Effects of Sensorineural Hearing Loss on Robust Speech Coding

Summary

Principal Investigator: Michael G Heinz
Abstract: A great challenge in diagnosing and treating hearing impairment comes from the fact that people with similar degrees of hearing loss may have different speech recognition abilities. Previous research has established that common forms of hearing loss arise from a mixture of inner- and outer-hair-cell damage. A conceptual framework that inner and outer hair cells contribute to hearing in fundamentally different ways motivates the general hypothesis that differences in the degree of inner- and outer-hair-cell dysfunction contribute to across-patient variability in speech perception. Recent psychophysical studies have suggested that listeners with sensorineural hearing loss have a reduced ability to use temporal fine-structure cues in speech perception. These studies have fueled an active debate about the role of temporal coding in normal and impaired hearing, and may have important implications for improving the ability of hearing aids and cochlear implants to restore speech perception in noise. The proposed neurophysiological experiments will provide valuable data by directly quantifying the effects of sensorineural loss on temporal coding in the auditory nerve. The effects of selective inner- or outer-hair-cell damage will be studied using ototoxic drugs. Noise-induced hearing loss will be used to study the more common case of mixed hair-cell damage. Histopathological analyses and functional response measures will be used to characterize hair-cell lesions in individual animals. Specific Aim 1 is to quantify the effects of selective hair-cell damage on within- and across-fiber temporal coding. Innovative analyses that avoid previous experimental limitations in the study of across-fiber temporal coding will be used to quantify fine-structure and envelope coding, as well as traveling-wave delays. Preliminary data support our hypothesis that sensorineural loss affects across-fiber coding of fine-structure more than within-fiber coding. Specific Aim 2 is to determine whether sensorineural loss affects neural coding of fine-structure and envelope cues in vocoded speech. Differences in the ability to understand vocoded speech between listeners with normal and impaired hearing have been used to suggest a perceptual deficit in the use of TFS cues. The physiological basis for these perceptual results is difficult to evaluate because narrowband cochlear filtering limits the ability to isolate fine-structure and envelope at the output of the cochlea. Neural cross-correlation coefficients will quantify directly the effects of sensorineural loss on the fidelity of fine-structure and envelope coding for vocoded speech in noise. Modeling supports the hypothesis that significant degradations occur in both fine-structure and envelope responses. Specific Aim 3 is to quantify the effects of sensorineural loss on temporal coding of fundamental frequency in concurrent complex tones. Listeners with hearing loss show a reduced ability to make use of voice-pitch differences to segregate two competing talkers. It is hypothesized that the ability to estimate the fundamental frequencies of two concurrent complex tones is degraded primarily due to the loss of temporal fine structure, rather than from degraded envelope coding of unresolved harmonics. PUBLIC HEALTH RELEVANCE: The long-term goal of the proposed work is to obtain a better understanding of the physiological bases for robust speech perception, which has important theoretical and clinical implications. The data collected in the proposed experiments will provide fundamental knowledge about the differential effects of inner ear damage on the neural coding of perceptually relevant sounds. This knowledge will benefit the development of diagnostic and rehabilitative strategies to improve the daily lives of people with hearing loss.
Funding Period: 2009-09-18 - 2014-08-31
more information: NIH RePORT

Top Publications

  1. pmc Envelope coding in auditory nerve fibers following noise-induced hearing loss
    Sushrut Kale
    Weldon School of Biomedical Engineering, Purdue University, 500 Oval Drive, West Lafayette, IN 47907, USA
    J Assoc Res Otolaryngol 11:657-73. 2010
  2. pmc Sensorineural hearing loss amplifies neural coding of envelope information in the central auditory system of chinchillas
    Ziwei Zhong
    Weldon School of Biomedical Engineering, Purdue University, 206 South Martin Jischke Drive, West Lafayette, IN 47907, USA
    Hear Res 309:55-62. 2014
  3. pmc The use of confusion patterns to evaluate the neural basis for concurrent vowel identification
    Ananthakrishna Chintanpalli
    Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana 47907 2032
    J Acoust Soc Am 134:2988-3000. 2013
  4. pmc Effects of sensorineural hearing loss on temporal coding of harmonic and inharmonic tone complexes in the auditory nerve
    Sushrut Kale
    Department of Otolaryngology Head and Neck Surgery, Columbia University, New York, NY 10032, USA
    Adv Exp Med Biol 787:109-18. 2013
  5. pmc Effects of sensorineural hearing loss on temporal coding of narrowband and broadband signals in the auditory periphery
    Kenneth S Henry
    Department of Speech, Language, and Hearing Sciences, Purdue University, 500 Oval Drive, West Lafayette, IN 47907, USA
    Hear Res 303:39-47. 2013
  6. pmc Diminished temporal coding with sensorineural hearing loss emerges in background noise
    Kenneth S Henry
    Department of Speech, Language and Hearing Sciences, Purdue University, West Lafayette, Indiana, USA
    Nat Neurosci 15:1362-4. 2012
  7. pmc Temporal modulation transfer functions measured from auditory-nerve responses following sensorineural hearing loss
    Sushrut Kale
    Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, USA
    Hear Res 286:64-75. 2012
  8. pmc Psychophysiological analyses demonstrate the importance of neural envelope coding for speech perception in noise
    Jayaganesh Swaminathan
    Department of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, Indiana 47907, USA
    J Neurosci 32:1747-56. 2012
  9. pmc Auditory-nerve responses predict pitch attributes related to musical consonance-dissonance for normal and impaired hearing
    Gavin M Bidelman
    Department of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, Indiana 47907, USA
    J Acoust Soc Am 130:1488-502. 2011
  10. pmc Auditory brainstem responses predict auditory nerve fiber thresholds and frequency selectivity in hearing impaired chinchillas
    Kenneth S Henry
    Department of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, IN 47907, USA
    Hear Res 280:236-44. 2011

