了70.83%的准确率（66.67%的灵敏度，75%的特异性）以及ROC曲线下面积值为0.83。这些结果为AD中的连接中断问题提供了证据。我们的研究结果表明Cross-ApEn在检测AD脑功能障碍方面的有用性。
