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ICONIP
2007

A Comparative Study of Synchrony Measures for the Early Detection of Alzheimer's Disease Based on EEG

12 years 1 months ago
A Comparative Study of Synchrony Measures for the Early Detection of Alzheimer's Disease Based on EEG
It has repeatedly been reported in the medical literature that the EEG signals of Alzheimer’s disease (AD) patients are less synchronous than in age-matched control patients. This phenomenon, however, does at present not allow to reliably predict AD at an early stage, so-called mild cognitive impairment (MCI), due to the large variability among patients. In recent years, many novel techniques to quantify EEG synchrony have been developed; some of them are believed to be more sensitive to abnormalities in EEG synchrony than traditional measures such as the cross-correlation coefficient. In this paper, a wide variety of synchrony measures is investigated in the context of AD detection, including the cross-correlation coefficient, the mean-square and phase coherence function, Granger causality, the recently proposed correntropy coefficient and two novel extensions, phase synchrony indices derived from the Hilbert transform and time-frequency maps, informationtheoretic divergence measure...
Justin Dauwels, François B. Vialatte, Andrz
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where ICONIP
Authors Justin Dauwels, François B. Vialatte, Andrzej Cichocki
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