Evidence map›Paper›PMID 42380381›Full record

ArticleJournal of the Association for Research in Otolaryngology : JARO2026

Computational Model for Synthesizing Auditory Brainstem Responses to Assess Neuronal Alterations in Aging and Autistic Animal Models.

Ben-Zheng Li, Shani Poleg, Matthew Ridenour, Daniel Tollin, Tim Lei, Achim Klug

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Article in Journal of the Association for Research in Otolaryngology : JARO, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Ben-Zheng Li *Department of Physiology & Biophysics, University of Colorado School of Medicine, Aurora, CO, USA.ORCID http://orcid.org/0000-0002-8051-6212
Shani Poleg *Department of Physiology & Biophysics, University of Colorado School of Medicine, Aurora, CO, USA.
Matthew RidenourDepartment of Physiology & Biophysics, University of Colorado School of Medicine, Aurora, CO, USA.
Daniel TollinDepartment of Physiology & Biophysics, University of Colorado School of Medicine, Aurora, CO, USA.ORCID http://orcid.org/0000-0001-6790-1290
Tim LeiDepartment of Electrical Engineering, University of Colorado Denver, Denver, CO, USA.ORCID http://orcid.org/0000-0002-3797-1092
Achim KlugDepartment of Physiology & Biophysics, University of Colorado School of Medicine, Aurora, CO, USA. achim.klug@cuanschutz.edu.ORCID http://orcid.org/0000-0002-3383-850X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe auditory brainstem response (ABR) is a widely used objective electrophysiology measure for non-invasively assessing auditory function and neural activity in the auditory brainstem, but its ability to reflect detailed neuronal processing is limited due to the averaging nature of the electroencephalogram-type recordings.

methodThis study addresses this limitation by developing a computational model of the auditory brainstem, which is capable of synthesizing ABR traces based on a large, population scale neural extrapolation of a spiking neuronal network of auditory brainstem circuitry. The model was able to recapitulate alterations in ABR waveform morphology that have been shown to be present in two medical conditions: animal models of autism and aging. Moreover, in both conditions, the ABR alterations are caused by known, distinct changes in auditory brainstem physiology, and the model could recapitulate these changes.

resultsIn the autism model, the simulation revealed myelin deficits and hyperexcitability, which caused a decreased wave III amplitude and a prolonged wave III-V interval, consistent with experimentally recorded ABRs in Fmr1-KO mice (Fmr1-KO: N = 19, 9 females; B6: N = 10, 3 females). For the aging condition (old: N = 23, 11 females, P750 to P1167; young: N = 39, 13 females, P60 to P109), the model recapitulated ABRs recorded in aged gerbils and indicated a reduction in activity in the medial nucleus of the trapezoid body (MNTB), a finding validated by confocal imaging data.

conclusionThese results demonstrate not only the model's accuracy but also its ability to link features of ABR morphology with underlying neuronal properties and suggest follow-up physiological experiments.

Indexed as

Age-related hearing lossAuditory brainstem responseComputational modelFragile X syndromeNeural simulationSpiking neuronal network model

Identifiers

PMID42380381

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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.