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Apolipoprotein E and alpha brain rhythms in mild cognitive impairment: a multicentric electroencephalogram study
Claudio Babiloni1, Luisa Benussi, Giuliano Binetti
1Dipartimento di Fisiologia Umana e Farmacologia, Universitá La Sapienza, Rome, Italy. claudio.babiloni@uniroma1.it
Annals of Neurology
|December 17, 2005
Summary
The apolipoprotein E epsilon4 allele is linked to reduced alpha brainwave activity in individuals with mild cognitive impairment (MCI) and Alzheimer's disease (AD). This finding may aid in early AD prediction using genotype-EEG phenotypes.
Area of Science:
- Neuroscience
- Genetics
- Medical Imaging
Background:
- The apolipoprotein E epsilon4 (ApoE4) allele is a known risk factor for Alzheimer's disease (AD).
- Previous studies linked ApoE4 to altered electroencephalographic (EEG) rhythms in AD patients.
- Such relationships remained unconfirmed in the preclinical stage of mild cognitive impairment (MCI).
Purpose of the Study:
- To investigate the association between the ApoE4 allele and resting EEG rhythmicity in individuals with MCI and AD.
- To test if the presence of the epsilon4 allele impacts EEG rhythm sources in both MCI and AD.
Main Methods:
- A multicentric study involving 89 MCI subjects and 103 AD patients.
- Resting eyes-closed EEG data were recorded and analyzed for delta, theta, alpha, and beta rhythms.
- Cortical EEG sources were estimated using low-resolution brain electromagnetic tomography.
Main Results:
- Subjects carrying the epsilon4 allele showed significantly lower amplitudes of alpha 1 and alpha 2 sources in occipital, temporal, and limbic areas compared to non-carriers (p < 0.01).
- This finding was consistent in both MCI and AD groups.
- A novel association was demonstrated between ApoE genotype and cortical alpha rhythmicity in MCI, a preclinical AD state.
Conclusions:
- The study establishes a link between ApoE genotype and EEG phenotypes in MCI, extending previous findings in AD.
- These results highlight the potential for genotype-EEG phenotype studies in predicting AD conversion in MCI.
- Further research is motivated to explore early AD prediction using these biomarkers.