Evidence map›Paper›PMID 26592748›Full record

ArticleJournal of biomechanical engineering2016

Subject-Specific Computational Modeling of Evoked Rabbit Phonation.

Siyuan Chang, Carolyn K Novaleski, Tsuyoshi Kojima, Masanobu Mizuta, Haoxiang Luo, Bernard Rousseau

Open access · bronzeAbstract read
In one paragraph

Article in Journal of biomechanical engineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact, top 91% 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

14 citing papers in PubMed, 20 citations in OpenAlex.

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  9. Medialization Laryngoplasty: A Review for Speech-Language Pathologists.Journal of speech, language, and hearing research : JSLHR · 2021
    Review
  10. Article
  11. Article
  12. High-fidelity continuum modeling predicts avian voiced sound production.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  13. Article
  14. 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

6 authors at 1 institution in 1 country.

Siyuan Chang
Carolyn K Novaleski
Tsuyoshi Kojima
Masanobu Mizuta
Haoxiang Luo
Bernard Rousseau
Vanderbilt University · US

Funding

Molecular Pathophysiology of Acute PhonotraumaR01DC011338 · NIDCD · VANDERBILT UNIVERSITY · PI ROUSSEAU, BERNARD · 2011 to 2015
$1.9M
NIDCD NIH HHS R01 DC 011338NIDCD NIH HHS R01 DC011338
6 · The paper itself

Abstract

When developing high-fidelity computational model of vocal fold vibration for voice production of individuals, one would run into typical issues of unknown model parameters and model validation of individual-specific characteristics of phonation. In the current study, the evoked rabbit phonation is adopted to explore some of these issues. In particular, the mechanical properties of the rabbit's vocal fold tissue are unknown for individual subjects. In the model, we couple a 3D vocal fold model that is based on the magnetic resonance (MR) scan of the rabbit larynx and a simple one-dimensional (1D) model for the glottal airflow to perform fast simulations of the vocal fold dynamics. This hybrid three-dimensional (3D)/1D model is then used along with the experimental measurement of each individual subject for determination of the vocal fold properties. The vibration frequency and deformation amplitude from the final model are matched reasonably well for individual subjects. The modeling and validation approaches adopted here could be useful for future development of subject-specific computational models of vocal fold vibration.

Indexed as

Models, BiologicalPhonationAnimalsElasticityFeasibility StudiesMaleRabbitsVibrationVocal Cords

Identifiers

PMID26592748
PMCPMC5101034
OpenAlexW2174891508

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.