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DOI: 10.1055/s-0040-1713950
JAAA CEU Program
Publication History
Publication Date:
12 June 2020 (online)
![](https://www.thieme-connect.de/media/10.1055-s-00046128/202005/lookinside/thumbnails/10-1055-s-0040-1713950_cme-1.jpg)
Questions refer to Tamati et al, “High- and Low-Performing Adult Cochlear Implant Users on High-Variability Sentence Recognition: Differences in Auditory Spectral Resolution and Neurocognitive Functioning,“ 324–335.
Learner Outcomes
Readers of this article should be able to:
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Understand that both auditory sensitivity and neurocognitive skills contribute to speech-recognition diff erences among postlingually deafened adult cochlear implant (CI) users.
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Consider that auditory spectral resolution may play the most important and limiting role for low-performing CI users.
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CEU Questions
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Which factor is not associated with diff erences in spectral resolution and speech recognition in postlingually deafened adult CI users?
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Patient's residual hearing
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Patient's gender
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Patient's duration of deafness
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What is meant by “top-down” processing in the context of CI users?
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The capacity of individual CI users to make use of neurocognitive processes and language knowledge to understand the degraded sensory information
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Diff erences in sensory input related to the CI device
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Eff ects of adverse listening conditions on CI users
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Compared to high-performing CI users, low-performing CI users are more susceptible to:
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Sources of signal degradation, including noise and speech variability
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Practice eff ects associated with repeated assessments
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Hard-device failures
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The Perceptually Robust English Sentence Test Open-set (PRESTO) materials have been shown to:
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Be less challenging to recognize than sentence materials with lower talker variability
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Minimize talker variability by incorporating fewer talkers, genders, and regional accents
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Yield large individual diff erences in performance related to several neurocognitive skills
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Results from this study showed that the highperforming and low-performing CI groups were primarily discriminated by which scores?
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Spectral-Temporally Modulated Ripple Test (SMRT)
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California Verbal Learning Test, Version II (CVLT)
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Test of Word Reading Effi ciency, Version 2 (TOWRE)
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In the cohort of CI users in this study, which variable was most predictive of the CI users' performance on PRESTO?
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Verbal learning and memory
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Lexical/phonological processing speed
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Auditory spectral resolution
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Neurocognitive abilities also contributed to discriminating between high- and low-performing CI groups, as evidenced by results on which assessment of nonverbal reasoning?
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TOWRE
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Raven's Progressive Matrices Test
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CVLT
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Overall results suggest that:
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Only auditory spectral resolution contributes to discriminating between high- and low-performing CI groups
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Only neurocognitive skills contribute to discriminating between high- and low-performing CI groups
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Both neurocognitive functioning and auditory spectral resolution contribute to discriminating between high- and low-performing CI groups
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With reduced sensory input, listeners tend to use perceptual strategies relying on:
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“top-down” processing
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“bottom-up” processing
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Guesswork
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The ability to engage neurocognitive resources to compensate for a degraded signal is likely to be:
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Reduced for CI users with the best spectral resolution
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Reduced for CI users with poor spectral resolution
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Not related to a CI user's spectral resolution
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