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Related Experiment Video

Updated: May 22, 2026

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice

Published on: May 10, 2019

Modeling auditory evoked brainstem responses to transient stimuli.

Filip Munch Rønne¹, Torsten Dau, James Harte

¹Centre for Applied Hearing Research, Acoustic Technology, Department of Electrical Engineering, Technical University of Denmark, DK-2800 Kgs Lyngby, Denmark. fro@elektro.dtu.dk

The Journal of the Acoustical Society of America

|May 8, 2012

Summary

A new model simulates auditory brainstem responses (ABRs) to sound stimuli. It highlights how cochlear nonlinearities and dispersion influence ABR generation, particularly wave-V amplitude.

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Last Updated: May 22, 2026

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice

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Published on: May 10, 2019

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Cochlear Implant Surgery and Electrically-evoked Auditory Brainstem Response Recordings in C57BL/6 Mice

Cochlear Implant Surgery and Electrically-evoked Auditory Brainstem Response Recordings in C57BL/6 Mice

Published on: January 9, 2019

Area of Science:

Auditory Neuroscience
Computational Auditory Neuroscience
Bioacoustics

Background:

Auditory brainstem responses (ABRs) are crucial for assessing auditory function.
Existing models often simplify the complex nonlinear processes in the auditory system.

Purpose of the Study:

To develop and validate a quantitative model for predicting ABRs to various auditory stimuli.
To investigate the role of cochlear nonlinearities and dispersion in ABR formation.

Main Methods:

Convolution of a humanized auditory-nerve model with an empirically derived unitary response function.
Simulation of ABRs to tone pulses, clicks, and chirps across different stimulation levels and rates.

Main Results:

The model accurately predicts frequency-dependent wave-V latency for tone pulses.
It captures nonlinear wave-V amplitude changes with chirp stimulation rate and level.
The model underestimates the level dependency of tone-pulse and click-evoked latencies.

Conclusions:

The findings support the significant impact of cochlear nonlinear and dispersive processes on ABR generation.
The model provides a framework for understanding ABR formation and can be refined for improved accuracy.