Evidence map›Paper›PMID 37326124›Full record

ArticleThe Laryngoscope2023

Use of Motion Capture Technology to Study Extrinsic Laryngeal Muscle Tension and Hyperfunction.

Steven Hogue, Xiaohu Guo, Robert A Morrison, Sarah McDowell, Adrianna C Shembel

Open access · hybridAbstract read
In one paragraph

Article in The Laryngoscope, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Salient Voice Symptoms in Primary Muscle Tension Dysphonia.Journal of voice : official journal of the Voice Foundation · 2025
    Article
  4. Laryngeal and Global Somatosensation in Primary Muscle Tension Dysphonia.Journal of voice : official journal of the Voice Foundation · 2024
    Article
  5. Article
  6. 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

5 authors at 1 institution in 1 country.

Steven HogueDepartment of Computer Science, Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas, Richardson, Texas, USA.
Xiaohu GuoDepartment of Computer Science, Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas, Richardson, Texas, USA.
Robert A MorrisonDepartment of Speech, Language, and Hearing, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Texas, USA.
Sarah McDowellDepartment of Speech, Language, and Hearing, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Texas, USA.
Adrianna C ShembelDepartment of Speech, Language, and Hearing, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Texas, USA.ORCID 0000-0002-8874-9360
The University of Texas at Dallas · US

Funding

Novel approaches to the study of laryngeal muscle in functional voice disordersR21DC019207 · NIDCD · UT SOUTHWESTERN MEDICAL CENTER · PI SHEMBEL, ADRIANNA · 2021 to 2023
$492k
NIDCD NIH HHS R21 DC019207NIDCD NIH HHS R21DC019207
6 · The paper itself

Abstract

objectivesPatients with primary muscle tension dysphonia (pMTD) commonly report paralaryngeal pain and discomfort, and extrinsic laryngeal muscle (ELM) tension and hyperfunction are commonly implicated. However, quantitative physiological metrics to study ELM movement patterns for the characterization of pMTD diagnosis and monitoring of treatment progress are lacking. The objectives of this study were to validate motion capture (MoCap) technology to study ELM kinematics, determine whether MoCap could distinguish ELM tension and hyperfunction between individuals with and without pMTD, and investigate relationships between common clinical voice metrics and ELM kinematics.

methodsThirty subjects (15 with pMTD and 15 controls) were recruited for the study. Sixteen markers were placed on different anatomical landmarks on the chin and anterior neck. Movements across these regions were tracked during four voice and speech tasks using two three-dimensional cameras. Movement displacement and variability were determined based on 16 key-points and 53 edges.

resultsIntraclass correlation coefficients demonstrated high intra- and inter-rater reliability (p's < 0.001). Other than greater movement displacements around the thyrohyoid space during longer phrasing (reading passage, 30-s diadochokinetics) and more movement variability in patients with pMTD, kinematic patterns between groups were similar across the 53 edges for the four voice and speech tasks. There were also no significant correlations between ELM kinematics and standard voice metrics.

conclusionResults demonstrate the feasibility and reliability of MoCap for the study of ELM kinematics. LEVEL OF EVIDENCE: 3 Laryngoscope, 133:3472-3481, 2023.

Indexed as

DysphoniaLaryngeal MusclesHumansMotion CaptureMuscle TonusOrganothiophosphatesReproducibility of ResultsethopropOrganothiophosphatesextrinsic laryngeal musclesmotion captureprimary muscle tension dysphonia

Identifiers

PMID37326124
PMCPMC10724377
OpenAlexW4380871858

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.