ArticleScientific reports2022
Electrocochleography and cognition are important predictors of speech perception outcomes in noise for cochlear implant recipients.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Evaluating Human Auditory Nerve (AN) and Brainstem Function Through Level-Dependent Chirps and Predicted AN Firing Distributions.Journal of the Association for Research in Otolaryngology : JARO · 2026Article
- Estimating Performance Using Tonotopic Measurements of Intracochlear Electrocochleography: Comparison of Lateral Wall and Perimodiolar Arrays.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2026Article
- Alpha oscillatory activity reveals focused-attentional disparity between cochlear implant users and normal hearing listeners.Scientific reports · 2026Article
- Understanding the Mechanisms Driving Fibrosis Following Cochlear Implantation-Lessons from Other Tissues.Cells · 2025Review
- Computer-based Auditory Training in New Adult Cochlear Implant Recipients: A Review of Training Outcomes in More than 100 Patients in the Outpatient Setting.Seminars in hearing · 2025Review
- Evaluating cochlear implant outcomes in DFNA9 subjects: a comprehensive study on cerebral white matter lesions and vestibular abnormalities.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 · 2025Article
- Validating an Evoked Potential Platform for Electrocochleography During Cochlear Implantation.The Laryngoscope · 2025Article
- ZH-ECochG Bode Plot: A Novel Approach to Visualize Electrocochleographic Data in Cochlear Implant Users.Journal of clinical medicine · 2024Article
- Identifying Slim Modiolar Electrode Tip Fold-Over With Intracochlear Electrocochleography.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2024Article
- Evolving a Model for Cochlear Implant Outcome.Journal of clinical medicine · 2023Article
- Predictors of Short-Term Changes in Quality of Life after Cochlear Implantation.Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology · 2023Observational
- Factors influencing the relationship between cochlear health measures and speech recognition in cochlear implant users.Frontiers in integrative neuroscience · 2023Article
- Exploring neurocognitive factors and brain activation in adult cochlear implant recipients associated with speech perception outcomes-A scoping review.Frontiers in neuroscience · 2023Article
- Assessment of cochlear synaptopathy by electrocochleography to low frequencies in a preclinical model and human subjects.Frontiers in neurology · 2023Article
- Electrically evoked compound action potentials in cochlear implant users with preoperative residual hearing.Frontiers in human neuroscience · 2023Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Although significant progress has been made in understanding outcomes following cochlear implantation, predicting performance remains a challenge. Duration of hearing loss, age at implantation, and electrode positioning within the cochlea together explain ~ 25% of the variability in speech-perception scores in quiet using the cochlear implant (CI). Electrocochleography (ECochG) responses, prior to implantation, account for 47% of the variance in the same speech-perception measures. No study to date has explored CI performance in noise, a more realistic measure of natural listening. This study aimed to (1) validate ECochG total response (ECochG-TR) as a predictor of performance in quiet and (2) evaluate whether ECochG-TR explained variability in noise performance. Thirty-five adult CI recipients were enrolled with outcomes assessed at 3-months post-implantation. The results confirm previous studies showing a strong correlation of ECochG-TR with speech-perception in quiet (r = 0.77). ECochG-TR independently explained 34% of the variability in noise performance. Multivariate modeling using ECochG-TR and Montreal Cognitive Assessment (MoCA) scores explained 60% of the variability in speech-perception in noise. Thus, ECochG-TR, a measure of the cochlear substrate prior to implantation, is necessary but not sufficient for explaining performance in noise. Rather, a cognitive measure is also needed to improve prediction of noise performance.
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