From derived-band envelope-following responses to individualized models of near- and supra-threshold hearing deficits

Authors

  • Sarineh Keshishzadeh Hearing Technology @WAVES, Department of Information Technology, Ghent University, Belgium
  • Sarah Verhulst Hearing Technology @WAVES, Department of Information Technology, Ghent University, Belgium

Abstract

Auditory models which include frequency-dependent profiles of near and supra-threshold hearing deficits can aid the design of individualized hearing- aid algorithms. However, determining individual auditory-nerve (AN) fiber loss parameters is controversial as diagnostic metrics are presently based on auditory brainstem responses (ABRs) or envelope following responses (EFRs). These measures do not necessarily yield a frequency-specific quantification and might be affected by both outer-hair-cell and AN damage. We developed a derived-band EFR (DBEFR) metric to offer a frequency- specific assessment and complemented these with click-evoked otoacoustic emissions and audiometry. Cochlear-gain-loss profiles were derived from the latter measurements and inserted into individualized models, in which different synaptopathy profiles were introduced and DBEFRs simulated. Using a clustering technique, the best match between experimental and simulated synaptopathy profiles was determined and validated using the ABR data collected from the same listener. Results showed promise in offering a method to determine individualized sensorineural hearing-loss profile given a limited number of objective metrics.

References

Bharadwaj, H. M., Masud, S., Mehraei, G., Verhulst, S., and Shinn-Cunningham, B. G. (2015), “Individual differences reveal correlates of hidden hearing deficits,” J. Neurosci., 35(5), 2161–2172.

Bharadwaj, H. M., Verhulst, S., Shaheen, L., Liberman, M. C., and Shinn- Cunningham, B. G. (2014), “Cochlear neuropathy and the coding of supra- threshold sound,” Front. Syst. Neurosci., 8, 26.

Encina-Llamas, G., Harte, J. M., Dau, T., Shinn-Cunningham, B., and Epp, B. (2019), “Investigating the Effect of Cochlear Synaptopathy on Envelope Following Responses Using a Model of the Auditory Nerve,” J. Assoc. Res. Oto., 1–20.

Furman, A. C., Kujawa, S. G., and Liberman, M. C. (2013), “Noise-induced cochlear neuropathy is selective for fibers with low spontaneous rates,” J. Neurophysiol., 110(3), 577–586.

Gorga, M. P., Worthington, D. W., Reiland, J. K., Beauchaine, K. A., and Goldgar, D. E. (1985), “Some comparisons between auditory brain stem response thresholds, latencies, and the pure-tone audiogram.” Ear Hearing, 6(2), 105–112.

Greenwood, D. D. (1990), “A cochlear frequency-position function for several species—29 years later,” J. Acoust. Soc. Am., 87(6), 2592–2605.

Kalluri, R. and Shera, C. A. (2001), “Distortion-product source unmixing: A test of the two-mechanism model for DPOAE generation,” J. Acoust. Soc. Am., 109(2), 622–637.

Keshishzadeh, S., Garrett, M., and Verhulst, S. (2019a), “The Derived-Band Envelope Following Response and its Sensitivity to Sensorineural Hearing Deficits,” bioRxiv, 820704.

Keshishzadeh, S., Vasilkov, V., and Verhulst, S. (2019b), “Tonotopic Sensitivity to Supra-Threshold Hearing Deficits of the Envelope Following Response Evoked by Broadband Stimuli,” 23rd International Congress on Acoustics, 6548–6553.

Kujawa, S. G. and Liberman, M. C. (2009), “Adding insult to injury: cochlear nerve degeneration after “temporary” noise-induced hearing loss,” J. Neurosci., 29(45), 14077–14085.

Möhrle, D., Ni, K., Varakina, K., Bing, D., Lee, S. C., Zimmermann, U., Knipper, M., and Rüttiger, L. (2016), “Loss of auditory sensitivity from inner hair cell synaptopathy can be centrally compensated in the young but not old brain,” Neurobiol. Aging, 44, 173–184.

Parthasarathy, A. and Kujawa, S. G. (2018), “Synaptopathy in the aging cochlea: Characterizing early-neural deficits in auditory temporal envelope processing,” J. Neurosci., 38(32), 7108–7119.

Shaheen, L. A., Valero, M. D., and Liberman, M. C. (2015), “Towards a diagnosis of cochlear neuropathy with envelope following responses,” J. Assoc. Res. Oto., 16(6), 727–745.

Shera, C. A. and Guinan Jr, J. J. (2007), “Cochlear traveling-wave amplification, sup- pression, and beamforming probed using noninvasive calibration of intracochlear distortion sources,” J. Acoust. Soc. Am., 121(2), 1003–1016.

Shera, C. A. and Zweig, G. (1993), “Noninvasive measurement of the cochlear traveling-wave ratio,” J. Acoust. Soc. Am., 93(6), 3333–3352.

Valero, M., Burton, J., Hauser, S., Hackett, T., Ramachandran, R., and Liberman, M. (2017), “Noise-induced cochlear synaptopathy in rhesus monkeys (Macaca mulatta),” Hearing Res., 353, 213–223.

Verhulst, S., Altoe, A., and Vasilkov, V. (2018), “Computational modeling of the human auditory periphery: Auditory-nerve responses, evoked potentials and hearing loss,” Hearing Res., 360, 55–75.

Verhulst, S., Jagadeesh, A., Mauermann, M., and Ernst, F. (2016), “Individual differ- ences in auditory brainstem response wave characteristics: relations to different aspects of peripheral hearing loss,” Trends Hear., 20, 2331216516672186.

Additional Files

Published

2020-04-14

How to Cite

Keshishzadeh, S., & Verhulst, S. (2020). From derived-band envelope-following responses to individualized models of near- and supra-threshold hearing deficits. Proceedings of the International Symposium on Auditory and Audiological Research, 7, 13–20. Retrieved from https://proceedings.isaar.eu/index.php/isaarproc/article/view/2019-02

Issue

Section

2019/1. Auditory precision medicine