Classification of Healthy Subjects and Alzheimer's Disease Patients with Dementia from Cortical Sources of Resting State EEG Rhythms: A Study Using Artificial Neural Networks

Previous evidence showed a 75.5% best accuracy in the classification of 120 Alzheimer's disease (AD) patients with dementia and 100 matched normal elderly (Nold) subjects based on cortical source current density and linear lagged connectivity estimated by eLORETA freeware from resting state eye...

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Detaylı Bibliyografya
Yayımlandı:Front Neurosci
Asıl Yazarlar: Triggiani, Antonio I., Bevilacqua, Vitoantonio, Brunetti, Antonio, Lizio, Roberta, Tattoli, Giacomo, Cassano, Fabio, Soricelli, Andrea, Ferri, Raffaele, Nobili, Flavio, Gesualdo, Loreto, Barulli, Maria R., Tortelli, Rosanna, Cardinali, Valentina, Giannini, Antonio, Spagnolo, Pantaleo, Armenise, Silvia, Stocchi, Fabrizio, Buenza, Grazia, Scianatico, Gaetano, Logroscino, Giancarlo, Lacidogna, Giordano, Orzi, Francesco, Buttinelli, Carla, Giubilei, Franco, Del Percio, Claudio, Frisoni, Giovanni B., Babiloni, Claudio
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Frontiers Media S.A. 2017
Konular:
Neuroscience
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC5266711/
https://ncbi.nlm.nih.gov/pubmed/28184183
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2016.00604
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