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Related Experiment Video

Updated: Aug 25, 2025

Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages
06:04

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Published on: March 24, 2023

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Within- and across-frequency temporal processing and speech perception in cochlear implant users.

Chelsea M Blankenship1, Jareen Meinzen-Derr2, Fawen Zhang3

  • 1Communication Sciences Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States of America.

Plos One
|October 13, 2022
PubMed
Summary
This summary is machine-generated.

Cochlear implant (CI) users with poorer speech perception show differences in within-frequency temporal processing, as measured by cortical auditory evoked potentials (CAEPs). Within-frequency CAEPs are better predictors of speech performance in CI users than across-frequency CAEPs.

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Area of Science:

  • Auditory Neuroscience
  • Neuroscience
  • Speech Perception

Background:

  • Cochlear implant (CI) recipient speech perception varies significantly, influenced by temporal processing abilities.
  • Temporal processing is assessed via gap detection tasks (within- and across-frequency).
  • Understanding these processes is crucial for improving CI outcomes.

Purpose of the Study:

  • To evaluate behavioral and electrophysiological measures of temporal processing (within- and across-frequency).
  • To correlate these measures with speech perception performance in CI users.
  • To identify predictors of speech performance in CI recipients.

Main Methods:

  • 11 post-lingual adult CI users and 11 normal-hearing (NH) peers participated.
  • Speech perception was assessed using CNC, AzBio, and BKB-SIN tests.
  • Behavioral gap detection thresholds (GDTwithin, GDTacross) and cortical auditory evoked potentials (CAEPs) were measured.

Main Results:

  • CI users had poorer speech perception than NH listeners, but similar GDTs.
  • CI users showed increased N1 latency for across-frequency CAEPs compared to NH peers.
  • Within-frequency CAEPs correlated with speech scores, with poorer performance linked to smaller N1-P2 amplitude and longer N1 latency.

Conclusions:

  • Within- and across-frequency gap detection likely involve distinct neural mechanisms.
  • Within-frequency gap detection tasks and CAEPs can identify CI users with poor speech performance.
  • Within-frequency CAEPs are superior predictors of speech perception compared to across-frequency CAEPs in CI users.