Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

Logo MUG-Forschungsportal

Gewählte Publikation:

SHR Neuro Krebs Kardio Lipid

Garn, H; Waser, M; 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.
Quantitative EEG markers relate to Alzheimer's disease severity in the Prospective Dementia Registry Austria (PRODEM).
Clin Neurophysiol. 2015; 126(3):505-513
Web of Science PubMed FullText FullText_MUG

 

Autor/innen der Med Uni Graz:
Schmidt Helena
Schmidt Reinhold
Seiler Stephan
Altmetrics:

Dimensions Citations:

Plum Analytics:
Abstract:
To investigate which single quantitative electro-encephalographic (QEEG) marker or which combination of markers correlates best with Alzheimer's disease (AD) severity as measured by the Mini-Mental State Examination (MMSE). We compared quantitative EEG markers for slowing (relative band powers), synchrony (coherence, canonical correlation, Granger causality) and complexity (auto-mutual information, Shannon/Tsallis entropy) in 118 AD patients from the multi-centric study PRODEM Austria. Signal spectra were determined using an indirect spectral estimator. Analyses were adjusted for age, sex, duration of dementia, and level of education. For the whole group (39 possible, 79 probable AD cases) MMSE scores explained 33% of the variations in relative theta power during face encoding, and 31% of auto-mutual information in resting state with eyes closed. MMSE scores explained also 25% of the overall QEEG factor. This factor was thus subordinate to individual markers. In probable AD, QEEG coefficients of determination were always higher than in the whole group, where MMSE scores explained 51% of the variations in relative theta power. Selected QEEG markers show strong associations with AD severity. Both cognitive and resting state should be used for QEEG assessments. Our data indicate theta power measured during face-name encoding to be most closely related to AD severity. Copyright © 2014 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.
Find related publications in this database (using NLM MeSH Indexing)
Aged -
Aged, 80 and over -
Alzheimer Disease - diagnosis
Alzheimer Disease - physiopathology
Austria -
Biomarkers -
Brain - physiopathology
Electroencephalography -
Female -
Humans -
Male -
Middle Aged -
Neuropsychological Tests -
Prospective Studies -
Registries -
Severity of Illness Index -

Find related publications in this database (Keywords)
PRODEM
Alzheimer's disease
Quantitative electroencephalogram
© Meduni Graz Impressum