Evidence map›Paper›PMID 27837052›Full record

ArticleTrends in hearing2016

Individual Differences in Auditory Brainstem Response Wave Characteristics: Relations to Different Aspects of Peripheral Hearing Loss.

Sarah Verhulst, Anoop Jagadeesh, Manfred Mauermann, Frauke Ernst

Abstract read
In one paragraph

Article in Trends in hearing, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  8. Developing a Calibration Method to Minimize Variability in Auditory Evoked Potentials.Journal of the Association for Research in Otolaryngology : JARO · 2025
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  20. Computational modeling of the human compound action potential.The Journal of the Acoustical Society of America · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sarah VerhulstCluster of Excellence Hearing4all and Medizinische Physik, Department of Medical Physics and Acoustics, Oldenburg University, Oldenburg, Germany s.verhulst@ugent.be.
Anoop JagadeeshCluster of Excellence Hearing4all and Medizinische Physik, Department of Medical Physics and Acoustics, Oldenburg University, Oldenburg, Germany.
Manfred MauermannCluster of Excellence Hearing4all and Medizinische Physik, Department of Medical Physics and Acoustics, Oldenburg University, Oldenburg, Germany.
Frauke ErnstCluster of Excellence Hearing4all and Medizinische Physik, Department of Medical Physics and Acoustics, Oldenburg University, Oldenburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Little is known about how outer hair cell loss interacts with noise-induced and age-related auditory nerve degradation (i.e., cochlear synaptopathy) to affect auditory brainstem response (ABR) wave characteristics. Given that listeners with impaired audiograms likely suffer from mixtures of these hearing deficits and that ABR amplitudes have successfully been used to isolate synaptopathy in listeners with normal audiograms, an improved understanding of how different hearing pathologies affect the ABR source generators will improve their sensitivity in hearing diagnostics. We employed a functional model for human ABRs in which different combinations of hearing deficits were simulated and show that high-frequency cochlear gain loss steepens the slope of the ABR Wave-V latency versus intensity and amplitude versus intensity curves. We propose that grouping listeners according to a ratio of these slope metrics (i.e., the ABR growth ratio) might offer a way to factor out the outer hair cell loss deficit and maximally relate individual differences for constant ratios to other peripheral hearing deficits such as cochlear synaptopathy. We compared the model predictions to recorded click-ABRs from 30 participants with normal or high-frequency sloping audiograms and confirm the predicted relationship between the ABR latency growth curve and audiogram slope. Experimental ABR amplitude growth showed large individual differences and was compared with the Wave-I amplitude, Wave-V/I ratio, or the interwave

Indexed as

Evoked Potentials, Auditory, Brain StemHearing LossAuditory ThresholdCochleaDeafnessHumansIndividualityauditory brainstem responsescochlear neuropathycochlear synaptopathydiagnosticshearing losshidden hearing loss

Identifiers

PMID27837052
PMCPMC5117250

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.