Classification of single normal and Alzheimer’s disease individuals from cortical sources of resting state EEG rhythms

Classification of single normal and Alzheimer’s disease individuals from cortical sources of resting state EEG rhythms

Previous studies have shown abnormal power and functional connectivity of resting state electroencephalographic (EEG) rhythms in groups of Alzheimer’s disease (AD) compared to healthy elderly (Nold) subjects. Here we tested the best classification rate of 120 AD patients and 100 matched Nold subject...

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Main Authors: Claudio eBabiloni, Antonio Ivano eTriggiani, Roberta eLizio, Giacomo eTattoli, Vitoantonio eBevilacqua, Andrea eSoricelli, Raffaele eFerri, Flavio eNobili, Loreto eGesualdo, Susanna eCordone, José Carlos eMillán-Calenti, Ana eBuján, Rosanna eTortelli, Valentina eCardinali, Orietta eBarulli, Antonio eGiannini, Pantaleo eSpagnolo, Silvia eArmenise, Grazia eBuenza, Gaetano eScianatico, Giancarlo eLogroscino, Giovanni B. Frisoni, Claudio eDel Percio
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-02-01
Series:Frontiers in Neuroscience
Subjects:
Electroencephalography (EEG)
ROC Curve
Alzheimer’s disease (AD)
Classification rate
Delta rhythms
Alpha rhythms.
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2016.00047/full

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http://journal.frontiersin.org/Journal/10.3389/fnins.2016.00047/full

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