Publication
Title
EEG dominant frequency peak differentiates between Alzheimers disease and frontotemporal lobar degeneration
Author
Abstract
Abstract. We investigated the power of EEG as biomarker in differential diagnosis of Alzheimers 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.
Language
English
Source (journal)
Journal of Alzheimer's disease. - -
Publication
2017
ISSN
1387-2877
1875-8908 [Electronic]
DOI
10.3233/JAD-160188
Volume/pages
55 :1 (2017) , p. 53-58
ISI
000387671600004
Pubmed ID
27636837
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 10.11.2016
Last edited 09.10.2023
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