Literature DB >> 30342201

Sound Coding in the Auditory Nerve: From Single Fiber Activity to Cochlear Mass Potentials in Gerbils.

A Huet1, C Batrel1, J Wang1, G Desmadryl1, R Nouvian1, J L Puel2, J Bourien1.   

Abstract

Auditory nerve fibers (ANFs) convey acoustic information from the sensory cells to the brainstem using an elaborated neural code based on both spike timing and rate. As the stimulus tone frequency increases, time coding fades and ceases, resulting in high-frequency tone encoding that relies mostly on the spike discharge rate. Here, we recapitulated our recent single-unit data from gerbil's auditory nerve to highlight the most relevant mode of coding (spike timing versus spike rate) in tone-in-noise. We report that high-spontaneous rate (SR) fibers driven by low-frequency tones in noise are able to phase lock ∼30 dB below the level that evoked a significant elevation of the discharge rate, whereas medium- and low-SR fibers switch their preferential mode of coding from rate coding in quiet, to time coding in noise. For high-frequency tone, the low-threshold/high-SR fibers reach their maximum discharge rate in noise and do not respond to tones, whereas medium- and low-SR fibers are still able to respond to tones making them more resistant to background noise. Based on these findings, we first discuss the ecological function of the ANF distribution according to their spontaneous discharge rate. Then, we point out the poor synchronization of the low-SR ANFs, accounting for the discrepancy between ANF number and the amplitude of the compound action potential of the of the auditory nerve. Finally, we proposed a new diagnostic tool to assess low-SR fibers, which does not rely on the onset response of the ANFs.
Copyright © 2018 IBRO. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  auditory nerve; background noise; hidden hearing loss; rate coding; temporal coding

Mesh:

Year:  2018        PMID: 30342201     DOI: 10.1016/j.neuroscience.2018.10.010

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  6 in total

1.  Aligned Organization of Synapses and Mitochondria in Auditory Hair Cells.

Authors:  Jing Liu; Shengxiong Wang; Yan Lu; Haoyu Wang; Fangfang Wang; Miaoxin Qiu; Qiwei Xie; Hua Han; Yunfeng Hua
Journal:  Neurosci Bull       Date:  2021-11-27       Impact factor: 5.203

2.  Synaptopathy in Guinea Pigs Induced by Noise Mimicking Human Experience and Associated Changes in Auditory Signal Processing.

Authors:  Li Xia; Sara Ripley; Zhenhua Jiang; Xue Yin; Zhiping Yu; Steve J Aiken; Jian Wang
Journal:  Front Neurosci       Date:  2022-07-06       Impact factor: 5.152

Review 3.  Considerations for Fitting Cochlear Implants Bimodally and to the Single-Sided Deaf.

Authors:  Sabrina H Pieper; Noura Hamze; Stefan Brill; Sabine Hochmuth; Mats Exter; Marek Polak; Andreas Radeloff; Michael Buschermöhle; Mathias Dietz
Journal:  Trends Hear       Date:  2022 Jan-Dec       Impact factor: 3.496

4.  Peristimulus Time Responses Predict Adaptation and Spontaneous Firing of Auditory-Nerve Fibers: From Rodents Data to Humans.

Authors:  Antoine Huet; Charlène Batrel; Xavier Dubernard; Jean-Charles Kleiber; Gilles Desmadryl; Frédéric Venail; M Charles Liberman; Régis Nouvian; Jean-Luc Puel; Jérôme Bourien
Journal:  J Neurosci       Date:  2022-01-25       Impact factor: 6.709

Review 5.  Animal-to-Human Translation Difficulties and Problems With Proposed Coding-in-Noise Deficits in Noise-Induced Synaptopathy and Hidden Hearing Loss.

Authors:  Sara Ripley; Li Xia; Zhen Zhang; Steve J Aiken; Jian Wang
Journal:  Front Neurosci       Date:  2022-05-23       Impact factor: 5.152

Review 6.  Translational and interdisciplinary insights into presbyacusis: A multidimensional disease.

Authors:  Mark A Eckert; Kelly C Harris; Hainan Lang; Morag A Lewis; Richard A Schmiedt; Bradley A Schulte; Karen P Steel; Kenneth I Vaden; Judy R Dubno
Journal:  Hear Res       Date:  2020-10-31       Impact factor: 3.208

  6 in total

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