Research Grants

Detail Information

Publications14

  1. pmc Envelope coding in auditory nerve fibers following noise-induced hearing loss
    Sushrut Kale
    Weldon School of Biomedical Engineering, Purdue University, 500 Oval Drive, West Lafayette, IN 47907, USA
    J Assoc Res Otolaryngol 11:657-73. 2010
    ..Overall, these data suggest the need to consider the relative effects of SNHL on envelope and fine-structure coding in evaluating perceptual deficits in temporal processing of complex stimuli...
  2. pmc Sensorineural hearing loss amplifies neural coding of envelope information in the central auditory system of chinchillas
    Ziwei Zhong
    Weldon School of Biomedical Engineering, Purdue University, 206 South Martin Jischke Drive, West Lafayette, IN 47907, USA
    Hear Res 309:55-62. 2014
    ..Furthermore, amplified ENV coding may potentially contribute to speech perception problems in people with cochlear hearing loss by acting as a distraction from more salient acoustic cues, particularly in fluctuating backgrounds. ..
  3. pmc The use of confusion patterns to evaluate the neural basis for concurrent vowel identification
    Ananthakrishna Chintanpalli
    Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana 47907 2032
    J Acoust Soc Am 134:2988-3000. 2013
    ..The inability of this commonly accepted model to fully account for listener confusions suggests that other factors besides F0 segregation are likely to contribute. ..
  4. pmc Effects of sensorineural hearing loss on temporal coding of harmonic and inharmonic tone complexes in the auditory nerve
    Sushrut Kale
    Department of Otolaryngology Head and Neck Surgery, Columbia University, New York, NY 10032, USA
    Adv Exp Med Biol 787:109-18. 2013
    ....
  5. pmc Effects of sensorineural hearing loss on temporal coding of narrowband and broadband signals in the auditory periphery
    Kenneth S Henry
    Department of Speech, Language, and Hearing Sciences, Purdue University, 500 Oval Drive, West Lafayette, IN 47907, USA
    Hear Res 303:39-47. 2013
    ..This article is part of a Special Issue entitled "Annual Reviews 2013". ..
  6. pmc Diminished temporal coding with sensorineural hearing loss emerges in background noise
    Kenneth S Henry
    Department of Speech, Language and Hearing Sciences, Purdue University, West Lafayette, Indiana, USA
    Nat Neurosci 15:1362-4. 2012
    ..These results resolve discrepancies between previous studies and help to explain why perceptual difficulties in hearing-impaired listeners often emerge in noisy situations...
  7. pmc Temporal modulation transfer functions measured from auditory-nerve responses following sensorineural hearing loss
    Sushrut Kale
    Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, USA
    Hear Res 286:64-75. 2012
    ..Furthermore, these neural data may help to explain the lack of a consistent association between perceptual measures of temporal resolution and degraded frequency selectivity...
  8. pmc Psychophysiological analyses demonstrate the importance of neural envelope coding for speech perception in noise
    Jayaganesh Swaminathan
    Department of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, Indiana 47907, USA
    J Neurosci 32:1747-56. 2012
    ..Because these transformations differ between normal and impaired ears, these findings have important translational implications for auditory prostheses...
  9. pmc Auditory-nerve responses predict pitch attributes related to musical consonance-dissonance for normal and impaired hearing
    Gavin M Bidelman
    Department of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, Indiana 47907, USA
    J Acoust Soc Am 130:1488-502. 2011
    ..Results ultimately show that basic pitch relationships governing music are already present in initial stages of neural processing at the AN level...
  10. pmc Auditory brainstem responses predict auditory nerve fiber thresholds and frequency selectivity in hearing impaired chinchillas
    Kenneth S Henry
    Department of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, IN 47907, USA
    Hear Res 280:236-44. 2011
    ..Furthermore, comparisons of ABR wave I latency to normative data at the same SL may prove useful for detecting and characterizing loss of cochlear frequency selectivity...
  11. pmc Predicted effects of sensorineural hearing loss on across-fiber envelope coding in the auditory nerve
    Jayaganesh Swaminathan
    Department of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, Indiana 47907 2038, USA
    J Acoust Soc Am 129:4001-13. 2011
    ....
  12. pmc Noise-induced hearing loss alters the temporal dynamics of auditory-nerve responses
    Ryan E Scheidt
    School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA
    Hear Res 269:23-33. 2010
    ..These changes in temporal dynamics have important implications for temporal envelope coding in hearing-impaired ears, as well as for the design of dynamic compression algorithms for hearing aids...

