阿尔茨海默病中的脑磁图分析：计算不同频段的近似熵
MEG analysis in Alzheimer's disease computing approximate entropy for different frequency bands.
作者信息
Gomez Carlos, Abasolo Daniel, Poza Jesus, Fernandez Alberto, Hornero Roberto
机构信息
Biomedical Engineering Group at Department of Signal Theory and Communications, E.T.S. Ingenieros de Telecomunicación, University of Valladolid, Campus Miguel Delibes, 47011, Spain.
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:2379-82. doi: 10.1109/IEMBS.2010.5627236.
The goal of this study was to analyze the magnetoencephalogram (MEG) background activity in patients with Alzheimer's disease (AD) using a regularity measure: approximate entropy (ApEn). This measure was computed for a broad band (0.5-40 Hz) as well as typical frequency bands (delta, theta, alpha, beta and gamma). Five minutes of recording were acquired with a 148-channel whole-head magnetometer in 15 patients with probable AD and 15 elderly control subjects. Our results showed that AD patients' MEGs were more regular than controls' recordings at all frequency bands, with the exception of beta. Additionally, there were statistically significant differences (p 〈 0.01, Student's t-test) at the broad and delta bands. Using receiver operating characteristic curves, the highest accuracy (83.33%) was reached at delta band. These results suggest the usefulness of ApEn to gain a better understanding of dynamical processes underlying the MEG recording.
本研究的目的是使用一种规律性测量方法
近似熵（ApEn），分析阿尔茨海默病（AD）患者的脑磁图（MEG）背景活动。该测量针对宽带（0.5 - 40 Hz）以及典型频段（δ、θ、α、β和γ）进行计算。使用148通道全头磁强计对15例可能患有AD的患者和15名老年对照受试者进行了5分钟的记录。我们的结果表明，除了β频段外，AD患者的MEG在所有频段都比对照记录更具规律性。此外，在宽带和δ频段存在统计学显著差异（p 〈 0.01，Student t检验）。使用受试者工作特征曲线，在δ频段达到了最高准确率（83.33%）。这些结果表明ApEn有助于更好地理解MEG记录背后的动态过程。
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