ArticleThe Journal of the Acoustical Society of America2021
The summating potential in human electrocochleography: Gaussian models and Fourier analysis.
Article in The Journal of the Acoustical Society of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Electrocochleographic Changes Predict an Early Sign of Cochlear Degeneration.World journal of otorhinolaryngology - head and neck surgery · 2026Article
- Modeling the impact of cochlear nerve degeneration on speech recognition performance.PloS one · 2025Article
- Evidence of cochlear neural degeneration in normal-hearing subjects with tinnitus.Scientific reports · 2023Article
- Minimum Detectable Differences in Electrocochleography Measurements: Bayesian-Based Predictions.Journal of the Association for Research in Otolaryngology : JARO · 2023Article
- Isolating auditory-nerve contributions to electrocochleography by high-pass filtering: A better biomarker for cochlear nerve degeneration?JASA express letters · 2023Article
- Temporal Envelope Coding of the Human Auditory Nerve Inferred from Electrocochleography: Comparison with Envelope Following Responses.Journal of the Association for Research in Otolaryngology : JARO · 2022Article
- Neural Contributions to the Cochlear Summating Potential: Spiking and Dendritic Components.Journal of the Association for Research in Otolaryngology : JARO · 2022Article
- Electrocochleography in Auditory Neuropathy Related to Mutations in the OTOF or OPA1 Gene.Audiology research · 2021Review
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Authors and funding
5 authors.
Funding
Abstract
In recent electrocochleographic studies, the amplitude of the summating potential (SP) was an important predictor of performance on word-recognition in difficult listening environments among normal-hearing listeners; paradoxically the SP was largest in those with the worst scores. SP has traditionally been extracted by visual inspection, a technique prone to subjectivity and error. Here, we assess the utility of a fitting algorithm [Kamerer, Neely, and Rasetshwane (2020). J Acoust Soc Am. 147, 25-31] using a summed-Gaussian model to objectify and improve SP identification. Results show that SPs extracted by visual inspection correlate better with word scores than those from the model fits. We also use fast Fourier transform to decompose these evoked responses into their spectral components to gain insight into the cellular generators of SP. We find a component at 310 Hz associated with word-identification tasks that correlates with SP amplitude. This component is absent in patients with genetic mutations affecting synaptic transmission and may reflect a contribution from excitatory post-synaptic potentials in auditory nerve fibers.
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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.