H. Garn, M. Waser, M. Deistler, R. Schmidt, P. Dal-Bianco, G. Ransmayr, J. Zeitlhofer, H. Schmidt, S. Seiler, G. Sanin, G. Caravias, P. Santer, D. Grossegger, W. Frühwirth, T. Benke:
"Quantitative EEG in Alzheimer's disease: Cognitive state, resting state and association with disease severity";
International Journal of Psychophysiology,
Background: Quantitative electroencephalogram (qEEG) recorded during cognitive tasks has been shown to
differentiate between patients with Alzheimer's disease (AD) and healthy individuals. However, the association
between various qEEG markers recorded during mnestic paradigms and clinical measures of AD has not been
studied in detail.
Objective: To evaluate if `cognitive´ qEEG is a useful diagnostic option, particularly if memory paradigms are used
as cognitive stimulators.
Methods: This study is part of the Prospective Registry on Dementia in Austria (PRODEM), amulticenter dementia
research project. A cohort of 79 probable AD patients was included in a cross-sectional analysis. qEEG recordings
performed in resting states were compared with recordings during cognitively active states. Cognition was
evokedwith a face-name paradigmand a paired-associateword list task, respectively. Relative band powers, coherence
and auto-mutual information were computed as functions of MMSE scores for the memory paradigms
and during rest. Analyseswere adjusted for the co-variables age, sex, duration of dementia and educational level.
Results: MMSE scores explained 36-51% of the variances of qEEG-markers. Face-name encoding with eyes open
was superior to resting state with eyes closed in relative theta and beta1 power as well as coherence, whereas
relative alpha power and auto-mutual information yielded more significant results during resting state with
eyes closed. The face-name task yielded stronger correlations with MMSE scores than the verbal memory task.
Conclusion: qEEG alterations recorded during mnestic activity, particularly face-name encoding showed the
highest association with the MMSE and may serve as a clinically valuable marker for disease severity.
Alzheimer's disease Quantitative EEG Cognitive state Resting state
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