Yener G G, Leuchter A F, Jenden D, Read S L, Cummings J L, Miller B L
Department of Neurology, Dokuz Eylul University Faculty of Medicine, Izmir Turkey.
Clin Electroencephalogr. 1996 Apr;27(2):61-8. doi: 10.1177/155005949602700204.
Accurate diagnosis of the major degenerative dementias continues to be problematic. Although diagnostic precision for Alzheimer's disease (AD) approaches 90%, for Frontotemporal dementias (FTD) it has been less than 20%. Previous work has shown that AD patients have both focal and generalized slowing, while in FTD the EEG is normal. We studied 26AD,13FTD and 27 health control subjects with Quantitative Electroencephalography (QEEG). Using only five QEEG measures with stepwise discriminant function analysis, we distinguished the AD from FTD groups each with 84.6% accuracy, and controls (100%) from FTD groups (84.6%) with high accuracy. The most informative QEEG variables for distinguishing FTD and AD were relative power from the temporal region in beta-2 band, and from the parietal region in the theta and alpha and beta-2 bands. These results suggest that QEEG may be helpful in distinguishing subjects with AD from subjects with FTD.
对主要退行性痴呆症的准确诊断仍然存在问题。尽管阿尔茨海默病(AD)的诊断精度接近90%,但额颞叶痴呆(FTD)的诊断精度一直低于20%。先前的研究表明,AD患者存在局灶性和全身性减慢,而FTD患者的脑电图是正常的。我们使用定量脑电图(QEEG)研究了26名AD患者、13名FTD患者和27名健康对照者。仅使用五项QEEG测量指标并通过逐步判别函数分析,我们区分AD组和FTD组的准确率均为84.6%,区分对照组(100%)和FTD组的准确率为84.6%,准确性很高。区分FTD和AD最具信息量的QEEG变量是β-2频段颞区的相对功率,以及θ、α和β-2频段顶区的相对功率。这些结果表明,QEEG可能有助于区分AD患者和FTD患者。