Speech Sound Disorder Clinical Trial
— C-RESULTSOfficial title:
Correcting Residual Errors With Spectral, Ultrasound, and Traditional Speech Therapy: Delineation of Sensorimotor Subtypes
Verified date | December 2021 |
Source | New York University |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
Children with speech sound disorder show diminished accuracy and intelligibility in spoken communication and may thus be perceived as less capable or intelligent than peers, with negative consequences for both socioemotional and socioeconomic outcomes. While most speech errors resolve by the late school-age years, between 2-5% of speakers exhibit residual speech errors (RSE) that persist through adolescence or even adulthood, reflecting about 6 million cases in the US. Both affected children/families and speech-language pathologists (SLPs) have highlighted the critical need for research to identify more effective forms of treatment for children with RSE. In a series of single-case experimental studies, research has found that treatment incorporating technologically enhanced sensory feedback (visual-acoustic biofeedback, ultrasound biofeedback) can improve speech in individuals with RSE who have not responded to previous intervention. Further research is needed to understand heterogeneity across individuals in the magnitude of response to biofeedback treatment. The overall objective of this proposal is to conduct clinical research that will guide the evidence-based management of RSE while also providing novel insights into the sensorimotor underpinnings of speech. The central hypothesis is that individual deficit profiles will predict relative response to visual-acoustic vs ultrasound biofeedback. From the larger population of children with RSE evaluated as part of C-RESULTS-RCT (Correcting Residual Errors With Spectral, Ultrasound, Traditional Speech Therapy Randomized Controlled Trial), a subset of 8 children will be selected who show a deficit in one domain (auditory or somatosensory) and intact perception in the other. Single-case methods will be used to test the hypothesis that sensory deficit profiles differentially predict response to visual-acoustic vs ultrasound biofeedback.
Status | Completed |
Enrollment | 7 |
Est. completion date | February 1, 2022 |
Est. primary completion date | February 1, 2022 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 9 Years to 15 Years |
Eligibility | Inclusion Criteria: - Must be between 9;0 and 15;11 years of age at the time of enrollment. - Must speak English as the dominant language (i.e., must have begun learning English by age 2, per parent report). - Must speak a rhotic dialect of English. - Must pass a pure-tone hearing screening at 20 decibels (dB) Hearing Level (HL). - Must pass a brief examination of oral structure and function. - Must exhibit less than thirty percent accuracy, based on trained listener ratings, on a probe list eliciting /r/ in various phonetic contexts at the word level. - Must show 0-5% accuracy in production of /r/ at the syllable level, based on treating clinicians' perceptual ratings, during an initial Dynamic Assessment phase consisting of 2 hours of traditional (non-biofeedback) instruction. - Must fit one of two profiles: (1) primary auditory deficit (scores outside the normative predictive interval for auditory measures assessing identification and discrimination of synthetic speech stimuli, but within the normative predictive interval for measures of oral stereognosis and articulator placement awareness or (2) primary somatosensory deficit, with the reverse profile of spared/impaired sensory function. Exclusion Criteria: - Must not receive a T score more than 1.3 standard deviations (SD) below the mean on the Wechsler Abbreviated Scale of Intelligence-2 (WASI-2) Matrix Reasoning. - Must not receive a standard score below 80 on the Core Language Index of the Clinical Evaluation of Language Fundamentals-5 (CELF-5). - Must not exhibit voice or fluency disorder of a severity judged likely to interfere with the ability to participate in study activities. - Must not have an existing diagnosis of developmental disability, major neurobehavioral syndrome such as cerebral palsy, Down Syndrome, or Autism Spectrum Disorder, or major neural disorder (e.g., epilepsy, agenesis of the corpus callosum) or insult (e.g., traumatic brain injury, stroke, or tumor resection). - Must not show clinically significant signs of apraxia of speech or dysarthria. |
Country | Name | City | State |
---|---|---|---|
United States | Montclair State University | Bloomfield | New Jersey |
United States | New York University | New York | New York |
United States | Syracuse University | Syracuse | New York |
Lead Sponsor | Collaborator |
---|---|
New York University | Montclair State University, National Institute on Deafness and Other Communication Disorders (NIDCD), Syracuse University |
United States,
Benway NR, Hitchcock ER, McAllister T, Feeny GT, Hill J, Preston JL. Comparing Biofeedback Types for Children With Residual /?/ Errors in American English: A Single-Case Randomization Design. Am J Speech Lang Pathol. 2021 Jul 14;30(4):1819-1845. doi: 10.1 — View Citation
Byun TM, Hitchcock ER, Swartz MT. Retroflex versus bunched in treatment for rhotic misarticulation: evidence from ultrasound biofeedback intervention. J Speech Lang Hear Res. 2014 Dec;57(6):2116-30. doi: 10.1044/2014_JSLHR-S-14-0034. — View Citation
Byun TM, Hitchcock ER. Investigating the use of traditional and spectral biofeedback approaches to intervention for /r/ misarticulation. Am J Speech Lang Pathol. 2012 Aug;21(3):207-21. doi: 10.1044/1058-0360(2012/11-0083). Epub 2012 Mar 21. — View Citation
