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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Detalhes bibliográficos
Publicado no:Front Neurosci
Main Authors: 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
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2017
Assuntos:
Neuroscience
Acesso em linha: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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