ArticleFrontiers in neuroscience2017
A Model-Based Approach for Separating the Cochlear Microphonic from the Auditory Nerve Neurophonic in the Ongoing Response Using Electrocochleography.
Article in Frontiers in neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
20 citing papers in PubMed, 46 citations in OpenAlex.
- Implications of phase difference and amplitude ratio from intracochlear and extracochlear electrocochleography in normal-hearing guinea pigs.Frontiers in neuroscience · 2026Article
- Validating an Evoked Potential Platform for Electrocochleography During Cochlear Implantation.The Laryngoscope · 2025Article
- 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
- Middle ear muscle and medial olivocochlear activity inferred from individual human ears via cochlear potentials.The Journal of the Acoustical Society of America · 2023Article
- Acute effects of cochleostomy and electrode-array insertion on compound action potentials in normal-hearing guinea pigs.Frontiers in neuroscience · 2023Article
- Assessment of cochlear synaptopathy by electrocochleography to low frequencies in a preclinical model and human subjects.Frontiers in neurology · 2023Article
- Objective Detection of Tinnitus Based on Electrophysiology.Brain sciences · 2022Review
- Neural Contributions to the Cochlear Summating Potential: Spiking and Dendritic Components.Journal of the Association for Research in Otolaryngology : JARO · 2022Article
- In Vivo Basilar Membrane Time Delays in Humans.Brain sciences · 2022Article
- Electrocochleography and cognition are important predictors of speech perception outcomes in noise for cochlear implant recipients.Scientific reports · 2022Article
- Objectification of intracochlear electrocochleography using machine learning.Frontiers in neurology · 2022Article
- Lack of neural contributions to the summating potential in humans with Meniere's disease.Frontiers in neuroscience · 2022Article
- Electrocochleography in cochlear implantation: Development, applications, and future directions.World journal of otorhinolaryngology - head and neck surgery · 2021Review
- Light sheet microscopy of the gerbil cochlea.The Journal of comparative neurology · 2021Article
- Cochlear implants and other inner ear prostheses: today and tomorrow.Current opinion in physiology · 2020Article
- Hair cell and neural contributions to the cochlear summating potential.Journal of neurophysiology · 2019Article
- An analytic approach to identifying the sources of the low-frequency round window cochlear response.Hearing research · 2019Article
- Response Changes During Insertion of a Cochlear Implant Using Extracochlear Electrocochleography.Ear and hearingArticle
- Intracochlear Electrocochleography: Response Patterns During Cochlear Implantation and Hearing Preservation.Ear and hearingArticle
- Residual Cochlear Function in Adults and Children Receiving Cochlear Implants: Correlations With Speech Perception Outcomes.Ear and hearingArticle
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Electrocochleography (ECochG) is a potential clinically valuable technique for predicting speech perception outcomes in cochlear implant (CI) recipients, among other uses. Current analysis is limited by an inability to quantify hair cell and neural contributions which are mixed in the ongoing part of the response to low frequency tones. Here, we used a model based on source properties to account for recorded waveform shapes and to separate the combined signal into its components. The model for the cochlear microphonic (CM) was a sinusoid with parameters for independent saturation of the peaks and the troughs of the responses. The model for the auditory nerve neurophonic (ANN) was the convolution of a unit potential and population cycle histogram with a parameter for spread of excitation. Phases of the ANN and CM were additional parameters. The average cycle from the ongoing response was the input, and adaptive fitting identified CM and ANN parameters that best reproduced the waveform shape. Test datasets were responses recorded from the round windows of CI recipients, from the round window of gerbils before and after application of neurotoxins, and with simulated signals where each parameter could be manipulated in isolation. Waveforms recorded from 284 CI recipients had a variety of morphologies that the model fit with an average
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.