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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5266711/
https://www.ncbi.nlm.nih.gov/pubmed/28184183
http://dx.doi.org/10.3389/fnins.2016.00604

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5266711/
https://www.ncbi.nlm.nih.gov/pubmed/28184183
http://dx.doi.org/10.3389/fnins.2016.00604

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