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

Clicks: 338
ID: 172819
2013
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Popular

Ranked #89 of 234 articles by views in Frontiers in chemistry

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 234 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
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.
Reference Key
eschmidt2013frontiersindex Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Magali eSchmidt, Paulo eKanda, Luis eBasile, Helder Frederico da Silva Lopes, Regina eBaratho, Jose eDemario, Mario eJorge, Antonio eNardi, Sergio eMachado, Jessica Natuline Ianof, Renato eAnghinah, Ricardo eNitrini
Are you one of these authors? Claim your profile
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

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.