ArticleThe Journal of the Acoustical Society of America2022
Predicting synapse counts in living humans by combining computational models with auditory physiology.
Article in The Journal of the Acoustical Society of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 28 citations in OpenAlex.
- Article
- A delayed pharmacological treatment strategy attenuates noise-induced tinnitus in rats.Scientific reports · 2026Article
- An open-source deep learning-based toolbox for automated auditory brainstem response analyses (ABRA).Scientific reports · 2026Article
- The Search for a Diagnostic Indicator of Cochlear Deafferentation: Predicting Age and Veteran Status from Auditory Evoked Potential Measures.medRxiv : the preprint server for health sciences · 2025Article
- An Open-Source Deep Learning-Based Toolbox for Automated Auditory Brainstem Response Analyses (ABRA).bioRxiv : the preprint server for biology · 2025Article
- Article
- Deciphering Compromised Speech-in-Noise Intelligibility in Older Listeners: The Role of Cochlear Synaptopathy.eNeuro · 2025Article
- Modeling the impact of cochlear nerve degeneration on speech recognition performance.PloS one · 2025Article
- Associations Between Physiological Correlates of Cochlear Synaptopathy and Tinnitus in a Veteran Population.Journal of speech, language, and hearing research : JSLHR · 2023Article
- Subclinical hearing loss associated with aging.Journal of otology · 2023Article
- Isolating auditory-nerve contributions to electrocochleography by high-pass filtering: A better biomarker for cochlear nerve degeneration?JASA express letters · 2023Article
- Translational Research in Audiology: Presence in the Literature.Audiology research · 2022Review
- Predicting neural deficits in sensorineural hearing loss from word recognition scores.Scientific reports · 2022Article
- The Relative and Combined Effects of Noise Exposure and Aging on Auditory Peripheral Neural Deafferentation: A Narrative Review.Frontiers in aging neuroscience · 2022Review
- Use of the auditory brainstem response for assessment of cochlear synaptopathy in humans.The Journal of the Acoustical Society of America · 2021Review
- The summating potential in human electrocochleography: Gaussian models and Fourier analysis.The Journal of the Acoustical Society of America · 2021Article
- Perceptual Consequences of Cochlear Deafferentation in Humans.Trends in hearingReview
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
Aging, noise exposure, and ototoxic medications lead to cochlear synapse loss in animal models. As cochlear function is highly conserved across mammalian species, synaptopathy likely occurs in humans as well. Synaptopathy is predicted to result in perceptual deficits including tinnitus, hyperacusis, and difficulty understanding speech-in-noise. The lack of a method for diagnosing synaptopathy in living humans hinders studies designed to determine if noise-induced synaptopathy occurs in humans, identify the perceptual consequences of synaptopathy, or test potential drug treatments. Several physiological measures are sensitive to synaptopathy in animal models including auditory brainstem response (ABR) wave I amplitude. However, it is unclear how to translate these measures to synaptopathy diagnosis in humans. This work demonstrates how a human computational model of the auditory periphery, which can predict ABR waveforms and distortion product otoacoustic emissions (DPOAEs), can be used to predict synaptic loss in individual human participants based on their measured DPOAE levels and ABR wave I amplitudes. Lower predicted synapse numbers were associated with advancing age, higher noise exposure history, increased likelihood of tinnitus, and poorer speech-in-noise perception. These findings demonstrate the utility of this modeling approach in predicting synapse counts from physiological data in individual human subjects.
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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.