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O4‐09‐03: Eeg Dominant Frequency Peak Differentiates Between Alzheimer's Disease and Frontotemporal Lobar Degeneration
Author(s) -
Goossens Joery,
Laton Jorne,
Van Schependom Jeroen,
Gielen Jeroen,
Struyfs Hanne,
Van Mossevelde Sara,
Van den Bossche Tobi,
Goeman Johan,
Paul de Deyn Peter,
Sieben Anne,
Martin Jean-Jacques,
Van Broeckhoven Christine,
van der Zee Julie,
Nagels Guy,
Engelborghs Sebastiaan
Publication year - 2016
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2016.06.656
Subject(s) - frontotemporal lobar degeneration , electroencephalography , frontotemporal dementia , c9orf72 , dementia , psen1 , audiology , psychology , biomarker , alzheimer's disease , pathology , medicine , neuroscience , disease , cardiology , presenilin , biology , genetics
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.