Literature DB >> 12886036

Objective assessment of the degree of dementia by means of EEG.

Martin Brunovsky1, Milos Matousek, Ake Edman, Katerina Cervena, Vladimir Krajca.   

Abstract

The aim of the study was to elaborate a method to estimate the degree of cognitive impairment in Alzheimer's disease from the EEG quantitative indicators. We examined 38 unmedicated patients with a diagnosis of Alzheimer's disease, with various stages (mild, moderate, and severe) of dementia. The EEG recordings were evaluated both visually and by means of computer analysis. The EEG spectra and coherences in 6 frequency bands were calculated in 16 EEG derivations. Among various EEG indicators, a decrease in the alpha coherence and an increase in the delta coherence was found to be most significantly correlated to the degree of dementia. Combining 6 variables from the spectrum and coherence analysis by means of the multiple regression model, a high correlation (r = 0.87) between a set of EEG variables and the Mini-Mental State Examination score could be obtained. The results suggest that the EEG can supplement the clinical examination by providing an independent assessment of the degree of dementia. The results also suggest that the EEG coherences are of particular interest in dementia, being an indicator of the signal transfer between various parts of the brain cortex. Copyright 2003 S. Karger AG, Basel

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Mesh:

Year:  2003        PMID: 12886036     DOI: 10.1159/000071824

Source DB:  PubMed          Journal:  Neuropsychobiology        ISSN: 0302-282X            Impact factor:   2.328


  13 in total

1.  EEG signal analysis: a survey.

Authors:  D Puthankattil Subha; Paul K Joseph; Rajendra Acharya U; Choo Min Lim
Journal:  J Med Syst       Date:  2010-04       Impact factor: 4.460

2.  Deep brain stimulation of the nucleus basalis of Meynert in Alzheimer's dementia.

Authors:  J Kuhn; K Hardenacke; D Lenartz; T Gruendler; M Ullsperger; C Bartsch; J K Mai; K Zilles; A Bauer; A Matusch; R-J Schulz; M Noreik; C P Bührle; D Maintz; C Woopen; P Häussermann; M Hellmich; J Klosterkötter; J Wiltfang; M Maarouf; H-J Freund; V Sturm
Journal:  Mol Psychiatry       Date:  2014-05-06       Impact factor: 15.992

Review 3.  The diagnostic utility of EEG in early-onset dementia: a systematic review of the literature with narrative analysis.

Authors:  Christina Micanovic; Suvankar Pal
Journal:  J Neural Transm (Vienna)       Date:  2013-07-31       Impact factor: 3.575

4.  Associations between quantitative sleep EEG and subsequent cognitive decline in older women.

Authors:  Ina Djonlagic; Daniel Aeschbach; Stephanie Litwack Harrison; Dennis Dean; Kristine Yaffe; Sonia Ancoli-Israel; Katie Stone; Susan Redline
Journal:  J Sleep Res       Date:  2018-03-05       Impact factor: 3.981

5.  EEG low-resolution brain electromagnetic tomography (LORETA) in Huntington's disease.

Authors:  Annamaria Painold; Peter Anderer; Anna K Holl; Martin Letmaier; Gerda M Saletu-Zyhlarz; Bernd Saletu; Raphael M Bonelli
Journal:  J Neurol       Date:  2010-12-12       Impact factor: 4.849

6.  Analysis of long range dependence in the EEG signals of Alzheimer patients.

Authors:  T Nimmy John; Subha D Puthankattil; Ramshekhar Menon
Journal:  Cogn Neurodyn       Date:  2018-01-05       Impact factor: 5.082

7.  EEG analysis and classification based on cardinal spline empirical mode decomposition and synchrony features.

Authors:  Raymond Ho; Kevin Hung
Journal:  Med Biol Eng Comput       Date:  2022-06-27       Impact factor: 3.079

8.  Alzheimer's disease-like pathological features in transgenic mice expressing the APP intracellular domain.

Authors:  Kaushik Ghosal; Daniel L Vogt; Man Liang; Yong Shen; Bruce T Lamb; Sanjay W Pimplikar
Journal:  Proc Natl Acad Sci U S A       Date:  2009-10-16       Impact factor: 11.205

9.  White matter vascular lesions are related to parietal-to-frontal coupling of EEG rhythms in mild cognitive impairment.

Authors:  Claudio Babiloni; Giovanni B Frisoni; Michela Pievani; Fabrizio Vecchio; Francesco Infarinato; Cristina Geroldi; Serenella Salinari; Raffaele Ferri; Claudia Fracassi; Fabrizio Eusebi; Paolo M Rossini
Journal:  Hum Brain Mapp       Date:  2008-12       Impact factor: 5.038

10.  Electroencephalographic rhythms in Alzheimer's disease.

Authors:  Roberta Lizio; Fabrizio Vecchio; Giovanni B Frisoni; Raffaele Ferri; Guido Rodriguez; Claudio Babiloni
Journal:  Int J Alzheimers Dis       Date:  2011-05-12
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