Goossens Joery, Laton Jorne, Van Schependom Jeroen, Gielen Jeroen, Struyfs Hanne, Van Mossevelde Sara, Van den Bossche Tobi, Goeman Johan, De Deyn Peter Paul, Sieben Anne, Martin Jean-Jacques, Van Broeckhoven Christine, van der Zee Julie, Engelborghs Sebastiaan, Nagels Guy
Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp, Wilrijk, Belgium.
Center for Neurosciences, Vrije Universiteit Brussel, Brussel, Belgium.
J Alzheimers Dis. 2017;55(1):53-58. doi: 10.3233/JAD-160188.
We investigated the power of EEG as biomarker in differential diagnosis of Alzheimer's disease (AD) and frontotemporal lobar degeneration (FTLD). EEG was recorded from 106 patients with AD or FTLD, of which 37 had a definite diagnosis, and 40 controls. Dominant frequency peaks were extracted for all 19 channels, for each subject. The average frequency of the largest dominant frequency peaks (maxpeak) was significantly lower in AD than FTLD patients and controls. Based on ROC analysis, classification could be made with diagnostic accuracy of 78.9%. Our findings show that quantitative analysis of EEG maxpeak frequency is an easy and useful measure for differential dementia diagnosis.
我们研究了脑电图（EEG）作为阿尔茨海默病（AD）和额颞叶变性（FTLD）鉴别诊断生物标志物的效能。记录了106例AD或FTLD患者的脑电图，其中37例有明确诊断，另有40例为对照。为每个受试者的所有19个通道提取优势频率峰值。AD患者最大优势频率峰值（maxpeak）的平均频率显著低于FTLD患者和对照。基于ROC分析，诊断准确率可达78.9%。我们的研究结果表明，EEG最大峰值频率的定量分析是一种简单且有用的鉴别痴呆诊断的方法。
