Transitioning from bimodal to bilateral cochlear implant listening: Speech recognition and localization in four individuals

Lisa G. Potts, Ruth Y. Litovsky

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

Purpose: The use of bilateral stimulation is becoming common for cochlear implant (CI) recipients with either (a) a CI in one ear and a hearing aid (HA) in the nonimplanted ear (CI&HA-bimodal) or (b) CIs in both ears (CI&CI-bilateral). The objective of this study was to evaluate 4 individuals who transitioned from bimodal to bilateral stimulation. Method: Participants had completed a larger study of bimodal hearing and subsequently received a second CI. Test procedures from the bimodal study, including roaming speech recognition, localization, and a questionnaire (the Speech, Spatial, and Qualities of Hearing Scale; Gatehouse & Noble, 2004) were repeated after 6-7 months of bilateral CI experience. Results: Speech recognition and localization were not significantly different between bimodal and unilateral CI. In contrast, performance was significantly better with CI&CI compared with unilateral CI. Speech recognition with CI&CI was significantly better than with CI&HA for 2 of 4 participants. Localization was significantly better for all participants with CI&CI compared with CI&HA. CI&CI performance was rated as significantly better on the Speech, Spatial, and Qualities of Hearing Scale compared with CI&HA. Conclusions: There was a strong preference for CI&CI for all participants. The variability in speech recognition and localization, however, suggests that performance under these stimulus conditions is individualized. Differences in hearing and/or HA history may explain performance differences.

Original languageEnglish
Pages (from-to)79-92
Number of pages14
JournalAmerican Journal of Audiology
Volume23
Issue number1
DOIs
StatePublished - Mar 2014

Keywords

  • Bilateral cochlear implants
  • Bimodal devices
  • Cochlear implant
  • Hearing aid
  • Localization
  • Speech recognition

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