Literature DB >> 18768349

Alzheimer disease versus mixed dementias: an EEG perspective.

Ursula Schreiter Gasser1, Valentin Rousson, Frank Hentschel, Heribert Sattel, Theo Gasser.   

Abstract

OBJECTIVE: To examine differences between patients with AD (n=54) and mixed (vascular Alzheimer) dementia (n=24), and controls (n=66), with respect to clinic, neuropsychology, neuroradiology and quantitative EEG (QEEG).
METHODS: We used CAMDEX, CT and QEEG.
RESULTS: Patients with mixed dementia had more subcortical lesions. Increased slow frequency EEG power was observed in mixed dementia compared to AD, whereas the level of high frequency power was nearly normal in mixed dementia, but decreased in pure AD. Topography of slow band power was unaltered in both groups, but was changed for fast bands. The Hachinski score and neuropsychological tests showed small differences between mixed dementia and pure AD.
CONCLUSION: Neuroimaging and QEEG made a greater differential diagnostic contribution than clinical symptoms and neuropsychology. An alteration of slow frequency power with nearly normal high frequency power in mixed dementia may reflect subcortical pathology, whereas cortical pathology in pure AD may relate to decreased fast frequency power. With vascular pathology, less AD pathology is needed for a similar severity of dementia. SIGNIFICANCE: In dementia of the Alzheimer type a vascular component is often found - especially at an older age. The quantitative EEG can contribute to a better understanding of the interaction of the two components.

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Mesh:

Year:  2008        PMID: 18768349     DOI: 10.1016/j.clinph.2008.07.216

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  7 in total

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Authors:  Saúl J Ruiz-Gómez; Carlos Gómez; Jesús Poza; Gonzalo C Gutiérrez-Tobal; Miguel A Tola-Arribas; Mónica Cano; Roberto Hornero
Journal:  Entropy (Basel)       Date:  2018-01-09       Impact factor: 2.524

Review 2.  Electroencephalogram and Alzheimer's disease: clinical and research approaches.

Authors:  Anthoula Tsolaki; Dimitrios Kazis; Ioannis Kompatsiaris; Vasiliki Kosmidou; Magda Tsolaki
Journal:  Int J Alzheimers Dis       Date:  2014-04-24

3.  Automatic Diagnosis of Mild Cognitive Impairment Using Electroencephalogram Spectral Features.

Authors:  Masoud Kashefpoor; Hossein Rabbani; Majid Barekatain
Journal:  J Med Signals Sens       Date:  2016 Jan-Mar

4.  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

5.  Development and validation of exercise rehabilitation program for cognitive function and activity of daily living improvement in mild dementia elderly.

Authors:  Mi-Ri Choi; Ji-Youn Kim; Eun-Surk Yi
Journal:  J Exerc Rehabil       Date:  2018-04-26

Review 6.  Can an Infection Hypothesis Explain the Beta Amyloid Hypothesis of Alzheimer's Disease?

Authors:  Tamas Fulop; Jacek M Witkowski; Karine Bourgade; Abdelouahed Khalil; Echarki Zerif; Anis Larbi; Katsuiku Hirokawa; Graham Pawelec; Christian Bocti; Guy Lacombe; Gilles Dupuis; Eric H Frost
Journal:  Front Aging Neurosci       Date:  2018-07-24       Impact factor: 5.750

7.  Measuring Alterations of Spontaneous EEG Neural Coupling in Alzheimer's Disease and Mild Cognitive Impairment by Means of Cross-Entropy Metrics.

Authors:  Saúl J Ruiz-Gómez; Carlos Gómez; Jesús Poza; Mario Martínez-Zarzuela; Miguel A Tola-Arribas; Mónica Cano; Roberto Hornero
Journal:  Front Neuroinform       Date:  2018-10-30       Impact factor: 4.081

  7 in total

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