Literature DB >> 8704062

Topography of the maximum of the amplitude of EEG frequency bands in dementia of the Alzheimer type.

R Ihl1, T Dierks, E M Martin, L Froölich, K Maurer.   

Abstract

The localization of the maxima of activity of 36 patients with dementia of the Alzheimer type and 36 age-matched controls was calculated after Fourier transformation of EEG data in six frequency bands (4 Hz steps between 1 and 24 Hz). Patients were divided into three groups of severity (BCRS mean < 3,9, 4.0-4.9, and > 4.9). Significant differences were found in the beta frequency band. In the distribution of the maxima of the activity, the maxima of patients were located more frontally than the maxima of controls. The alterations were staged dependent. The beta activity in EEG is said to be correlated with cognitive processes; the correlation between cognitive decline and decreasing beta activity in dementia of the Alzheimer type might support this assumption. Differences in the location of the maxima between patients and controls might allow for differentiation between both groups.

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Year:  1996        PMID: 8704062     DOI: 10.1016/0006-3223(95)00174-3

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


  9 in total

1.  Quantitative electroencephalography in Alzheimer's disease: comparison with a control group, population norms and mental status.

Authors:  V Knott; E Mohr; C Mahoney; V Ilivitsky
Journal:  J Psychiatry Neurosci       Date:  2001-03       Impact factor: 6.186

2.  Sources of cortical rhythms in adults during physiological aging: a multicentric EEG study.

Authors:  Claudio Babiloni; Giuliano Binetti; Andrea Cassarino; Gloria Dal Forno; Claudio Del Percio; Florinda Ferreri; Raffaele Ferri; Giovanni Frisoni; Silvana Galderisi; Koichi Hirata; Bartolo Lanuzza; Carlo Miniussi; Armida Mucci; Flavio Nobili; Guido Rodriguez; Gian Luca Romani; Paolo M Rossini
Journal:  Hum Brain Mapp       Date:  2006-02       Impact factor: 5.038

3.  Dynamics analysis of the hippocampal neuronal model subjected to cholinergic action related with Alzheimer's disease.

Authors:  PeiHao Jiang; XiaoLi Yang; ZhongKui Sun
Journal:  Cogn Neurodyn       Date:  2020-04-01       Impact factor: 5.082

4.  Computational study of hippocampal-septal theta rhythm changes due to β-amyloid-altered ionic channels.

Authors:  Xin Zou; Damien Coyle; Kongfatt Wong-Lin; Liam Maguire
Journal:  PLoS One       Date:  2011-06-24       Impact factor: 3.240

5.  Improving the specificity of EEG for diagnosing Alzheimer's disease.

Authors:  François-B Vialatte; Justin Dauwels; Monique Maurice; Toshimitsu Musha; Andrzej Cichocki
Journal:  Int J Alzheimers Dis       Date:  2011-05-30

Review 6.  Amyloid Beta-Protein and Neural Network Dysfunction.

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Journal:  J Neurodegener Dis       Date:  2013-01-30

7.  Diagnosis of Alzheimer's disease with Electroencephalography in a differential framework.

Authors:  Nesma Houmani; François Vialatte; Esteve Gallego-Jutglà; Gérard Dreyfus; Vi-Huong Nguyen-Michel; Jean Mariani; Kiyoka Kinugawa
Journal:  PLoS One       Date:  2018-03-20       Impact factor: 3.240

8.  Novelty detection-based approach for Alzheimer's disease and mild cognitive impairment diagnosis from EEG.

Authors:  Matous Cejnek; Oldrich Vysata; Martin Valis; Ivo Bukovsky
Journal:  Med Biol Eng Comput       Date:  2021-09-18       Impact factor: 2.602

Review 9.  Usefulness of EEG Techniques in Distinguishing Frontotemporal Dementia from Alzheimer's Disease and Other Dementias.

Authors:  Raffaele Nardone; Luca Sebastianelli; Viviana Versace; Leopold Saltuari; Piergiorgio Lochner; Vanessa Frey; Stefan Golaszewski; Francesco Brigo; Eugen Trinka; Yvonne Höller
Journal:  Dis Markers       Date:  2018-09-03       Impact factor: 3.434

  9 in total

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