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SHR Neuro Cancer Cardio Lipid

Waser, M; Garn, H; Schmidt, R; Benke, T; Dal-Bianco, P; Ransmayr, G; Schmidt, H; Seiler, S; Sanin, G; Mayer, F; Caravias, G; Grossegger, D; Frühwirt, W; Deistler, M.
Quantifying synchrony patterns in the EEG of Alzheimer's patients with linear and non-linear connectivity markers.
J Neural Transm (Vienna). 2016; 123(3):297-316 [OPEN ACCESS]
Web of Science PubMed PUBMED Central FullText FullText_MUG


Authors Med Uni Graz:
Schmidt Helena
Schmidt Reinhold
Seiler Stephan

Dimensions Citations:

Plum Analytics:
Number of Figures: 54
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We analyzed the relation of several synchrony markers in the electroencephalogram (EEG) and Alzheimer's disease (AD) severity as measured by Mini-Mental State Examination (MMSE) scores. The study sample consisted of 79 subjects diagnosed with probable AD. All subjects were participants in the PRODEM-Austria study. Following a homogeneous protocol, the EEG was recorded both in resting state and during a cognitive task. We employed quadratic least squares regression to describe the relation between MMSE and the EEG markers. Factor analysis was used for estimating a potentially lower number of unobserved synchrony factors. These common factors were then related to MMSE scores as well. Most markers displayed an initial increase of EEG synchrony with MMSE scores from 26 to 21 or 20, and a decrease below. This effect was most prominent during the cognitive task and may be owed to cerebral compensatory mechanisms. Factor analysis provided interesting insights in the synchrony structures and the first common factors were related to MMSE scores with coefficients of determination up to 0.433. We conclude that several of the proposed EEG markers are related to AD severity for the overall sample with a wide dispersion for individual subjects. Part of these fluctuations may be owed to fluctuations and day-to-day variability associated with MMSE measurements. Our study provides a systematic analysis of EEG synchrony based on a large and homogeneous sample. The results indicate that the individual markers capture different aspects of EEG synchrony and may reflect cerebral compensatory mechanisms in the early stages of AD.
Find related publications in this database (using NLM MeSH Indexing)
Aged -
Aged, 80 and over -
Alzheimer Disease - physiopathology
Brain - physiopathology
Cortical Synchronization - physiology
Electroencephalography -
Female -
Humans -
Male -
Middle Aged -
Signal Processing, Computer-Assisted -

Find related publications in this database (Keywords)
EEG synchrony markers
Alzheimer's disease
Compensatory mechanism
Granger causality
Canonical correlation
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