Research Grants30

  1. Effect of selective inner hair cell loss on functional hearing
    Edward Lobarinas; Fiscal Year: 2013
    ..I also hypothesize that these types of impairments could severely impact the ability to process complex sounds such as speech. ..
  2. Dynamic Effects in Peripheral Auditory Processing
    Magdalena Wojtczak; Fiscal Year: 2013
    ..Improved understanding of how perception is affected by changes in the ear due to hearing loss should lead to new and improved methods for designing hearing aids. ..
  3. SINGLE-NEURON MARKING IN THE STUDY OF ABNORMAL COCHLEAS
    M Charles Liberman; Fiscal Year: 2013
    ....
  4. CENTRAL FACTORS IN AUDITORY MASKING
    Gerald Kidd; Fiscal Year: 2013
    ..The long-range goal is to develop an integrated theory of auditory masking that accounts for energetic and informational masking generally and successfully predicts the consequences of cochlear hearing loss. ..
  5. Three-dimensional and Multiscale Organ of Corti Biomechanics
    CHARLES RICHARD STEELE; Fiscal Year: 2013
    ....
  6. Predicting the benefits of spatial and spectrotemporal cues
    Frederick J Gallun; Fiscal Year: 2013
    ....
  7. Diagnosing outer hair cell health along the cochlear partition
    Mark E Chertoff; Fiscal Year: 2013
    ..abstract_text> ..
  8. Experimental - Theoretical Studies of Cochlear Mechanisms
    Dennis M Freeman; Fiscal Year: 2013
    ....
  9. UNDERSTANDING OTOACOUSTIC EMISSIONS
    Christopher A Shera; Fiscal Year: 2013
    ..abstract_text> ..
  10. Effects of noise-induced and metabolic hearing losses on temporal coding in noise
    KENNETH STUART HENRY; Fiscal Year: 2013
    ..g. hearing-aid and cochlear-implant designs) aimed at restoring speech perception under real-world listening conditions in people with hearing loss. ..
  11. Regulation of outer hair cell electromotility and noise-induced hearing loss
    Gregory I Frolenkov; Fiscal Year: 2013
    ..The experimental results should help scientists develop treatments for the noise-induced hearing loss, which is one of the most common causes of deafness and hearing impairment. ..
  12. Complex Pitch Perception in Complex Environments
    Andrew J Oxenham; Fiscal Year: 2013
    ....
  13. Iowa Cochlear Implant Clinical Research Center Project VI
    Bruce Jay Gantz; Fiscal Year: 2013
    ..The five research projects are highly integrated and depend on data from each other to answer the experimental questions. ..
  14. Perceptual and central auditory consequences of noise-induced hearing loss
    Amanda M Lauer; Fiscal Year: 2013
    ..These studies will provide important information for understanding complex hearing deficits and may have implications for improving treatment of hearing loss and for noise trauma prevention guidelines. ..
  15. Speech Perception with Combined Electric and Acoustic Stimulation
    Ying Yee Kong; Fiscal Year: 2013
    ....
  16. PERIPHERAL MECHANISMS OF HEARING
    Mario A Ruggero; Fiscal Year: 2013
    ..Such knowledge will be applicable to human hearing and its disorders, contributing to the improvement of audiological diagnostic procedures and to the refinement of design goals for cochlear prostheses. ..
  17. Acoustic cues in auditory pattern analysis
    Emily Buss; Fiscal Year: 2013
    ..Parallel experiments in psychoacoustics and speech perception paradigms are expected to result in greater understanding of basic auditory processes and as well as clinically relevant findings. ..
  18. Elucidating the Role of Type II Afferent Neurons in Auditory Nociception
    EMMA NOEMI FLORES; Fiscal Year: 2013
    ..The information that is obtained will advance understanding of type II afferent connectivity and function, and will help clarify how noxious noise is detected. ..
  19. Cochlear Implants in Reinnervated Ears
    Yehoash Raphael; Fiscal Year: 2013
    ..These experiments will set the groundwork for clinical methods to induce nerve regeneration that could enhance the outcome of cochlear implant procedures in patients with severe or profound sensorineural hearing loss. ..