DOI: 10.1002/alz.079595 ISSN: 1552-5260

Alzheimer’s Disease genetic risk factor APoE 4 impact auditory processing in young adults

Emma Marie Madeleine Ducos, Felix Schneefeld, Kinga Igloi, Luc H. Arnal
  • Psychiatry and Mental health
  • Cellular and Molecular Neuroscience
  • Geriatrics and Gerontology
  • Neurology (clinical)
  • Developmental Neuroscience
  • Health Policy
  • Epidemiology

Abstract

Background

Recent studies have suggested that prodromal stages of Alzheimer’s Disease (AD) are accompanied with central auditory system dysfunction, which may be used as early indicators of disease onset and progression. In AD patients of 60 years old and more and in APOE4 carriers, atypical patterns of oscillatory entrainment to repetitive sound transients have been reported and suggested as potential neuromarkers of AD. Whether such alterations of auditory functions relate to genetic risk factor of AD (APOE4) at an early age (<30) is unknown.

Method

We used EEG recordings to measure auditory responses to repetitive sounds (1 second click trains presented at various frequencies (10‐250Hz) in 32 young neurotypical participants). To test whether auditory responsivity is affected by AD risk factor, we compared auditory brain responses from 17 APOE3 (age mean = 21.6, sd = 1.8) and 17 APOE4 carriers (age mean = 23.6, sd = 4.9).

Result

Comparing the magnitude of auditory event related potentials (ERP) we observed that APOE4 carriers exhibit slightly attenuated P2 and P3 ERP responses as well as delayed N1 and P2 ERP responses compared to APOE3 carriers. Focusing on Auditory Steady State Response (ASSR) power across frequencies (10‐90Hz), we observed that APOE3 carriers exhibit reliably larger neural entrainment than APOE4 carriers (Cohens’ d = 0.8, ‘large’ effect size). This difference was sustained across the peristimulus time course and did vary across stimulus frequencies.

Conclusion

Overall, these results suggest that central auditory differences can be detected very early in at‐risk populations. Studying these signals could help identify early AD pathology and provide an entry point for therapeutic interventions against neurodegeneration.

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