Expressive Speech Intelligibility, Vocabulary, and Language in Children With Bilateral Cochlear Implants: A Retrospective Analysis of Device Use and its Influence on the Auditory Production Loop

by Deborrah Johnston, AuD, CCC-A, FAAA

OBJECTIVES AND METHODS

  • Based on device use via data logging, two subject groups were selected:
    • Group A (N=2) with device use averaging 11.6 hours per day
    • Group B (N=2) with device use averaging 8.9 hours per day
  • All subjects (mean age of activation was 1 year, 5 months) were implanted either simultaneously or sequentially with a short interval for the second side.
  • Standard Scores on the Expressive One Word Picture Vocabulary Test (EOWPVT-4) were collected via record review over a four (4) year time interval.
  • Datalogging via manufacturer software was obtained over multiple sessions.
  • Final maximum Standard Scores were obtained prior to transition to regular education from an intensive educational setting focusing on Listening and Spoken Language (LSL).

INTRODUCTION

Research in the field of neuroplasticity has revealed that 90% of human brain development occurs in the first five years of life. For understanding speech through audition, the first three years are critical. For producing intelligible speech, the window of neural opportunity is the first five years of life. Access to the phonemes of speech is essential for the development of oral language. The influence of consistent device wear time for cochlear implant recipients during the early childhood years is explored in this retrospective case review. Data logging provides service providers the opportunity to monitor and improve this critical component, which influences both the development of speech perception and spoken language. Ensuring regular data logging of devices worn by children with cochlear implants is becoming a routine part of the post-implantation habilitative protocol.

EXPRESSIVE ONE WORD PICTURE VOCABULARY TEST (EOWPVT-4)

expressive-one-word-vocab-test

RESULTS

  • Group A longitudinal mean = 93.5, maximum final mean = 99, well within one (1) standard deviation of the mean for age-matched, typically hearing peers
  • Group B longitudinal mean = 67.5, maximum final mean = 70, representing two (2) SD’s below the mean for age-matched, typically hearing peers
  • Group A data logging average was 30.3% higher than that of Group B
  • Over four (4) years, Group A outperformed Group B by 38.%
  • At transition, Group A outperformed Group B by 41.4

FUTURE RESEARCH

  • Explore correlation of data logging with receptive and expressive language test measures, as a predictor of optimization and automaticity of the Auditory Production Loop.
  • Validate a progress monitoring measure to assess the robustness of the developing APL, with provision for more aggressive LSL habilitation during the brain’s window of neural plasticity for listening and talking. This could be of critical impact for young children with cochlear implants who are not enrolled in specialized educational settings.
  • Investigate whether graphic presentation of longitudinal test scores relative to device use may act as a motivator for parental support of consistent device use outside of educational and therapeutic environments.

CONCLUSIONS

  • Suboptimal device wear time in the very early childhood years post-activation was associated with delayed and limited development of oral vocabulary, reflecting in weaker oral language skills and reduced Auditory Production Loop automaticity.
  • Children with adequate daily device use made steady gains in their oral vocabulary scores, which was associated with improved oral language skills, optimal Auditory Production Loop, and improved preparedness for transition to non-specialized education.
  • Early cochlear implantation and intensive listening and spoken language education and habilitation leads to improved oral language (vocabulary) outcomes, when associated with consistent device use. (“Eyes Open, Ears On”)
  • Auditory Production (Feedback) Loop optimization and automaticity is likely correlated with more hours of device wear time with speech input and warrants further research.

DATA LOGGING

data-logging-graph

MEAN AND MAXIMUM SCORES

mean-max-scores

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