Listening in Noise Remains a Significant Challenge for Cochlear Implant Users: Evidence from Early Deafened and Those with Progressive Hearing Loss Compared to Peers with Normal Hearing
Autor: | Doreen Zechoval, Liat Kishon-Rabin, Ronen Perez, Yossi Bugannim, Yael Zaltz |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
medicine.medical_specialty
medicine.medical_treatment lcsh:Medicine Audiology Congenital hearing loss Article 03 medical and health sciences 0302 clinical medicine Cochlear implant otorhinolaryngologic diseases top-down processing Medicine Active listening bottom-up processing 030223 otorhinolaryngology Set (psychology) speech-in-noise business.industry lcsh:R speech recognition prelingually deafened General Medicine hearing impairment Cognitive test postlingually deafened Noise progressive hearing loss QUIET Word recognition business 030217 neurology & neurosurgery congenital hearing loss |
Zdroj: | Journal of Clinical Medicine Volume 9 Issue 5 Journal of Clinical Medicine, Vol 9, Iss 1381, p 1381 (2020) |
ISSN: | 2077-0383 |
DOI: | 10.3390/jcm9051381 |
Popis: | Cochlear implants (CIs) are the state-of-the-art therapy for individuals with severe to profound hearing loss, providing them with good functional hearing. Nevertheless, speech understanding in background noise remains a significant challenge. The purposes of this study were to: (1) conduct a novel within-study comparison of speech-in-noise performance across ages in different populations of CI and normal hearing (NH) listeners using an adaptive sentence-in-noise test, and (2) examine the relative contribution of sensory information and cognitive&ndash linguistic factors to performance. Forty CI users (mean age 20 years) were divided into &ldquo early-implanted&rdquo < 4 years (n = 16) and &ldquo late-implanted&rdquo > 6 years (n = 11), all prelingually deafened, and &ldquo progressively deafened&rdquo (n = 13). The control group comprised 136 NH subjects (80 children, 56 adults). Testing included the Hebrew Matrix test, word recognition in quiet, and linguistic and cognitive tests. Results show poorer performance in noise for CI users across populations and ages compared to NH peers, and age at implantation and word recognition in quiet were found to be contributing factors. For those recognizing 50% or more of the words in quiet (n = 27), non-verbal intelligence and receptive vocabulary explained 63% of the variance in noise. This information helps delineate the relative contribution of top-down and bottom-up skills for speech recognition in noise and can help set expectations in CI counseling. |
Databáze: | OpenAIRE |
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