index of alpha/theta ratio of the electroencephalogram: a new marker for alzheimer’s disease

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ID: 172819
2013
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Abstract
Objective: We evaluated quantitative EEG measures to determine a screening index to discriminate AD patients from normal individuals. Methods: Two groups of individuals older than 50 years, comprising a control group of 57 normal volunteers and a study group of 50 patients with probable AD, were compared. EEG recordings were obtained from subjects in a wake state with eyes closed at rest for 30 min. Logistic regression analysis was conducted. Results: Spectral potentials of the alpha and theta bands were computed for all electrodes and the alpha/theta ratio calculated. Logistic regression of alpha/theta of the mean potential of the C3 and O1 electrodes was carried out. A formula was calculated to aid the diagnosis of AD yielding 76.4 % sensitivity and 84.6 specificity for AD with an area under the ROC curve of 0.92. Conclusions: Logistic regression of alpha/theta of the spectrum of the mean potential of EEG represents a good marker discriminating AD patients from normal controls.
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Authors ;Magali eSchmidt;Paulo eKanda;Luis eBasile;Luis eBasile;Helder Frederico da Silva Lopes;Regina eBaratho;Jose eDemario;Mario eJorge;Antonio eNardi;Antonio eNardi;Sergio eMachado;Sergio eMachado;Jessica Natuline Ianof;Renato eAnghinah;Ricardo eNitrini;Renato eAnghinah
Journal Frontiers in chemistry
Year 2013
DOI
10.3389/fnagi.2013.00060
URL
http://journal.frontiersin.org/Journal/10.3389/fnagi.2013.00060/full
Keywords
Logistic regression EEG alzheimer’s disease alpha neuropsychiatry biological psychiatry

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