Evidence map›Paper›PMID 39172710›Full record

ReviewThe Journal of the Acoustical Society of America2024

Synthetic, self-oscillating vocal fold models for voice production researcha).

Scott L Thomson

Abstract readReview
In one paragraph

Review in The Journal of the Acoustical Society of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Effects of Asymmetric Scarring in a Lumped-Mass Vocal System.Journal of voice : official journal of the Voice Foundation · 2026
    Article
  2. Article
  3. Article
  4. A hybrid vocal fold phonatory platform for pediatric phonation modeling.Frontiers in bioengineering and biotechnology · 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.

Scott L ThomsonDepartment of Mechanical and Civil Engineering, Brigham Young University-Idaho, Rexburg, Idaho 83460, USA.

Funding

Influence of subglottic anatomy on voice productionR01DC009616 · NIDCD · UNIVERSITY OF UTAH · PI TANNER, KRISTINE MARIE · 2009 to 2022
$4.8M
Bioprintable composite materials and microfluidic tools for vocal fold restoration and repairR01DC018577 · NIDCD · MCGILL UNIVERSITY · PI MONGEAU, LUC · 2021 to 2025
$2.5M
NIDCD NIH HHS R01 DC009616NIDCD NIH HHS R01 DC018577
6 · The paper itself

Abstract

Sound for the human voice is produced by vocal fold flow-induced vibration and involves a complex coupling between flow dynamics, tissue motion, and acoustics. Over the past three decades, synthetic, self-oscillating vocal fold models have played an increasingly important role in the study of these complex physical interactions. In particular, two types of models have been established: "membranous" vocal fold models, such as a water-filled latex tube, and "elastic solid" models, such as ultrasoft silicone formed into a vocal fold-like shape and in some cases with multiple layers of differing stiffness to mimic the human vocal fold tissue structure. In this review, the designs, capabilities, and limitations of these two types of models are presented. Considerations unique to the implementation of elastic solid models, including fabrication processes and materials, are discussed. Applications in which these models have been used to study the underlying mechanical principles that govern phonation are surveyed, and experimental techniques and configurations are reviewed. Finally, recommendations for continued development of these models for even more lifelike response and clinical relevance are summarized.

Indexed as

PhonationVibrationVocal CordsBiomechanical PhenomenaElasticityHumansModels, AnatomicModels, BiologicalVoice

Identifiers

PMID39172710
PMCPMC11348498

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.