EEG Dominant Frequency Peak Differentiates Between Alzheimer’s Disease and Frontotemporal Lobar Degeneration

Article type: Research Article

Authors: Goossens, Joery^{a; 1} | Laton, Jorne^{c; 1} | Van Schependom, Jeroen^c | Gielen, Jeroen^c | Struyfs, Hanne^a | Van Mossevelde, Sara^{b; d; e} | Van den Bossche, Tobi^{b; d; e} | Goeman, Johan^b | De Deyn, Peter Paul^{a; b; f} | Sieben, Anne^f | Martin, Jean-Jacques^f | Van Broeckhoven, Christine^{d; e} | van der Zee, Julie^{d; e} | Engelborghs, Sebastiaan^{a; b; 2; *} | Nagels, Guy^{c; 2}

Affiliations: [a] Reference Center for Biological Markers of Dementia (BIODEM), Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp, Wilrijk, Belgium | [b] Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim and Hoge Beuken, Antwerpen, Belgium | [c] Center for Neurosciences, Vrije Universiteit Brussel, Brussel, Belgium | [d] Neurodegenerative Brain Diseases Group, Department of Molecular Genetics, VIB, Wilrijk, Belgium | [e] Laboratory of Neurogenetics, Institute Born-Bunge, University of Antwerp, Wilrijk, Belgium | [f] Biobank, Institute Born-Bunge, University of Antwerp, Wilrijk, Belgium

Correspondence: [*] Correspondence to: Prof. Dr. Sebastiaan Engelborghs, Reference Center for Biological Markers of Dementia (BIODEM), University of Antwerp, Universiteitsplein 1, B-2610 Antwerp, Belgium. Tel.: +323 265 23 94; Fax: +323 265 26 69; E-mail: sebastiaan.engelborghs@uantwerpen.be.

Note: [1] These authors contributed equally to this work.

Note: [2] Joint last authors.

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.

Keywords: Alzheimer’s disease, biomarkers, differential diagnosis, electroencephalography, frontotemporal lobardegeneration

DOI: 10.3233/JAD-160188

Journal: Journal of Alzheimer's Disease, vol. 55, no. 1, pp. 53-58, 2017