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Semin Hear 2022; 43(03): 197-222
DOI: 10.1055/s-0042-1756164
Review Article

Examining the Profile of Noise-Induced Cochlear Synaptopathy Using iPhone Health App Data and Cochlear and Brainstem Electrophysiological Responses to Fast Clicks Rates

Wafaa A. Kaf
1   Department of Communication Sciences and Disorders, Missouri State University, Springfield, Missouri
,
Madison Turntine
1   Department of Communication Sciences and Disorders, Missouri State University, Springfield, Missouri
,
Abdullah Jamos
1   Department of Communication Sciences and Disorders, Missouri State University, Springfield, Missouri
,
Jacek Smurzynski
2   Department of Audiology and Speech-Language Pathology, East Tennessee State University, Johnson City, Tennessee
› Author Affiliations
Funding/Acknowledgments The authors would like to thank all participants for their voluntary participation in this study. We also acknowledge the tremendous support from the RStat Institute at MSU in guiding data analysis. This study was supported by the Graduate Research Project Fund, the Graduate College, Missouri State University. Findings from this study were accepted for presentation at the American Academy of Audiology Conference in St. Louis, MO (March 30 to April 2, 2022).
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Abstract

Little is known about objective classifying of noise exposure risk levels in personal listening device (PLD) users and electrophysiologic evidence of cochlear synaptopathy at very fast click rates. The aim of the study was to objectively classify noise exposure risk using iPhone Health app and identify signs of cochlear synaptopathy using behavioral and electrophysiologic measures. Thirty normal-hearing females (aged 18–26 years) were grouped based on their iPhone Health app's 6-month listening level and noise exposure data into low-risk and high-risk groups. They were assessed using a questionnaire, extended high-frequency (EHF) audiometry, QuickSIN test, distortion-product otoacoustic emission (DPOAE), and simultaneous recording of electrocochleography (ECochG) and auditory brainstem response (ABR) at three click rates (19.5/s, 97.7/s, 234.4/s). A series of ANOVAs and independent samples t-test were conducted for group comparison. Both groups had within-normal EHF hearing thresholds and DPOAEs. However, the high-risk participants were over twice as likely to suffer from tinnitus, had abnormally large summating potential to action potential amplitude and area ratios at fast rates, and had slightly smaller waves I and V amplitudes. The high-risk group demonstrated a profile of behavioral and objective signs of cochlear synaptopathy based on ECochG and ABR recordings at fast click rates. The findings in this study suggest that the iPhone Health app may be a useful tool for further investigation into cochlear synaptopathy in PLD users.

Keywords

cochlear synaptopathy - iPhone Health app - otoacoustic emission - electrocochleography - auditory brainstem response

Authors' Contributions

All authors contributed to this work, with substantial contributions to conception and design, acquisition of data, analysis and interpretation of data and drafting the manuscript (M.T. and W.A.K.), critical review and revisions for important intellectual content (J.S. and A.J.), and final approval of the revised version (W.A.K.).




Publication History

Article published online:
26 October 2022

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