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Related Concept Videos

Language Development01:22

Language Development

977
Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
977

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Related Experiment Video

Updated: Feb 22, 2026

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

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

Published on: March 24, 2023

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Speech processor data logging helps in predicting early linguistic outcomes in implanted children.

Letizia Guerzoni1, Domenico Cuda1

  • 1Department of Otorhinolaryngology, "Guglielmo da Saliceto" Hospital, Via Cantone del Cristo 40, 29121 Piacenza, Italy.

International Journal of Pediatric Otorhinolaryngology
|October 2, 2017
PubMed
Summary

Listening data from cochlear implants (CI) can predict early language skills in young children. More time listening to speech in quiet positively impacts lexical development.

Keywords:
Cochlear implantData loggingLanguage developmentListening environment

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Area of Science:

  • Pediatric audiology
  • Speech-language pathology
  • Biomedical engineering

Background:

  • Early auditory and linguistic development is crucial for children with profound congenital sensorineural hearing loss.
  • Cochlear implantation (CI) in the first two years of life offers a significant opportunity for auditory rehabilitation.
  • Understanding factors that predict successful outcomes in young CI users is essential for optimizing intervention.

Purpose of the Study:

  • To evaluate the predictive value of listening data from speech processors for early auditory and linguistic skills in children who received cochlear implants (CI) before age two.
  • To investigate the relationship between cumulative listening time to speech (in quiet and in noise) and auditory/lexical development.
  • To assess the utility of the CI data logging system in predicting functional outcomes.

Main Methods:

  • Prospective observational non-randomized study involving ten children with profound congenital sensorineural hearing loss (mean age at CI activation 16.9 months).
  • Auditory skills assessed using the Infant Toddler Meaningful Inventory Scale and Category of Auditory Performance.
  • Lexical development evaluated with the MacArthur-Bates Communicative Development Inventory.
  • Data logging system extracted daily listening time and acoustic scene analyses; one-year cumulative exposure to speech in quiet and noise was analyzed.

Main Results:

  • A significant positive correlation was observed between exposure time to speech in quiet at low loudness levels (<70 dB) and lexical quotient after one year of CI use.
  • Infant Toddler Meaningful Inventory Scale showed a negative correlation with high speech-in-noise loudness levels (>80 dB).
  • The Category of Auditory Performance did not demonstrate a relationship with the logged listening data.

Conclusions:

  • The listening environment, as captured by data logging, significantly influences early functional outcomes in young children with cochlear implants.
  • The data logging system shows promise as a tool for predicting early linguistic and auditory development in pediatric CI users.
  • Tailoring listening experiences, particularly emphasizing quiet speech exposure, may enhance early language acquisition in implanted children.