Evidence map›Paper›PMID 22894215›Full record

ArticleThe Journal of the Acoustical Society of America2012

Obtaining reliable phase-gradient delays from otoacoustic emission data.

Christopher A Shera, Christopher Bergevin

Abstract readComparative StudyEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of the Acoustical Society of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–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

32 citing papers in PubMed.

  1. Low-frequency transient-evoked otoacoustic emission characteristics as potential indicators of hearing improvement in acute Ménière's disease: an exploratory analysis.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026
    Article
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  6. Optimal Scale-Invariant Wavelet Representation and Filtering of Human Otoacoustic Emissions.Journal of the Association for Research in Otolaryngology : JARO · 2024
    Review
  7. Swept Along: Measuring Otoacoustic Emissions Using Continuously Varying Stimuli.Journal of the Association for Research in Otolaryngology : JARO · 2024
    Review
  8. Whole Stimulus DPOAE Analysis.AIP conference proceedings · 2024
    Article
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  11. Reflection-Source Emissions Evoked with Clicks and Frequency Sweeps: Comparisons Across Levels.Journal of the Association for Research in Otolaryngology : JARO · 2021
    Article
  12. A cochlea with three parts? Evidence from otoacoustic emission phase in humans.The Journal of the Acoustical Society of America · 2020
    Article
  13. Mammalian behavior and physiology converge to confirm sharper cochlear tuning in humans.Proceedings of the National Academy of Sciences of the United States of America · 2018
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  19. Profiles of Stimulus-Frequency Otoacoustic Emissions from 0.5 to 20 kHz in Humans.Journal of the Association for Research in Otolaryngology : JARO · 2017
    Article
  20. Frequency shifts in distortion-product otoacoustic emissions evoked by swept tones.The Journal of the Acoustical Society of America · 2016
    Article
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

2 authors.

Christopher A SheraEaton-Peabody Laboratory of Auditory Physiology, Massachusetts Eye & Ear Infirmary, 243 Charles Street, Boston, Massachusetts 02114, USA. shera@epl.meei.harvard.edu
Christopher Bergevin

Funding

UNDERSTANDING OTOACOUSTIC EMISSIONSR01DC003687 · NIDCD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Christopher A Shera · 1999 to 2026
$9.8M
NIDCD NIH HHS R01 DC003687
6 · The paper itself

Abstract

Reflection-source otoacoustic emission phase-gradient delays are widely used to obtain noninvasive estimates of cochlear function and properties, such as the sharpness of mechanical tuning and its variation along the length of the cochlear partition. Although different data-processing strategies are known to yield different delay estimates and trends, their relative reliability has not been established. This paper uses in silico experiments to evaluate six methods for extracting delay trends from reflection-source otoacoustic emissions (OAEs). The six methods include both previously published procedures (e.g., phase smoothing, energy-weighting, data exclusion based on signal-to-noise ratio) and novel strategies (e.g., peak-picking, all-pass factorization). Although some of the methods perform well (e.g., peak-picking), others introduce substantial bias (e.g., phase smoothing) and are not recommended. In addition, since standing waves caused by multiple internal reflection can complicate the interpretation and compromise the application of OAE delays, this paper develops and evaluates two promising signal-processing strategies, the first based on time-frequency filtering using the continuous wavelet transform and the second on cepstral analysis, for separating the direct emission from its subsequent reflections. Altogether, the results help to resolve previous disagreements about the frequency dependence of human OAE delays and the sharpness of cochlear tuning while providing useful analysis methods for future studies.

Indexed as

Mechanotransduction, CellularModels, BiologicalOtoacoustic Emissions, SpontaneousCochleaComputer SimulationHumansPressureReaction TimeTime Factors

Identifiers

PMID22894215
PMCPMC3427360

What OpenQuestion holds

Textmetadata
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.