J Am Acad Audiol 2020; 31(05): C1-C2
DOI: 10.1055/s-0040-1713950
JAAA CEU Program
American Academy of Audiology. All rights reserved. (2020) American Academy of Audiology

JAAA CEU Program

Further Information

Publication History

Publication Date:
12 June 2020 (online)

 

    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:

    • Understand that both auditory sensitivity and neurocognitive skills contribute to speech-recognition diff erences among postlingually deafened adult cochlear implant (CI) users.

    • Consider that auditory spectral resolution may play the most important and limiting role for low-performing CI users.


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    CEU Questions

    1. Which factor is not associated with diff erences in spectral resolution and speech recognition in postlingually deafened adult CI users?

      • Patient's residual hearing

      • Patient's gender

      • Patient's duration of deafness

    2. What is meant by “top-down” processing in the context of CI users?

      • The capacity of individual CI users to make use of neurocognitive processes and language knowledge to understand the degraded sensory information

      • Diff erences in sensory input related to the CI device

      • Eff ects of adverse listening conditions on CI users

    3. Compared to high-performing CI users, low-performing CI users are more susceptible to:

      • Sources of signal degradation, including noise and speech variability

      • Practice eff ects associated with repeated assessments

      • Hard-device failures

    4. The Perceptually Robust English Sentence Test Open-set (PRESTO) materials have been shown to:

      • Be less challenging to recognize than sentence materials with lower talker variability

      • Minimize talker variability by incorporating fewer talkers, genders, and regional accents

      • Yield large individual diff erences in performance related to several neurocognitive skills

    5. Results from this study showed that the highperforming and low-performing CI groups were primarily discriminated by which scores?

      • Spectral-Temporally Modulated Ripple Test (SMRT)

      • California Verbal Learning Test, Version II (CVLT)

      • Test of Word Reading Effi ciency, Version 2 (TOWRE)

    6. In the cohort of CI users in this study, which variable was most predictive of the CI users' performance on PRESTO?

      • Verbal learning and memory

      • Lexical/phonological processing speed

      • Auditory spectral resolution

    7. Neurocognitive abilities also contributed to discriminating between high- and low-performing CI groups, as evidenced by results on which assessment of nonverbal reasoning?

      • TOWRE

      • Raven's Progressive Matrices Test

      • CVLT

    8. Overall results suggest that:

      • Only auditory spectral resolution contributes to discriminating between high- and low-performing CI groups

      • Only neurocognitive skills contribute to discriminating between high- and low-performing CI groups

      • Both neurocognitive functioning and auditory spectral resolution contribute to discriminating between high- and low-performing CI groups

    9. With reduced sensory input, listeners tend to use perceptual strategies relying on:

      • “top-down” processing

      • “bottom-up” processing

      • Guesswork

    10. The ability to engage neurocognitive resources to compensate for a degraded signal is likely to be:

      • Reduced for CI users with the best spectral resolution

      • Reduced for CI users with poor spectral resolution

      • Not related to a CI user's spectral resolution


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    No conflict of interest has been declared by the author(s).