Evidence map›Paper›PMID 28117824›Full record

ArticleJournal of visualized experiments : JoVE2017

Ultrasound Images of the Tongue: A Tutorial for Assessment and Remediation of Speech Sound Errors.

Jonathan L Preston, Tara McAllister Byun, Suzanne E Boyce, Sarah Hamilton, Mark Tiede, Emily Phillips, Ahmed Rivera-Campos, Douglas H Whalen

3 registry-linked trialsAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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.

NCT03736213 phase1completednot on this mapstarted 2019, after this paper: background citation

Correcting Residual Errors With Spectral, Ultrasound, and Traditional Speech Therapy: Delineation of Sensorimotor Subtypes

TypeinterventionalSponsorNew York UniversityRan2019 to 2022Enrolled7ConditionsSpeech Sound DisorderArmsVisual-acoustic biofeedback, Ultrasound biofeedback
NCT03737318 nacompletednot on this mapstarted 2019, after this paper: background citation

Correcting Residual Errors With Spectral, Ultrasound, and Traditional Speech Therapy: A Randomized Controlled Trial

TypeinterventionalSponsorNew York UniversityRan2019 to 2024Enrolled108ConditionsSpeech Sound DisorderArmsBiofeedback-ultrasound, Biofeedback--visual-acoustic, Traditional articulation treatment
NCT06517225 phase2recruitingnot on this mapstarted 2024, after this paper: background citation

Visual-acoustic Intervention With Service Delivery In-person and Via Telepractice (VISIT) Non-Inferiority Trial

TypeinterventionalSponsorNew York UniversityRan2024 to 2028Enrolled76ConditionsSpeech Sound DisorderArmsVisual-acoustic biofeedback
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
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  12. Statistical evaluation of tongue capability with visual feedback.Journal of neuroengineering and rehabilitation · 2024
    Article
  13. Article
  14. Article
  15. Classification of accurate and misarticulated /Clinical linguistics & phonetics · 2023
    Article
  16. Tutorial: Motor-Based Treatment Strategies for /r/ Distortions.Language, speech, and hearing services in schools · 2020
    Review
  17. Article
  18. Article
  19. Review
  20. Do Participants Report Any Undesired Effects in Ultrasound Speech Therapy?American journal of speech-language pathology · 2018
    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

8 authors.

Jonathan L PrestonDepartment of Communication Sciences and Disorders, Syracuse University; Haskins Laboratories; jopresto@syr.edu.
Tara McAllister ByunDepartment of Communicative Sciences and Disorders, New York University.
Suzanne E BoyceHaskins Laboratories; Department of Communication Sciences and Disorders, University of Cincinnati.
Sarah HamiltonDepartment of Communication Sciences and Disorders, University of Cincinnati.
Mark TiedeHaskins Laboratories.
Emily PhillipsHaskins Laboratories.
Ahmed Rivera-CamposDepartment of Communication Sciences and Disorders, University of Cincinnati.
Douglas H WhalenHaskins Laboratories; Program in Speech-Language-Hearing Sciences, City University of New York Graduate Center; Department of Linguistics, Yale University.

Funding

Improving clinical speech remediation with ultrasound technologyR01DC013668 · NIDCD · CUNY GRADUATE SCH AND UNIV CTR · PI BOYCE, SUZANNE ELIZABETH, WHALEN, DOUGLAS H · 2014 to 2018
$3.4M
Ultrasound Biofeedback for Therapy-Resistant Speech Sound Disorders in ChildrenR03DC013152 · NIDCD · SYRACUSE UNIVERSITY · PI PRESTON, JONATHAN · 2013 to 2015
$497k
NIDCD NIH HHS R01 DC013668NIDCD NIH HHS R03 DC013152
6 · The paper itself

Abstract

Diagnostic ultrasound imaging has been a common tool in medical practice for several decades. It provides a safe and effective method for imaging structures internal to the body. There has been a recent increase in the use of ultrasound technology to visualize the shape and movements of the tongue during speech, both in typical speakers and in clinical populations. Ultrasound imaging of speech has greatly expanded our understanding of how sounds articulated with the tongue (lingual sounds) are produced. Such information can be particularly valuable for speech-language pathologists. Among other advantages, ultrasound images can be used during speech therapy to provide (1) illustrative models of typical (i.e. "correct") tongue configurations for speech sounds, and (2) a source of insight into the articulatory nature of deviant productions. The images can also be used as an additional source of feedback for clinical populations learning to distinguish their better productions from their incorrect productions, en route to establishing more effective articulatory habits. Ultrasound feedback is increasingly used by scientists and clinicians as both the expertise of the users increases and as the expense of the equipment declines. In this tutorial, procedures are presented for collecting ultrasound images of the tongue in a clinical context. We illustrate these procedures in an extended example featuring one common error sound, American English /r/. Images of correct and distorted /r/ are used to demonstrate (1) how to interpret ultrasound images, (2) how to assess tongue shape during production of speech sounds, (3), how to categorize tongue shape errors, and (4), how to provide visual feedback to elicit a more appropriate and functional tongue shape. We present a sample protocol for using real-time ultrasound images of the tongue for visual feedback to remediate speech sound errors. Additionally, example data are shown to illustrate outcomes with the procedure.

Indexed as

AdolescentChildHumansImage Processing, Computer-AssistedMovementSoundSpeechSpeech Production MeasurementTongueUltrasonographyYoung Adult

Identifiers

PMID28117824
PMCPMC5351819

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.