ArticleFrontiers in cellular neuroscience2022
Detecting Cochlear Synaptopathy Through Curvature Quantification of the Auditory Brainstem Response.
Article in Frontiers in cellular neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diabetes mellitus, hearing loss, and therapeutic interventions: A systematic review of insights from preclinical animal models.PloS one · 2024Pooled it
- An open-source deep learning-based toolbox for automated auditory brainstem response analyses (ABRA).Scientific reports · 2026Article
- Is allergic rhinitis associated with hidden hearing loss in pediatric/adolescent patients? A cross-sectional study.Frontiers in pediatrics · 2026Article
- An Open-Source Deep Learning-Based Toolbox for Automated Auditory Brainstem Response Analyses (ABRA).bioRxiv : the preprint server for biology · 2025Article
- Transient-Evoked Otoacoustic Emissions May Reveal Damage to Outer Hair Cells Caused by Exposure to Recreational Noise: A Narrative Review.Medicina (Kaunas, Lithuania) · 2025Review
- Consequences and Mechanisms of Noise-Induced Cochlear Synaptopathy and Hidden Hearing Loss, With Focuses on Signal Perception in Noise and Temporal Processing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- The relationship and interdependence of auditory thresholds, proposed behavioural measures of hidden hearing loss, and physiological measures of auditory function.International journal of audiology · 2025Article
- The curvature quantification of wave I in auditory brainstem responses detects cochlear synaptopathy in human beings.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 · 2024Article
- Minimum Detectable Differences in Electrocochleography Measurements: Bayesian-Based Predictions.Journal of the Association for Research in Otolaryngology : JARO · 2023Article
- Optimizing non-invasive functional markers for cochlear deafferentation based on electrocochleography and auditory brainstem responses.The Journal of the Acoustical Society of America · 2022Article
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9 authors.
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Abstract
The sound-evoked electrical compound potential known as auditory brainstem response (ABR) represents the firing of a heterogenous population of auditory neurons in response to sound stimuli, and is often used for clinical diagnosis based on wave amplitude and latency. However, recent ABR applications to detect human cochlear synaptopathy have led to inconsistent results, mainly due to the high variability of ABR wave-1 amplitude. Here, rather than focusing on the amplitude of ABR wave 1, we evaluated the use of ABR wave curvature to detect cochlear synaptic loss. We first compared four curvature quantification methods using simulated ABR waves, and identified that the cubic spline method using five data points produced the most accurate quantification. We next evaluated this quantification method with ABR data from an established mouse model with cochlear synaptopathy. The data clearly demonstrated that curvature measurement is more sensitive and consistent in identifying cochlear synaptic loss in mice compared to the amplitude and latency measurements. We further tested this curvature method in a different mouse model presenting with otitis media. The change in curvature profile due to middle ear infection in otitis media is different from the profile of mice with cochlear synaptopathy. Thus, our study suggests that curvature quantification can be used to address the current ABR variability issue, and may lead to additional applications in the clinic diagnosis of hearing disorders.
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