| Literature DB >> 27636837 |
Joery Goossens1, Jorne Laton2, Jeroen Van Schependom2, Jeroen Gielen2, Hanne Struyfs1, Sara Van Mossevelde3,4,5, Tobi Van den Bossche3,4,5, Johan Goeman3, Peter Paul De Deyn1,3,6, Anne Sieben6, Jean-Jacques Martin6, Christine Van Broeckhoven4,5, Julie van der Zee4,5, Sebastiaan Engelborghs1,3, Guy Nagels2.
Abstract
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.Entities:
Keywords: Alzheimer’s disease; biomarkers; differential diagnosis; electroencephalography; frontotemporal lobardegeneration
Mesh：
Year: 2017 PMID： 27636837 DOI： 10.3233/JAD-160188
Source DB: PubMed Journal: J Alzheimers Dis ISSN： 1387-2877 Impact factor: 4.472