Literature DB >> 29744729

Supra-Threshold Hearing and Fluctuation Profiles: Implications for Sensorineural and Hidden Hearing Loss.

Laurel H Carney1.   

Abstract

An important topic in contemporary auditory science is supra-threshold hearing. Difficulty hearing at conversational speech levels in background noise has long been recognized as a problem of sensorineural hearing loss, including that associated with aging (presbyacusis). Such difficulty in listeners with normal thresholds has received more attention recently, especially associated with descriptions of synaptopathy, the loss of auditory nerve (AN) fibers as a result of noise exposure or aging. Synaptopathy has been reported to cause a disproportionate loss of low- and medium-spontaneous rate (L/MSR) AN fibers. Several studies of synaptopathy have assumed that the wide dynamic ranges of L/MSR AN fiber rates are critical for coding supra-threshold sounds. First, this review will present data from the literature that argues against a direct role for average discharge rates of L/MSR AN fibers in coding sounds at moderate to high sound levels. Second, the encoding of sounds at supra-threshold levels is examined. A key assumption in many studies is that saturation of AN fiber discharge rates limits neural encoding, even though the majority of AN fibers, high-spontaneous rate (HSR) fibers, have saturated average rates at conversational sound levels. It is argued here that the cross-frequency profile of low-frequency neural fluctuation amplitudes, not average rates, encodes complex sounds. As described below, this fluctuation-profile coding mechanism benefits from both saturation of inner hair cell (IHC) transduction and average rate saturation associated with the IHC-AN synapse. Third, the role of the auditory efferent system, which receives inputs from L/MSR fibers, is revisited in the context of fluctuation-profile coding. The auditory efferent system is hypothesized to maintain and enhance neural fluctuation profiles. Lastly, central mechanisms sensitive to neural fluctuations are reviewed. Low-frequency fluctuations in AN responses are accentuated by cochlear nucleus neurons which, either directly or via other brainstem nuclei, relay fluctuation profiles to the inferior colliculus (IC). IC neurons are sensitive to the frequency and amplitude of low-frequency fluctuations and convert fluctuation profiles from the periphery into a phase-locked rate profile that is robust across a wide range of sound levels and in background noise. The descending projection from the midbrain (IC) to the efferent system completes a functional loop that, combined with inputs from the L/MSR pathway, is hypothesized to maintain "sharp" supra-threshold hearing, reminiscent of visual mechanisms that regulate optical accommodation. Examples from speech coding and detection in noise are reviewed. Implications for the effects of synaptopathy on control mechanisms hypothesized to influence supra-threshold hearing are discussed. This framework for understanding neural coding and control mechanisms for supra-threshold hearing suggests strategies for the design of novel hearing aid signal-processing and electrical stimulation patterns for cochlear implants.

Entities:  

Keywords:  auditory; computational models; neural coding; speech

Mesh:

Year:  2018        PMID: 29744729      PMCID: PMC6081887          DOI: 10.1007/s10162-018-0669-5

Source DB:  PubMed          Journal:  J Assoc Res Otolaryngol        ISSN: 1438-7573


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Authors:  Laurel H Carney; Duck O Kim; Shigeyuki Kuwada
Journal:  Adv Exp Med Biol       Date:  2016       Impact factor: 2.622

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  39 in total

1.  Sensorineural Hearing Loss Diminishes Use of Temporal Envelope Cues: Evidence From Roving-Level Tone-in-Noise Detection.

Authors:  U-Cheng Leong; Douglas M Schwarz; Kenneth S Henry; Laurel H Carney
Journal:  Ear Hear       Date:  2020 Jul/Aug       Impact factor: 3.570

2.  Nonlinear auditory models yield new insights into representations of vowels.

Authors:  Laurel H Carney; Joyce M McDonough
Journal:  Atten Percept Psychophys       Date:  2019-05       Impact factor: 2.199

3.  Determining the energetic and informational components of speech-on-speech masking in listeners with sensorineural hearing loss.

Authors:  Gerald Kidd; Christine R Mason; Virginia Best; Elin Roverud; Jayaganesh Swaminathan; Todd Jennings; Kameron Clayton; H Steven Colburn
Journal:  J Acoust Soc Am       Date:  2019-01       Impact factor: 1.840

4.  Potential cues for the "level discrimination" of a noise band in the presence of flanking bands.

Authors:  Virginia M Richards; Laurel H Carney
Journal:  J Acoust Soc Am       Date:  2019-05       Impact factor: 1.840

5.  Masking of short tones in noise: Evidence for envelope-based, rather than energy-based detection.

Authors:  Skyler G Jennings; Jessica Chen
Journal:  J Acoust Soc Am       Date:  2020-07       Impact factor: 1.840

6.  Amplitude modulation transfer functions reveal opposing populations within both the inferior colliculus and medial geniculate body.

Authors:  Duck O Kim; Laurel Carney; Shigeyuki Kuwada
Journal:  J Neurophysiol       Date:  2020-09-09       Impact factor: 2.714

7.  Speech-evoked auditory brainstem response; electrophysiological evidence of upper brainstem facilitative role on sound lateralization in noise.

Authors:  Abdollah Moossavi; Yones Lotfi; Mohanna Javanbakht; Soghrat Faghihzadeh
Journal:  Neurol Sci       Date:  2019-11-15       Impact factor: 3.307

8.  Neural fluctuation cues for simultaneous notched-noise masking and profile-analysis tasks: Insights from model midbrain responses.

Authors:  Braden N Maxwell; Virginia M Richards; Laurel H Carney
Journal:  J Acoust Soc Am       Date:  2020-05       Impact factor: 1.840

9.  Neural Encoding of Amplitude Modulations in the Human Efferent System.

Authors:  Srikanta K Mishra; Milan Biswal
Journal:  J Assoc Res Otolaryngol       Date:  2019-04-29

10.  Effects of selective auditory-nerve damage on the behavioral audiogram and temporal integration in the budgerigar.

Authors:  Stephanie J Wong; Kristina S Abrams; Kassidy N Amburgey; Yingxuan Wang; Kenneth S Henry
Journal:  Hear Res       Date:  2019-01-23       Impact factor: 3.208

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