Firing Rate Adaptation of the Human Auditory Nerve Optimizes Neural Signal-to-Noise Ratios

Jennings, Skyler G.; Domínguez, Juan José Fernández

doi:10.1007/s10162-022-00841-7

Cited by 7 publications

(3 citation statements)

References 43 publications

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“…Although a recent study reported slow effects in their MEMR data 61 , considering (1) our data is dominated by the MOCR effects (see MEMR sub-section under Methods), and (2) because no difference in OAE inhibition is observed between short- and long-duration conditions, it is unlikely that any slow MEMR or changes in middle ear status, including pressure build-up over the course of the long duration condition, may explain our results.…”

Section: Discussionmentioning

confidence: 70%

Auditory brainstem mechanisms likely compensate for self-imposed peripheral inhibition

Boothalingam

Peterson

Powell

et al. 2023

Sci Rep

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Feedback networks in the brain regulate downstream auditory function as peripheral as the cochlea. However, the upstream neural consequences of this peripheral regulation are less understood. For instance, the medial olivocochlear reflex (MOCR) in the brainstem causes putative attenuation of responses generated in the cochlea and cortex, but those generated in the brainstem are perplexingly unaffected. Based on known neural circuitry, we hypothesized that the inhibition of peripheral input is compensated for by positive feedback in the brainstem over time. We predicted that the inhibition could be captured at the brainstem with shorter (1.5 s) than previously employed long duration (240 s) stimuli where this inhibition is likely compensated for. Results from 16 normal-hearing human listeners support our hypothesis in that when the MOCR is activated, there is a robust reduction of responses generated at the periphery, brainstem, and cortex for short-duration stimuli. Such inhibition at the brainstem, however, diminishes for long-duration stimuli suggesting some compensatory mechanisms at play. Our findings provide a novel non-invasive window into potential gain compensation mechanisms in the brainstem that may have implications for auditory disorders such as tinnitus. Our methodology will be useful in the evaluation of efferent function in individuals with hearing loss.

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Section: Discussionmentioning

confidence: 70%

Auditory brainstem mechanisms likely compensate for self-imposed peripheral inhibition

Boothalingam

Peterson

Powell

et al. 2023

Sci Rep

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show abstract

“…Nevertheless, the approach presented herein is a useful tool for the design and analysis of experiments centered on measuring the human CAP. For example, this approach could be used to predict the contributions of individual ANFs to the human CAP elicited by stimuli beyond those studied in this paper (e.g., Lichtenhan et al , 2013; Jennings and Dominguez, 2022), and novel stimuli associated with the design of a new experiment. Importantly, computational models often include options for simulating hearing loss by adjusting IHC and OHC health (Vecchi et al , 2022) and simulating aging or synaptopathy by limiting the number of model ANFs (e.g., Lopez-Poveda and Barrios, 2013).…”

Section: General Discussion and Conclusionmentioning

confidence: 99%

Section: General Discussion and Conclusionmentioning

confidence: 99%

Computational Modeling of the Human Compound Action Potential

Alamri

Jennings

2022

Preprint

Self Cite

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The auditory nerve (AN) compound action potential (CAP) is an important tool for assessing auditory disorders and monitoring the health of the auditory periphery during surgical procedures. The CAP has been mathematically conceptualized as the convolution of a unit response (UR) waveform with the firing rate of a population of AN fibers. Here, an approach for predicting experimentally recorded CAPs in humans is proposed, which involves the use of human-based computational models to simulate AN activity. CAPs elicited by clicks, chirps, and amplitude-modulated carriers were simulated and compared with empirically recorded CAPs from human subjects. In addition, narrowband CAPs derived from noise-masked clicks and tone bursts were simulated. Many morphological, temporal, and spectral aspects of human CAPs were captured by the simulations for all stimuli tested. These findings support the use of model simulations of the human CAP to refine existing human-based models of the auditory periphery, aid in the design and analysis of auditory experiments, and predict the effects of hearing loss, synaptopathy, and other auditory disorders on the human CAP.

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Temporal Envelope Coding of the Human Auditory Nerve Inferred from Electrocochleography: Comparison with Envelope Following Responses

Chen

Jennings

2022

JARO

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Firing Rate Adaptation of the Human Auditory Nerve Optimizes Neural Signal-to-Noise Ratios

Cited by 7 publications

References 43 publications

Auditory brainstem mechanisms likely compensate for self-imposed peripheral inhibition

Auditory brainstem mechanisms likely compensate for self-imposed peripheral inhibition

Computational Modeling of the Human Compound Action Potential

Temporal Envelope Coding of the Human Auditory Nerve Inferred from Electrocochleography: Comparison with Envelope Following Responses

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