AI Article Synopsis

  • The study aims to identify how the auditory nerve neurophonic (ANN) contributes to electrocochleography (ECochG) in pediatric cochlear implant recipients, particularly comparing those with and without auditory nerve spectrum disorder (ANSD).
  • ECochG is a technique that can help predict outcomes in cochlear implant users by distinguishing between signals generated by hair cells (cochlear microphonic, CM) and those from the auditory nerve (ANN).
  • Results indicated that while ANSD subjects had higher ANN magnitudes in low frequency responses, its overall contribution to the signal was lower compared to non-ANSD subjects, highlighting variability in the neural responses in children with ANSD.

Article Abstract

Hypothesis: Characterize the contribution of the auditory nerve neurophonic (ANN) to electrocochleography (ECochG) of pediatric cochlear implant (CI) recipients with and without auditory nerve spectrum disorder (ANSD).

Background: ECochG is an emerging technique for predicting outcomes in CI recipients. Its utility may be increased by separating the cochlear microphonic (CM), produced by hair cells, from the ANN, the evoked potential correlate of neural phase-locking, which are mixed in the ongoing portion of the response to low frequency tone bursts.

Methods: Responses to tone bursts of different frequency and intensities were recorded from the round window of pediatric CI recipients. Separation of the CM and ANN was performed using a model of the underlying processes that lead to the shapes of the observed waveforms.

Results: Preoperative mean pure tone amplitudes of the included ANSD (n = 36) and non-ANSD subjects (n = 123), were similar (89.5 and 93.5, p = 0.1). Total of 1,024 ECochG responses to frequency and intensity series were recorded. The mean correlation ( r ) between the input and the modeled signals was 0.973 ± 0.056 (standard deviation). The ANN magnitudes were higher in the ANSD group (ANOVAs, F = 26.5 for frequency and 21.9 for intensity, df's = 1, p 's < 0.001). However, its relative contribution to the overall signal was lower (ANOVAs, F = 25.8 and 12.1, df = 1, p 's < 0.001).

Conclusions: ANN was detected in low frequency ECochG responses but not high frequency responses in both ANSD and non-ANSD subjects. ANSD subjects, evidence of neural contribution in responses to low frequency stimuli was highly variable and often comparable to signals recorded in non-ANSD subjects. The computational model revealed that on average the ANN comprised a lower proportion of the overall signal than in non-ANSD subjects.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9329248PMC
http://dx.doi.org/10.1097/MAO.0000000000003568DOI Listing

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