Evaluating and comparing behavioural and electrophysiological estimates of neural health in cochlear implant users
bepress|Engineering
computational modelling
Guinea Pigs
01 natural sciences
bepress|Life Sciences|Neuroscience and Neurobiology
03 medical and health sciences
0302 clinical medicine
cochlear implants
psychophysics
multi-pulse integration
neural survival
0103 physical sciences
Animals
Computer Simulation
PsyArXiv|Engineering Psychology
polarity effect
Cochlear Nerve
bepress|Life Sciences|Neuroscience and Neurobiology|Other Neuroscience and Neurobiology
inter-phase gap
ECAP
Reproducibility of Results
Other Neuroscience and Neurobiology
Engineering Psychology
neural health
Cochlear Implants
PsyArXiv|Neuroscience
PsyArXiv|Neuroscience|Other Neuroscience and Neurobiology
Auditory Perception
Neuroscience
Research Article
DOI:
10.31234/osf.io/2kp7x
Publication Date:
2020-03-03T11:54:40Z
AUTHORS (6)
ABSTRACT
Variations in neural health along the cochlea can degrade the spectral and temporal representation of sounds conveyed by cochlear implants (CIs) . We evaluated and compared several methods that have been proposed as estimates of neural health patterns, in order to explore the extent to which the different measures provide converging and consistent neural health estimates. All measures were obtained from the same 11 users of the Cochlear Corporation CI. The two behavioural measures were multipulse integration (MPI) and the polarity effect (PE), both measured on each of seven electrodes per subject. MPI was measured as the difference between thresholds at 80-pps and 1000-pps, and PE as the difference in thresholds between cathodic- and anodic-centred quadraphasic (QP) 80-pps pulse trains. It has been proposed that good neural health corresponds to a large MPI and to a large negative PE (lower thresholds for cathodic than anodic pulses). The electrophysiological measure was the effect of interphase gap (IPG) on the offset of the ECAP amplitude growth function (AGF), which has been correlated with spiral ganglion nerve density in guinea pigs. This “IPG offset” was obtained on the same subset of electrodes as for the behavioural measures. Despite high test-retest reliability, there were no significant correlations between the neural health estimates for either within-subject comparisons across the electrode array, or between-subjects comparisons of the means. A phenomenological model of a population of spiral ganglion neurons was then used to investigate physiological mechanisms that might underlie the different neural health estimates. The combined experimental and modelling results provide evidence that PE, MPI, and IPG offset reflect different characteristics of the electrode-neural interface.
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