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Putative Auditory-Evoked Neurophonic Measurements Using a Novel Signal Processing Technique: A Pilot Case Study
Alison M Cook1,2, Ashleigh J Allsop1, Greg A O'Beirne1,2
1New Zealand Institute of Language Brain and Behaviour, University of CanterburyChristchurch, New Zealand.
Frontiers in Neuroscience
|October 4, 2017
Summary
This study explores auditory nerve neurophonic (ANN) waveforms for assessing low-frequency hearing in cochlear implant patients. A modified technique shows promise for faster, accurate intraoperative measurements, though results require cautious interpretation.
Area of Science:
- Oto-neurology
- Auditory Electrophysiology
Background:
- Cochlear implant candidacy and surgical techniques necessitate accurate intraoperative assessment of low-frequency hearing thresholds.
- Current electrocochleography methods using onset compound action potentials (CAPs) are less accurate for frequencies below 1 kHz.
- Auditory nerve neurophonic (ANN) waveforms offer a potential solution by tracking phase-locked neural activity during prolonged low-frequency stimuli.
Purpose of the Study:
- To investigate the feasibility of measuring ANN waveforms in human participants for intraoperative assessment of low-frequency hearing.
- To present a modified, time-efficient technique for extracting ANN waveforms.
- To evaluate the potential of ANN measurements in improving cochlear implantation outcomes.
Main Methods:
- Pilot study recording responses to 360, 525, and 725 Hz tone bursts from the cochlear promontory of one participant.
- Utilized a modified measurement technique involving a single averaged waveform and a 180° group-delayed subtraction, reducing recording time.
- Compared the modified technique with existing methods for ANN waveform extraction.
Main Results:
- Successfully recorded putative ANN waveforms in a human participant using low-frequency tone bursts.
- The modified technique demonstrated a potential to halve the recording time compared to traditional methods.
- Distinguishing purely neural responses from cochlear microphonic artifacts remains a challenge without further masking techniques.
Conclusions:
- Extraction of putative ANN waveforms can be integrated into existing electrocochleographic paradigms.
- The modified technique offers a faster approach to ANN measurement.
- Current ANN measurements should be interpreted with caution due to potential contamination by cochlear microphonics.
