Literature DB >> 15365227

Fluctuations of source locations of EEG activity during transition from alertness to sleep in Alzheimer's disease and vascular dementia.

N Tsuno1, M Shigeta, K Hyoki, P L Faber, D Lehmann.   

Abstract

Vascular dementia (VaD) differs from Alzheimer's disease (AD) in larger fluctuations of cognitive impairment, hypothetically because of deteriorated vigilance control. Vigilance levels are reflected by locations of EEG sources. Transition from alertness to sleep might be particularly sensitive to degradations of vigilance control. Twelve AD and 12 VaD patients (medication free, mean age 75.6 and 77.6 years, respectively, difference = n.s.), and 12 healthy elderly subjects (mean age 70.6 years), who served as controls, were studied (each group comprised 2 males and 10 females). A twenty-one-channel EEG was recorded from full alertness to the onset of sleep stage 2. Dipole source modeling, based on Fast Fourier Transform dipole approximation, yielded 3D source localizations in 7 EEG frequency bands. For each brain axis, means of source location differences between successive 20-second periods were calculated (fluctuation magnitude). EEG band-wise MANCOVAs (3 brain axes, 3 subject groups, covariate: age) showed differences in fluctuation magnitude between groups in the 10.5- to 12-Hz alpha(2) frequency band (p=0.0066). Post hoc ANCOVAs for the axes (3 subject groups, covariate: age) were significant on the superior-inferior axis: VaD patients had higher fluctuations than AD patients and controls, without significant difference between the latter two. Thus, larger source fluctuations in VaD might reflect the patients' decreased vigilance control, accounting for their increased fluctuations of cognitive impairment. Copyright 2004 S. Karger AG, Basel

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Year:  2004        PMID: 15365227     DOI: 10.1159/000079982

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


  4 in total

1.  The implicit function as squashing time model: a novel parallel nonlinear EEG analysis technique distinguishing mild cognitive impairment and Alzheimer's disease subjects with high degree of accuracy.

Authors:  Massimo Buscema; Massimiliano Capriotti; Francesca Bergami; Claudio Babiloni; Paolo Rossini; Enzo Grossi
Journal:  Comput Intell Neurosci       Date:  2007

Review 2.  Sleep Quality and Aging: A Systematic Review on Healthy Older People, Mild Cognitive Impairment and Alzheimer's Disease.

Authors:  Maria Casagrande; Giuseppe Forte; Francesca Favieri; Ilaria Corbo
Journal:  Int J Environ Res Public Health       Date:  2022-07-11       Impact factor: 4.614

3.  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

4.  Regularized Linear Discriminant Analysis of EEG Features in Dementia Patients.

Authors:  Emanuel Neto; Felix Biessmann; Harald Aurlien; Helge Nordby; Tom Eichele
Journal:  Front Aging Neurosci       Date:  2016-11-30       Impact factor: 5.750

  4 in total

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