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Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages
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Auditory cortical processing in cochlear-implanted children with different language outcomes.

Ola Abdallah Ibraheem1, Enaas Ahmad Kolkaila2, Ebtesam Hamed Nada3

  • 1Audio-Vestibular Medicine Unit, Department of Otorhinolaryngology-Head and Neck Surgery, Faculty of Medicine, University of Zagazig, Zagazig, Egypt. ola_medvoice@yahoo.com.

European Archives of Oto-Rhino-Laryngology : Official Journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : Affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
|April 10, 2020
PubMed
Summary
This summary is machine-generated.

Mismatch negativity (MMN) objectively assesses speech discrimination in pediatric cochlear implant (CI) users. This auditory evoked potential predicts language outcomes, aiding CI programming and auditory monitoring.

Keywords:
Auditory cortical processingChildrenCochlear implantationLanguage developmentMismatch negativity

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Area of Science:

  • Auditory Neuroscience
  • Neuroscience
  • Speech Perception

Background:

  • Behavioral language development assessment is crucial for cochlear implantation (CI) success but challenging in infants and young children.
  • Objective measures of speech discrimination are needed for this population.
  • Mismatch negativity (MMN) offers a potential objective auditory cortical assessment.

Purpose of the Study:

  • To predict language performance in pediatric CI recipients using auditory cortical assessment of speech discrimination with MMN.
  • To differentiate between good and poor CI performers based on MMN.
  • To establish MMN as a predictive tool for language development post-implantation.

Main Methods:

  • Forty pediatric CI recipients were divided into good (n=20) and poor (n=20) language performance groups, matched for age, gender, and socioeconomic status.
  • Mismatch negativity (MMN) was elicited and analyzed for latency, amplitude, and area.
  • MMN characteristics were compared between groups, and their relationship with behavioral language measures was investigated.

Main Results:

  • MMN was present in all good performers and 87.5% of poor performers.
  • Good performers exhibited significantly shorter MMN latency, larger amplitude, and larger area compared to poor performers.
  • MMN results significantly predicted behavioral language evaluation outcomes.

Conclusions:

  • MMN serves as a clinically applicable, objective measure of speech discrimination ability in pediatric CI users.
  • MMN can be valuable for CI programming and auditory cortical monitoring during rehabilitation.
  • This objective measure supports personalized auditory rehabilitation strategies for young CI recipients.