? PROJECT 4 A major issue in hearing loss is variability. Hearing impaired (HI) listeners with similar profiles often show different outcomes. Correlational studies show that signal quality (audibility, frequency separation) is related to outcomes. However, equally important are factors like device experience, cognition and brain function. It is unclear how these adaptations, cognitive resources, or brain areas improve perception. This project tackles this by leveraging mechanisms and measures from cognitive science that describe how sound is mapped to meaning, focusing on the issue of time. Since speech unfolds over time, there are ambiguous periods when the input is compatible with many words. For example, at the onset of butter, the signal could match bump, but and buck. Normal hearing (NH) listeners manage this ambiguity by immediately activating multiple words which compete dynamically over time. For HI listeners, this natural ambiguity may be more problematic and managed differently. We assess the dynamics of word recognition with an eye-tracking paradigm that traces how this competition unfolds over several hundred milliseconds. Prior work suggests cochlear implant (CI) users tune these dynamics differently than NH listeners; these differences are correlated with outcomes and may help cope with poor input. This project asks why these competition processes differ in HI listeners. Are such differences a poor version of typical language processing imposed by degraded input? Or are they a compensatory adaptation for coping with uncertainty? To answer this question in a way that translates to the real-world, Aim 1 moves beyond isolated words to examine sentences, where factors like semantics constrain this competition.
Aim 2 uses a longitudinal study to link differences in competition to peripheral auditory function (Project 2), listening effort (Project 1) and cortical processing (Project 3);
and Aim 3 complements this with laboratory studies of adaption.
Aim 4 examines how HI listeners fuse information from different types of input, for example, from aided acoustic hearing and a CI.
All aims leverage natural variation in multiple types of HI listeners (standard CIs, acoustic+electric CI configurations, and hearing aids) to investigate how differences in the peripheral input impact the mechanisms of language processing.

Public Health Relevance

? PROJECT 4 We seek a better understanding of the cognitive mechanisms by which hearing impaired listeners (including cochlear implant and hearing aid users) map the auditory signal to meaning, and how these mechanisms adapt to compensate for poor input. This will improve cochlear implantation criteria, outcome measures, post- remediation therapies, and signal processing strategies in cochlear implants and hearing aids.

Agency
National Institute of Health (NIH)
Institute
National Institute on Deafness and Other Communication Disorders (NIDCD)
Type
Specialized Center (P50)
Project #
2P50DC000242-31A1
Application #
9415703
Study Section
Special Emphasis Panel (ZDC1)
Project Start
Project End
Budget Start
2017-12-01
Budget End
2018-11-30
Support Year
31
Fiscal Year
2018
Total Cost
Indirect Cost
Name
University of Iowa
Department
Type
DUNS #
062761671
City
Iowa City
State
IA
Country
United States
Zip Code
52242
Shearer, A Eliot; Tejani, Viral D; Brown, Carolyn J et al. (2018) In Vivo Electrocochleography in Hybrid Cochlear Implant Users Implicates TMPRSS3 in Spiral Ganglion Function. Sci Rep 8:14165
Adunka, Oliver F; Gantz, Bruce J; Dunn, Camille et al. (2018) Minimum Reporting Standards for Adult Cochlear Implantation. Otolaryngol Head Neck Surg 159:215-219
Smith, Nicholas A; McMurray, Bob (2018) Temporal Responsiveness in Mother-Child Dialogue: A Longitudinal Analysis of Children with Normal Hearing and Hearing Loss. Infancy 23:410-431
Wu, Yu-Hsiang; Stangl, Elizabeth; Chipara, Octav et al. (2018) Characteristics of Real-World Signal to Noise Ratios and Speech Listening Situations of Older Adults With Mild to Moderate Hearing Loss. Ear Hear 39:293-304
Gantz, Bruce J; Dunn, Camille C; Oleson, Jacob et al. (2018) Acoustic plus electric speech processing: Long-term results. Laryngoscope 128:473-481
Kim, Jeong-Seo; Tejani, Viral D; Abbas, Paul J et al. (2018) Postoperative Electrocochleography from Hybrid Cochlear Implant users: An Alternative Analysis Procedure. Hear Res 370:304-315
Goman, Adele M; Dunn, Camille C; Gantz, Bruce J et al. (2018) PREVALENCE OF POTENTIAL HYBRID AND CONVENTIONAL COCHLEAR IMPLANT CANDIDATES BASED ON AUDIOMETRIC PROFILE. Otol Neurotol 39:515-517
Bonnard, Damien; Schwalje, Adam; Gantz, Bruce et al. (2018) Electric and acoustic harmonic integration predicts speech-in-noise performance in hybrid cochlear implant users. Hear Res 367:223-230
Pimperton, Hannah; Walker, Elizabeth A (2018) Word Learning in Children With Cochlear Implants: Examining Performance Relative to Hearing Peers and Relations With Age at Implantation. Ear Hear 39:980-991
McMurray, Bob; Ellis, Tyler P; Apfelbaum, Keith S (2018) How Do You Deal With Uncertainty? Cochlear Implant Users Differ in the Dynamics of Lexical Processing of Noncanonical Inputs. Ear Hear :

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