caa a22 4500 606162682 CHVBK 20210128100640.0 cr unu---uuuuu 210128e20150201xx s 000 0 eng 10.1007/s11062-015-9496-z doi (NATIONALLICENCE)springer-10.1007/s11062-015-9496-z Linear and Nonlinear EEG Synchronization in Alzheimer's Disease [Elektronische Daten] [O. Vyšata, M. Vališ, A. Procházka, R. Rusina, L. Pazdera] As is known, Alzheimer's disease (AD) is associated with cognitive deficits due to significant neuronal loss. Reduced connectivity might be manifested as changes in the synchronization of electrical activity of collaborating parts of the brain. We used wavelet coherence to estimate linear/nonlinear synchronization between EEG samples recorded from different leads. Mutual information was applied to the complex wavelet coefficients in wavelet scales to estimate nonlinear synchronization. Synchronization rates for a group of 110 patients with moderate AD (MMSE score 10 to 19) and a group of 110 healthy control subjects were compared. The most significant decrease in mutual information in AD patients was observed on the third scale in the fronto-temporal area and for wavelet coherence within the same areas as for mutual information; these areas are preferentially affected by atrophy in AD. The new method used utilizes mutual information in wavelet scales and demonstrates larger discriminatory values in AD compared to wavelet coherence. Springer Science+Business Media New York, 2015 Alzheimer's disease (AD) nationallicence electroencephalography nationallicence EEG synchronization nationallicence mutual information nationallicence wavelet coherence nationallicence Vyšata O. Department of Computing and Control Engineering, Institute of Chemical Technology, Prague, Czech Republic aut Vališ M. Department of Neurology, Faculty of Medicine in Hradec Králové, Charles University, Hradec Králové, Czech Republic aut Procházka A. Department of Computing and Control Engineering, Institute of Chemical Technology, Prague, Czech Republic aut Rusina R. Department of Neurology, Thomayer Hospital and Institute for Postgraduate Education in Medicine, Prague, Czech Republic aut Pazdera L. Neurocentre Caregroup Ltd., Rychnov nad Kneznou, Czech Republic aut Neurophysiology Springer US; http://www.springer-ny.com 47/1(2015-02-01), 46-52 0090-2977 47:1<46 2015 47 11062 https://doi.org/10.1007/s11062-015-9496-z text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11062-015-9496-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Vyšata O. Department of Computing and Control Engineering, Institute of Chemical Technology, Prague, Czech Republic aut NATIONALLICENCE 700 1- Vališ M. Department of Neurology, Faculty of Medicine in Hradec Králové, Charles University, Hradec Králové, Czech Republic aut NATIONALLICENCE 700 1- Procházka A. Department of Computing and Control Engineering, Institute of Chemical Technology, Prague, Czech Republic aut NATIONALLICENCE 700 1- Rusina R. Department of Neurology, Thomayer Hospital and Institute for Postgraduate Education in Medicine, Prague, Czech Republic aut NATIONALLICENCE 700 1- Pazdera L. Neurocentre Caregroup Ltd., Rychnov nad Kneznou, Czech Republic aut NATIONALLICENCE 773 0- Neurophysiology Springer US; http://www.springer-ny.com 47/1(2015-02-01), 46-52 0090-2977 47:1<46 2015 47 11062