henhaobio
Sign in

DOAJ (DOAJ: Directory of Open Access Journals)NeurosciencePeer-reviewed journal article

Sound-evoked auditory neurophysiological signals are a window into prodromal functional differences in a preclinical model of Alzheimer's Disease

Ayşegül Güngör AydıniD, Pranav Manoj, Faiza Ramadan, Sarah Rajan, Elias YoussefiD, Elizabeth Barbara TorresiD, Kasia M. BieszczadiD

PDFDOIPreprint

Abstract

Hearing is the largest modifiable mid-life risk factor for Alzheimers Disease (AD), yet its link to dementia remains unclear. We identified a neurophysiological biomarker of AD risk using the non-invasive, rapidly acquired, and clinically translatable auditory brainstem response (ABR) in normal hearing knock-in rats (Swedish familial AD risk variant to Amyloid precursor protein, AppS; male and female). Human ABRs have been proposed as a biomarker for AD and related dementias. The novel metric reported here is derived from multidimensional parametric feature extraction on the distribution statistics of repeated single-trial ABR traces. We report accurate prediction of genetic risk for AD risk in young and aged rats: AppS separate clearly from healthy humanized (AppH) in sex- and age-dependent manners. Notably, auditory learning during young adulthood shifted the AppS ABR signature towards a healthy AppH-like state that maintained over time into older age. Altogether the findings support the utility of the ABR to track disease state, progression, and effects of intervention, and point to a central neural generator of auditory dysfunction related to AD risk. ABRs could provide a very early biomarker for detection of AD risk and used to test the synergy of auditory and cognitive functions in human dementia.

Citations
0
FWCI
0.00
Field percentile
31th percentile

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISMei '21Pereira '26Fuentes‐San '26Mortazavi '25Sedghizadeh '20Roe '23
70% semantic matchNeuroscience
Ling Mei, Li-Man Liu, Kaitian Chen+1 more·Frontiers in Aging Neuroscience·Sep 13, 2021· 19 citations