[Zurück]

M. Waser, H. Garn, M. Deistler, T. Benke, P. Dal-Bianco, G. Ransmayr, H. Schmidt, G. Sanin, P. Santer, G. Caravias, S. Seiler, D. Grossegger, W. Frühwirth, R. Schmidt:
"Using Static and Dynamic Canonical Correlation Coefficients as Quantitative EEG Markers for Alzheimer´s Disease Severity";
in: "Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE", herausgegeben von: IEEE; IEEE Xplore, Chicago, IL, 2014, S. 2801 - 2804.

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 d and q 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.

bioelectric potentials cognition diseases electroencephalography medical signal processing neurophysiology regression analysis

http://dx.doi.org/10.1109/EMBC.2014.6944205