Objectives: The purpose of this study was to identify and quantify a so-called ‘Hidden Hearing Loss,’ which is defined as degraded speech perception in background noise with no hearing threshold elevation. We hypothesized that 1) the loss of auditory nerve fibers, or cochlear synaptopthy, causes hidden hearing loss, and 2) the level of medial olivocochlear reflex (MOCR) reflects cochlear synaptopathy, thus predicting hidden hearing loss. Design: Eighteen subjects were recruited for this study and complained of difficulty understanding speech in environments with high noise levels. All participants completed behavioral and MOCR testing, followed by a speech-in-noise understanding test. A modified Noise Exposure Questionnaire (NEQ) was also completed by each subject in order to account for their noise exposure history. Results: The level of MOCR did account for variance in SiN accuracy. Age and pure-tone audiometry also contributed significantly to SiN accuracy, but in a redundant manner. However, noise exposure history did not seem to have any correlation to SiN understanding within this present study.
Thesis
Identifying and Quantifying Hidden Hearing Loss
University of Iowa
Bachelor of Science (BS), University of Iowa
Winter 2018
Abstract
Details
- Title: Subtitle
- Identifying and Quantifying Hidden Hearing Loss
- Creators
- Emily Hanson - University of Iowa
- Contributors
- Yu-Hsiang Wu (Advisor)Shawn S Goodman (Mentor)Inyong Choi (Mentor) - University of Iowa, Iowa Neuroscience Institute
- Resource Type
- Thesis
- Project Type
- Honors Thesis
- Degree Awarded
- Bachelor of Science (BS), University of Iowa
- Degree in
- Speech Pathology and Audiology
- Date degree season
- Winter 2018
- Publisher
- University of Iowa
- Number of pages
- 17 pages
- Copyright
- Copyright © 2018 Emily Hanson
- Comment
- Second mentor: Inyong Choi
- Language
- English
- Academic Unit
- Honors Program; CLAS Honors Theses
- Record Identifier
- 9984109910302771
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