scholarly journals The Relationship between Electrical Stapedius Reflex Thresholds and Behaviorally Most Comfortable Levels in Experienced Cochlear Implant Users

2020 ◽  
Vol 16 (1) ◽  
pp. 8-12
Author(s):  
Ayca Ciprut ◽  
◽  
Caglayan Adigul ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 220-226
Author(s):  
Yew-Song Cheng ◽  
Mario A. Svirsky

The presence of spiral ganglion cells (SGCs) is widely accepted to be a prerequisite for successful speech perception with a cochlear implant (CI), because SGCs provide the only known conduit between the implant electrode and the central auditory system. By extension, it has been hypothesized that the number of SGCs might be an important factor in CI outcomes. An impressive body of work has been published on findings from the laborious process of collecting temporal bones from CI users and counting the number of SGCs to correlate those numbers with speech perception scores, but the findings thus far have been conflicting. We performed a meta-analysis of all published studies with the hope that combining existing data may help us reach a more definitive conclusion about the relationship between SGC count and speech perception scores in adults.


2010 ◽  
Vol 21 (01) ◽  
pp. 016-027 ◽  
Author(s):  
Eun Kyung Jeon ◽  
Carolyn J. Brown ◽  
Christine P. Etler ◽  
Sara O'Brien ◽  
Li-Kuei Chiou ◽  
...  

Background: In the mid-1990s, Cochlear Corporation introduced a cochlear implant (CI) to the market that was equipped with hardware that made it possible to record electrically evoked compound action potentials (ECAPs) from CI users of all ages. Over the course of the next decade, many studies were published that compared ECAP thresholds with levels used to program the speech processor of the Nucleus CI. In 2001 Advanced Bionics Corporation introduced the Clarion CII cochlear implant (the Clarion CII internal device is also known as the CII Bionic Ear). This cochlear implant was also equipped with a system that allowed measurement of the ECAP. While a great deal is known about how ECAP thresholds compare with the levels used to program the speech processor of the Nucleus CI, relatively few studies have reported comparisons between ECAP thresholds and the levels used to program the speech processor of the Advanced Bionics CI. Purpose: To explore the relationship between ECAP thresholds and behavioral measures of perceptual dynamic range for the range of stimuli commonly used to program the speech processor of the Advanced Bionics CI. Research Design: This prospective and experimental study uses correlational and descriptive statistics to define the relationship between ECAP thresholds and perceptual dynamic range measures. Study Sample: Twelve postlingually deafened adults participated in this study. All were experienced users of the Advanced Bionics CI system. Data Collection and Analysis: ECAP thresholds were recorded using the commercially available SoundWave software. Perceptual measures of threshold (T-level), most comfortable level (M-level), and maximum comfortable level (C-level) were obtained using both “tone bursts” and “speech bursts.” The relationship between these perceptual and electrophysiological variables was defined using paired t-tests as well as correlation and linear regression. Results: ECAP thresholds were significantly correlated with the perceptual dynamic range measures studied; however, correlations were not strong. Analysis of the individual data revealed considerable discrepancy between the contour of ECAP threshold versus electrode function and the behavioral loudness estimates used for programming. Conclusion: ECAP thresholds recorded from Advanced Bionics cochlear implant users always indicated levels where the programming stimulus was audible for the listener. However, the correlation between ECAP thresholds and M-levels (the primary metric used to program the speech processor of the Advanced Bionics CI), while statistically significant, was quite modest. If programming levels are to be determined on the basis of ECAP thresholds, care should be taken to ensure that stimulation is not uncomfortably loud, particularly on the basal electrodes in the array.


2018 ◽  
Author(s):  
N Freimann ◽  
D Polterauer ◽  
S Gollwitzer ◽  
J Müller ◽  
ME Schuster

1988 ◽  
Vol 9 (1) ◽  
pp. 4-8 ◽  
Author(s):  
James Jerger ◽  
Terrey A. Oliver ◽  
Rose A. Chmiel

2009 ◽  
Vol 108 (5) ◽  
pp. 1480-1487 ◽  
Author(s):  
Mark W. Crawford ◽  
Michelle C. White ◽  
Evan J. Propst ◽  
Christian Zaarour ◽  
Sharon Cushing ◽  
...  

1993 ◽  
Vol 36 (3) ◽  
pp. 488-502 ◽  
Author(s):  
Nancy Tye-Murray ◽  
Karen Iler Kirk

This investigation assessed how the vowel and diphthong production of young users of cochlear implants varied over time and how performance on the Phonetic Level Evaluation (PLE, Ling, 1976) corresponded with vowel and diphthong production during spontaneous speech. Eight children with prelingual deafness were tested with the PLE on five occasions: before receiving a Cochlear Corporation Nucleus cochlear implant and at the following points after receiving a cochlear implant: 6 months, 12 months, 18 months, and 24 or 36 months. An audiovideo recording of spontaneous speech was obtained at each test session. Performance on the PLE was scored with the scoring system designed by Kirk and Hill-Brown (1985). Performance during spontaneous speaking was scored by referencing a transcription of the spoken message to a transcription of the signed message. The correlations between the PLE and the spontaneous speech measures were weak, suggesting that performance on the PLE has low predictive value for vowel and diphthong production during spontaneous speaking. The results from the spontaneous speech samples collected over time suggest that two changes occurred: (a) vowel and diphthong production became more diverse and (b) production became more accurate. It is suggested that increased access to formant information enables subjects to enlarge their system of phonological performance and refine their motoric ability to establish vowel and diphthong targets.


PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261295
Author(s):  
Florian Langner ◽  
Julie G. Arenberg ◽  
Andreas Büchner ◽  
Waldo Nogueira

Objectives The relationship between electrode-nerve interface (ENI) estimates and inter-subject differences in speech performance with sequential and simultaneous channel stimulation in adult cochlear implant listeners were explored. We investigated the hypothesis that individuals with good ENIs would perform better with simultaneous compared to sequential channel stimulation speech processing strategies than those estimated to have poor ENIs. Methods Fourteen postlingually deaf implanted cochlear implant users participated in the study. Speech understanding was assessed with a sentence test at signal-to-noise ratios that resulted in 50% performance for each user with the baseline strategy F120 Sequential. Two simultaneous stimulation strategies with either two (Paired) or three sets of virtual channels (Triplet) were tested at the same signal-to-noise ratio. ENI measures were estimated through: (I) voltage spread with electrical field imaging, (II) behavioral detection thresholds with focused stimulation, and (III) slope (IPG slope effect) and 50%-point differences (dB offset effect) of amplitude growth functions from electrically evoked compound action potentials with two interphase gaps. Results A significant effect of strategy on speech understanding performance was found, with Triplets showing a trend towards worse speech understanding performance than sequential stimulation. Focused thresholds correlated positively with the difference required to reach most comfortable level (MCL) between Sequential and Triplet strategies, an indirect measure of channel interaction. A significant offset effect (difference in dB between 50%-point for higher eCAP growth function slopes with two IPGs) was observed. No significant correlation was observed between the slopes for the two IPGs tested. None of the measures used in this study correlated with the differences in speech understanding scores between strategies. Conclusions The ENI measure based on behavioral focused thresholds could explain some of the difference in MCLs, but none of the ENI measures could explain the decrease in speech understanding with increasing pairs of simultaneously stimulated electrodes in processing strategies.


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