EAP recordings in ineraid patients--correlations with psychophysical measures and possible implications for patient fitting

• Published in: Ear and hearing Vol. 23; no. 2; p. 81
• Main Authors: Zimmerling, Martin J, Hochmair, Erwin S
• Format: Journal Article
• Language: English
• Published: United States 01.04.2002
• Subjects: Auditory Threshold; Cochlear Implants; Cochlear Nerve - physiology; Deafness - rehabilitation; Electric Stimulation - instrumentation; Equipment Design; Evoked Potentials - physiology; Humans; Prosthesis Fitting; Psychophysics - methods
• ISSN: 0196-0202
• DOI: 10.1097/00003446-200204000-00001

Objective measurements can be helpful for cochlear implant fitting of difficult populations, as for example very young children. One method, the recording of the electrically evoked compound action potential (EAP), measures the nerve recruitment in the cochlea in response to stimulation through the implant. For coding strategies implemented at a moderate stimulation rate of 250 pps per channel, useful correlations between EAP data and psychophysical data have been already found. With new systems running at higher rates, it is important to check these correlations again. This study investigates the correlations between psychophysical data and EAP measures calculated from EAP amplitude growth functions. EAP data were recorded in 12 Ineraid subjects. Additionally, behavioral thresholds (THR) and maximum acceptable loudness levels (MAL) were determined for stimulation rates of 80 pps and 2,020 pps for each electrode. Useful correlations between EAP data and psychophysical data were found at the low stimulation rate (80 pps). However, at the higher stimulation rate (2,020 pps) correlations were not significant. They were improved substantially, however, by introducing a factor that corrected for disparities due to temporal integration. Incorporation of this factor, which controls for the influence of the stimulation rate on the threshold, improved the correlations between EAP measures recorded at 80 pps and psychophysical MALs measured at 2,020 pps to better than r = 0.70. EAP data as such can only be used to predict behavioral THRs or MCLs at low stimulation rates. To cope with temporal integration effects at higher stimulation rates, EAP data must be rate corrected. The introduction of a threshold-rate-factor is a promising way to achieve that goal. Further investigations need to be performed.