Evidence map›Paper›PMID 37276685›Full record

ArticleHearing research2023

Linear mixed-effect modeling of organ of Corti vibratory tuning curves.

John S Oghalai

Open access · greenAbstract read
In one paragraph

Article in Hearing research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 50% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. The Medial Olivocochlear Efferent Pathway Potentiates Cochlear Amplification in Response to Hearing Loss.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    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

1 author at 1 institution in 1 country.

John S OghalaiCaruso Department of Otolaryngology - Head and Neck Surgery, University of Southern California. Electronic address: oghalai@usc.edu.
University of Southern California · US

Funding

Cochlear mechanics in the mouseR01DC014450 · NIDCD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI John S Oghalai · 2015 to 2026
$5.6M
Mechanisms of cochlear synaptopathy after noise or blast traumaR01DC017741 · NIDCD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI OGHALAI, JOHN S · 2020 to 2024
$3.1M
Optical coherence tomography for 3D measures of cochlear mechanics in vivoR01DC013774 · NIDCD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI OGHALAI, JOHN S · 2015 to 2019
$2.1M
Otolaryngology Clinician-Scientist Training ProgramR25DC019700 · NIDCD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI John S Oghalai · 2022 to 2026
$1.5M
NIDCD NIH HHS R01 DC013774NIDCD NIH HHS R01 DC014450NIDCD NIH HHS R01 DC017741NIDCD NIH HHS R25 DC019700
6 · The paper itself

Abstract

Optical coherence tomography has become the most popular approach to experimental measures of sound-induced vibrations within the mammalian cochlea. Because it is relatively easy to use and works in the unopened cochlea, the measurement of vibratory tuning curves has become highly reliable, and averaging data from multiple animals in different experimental cohorts is now possible. Here I tested a modern statistical approach to compare cohorts for differences in the magnitude and phase of vibration. A linear mixed-effect approach with first, second, third, and fourth-order models to fit the data was tested. The third-order model best fit both the magnitude and phase data without having terms that did not contribute substantively to improving the R

Indexed as

CochleaVibrationAcoustic StimulationAnimalsMammalsMiceOrgan of CortiSoundcochleahearingoptical coherence tomographystatisticstuning curves

Identifiers

PMID37276685
PMCPMC10330841
OpenAlexW4378982509

What OpenQuestion holds

Textmetadata
LicenceTDM
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.