NDLI: Using static and dynamic canonical correlation coefficients as quantitative EEG markers for Alzheimer's disease severity

Content Provider	IEEE Xplore Digital Library
Author	Waser, M. Garn, H. Deistler, M. Benke, T. Dal-Bianco, P. Ransmayr, G. Schmidt, H. Sanin, G. Santer, P. Caravias, G. Seiler, S. Grossegger, D. Fruehwirt, W. Schmidt, R.
Copyright Year	2014
Description	Author affiliation: AIT Austrian Inst. of Technol. GmbH, Vienna, Austria (Waser, M.; Garn, H.) \|\| Dept. of Neurology, Vienna Med. Univ., Vienna, Austria (Dal-Bianco, P.; Santer, P.) \|\| Dept. of Neurology, Clinical Sect. of Neurogeriatrics, Graz Med. Univ., Graz, Austria (Seiler, S.; Schmidt, R.) \|\| Inst. of Mol. Biol. & Biochem., Graz Med. Univ., Graz, Austria (Schmidt, H.) \|\| Dept. of Neurology, Innsbruck Med. Univ., Innsbruck, Austria (Benke, T.; Sanin, G.) \|\| Inst. for Math. Methods in Econ., Vienna Univ. of Technol., Vienna, Austria (Deistler, M.) \|\| Dr. Grossegger & Drbal GmbH, Vienna, Austria (Grossegger, D.; Fruehwirt, W.) \|\| Dept. of Neurology & Psychiatry, Linz Gen. Hosp., Linz, Austria (Ransmayr, G.; Caravias, G.)
Abstract	We analyzed the relation between Alzheimer's disease (AD) severity as measured by Mini-Mental State Examination (MMSE) scores and quantitative electroencephalo-graphic (qEEG) markers that were derived from canonical correlation analysis. This allowed an investigation of EEG synchrony between groups of EEG channels. In this study, we applied the data from 79 participants in the multi-centric cohort study PRODEM-Austria with probable AD. Following a homogeneous protocol, the EEG was recorded both in resting state and during a cognitive task. A quadratic regression model was used to describe the relation between MMSE and the qEEG synchrony markers. This relation was most significant in the δ and θ frequency bands in resting state, and between left-hemispheric central, temporal and parietal channel groups during the cognitive task. Here, the MMSE explained up to 40% of the qEEG marker's variation. QEEG markers showed an ambiguous trend, i.e. an increase of EEG synchrony in the initial stage of AD (MMSE>20) and a decrease in later stages. This effect could be caused by compensatory brain mechanisms. We conclude that the proposed qEEG markers are closely related to AD severity. Despite the ambiguous trend and the resulting diagnostic ambiguity, the qEEG markers could provide aid in the diagnostics of early-stage AD.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	2801
Ending Page	2804
File Size	564796
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6944205
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electroencephalography Correlation Alzheimer's disease Electrodes Brain modeling Educational institutions
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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