Literature DB >> 34266898

Midbrain-Level Neural Correlates of Behavioral Tone-in-Noise Detection: Dependence on Energy and Envelope Cues.

Yingxuan Wang1, Kristina S Abrams2, Laurel H Carney1,2, Kenneth S Henry3,2,4.   

Abstract

Hearing in noise is a problem often assumed to depend on encoding of energy level by channels tuned to target frequencies, but few studies have tested this hypothesis. The present study examined neural correlates of behavioral tone-in-noise (TIN) detection in budgerigars (Melopsittacus undulatus, either sex), a parakeet species with human-like behavioral sensitivity to many simple and complex sounds. Behavioral sensitivity to tones in band-limited noise was assessed using operant-conditioning procedures. Neural recordings were made in awake animals from midbrain-level neurons in the inferior colliculus, the first processing stage of the ascending auditory pathway with pronounced rate-based encoding of stimulus amplitude modulation. Budgerigar TIN detection thresholds were similar to human thresholds across the full range of frequencies (0.5-4 kHz) and noise levels (45-85 dB SPL) tested. Also as in humans, thresholds were minimally affected by a challenging roving-level condition with random variation in background-noise level. Many midbrain neurons showed a decreasing response rate as TIN signal-to-noise ratio (SNR) was increased by elevating the tone level, a pattern attributable to amplitude-modulation tuning in these cells and the fact that higher SNR tone-plus-noise stimuli have flatter amplitude envelopes. TIN thresholds of individual neurons were as sensitive as behavioral thresholds under most conditions, perhaps surprisingly even when the unit's characteristic frequency was tuned an octave or more away from the test frequency. A model that combined responses of two cell types enhanced TIN sensitivity in the roving-level condition. These results highlight the importance of midbrain-level envelope encoding and off-frequency neural channels for hearing in noise.SIGNIFICANCE STATEMENT Detection of target sounds in noise is often assumed to depend on energy-level encoding by neural processing channels tuned to the target frequency. In contrast, we found that tone-in-noise sensitivity in budgerigars was often greatest in midbrain neurons not tuned to the test frequency, underscoring the potential importance of off-frequency channels for perception. Furthermore, the results highlight the importance of envelope processing for hearing in noise, especially under challenging conditions with random variation in background noise level over time.
Copyright © 2021 the authors.

Entities:  

Keywords:  budgerigar; envelope; inferior colliculus; operant conditioning; roving level; tone in noise

Mesh:

Year:  2021        PMID: 34266898      PMCID: PMC8387112          DOI: 10.1523/JNEUROSCI.3103-20.2021

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  49 in total

1.  Hearing in the parakeet (Melopsittacus undulatus): absolute thresholds, critical ratios, frequency difference limens, and vocalizations.

Authors:  R J Dooling; J C Saunders
Journal:  J Comp Physiol Psychol       Date:  1975-01

2.  A phenomenological model of peripheral and central neural responses to amplitude-modulated tones.

Authors:  Paul C Nelson; Laurel H Carney
Journal:  J Acoust Soc Am       Date:  2004-10       Impact factor: 1.840

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Authors:  V M Richards
Journal:  J Acoust Soc Am       Date:  1992-06       Impact factor: 1.840

4.  Predictions of diotic tone-in-noise detection based on a nonlinear optimal combination of energy, envelope, and fine-structure cues.

Authors:  Junwen Mao; Azadeh Vosoughi; Laurel H Carney
Journal:  J Acoust Soc Am       Date:  2013-07       Impact factor: 1.840

5.  Roving-level tone-in-noise detection.

Authors:  G Kidd; C R Mason; M A Brantley; G A Owen
Journal:  J Acoust Soc Am       Date:  1989-10       Impact factor: 1.840

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Authors:  R J Salvi; S S Saunders; N L Powers; F A Boettcher
Journal:  J Comp Physiol A       Date:  1992-02       Impact factor: 1.836

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Journal:  Brain Res       Date:  1974-04-26       Impact factor: 3.252

8.  Glutamatergic and GABAergic regulation of neural responses in inferior colliculus to amplitude-modulated sounds.

Authors:  Huiming Zhang; Jack B Kelly
Journal:  J Neurophysiol       Date:  2003-03-26       Impact factor: 2.714

9.  Neural encoding of amplitude modulation within the auditory midbrain of squirrel monkeys.

Authors:  P Müller-Preuss; C Flachskamm; A Bieser
Journal:  Hear Res       Date:  1994-11       Impact factor: 3.208

10.  Decoding sound source location and separation using neural population activity patterns.

Authors:  Mitchell L Day; Bertrand Delgutte
Journal:  J Neurosci       Date:  2013-10-02       Impact factor: 6.167

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  2 in total

Review 1.  Animal models of hidden hearing loss: Does auditory-nerve-fiber loss cause real-world listening difficulties?

Authors:  Kenneth S Henry
Journal:  Mol Cell Neurosci       Date:  2021-12-07       Impact factor: 4.314

2.  Responses to diotic tone-in-noise stimuli in the inferior colliculus: stimulus envelope and neural fluctuation cues.

Authors:  Langchen Fan; Kenneth S Henry; Laurel H Carney
Journal:  Hear Res       Date:  2021-08-02       Impact factor: 3.672

  2 in total

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