Campbell H, Harel D, Hitchcock E, McAllister Byun T. Selecting an acoustic correlate for automated measurement of American English rhotic production in children. Int J Speech Lang Pathol. 2018 Nov;20(6):635-643. doi: 10.1080/17549507.2017.1359334. Epub 2017 Aug 10. — View Citation
Campbell H, McAllister Byun T. Deriving individualised /r/ targets from the acoustics of children's non-rhotic vowels. Clin Linguist Phon. 2018;32(1):70-87. doi: 10.1080/02699206.2017.1330898. Epub 2017 Jul 13. — View Citation
Dugan SH, Silbert N, McAllister T, Preston JL, Sotto C, Boyce SE. Modelling category goodness judgments in children with residual sound errors. Clin Linguist Phon. 2019;33(4):295-315. doi: 10.1080/02699206.2018.1477834. Epub 2018 May 24. — View Citation
Harel D, Hitchcock ER, Szeredi D, Ortiz J, McAllister Byun T. Finding the experts in the crowd: Validity and reliability of crowdsourced measures of children's gradient speech contrasts. Clin Linguist Phon. 2017;31(1):104-117. doi: 10.3109/02699206.2016.1174306. Epub 2016 Jun 7. — View Citation
Hitchcock ER, Byun TM, Swartz M, Lazarus R. Efficacy of Electropalatography for Treating Misarticulation of /r/. Am J Speech Lang Pathol. 2017 Nov 8;26(4):1141-1158. doi: 10.1044/2017_AJSLP-16-0122. — View Citation
Hitchcock ER, Byun TM. Enhancing generalisation in biofeedback intervention using the challenge point framework: a case study. Clin Linguist Phon. 2015 Jan;29(1):59-75. doi: 10.3109/02699206.2014.956232. Epub 2014 Sep 12. — View Citation
Hitchcock ER, Harel D, Byun TM. Social, Emotional, and Academic Impact of Residual Speech Errors in School-Aged Children: A Survey Study. Semin Speech Lang. 2015 Nov;36(4):283-94. doi: 10.1055/s-0035-1562911. Epub 2015 Oct 12. — View Citation
Lee S, Potamianos A, Narayanan S. Acoustics of children's speech: developmental changes of temporal and spectral parameters. J Acoust Soc Am. 1999 Mar;105(3):1455-68. doi: 10.1121/1.426686. — View Citation
McAllister Byun T, Campbell H. Differential Effects of Visual-Acoustic Biofeedback Intervention for Residual Speech Errors. Front Hum Neurosci. 2016 Nov 11;10:567. doi: 10.3389/fnhum.2016.00567. eCollection 2016. — View Citation
McAllister Byun T, Halpin PF, Szeredi D. Online crowdsourcing for efficient rating of speech: a validation study. J Commun Disord. 2015 Jan-Feb;53:70-83. doi: 10.1016/j.jcomdis.2014.11.003. Epub 2014 Dec 15. — View Citation
McAllister Byun T, Tiede M. Perception-production relations in later development of American English rhotics. PLoS One. 2017 Feb 16;12(2):e0172022. doi: 10.1371/journal.pone.0172022. eCollection 2017. — View Citation
McAllister Byun T. Efficacy of Visual-Acoustic Biofeedback Intervention for Residual Rhotic Errors: A Single-Subject Randomization Study. J Speech Lang Hear Res. 2017 May 24;60(5):1175-1193. doi: 10.1044/2016_JSLHR-S-16-0038. — View Citation
Preston JL, Holliman-Lopez G, Leece MC. Do Participants Report Any Undesired Effects in Ultrasound Speech Therapy? Am J Speech Lang Pathol. 2018 May 3;27(2):813-818. doi: 10.1044/2017_AJSLP-17-0121. — View Citation
Preston JL, Leece MC, Maas E. Motor-based treatment with and without ultrasound feedback for residual speech-sound errors. Int J Lang Commun Disord. 2017 Jan;52(1):80-94. doi: 10.1111/1460-6984.12259. Epub 2016 Jun 14. — View Citation
Preston JL, McAllister Byun T, Boyce SE, Hamilton S, Tiede M, Phillips E, Rivera-Campos A, Whalen DH. Ultrasound Images of the Tongue: A Tutorial for Assessment and Remediation of Speech Sound Errors. J Vis Exp. 2017 Jan 3;(119):55123. doi: 10.3791/55123. — View Citation
Preston JL, McAllister T, Phillips E, Boyce S, Tiede M, Kim JS, Whalen DH. Treatment for Residual Rhotic Errors With High- and Low-Frequency Ultrasound Visual Feedback: A Single-Case Experimental Design. J Speech Lang Hear Res. 2018 Aug 8;61(8):1875-1892. doi: 10.1044/2018_JSLHR-S-17-0441. — View Citation
Preston JL, McCabe P, Tiede M, Whalen DH. Tongue shapes for rhotics in school-age children with and without residual speech errors. Clin Linguist Phon. 2019;33(4):334-348. doi: 10.1080/02699206.2018.1517190. Epub 2018 Sep 10. — View Citation
* Note: There are 20 references in all — Click here to view all references
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Normalized F3-F2 Distance, an Acoustic Measure That Correlates With Perceptual Accuracy of /r/, Measured From /r/ Sounds Produced in Treatment Sessions. | During treatment, one trial in each block of 10 was flagged for measurement and the first three formants (F1, F2, F3) were extracted from the center of the /r/ interval. The distance between the second and third formants (F3-F2) was converted to z-scores relative to normative data from age-matched children with typical speech (Lee et al., 1999). A z-score of 0 represents the mean F3-F2 distance for typical children; a z-score of 1 indicates one standard deviation of the normative sample above the sample mean. Because F3-F2 is small in perceptually accurate /r/, larger values indicate lower accuracy; z-scores above 2 are considered clinically atypical. Summary statistics report the mean and standard deviation of normalized F3-F2 distance for each treatment condition, pooled across participants and sessions. A two-tailed paired-samples t-test (superiority criterion) was used to compare mean normalized F3-F2 distance for each treatment condition across subjects. | Acoustic accuracy was measured in all ten sessions of each type of treatment, which were administered over five weeks. |
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