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Updated: Apr 26, 2026

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains
Published on: June 3, 2020
Source analysis of spontaneous magnetoencephalograpic activity in healthy aging and mild cognitive impairment:
Pablo Cuesta1, Ana Barabash2, Sara Aurtenetxe3
1Laboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Complutense University of Madrid and Technical University of Madrid, Spain Department of Basic Psychology II, Complutense University of Madrid, Madrid, Spain Department of Applied Physics III, Faculty of Physics, Complutense University of Madrid, Madrid, Spain.
Abstract:
The apolipoprotein E (APOE) ε4 allele is a genetic risk factor for the development of late-onset Alzheimer's disease (AD), which affects cholinergic system functioning. The association between reduced cholinergic levels and increase of magnetoencephalographic (MEG) low-frequency has been used to explain spectral changes found in AD patients. However, the investigation in predementia stages is scarce. We obtained MEG recordings from 25 aged controls and 36 mild cognitive impairment (MCI) patients during a resting-state condition. According to their APOE genotype, MCIs and controls were subdivided in carriers and non-carriers of the ε4 allele. Sources of spectral variations in these groups were calculated through beamforming. MCI patients exhibited a significant increase of relative power within the low-frequency domain, accompanied by a power decrease within the high-frequency range. APOEε4 carriers showed an increased relative power in the 4.5-6.5 Hz frequency range over frontal lobes. The power increase observed in controls carrying ε4 was significantly higher as compared with MCI non-carriers, while MCI carriers exhibited the highest relative power within the 4.5-6.5 Hz range. Higher power values within the low-frequency ranges correlated with a poorer cognitive performance in MCIs and controls. Our investigation demonstrates that APOEε4 affects resting-state activity to an extent that makes it more proximate to the pattern observed in early stages of AD. Therefore, a combination of genetic and neurophysiological information might help to detect MCI patients at higher risk of conversion to AD, and asymptomatic subjects at higher risk of developing a manifest cognitive deterioration.
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