Chen Chih-Chung, Hsu Chien-Yeh, Chiu Hung-Wen, Hu Chaur-Jong, Lee Tsung-Chieh
Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan; Department of Neurology, Taipei Medical University-Shuang Ho Hospital, Taipei, Taiwan.
Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan.
J Formos Med Assoc. 2015 Aug;114(8):729-35. doi: 10.1016/j.jfma.2013.07.008. Epub 2013 Aug 19.
BACKGROUND/PURPOSE: Slowing of average electroencephalography (EEG) frequency in Alzheimer's disease (AD) is well established, but whether EEG changes are able to reflect the severity of AD is uncertain. We attempt to establish quantitative EEG parameters that are suitable for evaluating AD in clinical practice.
Ninety-five patients with newly diagnosed AD at different stages from four neurologic institutes were enrolled for the study. Standard scalp resting EEG data were collected for quantitative analysis. Global band power ratio and interhemispheric alpha band coherence were calculated.
Patients with advanced AD had a greater slow-to-fast wave power ratio. Among several power ratio parameters, global theta and delta to alpha and beta band power ratio showed the best correlation with stages of AD (p < 0.05 between any two patient groups). Patients with advanced AD had decreased coherence in multiple brain regions. The phenomenon was most prominent in the centroparietal region (p < 0.05 between any two patient groups).
Increased global slow-to-fast power ratio and decreased centroparietal interhemispheric alpha band coherence are strongly correlated with disease progress in AD patients. These two quantitative EEG parameters may help evaluate AD patients in daily clinical practice. Global power ratio changes may suggest a shift of dominant frequency, and decreased interhemispheric alpha band coherence may suggest functional disconnection and corpus callosum abnormalities in AD patients.
背景/目的：阿尔茨海默病（AD）患者平均脑电图（EEG）频率减慢已得到充分证实，但EEG变化是否能够反映AD的严重程度尚不确定。我们试图建立适用于临床实践中评估AD的定量EEG参数。
本研究纳入了来自四个神经科机构的95例不同阶段新诊断的AD患者。收集标准头皮静息EEG数据进行定量分析。计算全频段功率比和半球间α频段相干性。
晚期AD患者的慢波与快波功率比更高。在几个功率比参数中，全频段θ波和δ波与α波和β波的功率比与AD阶段的相关性最佳（任意两组患者之间p<0.05）。晚期AD患者多个脑区的相干性降低。这种现象在中央顶叶区域最为明显（任意两组患者之间p<0.05）。
全频段慢波与快波功率比增加以及中央顶叶半球间α频段相干性降低与AD患者的疾病进展密切相关。这两个定量EEG参数可能有助于在日常临床实践中评估AD患者。全频段功率比变化可能提示主导频率的改变，而半球间α频段相干性降低可能提示AD患者存在功能断开和胼胝体异常。
