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http://dx.doi.org/10.9718/JBER.2010.31.1.027

Mean Phase Coherence as a Supplementary Measure to Diagnose Alzheimer's Disease with Quantitative Electroencephalogram (qEEG)  

Che, Hui-Je (Department of Biomedical Engineering, Yonsei University)
Jung, Young-Jin (Department of Biomedical Engineering, Yonsei University)
Lee, Seung-Hwan (Department of Neuropsychiatry, Inje University Ilsan-Paik Hospital)
Im, Chang-Hwan (Department of Biomedical Engineering, Yonsei University)
Publication Information
Journal of Biomedical Engineering Research / v.31, no.1, 2010 , pp. 27-32 More about this Journal
Abstract
Noninvasive detection of patients with probable Alzheimer's disease (AD) is of great importance for assisting a medical doctor's decision for early treatment of AD patients. In the present study, we have extracted quantitative electroencephalogram (qEEG) variables, which can be potentially used to diagnose AD, from resting eyes-closed continuous EEGs of 22 AD patients and 27 age-matched normal control (NC) subjects. We have extracted qEEG variables from mean phase coherence (MPC) and EEG coherence, evaluated for all possible combinations of electrode pairs. Preliminary trials to discriminate the two groups with the extracted qEEG variables demonstrated that the use of MPC as a supplementary or alternative measure for the EEG coherence may enhance the accuracy of noninvasive diagnosis of AD.
Keywords
Alzheimer's disease (AD); dementia; EEG coherence; mean phase coherence (MPC); quantitative electroencephalogram (qEEG);
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