Paper Info
Title
Using static and dynamic canonical correlation coefficients as quantitative EEG markers for Alzheimer's disease severity.
Abstract
We analyzed the relation between Alzheimer's disease (AD) severity as measured by Mini-Mental State Examination (MMSE) scores and quantitative electroencephalographic (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.
Year
DOI
Venue
2014
10.1109/EMBC.2014.6944205
international conference of the ieee engineering in medicine and biology society
Keywords
Field
DocType
dynamic canonical correlation coefficients,cognition,static canonical correlation coefficients,bioelectric potentials,diseases,left-hemispheric temporal channel groups,left-hemispheric central channel groups,neurophysiology,alzheimer disease severity analysis,minimental state examination scores,regression analysis,electroencephalography,homogeneous protocol,medical signal processing,left-hemispheric parietal channel groups,compensatory brain mechanisms,cognitive task,quantitative electroencephalographic synchrony markers,quadratic regression model,multicentric cohort study
Computer vision,Neuroscience,Disease,Canonical correlation,Psychology,Cognitive psychology,Artificial intelligence,Electroencephalography
Conference
Volume
ISSN
Citations 
2014
1557-170X
0
PageRank 
References 
Authors
0.34
2
14
Name
Order
Citations
PageRank
heinrich garn1367.05
manfred deistler211.06
Thomas Benke3283.95
peter dalbianco421.44
gerhard ransmayr521.78
gerhard ransmayr621.78
guenter sanin710.69
peter santer800.34
g caravias900.68
stephan seiler10111.62
dieter grossegger1121.10
wolfgang fruehwirt1201.01
wolfgang fruehwirt1301.01
markus waser1442.66