Evidence map›Paper›PMID 36787156›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2023

Measuring Articulatory Patterns in Amyotrophic Lateral Sclerosis Using a Data-Driven Articulatory Consonant Distinctiveness Space Approach.

Kristin J Teplansky, Alan Wisler, Jordan R Green, Daragh Heitzman, Sara Austin, Jun Wang

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

6 authors at 4 institutions in 1 country.

Kristin J TeplanskyDepartment of Speech, Language, and Hearing Sciences, The University of Texas at Austin.ORCID 0000-0001-5694-2548
Alan WislerMathematics and Statistics Department, Utah State University, Logan.ORCID 0000-0003-2601-2846
Jordan R GreenDepartment of Communication Sciences and Disorders, MGH Institute of Health Professions, Boston, MA.ORCID 0000-0002-1464-1373
Daragh HeitzmanMDA/ALS Clinic, Texas Neurology, Dallas.
Sara AustinDepartment of Neurology, The University of Texas at Austin.
Jun WangDepartment of Speech, Language, and Hearing Sciences, The University of Texas at Austin.ORCID 0000-0001-7265-217X
The University of Texas at Austin · USHarvard University · USTexas Neurology · USUtah State University · US

Funding

Wearable silent speech technology to enhance impaired oral communicationR01DC016621 · NIDCD · UNIVERSITY OF TEXAS AT AUSTIN · PI WANG, JUN · 2019 to 2023
$3.2M
SPEECH MOVEMENT CLASSIFICATION FOR ASSESSING AND TREATING ALSR01DC013547 · NIDCD · MGH INSTITUTE OF HEALTH PROFESSIONS · PI GREEN, JORDAN R · 2014 to 2018
$3.2M
Real-Time Articulation-to-Speech Mapping for Enhancing Impaired Oral CommunicationR03DC013990 · NIDCD · UNIVERSITY OF TEXAS DALLAS · PI WANG, JUN · 2015 to 2017
$459k
NIDCD NIH HHS R01 DC013547NIDCD NIH HHS R01 DC016621NIDCD NIH HHS R03 DC013990
6 · The paper itself

Abstract

purposeThe aim of this study was to leverage data-driven approaches, including a novel articulatory consonant distinctiveness space (ACDS) approach, to better understand speech motor control in amyotrophic lateral sclerosis (ALS).

methodElectromagnetic articulography was used to record tongue and lip movement data during the production of 10 consonants from healthy controls (

resultsThere was a significant relationship between the ACDS and intelligible speaking rate (area,

conclusionsOur comprehensive approach is sensitive to early oromotor changes in response due to disease progression. The preserved articulatory consonant space may capture the use of compensatory adaptations to counteract influences of neurodegeneration. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.22044320.

Indexed as

Amyotrophic Lateral SclerosisSpeechAlgorithmsBrain StemCase-Control StudiesDisease ProgressionFemaleHumansLipMachine LearningMaleMotor SkillsTongue

Identifiers

PMID36787156
PMCPMC10555455
OpenAlexW4320709954

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.