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Mapping distributed sources of cortical rhythms in mild Alzheimer's disease. A multicentric EEG study.

Authors :
Babiloni C
Binetti G
Cassetta E
Cerboneschi D
Dal Forno G
Del Percio C
Ferreri F
Ferri R
Lanuzza B
Miniussi C
Moretti DV
Nobili F
Pascual-Marqui RD
Rodriguez G
Romani GL
Salinari S
Tecchio F
Vitali P
Zanetti O
Zappasodi F
Rossini PM
Source :
NeuroImage [Neuroimage] 2004 May; Vol. 22 (1), pp. 57-67.
Publication Year :
2004

Abstract

The study aimed at mapping (i) the distributed electroencephalographic (EEG) sources specific for mild Alzheimer's disease (AD) compared to vascular dementia (VaD) or normal elderly people (Nold) and (ii) the distributed EEG sources sensitive to the mild AD at different stages of severity. Resting EEG (10-20 electrode montage) was recorded from 48 mild AD, 20 VaD, and 38 Nold subjects. Both AD and VaD patients had 24-17 of mini mental state examination (MMSE). EEG rhythms were delta (2-4 Hz), theta (4-8 Hz), alpha 1 (8-10.5 Hz), alpha 2 (10.5-13 Hz), beta 1 (13-20 Hz), and beta 2 (20-30 Hz). Cortical EEG sources were modeled by low resolution brain electromagnetic tomography (LORETA). Regarding issue i, there was a decline of central, parietal, temporal, and limbic alpha 1 (low alpha) sources specific for mild AD group with respect to Nold and VaD groups. Furthermore, occipital alpha 1 sources showed a strong decline in mild AD compared to VaD group. Finally, distributed theta sources were largely abnormal in VaD but not in mild AD group. Regarding issue ii, there was a lower power of occipital alpha 1 sources in mild AD subgroup having more severe disease. Compared to previous field studies, this was the first investigation that illustrated the power spectrum profiles at the level of cortical (macroregions) EEG sources in mild AD patients having different severity of the disease with respect to VaD and normal subjects. Future studies should evaluate the clinical usefulness of this approach in early differential diagnosis, disease staging, and therapy monitoring.

Details

Language :
English
ISSN :
1053-8119
Volume :
22
Issue :
1
Database :
MEDLINE
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
15109997
Full Text :
https://doi.org/10.1016/j.neuroimage.2003.09.028