Evidence map›Paper›PMID 36130065›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2022

Correlating Perceptual Voice Quality in Adductor Spasmodic Dysphonia With Computer Vision Assessment of Glottal Geometry Dynamics.

Quinn A Peterson, Teng Fei, Lauren E Sy, Laura L O Froeschke, Abie H Mendelsohn, Gerald S Berke, David A Peterson

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

7 authors.

Quinn A PetersonDepartment of Computer Science and Software Engineering, California Polytechnic State University, San Luis Obispo.ORCID 0000-0002-9002-2742
Teng FeiDepartment of Cognitive Science, University of California, San Diego, La Jolla.
Lauren E SyDepartment of Cognitive Science, University of California, San Diego, La Jolla.
Laura L O FroeschkeDepartment of Communication Sciences and Disorders, Elmhurst University, IL.
Abie H MendelsohnDepartment of Head and Neck Surgery, David Geffen School of Medicine, University of California, Los Angeles.
Gerald S BerkeDepartment of Head and Neck Surgery, David Geffen School of Medicine, University of California, Los Angeles.
David A PetersonInstitute for Neural Computation, University of California, San Diego, La Jolla.

Funding

Dystonia Coalition- Pilot ProjectU54NS116025 · NINDS · EMORY UNIVERSITY · PI JINNAH, HYDER A · 2019 to 2023
$7.1M
Dystonia CoalitionU54NS065701 · NINDS · EMORY UNIVERSITY · PI JINNAH, HYDER A · 2009 to 2014
$7.0M
Dystonia CoalitionU54TR001456 · NCATS · EMORY UNIVERSITY · PI JINNAH, HYDER A · 2015 to 2016
$2.5M
NCATS NIH HHS U54 TR001456NINDS NIH HHS U54 NS065701NINDS NIH HHS U54 NS116025
6 · The paper itself

Abstract

purposeThis study examined the relationship between voice quality and glottal geometry dynamics in patients with adductor spasmodic dysphonia (ADSD).

methodAn objective computer vision and machine learning system was developed to extract glottal geometry dynamics from nasolaryngoscopic video recordings for 78 patients with ADSD. General regression models were used to examine the relationship between overall voice quality and 15 variables that capture glottal geometry dynamics derived from the computer vision system. Two experts in ADSD independently rated voice quality for two separate voice tasks for every patient, yielding four different voice quality rating models.

resultsAll four of the regression models exhibited positive correlations with clinical assessments of voice quality (

conclusionWe found specific glottal geometry dynamics that correspond to voice quality in ADSD.

Indexed as

DysphoniaVoiceComputersGlottisHumansVoice Quality

Identifiers

PMID36130065
PMCPMC9927624

What OpenQuestion holds

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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.