Evidence map›Paper›PMID 38981946›Full record

ArticleBiomechanics and modeling in mechanobiology2024

A computational study of the influence of thyroarytenoid and cricothyroid muscle interaction on vocal fold dynamics in an MRI-based human laryngeal model.

Weili Jiang, Biao Geng, Xudong Zheng, Qian Xue

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  7. A hybrid vocal fold phonatory platform for pediatric phonation modeling.Frontiers in bioengineering and biotechnology · 2025
    Article
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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.

Weili JiangDepartment of Mechanical Engineering, Kate Gleason College of Engineering, Rochester Institute of Technology, Rochester, NY, USA.ORCID http://orcid.org/0000-0002-7576-9653
Biao GengDepartment of Mechanical Engineering, Kate Gleason College of Engineering, Rochester Institute of Technology, Rochester, NY, USA.ORCID http://orcid.org/0000-0001-9729-9667
Xudong ZhengDepartment of Mechanical Engineering, Kate Gleason College of Engineering, Rochester Institute of Technology, Rochester, NY, USA.
Qian XueDepartment of Mechanical Engineering, Kate Gleason College of Engineering, Rochester Institute of Technology, Rochester, NY, USA. qxxeme@rit.edu.

Funding

Muscle Control Mechanism of Voice Production in Vocal Fold ParalysisR15DC019229 · NIDCD · UNIVERSITY OF MAINE ORONO · PI XUE, QIAN · 2021 to 2021
$432k
Division of Chemical, Bioengineering, Environmental, and Transport Systems 1652632NIDCD NIH HHS R15 DC019229NIH HHS R15DC019229
6 · The paper itself

Abstract

A human laryngeal model, incorporating all the cartilages and the intrinsic muscles, was reconstructed based on MRI data. The vocal fold was represented as a multilayer structure with detailed inner components. The activation levels of the thyroarytenoid (TA) and cricothyroid (CT) muscles were systematically varied from zero to full activation allowing for the analysis of their interaction and influence on vocal fold dynamics and glottal flow. The finite element method was employed to calculate the vocal fold dynamics, while the one-dimensional Bernoulli equation was utilized to calculate the glottal flow. The analysis was focused on the muscle influence on the fundamental frequency (f

Indexed as

Computer SimulationLaryngeal MusclesMagnetic Resonance ImagingVocal CordsBiomechanical PhenomenaFinite Element AnalysisHumansLarynxModels, BiologicalVibrationCricothyroid muscleFundamental frequencyHuman larynxNumerical modelingThyroarytenoid muscle

Identifiers

PMID38981946
PMCPMC12441979

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Registered trials

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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.