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Published on: October 29, 2018
Simulating psychophysical tuning curves in listeners with dead regions
Bastiaan Warnaar1, Morten L Jepsen, Wouter A Dreschler
1Department of Clinical and Experimental Audiology, The Academic Medical, Amsterdam, The Netherlands. b.warnaar@amc.nl
Functional auditory models reveal that outer hair cell (OHC) activity and inner hair cell (IHC) insensitivity impact dead region diagnosis using psychophysical tuning curves (PTCs). This offers insights into OHC function and dead region characteristics.
Area of Science:
- Auditory Neuroscience
- Psychoacoustics
- Computational Auditory Modeling
Background:
- Accurate diagnosis of cochlear dead regions is crucial for understanding hearing impairment.
- Psychophysical tuning curves (PTCs) are used to identify these dead regions.
- The influence of specific cochlear pathologies on PTC-based diagnosis requires further elucidation.
Purpose of the Study:
- To investigate the relationship between dead region diagnosis using the off-frequency psychophysical tuning curve (PTC) tip and probe tone characteristics.
- To evaluate the impact of simulated inner hair cell (IHC) and outer hair cell (OHC) dysfunction on PTCs.
Main Methods:
- A functional auditory processing model simulated various conditions: complete IHC loss, OHC dysfunction, combined IHC/OHC issues, and IHC insensitivity.
- Model predictions were validated against experimental data.
- PTC data from normal-hearing and hearing-impaired listeners were compared with model-simulated data.
Main Results:
- Outer hair cell (OHC) activity and inner hair cell (IHC) insensitivity were found to significantly affect the shift in PTC tips as probe level increased.
- Simulated OHC dysfunction and IHC insensitivity altered the diagnostic outcomes derived from PTCs.
Conclusions:
- OHC activity and IHC insensitivity can modify the diagnosis of dead regions using PTCs.
- Model results provide supplementary information for dead region diagnosis, including edge frequency and OHC function assessment.
- This study highlights the importance of considering cochlear function when interpreting PTC data.
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