Literature DB >> 7774518

EEG spectral analysis in vascular and Alzheimer dementia.

M Signorino1, E Pucci, N Belardinelli, G Nolfe, F Angeleri.   

Abstract

The role of EEG spectral analysis in the diagnosis of syndromes of dementia is still disputed. Since there have been few studies dealing with the profile of power spectra, the present investigation has focused on this aspect, constructing power spectra taken from 16 derivations and calculated by averaging twenty 2 sec epochs, using a serial array of frequencies from 1 to 32 Hz. The spectral analysis of the EEG, recorded under awake resting eyes closed (REC) and open (REO) conditions, was performed in 50 patients with Alzheimer's disease (AD), 37 with vascular dementia (VaD) and 36 elderly controls. Three spectral profiles were found under REC: (i) type A, showing a dominant 6.5-12 Hz peak (44% AD, 97.3% VaD), although lower than in controls; (ii) type B, lacking a dominant peak in the 6.5-12 Hz band, but characterised by high power in 1-6.5 Hz band (44% AD, 2.7% VaD); (iii) type C, corresponding to a flat, low voltage, spectrum (12% AD). Unlike controls, demented patients showed an increased REO/REC power ratio in the 6.5-12 Hz band, especially in those with type B spectra. AD patients with type B spectra had an earlier age of disease onset.

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Year:  1995        PMID: 7774518     DOI: 10.1016/0013-4694(94)00290-2

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN: 0013-4694


  12 in total

1.  Spatial distribution of coefficients of asymmetry of brain bioelectrical activity during the experiencing of negative emotions.

Authors:  M N Rusalova; M B Kostyunina; M A Kulikov
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2.  Spectral correlation studies of emotional states in humans.

Authors:  M N Rusalova; M B Kostyunina
Journal:  Neurosci Behav Physiol       Date:  2004-10

3.  Relationship between EEG reactivity and neuropsychological tests in vascular dementia.

Authors:  J Partanen; H Soininen; E L Helkala; M Könönen; R Kilpeläinen; P Riekkinen
Journal:  J Neural Transm (Vienna)       Date:  1997       Impact factor: 3.575

4.  An EEG-Based Fuzzy Probability Model for Early Diagnosis of Alzheimer's Disease.

Authors:  Hsiu-Sen Chiang; Shun-Chi Pao
Journal:  J Med Syst       Date:  2016-04-08       Impact factor: 4.460

5.  Resting EEG discrimination of early stage Alzheimer's disease from normal aging using inter-channel coherence network graphs.

Authors:  Joseph McBride; Xiaopeng Zhao; Nancy Munro; Charles Smith; Gregory Jicha; Yang Jiang
Journal:  Ann Biomed Eng       Date:  2013-03-13       Impact factor: 3.934

6.  Spectral and complexity analysis of scalp EEG characteristics for mild cognitive impairment and early Alzheimer's disease.

Authors:  Joseph C McBride; Xiaopeng Zhao; Nancy B Munro; Charles D Smith; Gregory A Jicha; Lee Hively; Lucas S Broster; Frederick A Schmitt; Richard J Kryscio; Yang Jiang
Journal:  Comput Methods Programs Biomed       Date:  2014-02-08       Impact factor: 5.428

7.  Sugihara causality analysis of scalp EEG for detection of early Alzheimer's disease.

Authors:  Joseph C McBride; Xiaopeng Zhao; Nancy B Munro; Gregory A Jicha; Frederick A Schmitt; Richard J Kryscio; Charles D Smith; Yang Jiang
Journal:  Neuroimage Clin       Date:  2014-12-13       Impact factor: 4.881

8.  Resting state in Alzheimer's disease: a concurrent analysis of Flash-Visual Evoked Potentials and quantitative EEG.

Authors:  Antonio Tartaglione; Luciano Spadavecchia; Marco Maculotti; Fabio Bandini
Journal:  BMC Neurol       Date:  2012-11-28       Impact factor: 2.474

9.  EEG Spectral Features Discriminate between Alzheimer's and Vascular Dementia.

Authors:  Emanuel Neto; Elena A Allen; Harald Aurlien; Helge Nordby; Tom Eichele
Journal:  Front Neurol       Date:  2015-02-13       Impact factor: 4.003

Review 10.  Role of EEG as biomarker in the early detection and classification of dementia.

Authors:  Noor Kamal Al-Qazzaz; Sawal Hamid Bin Md Ali; Siti Anom Ahmad; Kalaivani Chellappan; Md Shabiul Islam; Javier Escudero
Journal:  ScientificWorldJournal       Date:  2014-06-30
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