4.5 Article

Facilitation properties in electrically evoked compound action potentials depending on spatial location and on threshold

Journal

HEARING RESEARCH
Volume 438, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.heares.2023.108858

Keywords

Cochlear implant; ECAP; Facilitation; Temporal summation; Neural response telemetry; Electrophysiology

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This study investigated the impact of the variation in ECAP threshold in relation to electrode channel on the facilitation properties of spiral ganglion neurons (SGNs). The results showed that the maximum facilitated amplitude was dependent on the ECAP threshold and independent of the electrode channel. Thus, the facilitation paradigm can be a useful tool for studying local temporal processing patterns of SGNs.
Spiral ganglion neurons (SGNs) facilitation properties can be recorded utilizing electrically evoked compound action potential (ECAP). While intracochlear variation of the ECAP threshold in relation to its electrode channel is reported, no study investigated its impact on facilitation. In this study, we quantified intracochlear variation of the facilitation properties in cochlear implants (CI) using ECAPs. We hypothesized that the facilitation effect is dependent on the electrode channel and its ECAP threshold. Therefore, ECAPs were recorded in 23 CI subjects. For each subject, five default (channel-derived) and up to two additional (threshold-derived) stimulation sites were defined. Facilitation was quantified by the paradigm introduced by (Hey et al., 2017) with optimized parameter settings. For each channel the maximum facilitated amplitude was determined by a series of ECAP measurements. A linear mixed-effects model was used to investigate the impact of the electrode channel and ECAP threshold on the maximum facilitated amplitude. The maximum facilitated amplitude was found to be dependent on the ECAP threshold and independent on the electrode channel. We conclude that the facilitation paradigm is a useful and feasible tool to gain local information on the SGNs temporal processing patterns.

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