2022
DOI: 10.3389/fnins.2022.931173
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Genetic association of apolipoprotein E genotype with EEG alpha rhythm slowing and functional brain network alterations during normal aging

Abstract: The ε4 allele of the apolipoprotein E (APOE4+) genotype is a major genetic risk factor for Alzheimer’s disease (AD), but the mechanisms underlying its influence remain incompletely understood. The study aimed to investigate the possible effect of the APOE genotype on spontaneous electroencephalogram (EEG) alpha characteristics, resting-state functional MRI (fMRI) connectivity (rsFC) in large brain networks and the interrelation of alpha rhythm and rsFC characteristics in non-demented adults during aging. We ex… Show more

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Cited by 6 publications
(3 citation statements)
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References 102 publications
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“…Although our study focused on temporal slowing, it is crucial to consider other EEG features when evaluating individuals at risk for AD. For instance, one study reported a relationship between the presence of ApoE4 and increased alpha rhythm slowing [22]. Considering the multitude of EEG factors, further research is needed to comprehensively assess the utility of EEG in preclinical AD patients.…”
Section: Discussionmentioning
confidence: 99%
“…Although our study focused on temporal slowing, it is crucial to consider other EEG features when evaluating individuals at risk for AD. For instance, one study reported a relationship between the presence of ApoE4 and increased alpha rhythm slowing [22]. Considering the multitude of EEG factors, further research is needed to comprehensively assess the utility of EEG in preclinical AD patients.…”
Section: Discussionmentioning
confidence: 99%
“…The spectral power of resting-state EEG frequency bands demonstrated a higher heritability in a large cohort in twin studies [15,16]. Moreover, some frequency patterns of spontaneous brain oscillations correlated with specific genotypes in healthy aging [17]. In parallel, fMRI studies showed that individual spontaneous neural activity at rest is correlated with functionally active networks and cognitive performance suggesting that patterns of resting-state activity could be explored as endophenotypes of cognitive abilities [18,19].…”
Section: Introductionmentioning
confidence: 96%
“…Research has demonstrated an association between QEEG parameters and AD risk variants in the APOE , CLU , PICALM , IL1RAP , UNC5C , and NAV2 genes in AD [ 38 , 39 , 40 , 41 , 42 ] and MCI patients [ 43 , 44 , 45 ] as well as in healthy adults [ 46 , 47 , 48 , 49 , 50 ]. Moreover, the association of neurophysiological parameters with AD-related genetic factors was shown to be age dependent.…”
Section: Introductionmentioning
confidence: 99%