Auditory brainstem response latency in noise as a marker of cochlear synaptopathy
Name
952429250-MIT.pdf
Description
Full printable version
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3.3 MB
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Adobe PDF
Checksum (MD5)
4f6f838b774586865d3c0f2d189d8213
Author(s)
Mehraei, Golbarg
Advisor(s)
Barbara Shinn-Cunningham.
Date Issued
2016
Publisher
Massachusetts Institute of Technology
Abstract
Communication in environments with multiple competing sound sources can be challenging, even for listeners with normal hearing thresholds (NHT). This difficulty in "normal" listeners is thought to arise from central sites of the auditory system with the assumption that sound encoding at the auditory nerve (AN) is robust. Despite this assumption, growing evidence from animal and human studies suggests that acoustic exposure, too modest to elevate hearing thresholds, can nonetheless cause "hidden hearing loss" that interferes with coding of supra-threshold sound. In animal studies, such noise exposure leads to cochlear synaptopathy (death of auditory nerve fibers or ANFs); however, there is no clinical test of synaptopathy in humans. In animals, synaptopathy reduces the amplitude of auditory brainstem response (ABR) wave-I. Unfortunately, ABR wave-I is difficult to measure in humans, limiting its clinical use. Here, using behavioral, otoacoustic, and electrophysiological measures in humans and mice in conjunction with computational models of sound processing by the auditory periphery and brainstem, we show that the effect of masking noise on the latency of the more robust ABR wave-V mirrors changes in ABR wave-I amplitude. In our human cohort, the effect of noise on wave-V latency predicts perceptual temporal sensitivity. Further, we show evidence that ABR wave-V latency in forward masking may be affected by ANF loss and is predictive of a listener's performance in a perceptual task related to speech intelligibility in noise. Our results suggest that measures of the effects of masking on ABR wave-V latency can be used to diagnose ANF survival in humans.
Description
Thesis: Ph. D., Harvard-MIT Program in Health Sciences and Technology, 2016.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 107-117).
Subjects
Harvard--MIT Program in Health Sciences and Technology.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
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