Document Detail

Timing of disease progression by quantitative EEG in Alzheimer' s patients.
MedLine Citation:
PMID:  10600024     Owner:  NLM     Status:  MEDLINE    
This prospective study was planned to assess whether quantitative EEG (qEEG) can give an estimate of the timing of achievement of three endpoints (loss of activities of daily living, incontinence, and death) in 72 consecutive patients (53 females, 19 males; mean age, 70.8) affected with probable Alzheimer's disease, as defined according to the NINCDS-ADRDA criteria. Power-weighted, log-transformed relative values of the four conventional EEG bands were considered in a central-posterior temporal region for each hemisphere. The hypothesis was tested by the lifereg procedure of the Statistical Analysis System package (first significance level accepted, P < or = 0.01). Because patients were in different stages of the disease, the statistical analysis was performed in the entire group as well as in the subgroup of 41 patients (mean age, 69.6) with mild dementia (scoring 3 or 4 on the global deterioration scale). In the whole group, the loss of activities of daily living was predicted by delta power in either side (P = 0.01), incontinence was predicted by alpha power in the right side (P < 0.01), whereas the statistical significance was not reached for death (P < 0.05). In the subgroup of mild demented patients, the loss of activities of daily living was predicted by delta power in the left side (P = 0.01), incontinence by both delta (P < 0.01) and alpha (P < 0.001) power in the right side, and death was not significantly predicted (P = 0.08). Quantitative EEG is a low-cost, discomfort-free technique which may be used to obtain information on the timing of disease evolution. The results showed in mild Alzheimer's disease appear especially interesting to attempt a prediction of the future time course of the disease from its beginning.
F Nobili; F Copello; P Vitali; T Prastaro; S Carozzo; G Perego; G Rodriguez
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society     Volume:  16     ISSN:  0736-0258     ISO Abbreviation:  J Clin Neurophysiol     Publication Date:  1999 Nov 
Date Detail:
Created Date:  2000-01-04     Completed Date:  2000-01-04     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  8506708     Medline TA:  J Clin Neurophysiol     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  566-73     Citation Subset:  IM    
Department of Internal Medicine, University of Genova, S. Martino Hospital, Italy.
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MeSH Terms
Activities of Daily Living
Aged, 80 and over
Alzheimer Disease / complications,  mortality,  physiopathology*
Disease Progression
Follow-Up Studies
Middle Aged
Prospective Studies
Statistical Distributions
Urinary Incontinence / etiology

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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