ArticleThe Journal of the Acoustical Society of America2015
Functional modeling of the human auditory brainstem response to broadband stimulation.
Article in The Journal of the Acoustical Society of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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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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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
20 citing papers in PubMed, 59 citations in OpenAlex.
- Computational Model for Synthesizing Auditory Brainstem Responses to Assess Neuronal Alterations in Aging and Autistic Animal Models.Journal of the Association for Research in Otolaryngology : JARO · 2026Article
- Single Neuron Contributions to the Auditory Brainstem EEG.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Evidence for the Auditory Nerve Generating Envelope Following Responses When Measured from Eardrum Electrodes.Journal of the Association for Research in Otolaryngology : JARO · 2025Article
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- Article
- Computational modeling of the human compound action potential.The Journal of the Acoustical Society of America · 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
- Speech Categorization Reveals the Role of Early-Stage Temporal-Coherence Processing in Auditory Scene Analysis.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- A comparative study of eight human auditory models of monaural processing.Acta acustica. European Acoustics Association · 2022Article
- A convolutional neural-network framework for modelling auditory sensory cells and synapses.Communications biology · 2021Article
- On the use of envelope following responses to estimate peripheral level compression in the auditory system.Scientific reports · 2021Article
- A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applications.Nature machine intelligence · 2021Article
- Article
- Age-related Changes in Neural Coding of Envelope Cues: Peripheral Declines and Central Compensation.Neuroscience · 2019Review
- Subcortical pathways: Towards a better understanding of auditory disorders.Hearing research · 2018Review
- Auditory brainstem response latency in forward masking, a marker of sensory deficits in listeners with normal hearing thresholds.Hearing research · 2017Article
- Individual Differences in Auditory Brainstem Response Wave Characteristics: Relations to Different Aspects of Peripheral Hearing Loss.Trends in hearing · 2016Article
- Age-Related Changes in the Auditory Brainstem Response and Suprathreshold Processing of Temporal and Spectral Modulation.Trends in hearingArticle
- Article
- Nonlinear cochlear mechanics without direct vibration-amplification feedback.Physical review researchArticle
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
Population responses such as the auditory brainstem response (ABR) are commonly used for hearing screening, but the relationship between single-unit physiology and scalp-recorded population responses are not well understood. Computational models that integrate physiologically realistic models of single-unit auditory-nerve (AN), cochlear nucleus (CN) and inferior colliculus (IC) cells with models of broadband peripheral excitation can be used to simulate ABRs and thereby link detailed knowledge of animal physiology to human applications. Existing functional ABR models fail to capture the empirically observed 1.2-2 ms ABR wave-V latency-vs-intensity decrease that is thought to arise from level-dependent changes in cochlear excitation and firing synchrony across different tonotopic sections. This paper proposes an approach where level-dependent cochlear excitation patterns, which reflect human cochlear filter tuning parameters, drive AN fibers to yield realistic level-dependent properties of the ABR wave-V. The number of free model parameters is minimal, producing a model in which various sources of hearing-impairment can easily be simulated on an individualized and frequency-dependent basis. The model fits latency-vs-intensity functions observed in human ABRs and otoacoustic emissions while maintaining rate-level and threshold characteristics of single-unit AN fibers. The simulations help to reveal which tonotopic regions dominate ABR waveform peaks at different stimulus intensities.
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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.