ArticleProceedings of meetings on acoustics. Acoustical Society of America2014
THE ROLE OF THE THYROARYTENOID MUSCLE IN REGULATING GLOTTAL AIRFLOW AND GLOTTAL CLOSURE IN AN IN VIVO CANINE LARYNX MODEL.
Article in Proceedings of meetings on acoustics. Acoustical Society of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- The Effect Of Hyoid Movement On Vocal Fold And False Vocal Fold Configurations In Excised Human Larynges.Journal of voice : official journal of the Voice Foundation · 2026Article
- Glottal Area Waveform Measurements for Healthy Female and Male Speakers in Typical, High-Frequency, and Soft Phonation.Journal of speech, language, and hearing research : JSLHR · 2026Article
- Vocal tract contribution to vocal intensity: Interaction between vocal fold adduction, formant tuning, and fundamental frequency.The Journal of the Acoustical Society of America · 2025Article
- A Methodology to Quantify the Effective Vertical Thickness of Prephonatory Vocal Fold Medial Surface.Journal of voice : official journal of the Voice Foundation · 2024Article
- Register transitions in an in vivo canine model as a function of intrinsic laryngeal muscle stimulation, fundamental frequency, and sound pressure level.The Journal of the Acoustical Society of America · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
This study investigated the effectiveness of individual laryngeal muscles in regulating the mean glottal flow and glottal closure pattern during phonation in an in vivo canine larynx model. Phonation experiments were performed with parametric stimulation of the thyroarytenoid (TA), lateral cricoarytenoid (LCA), interarytenoid (IA), and the cricothyroid (CT) muscles. For each stimulation level, the subglottal pressure was gradually increased to produce phonation. The subglottal pressure, the volume flow, and the outside acoustic pressure were measured together with high-speed recording of vocal fold vibration from a superior view. The results show that the TA muscle played a dominant role in regulating both the membranous glottal width and the glottal closure pattern during phonation, indicating an important role of the TA muscle in regulating voice quality. The TA muscle activation was also the most effective in regulating the mean glottal flow, and thus an important laryngeal adjustment in airflow conservation, particularly at high subglottal pressures or loud voice production, although increasing TA activation decreased the vocal intensity. This study also presented a complete set of data on muscular control of the glottal width and voice production, which can be used in validation of computational models of vocal fold posturing and voice production.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.