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| ID | Type | Description | Link |
|---|---|---|---|
| R01DC017476 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| Syracuse University | OTHER |
| Montclair State University | OTHER |
| National Institute on Deafness and Other Communication Disorders (NIDCD) | NIH |
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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.
Single-Case Randomization Component: At the group level, speakers with RSE show poorer auditory and oral somatosensory acuity than typically developing (TD) speakers, but individuals differ in the extent to which each sensory domain is impacted. The objective of this aim is to evaluate how distinct sensory profiles mediate relative response to different types of biofeedback, with the goal of optimizing treatment through personalized learning. This study will test the working hypothesis that visual-acoustic biofeedback will produce larger gains in children whose deficit primarily affects the specification of the auditory target, while ultrasound biofeedback will produce larger gains in children with a primary somatosensory deficit. The main approach to testing this hypothesis is to select, from the larger population of children with RSE evaluated as part of C-RESULTS-RCT, a subset of 8 children who show asymmetric sensory profiles (strong auditory and weak somatosensory acuity, or vice versa). These children will be enrolled in a single-case experimental design where individual treatment sessions are randomly assigned to feature visual-acoustic or ultrasound biofeedback. Participants will complete 20 hrs of treatment (10 days, 2 sessions per day) over a 5 week period. Acoustic measures will be used to evaluate /r/ production accuracy within each session. Randomization tests will be used to evaluate differences in accuracy between ultrasound and visual-acoustic biofeedback treatment conditions.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Visual-acoustic biofeedback | Experimental | Visual-acoustic biofeedback treatment targeting /r/ distortions. |
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| Ultrasound biofeedback | Experimental | Ultrasound biofeedback treatment targeting /r/ distortions. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Visual-acoustic biofeedback | Behavioral | In visual-acoustic biofeedback treatment, the elements of traditional articulatory treatment (i.e., auditory models and verbal descriptions of articulator placement) are enhanced with a dynamic display of the speech signal in the form of the real-time LPC spectrum. Because correct vs incorrect productions of /r/ contrast acoustically in the frequency of the third formant (F3), participants will be cued to make their real-time LPC spectrum match a visual target characterized by a low F3 frequency. I |
| Measure | Description | Time Frame |
|---|---|---|
| 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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Inclusion Criteria:
Exclusion Criteria:
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Montclair State University | Bloomfield | New Jersey | 07003 | United States | ||
| New York University |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 30199271 | Background | 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. | |
| 30073249 | Background | 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. |
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This study used a within-subjects design. Each participant received both treatment conditions, with sessions randomly assigned to feature one condition or the other.
Institutional review board approval was obtained from the Biomedical Research Alliance of New York (BRANY, protocol number 18-10-393). Participants were recruited via clinical referrals and public notices in the vicinity of the two treatment sites: Syracuse, NY, and Montclair, NJ. Outreach was conducted using recruitment flyers, listserv announcements, and social media posts.
| ID | Title | Description |
|---|---|---|
| FG000 | Visual-acoustic Biofeedback | In visual-acoustic biofeedback treatment, the elements of traditional articulatory treatment (i.e., auditory models and verbal descriptions of articulator placement) are enhanced with a dynamic display of the speech signal in the form of the real-time LPC spectrum. Because correct vs incorrect productions of /r/ contrast acoustically in the frequency of the third formant (F3), participants will be cued to make their real-time LPC spectrum match a visual target characterized by a low F3 frequency. |
| FG001 | Ultrasound Biofeedback | In ultrasound biofeedback, the elements of traditional articulatory treatment are enhanced with a real-time ultrasound display of the shape and movements of the tongue. One or two target tongue shapes will be selected for each participant, and a trace of the selected target will be superimposed over the ultrasound screen. Participants will be cued to reshape the tongue to match this target during /r/ production. |
| Title | Milestones | Reasons Not Completed | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
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| ID | Title | Description |
|---|---|---|
| BG000 | Visual-acoustic Biofeedback and Ultrasound Biofeedback | This study used a within-subjects design. Each participant received two treatment conditions (visual-acoustic biofeedback and ultrasound biofeedback), with sessions randomly assigned to feature one condition or the other. Biofeedback--visual-acoustic and ultrasound: In visual-acoustic biofeedback treatment, the elements of traditional articulatory treatment (i.e., auditory models and verbal descriptions of articulator placement) are enhanced with a dynamic display of the speech signal in the form of the real-time LPC spectrum. Because correct vs incorrect productions of /r/ contrast acoustically in the frequency of the third formant (F3), participants will be cued to make their real-time LPC spectrum match a visual target characterized by a low F3 frequency. In ultrasound biofeedback, the elements of traditional articulatory treatment are enhanced with a real-time ultrasound display of the shape and movements of the tongue. One or two target tongue shapes will be selected for each participant, and a trace of the selected target will be superimposed over the ultrasound screen. Participants will be cued to reshape the tongue to match this target during /r/ production. |
| Units | Counts |
|---|---|
| Participants |
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| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Continuous | Mean |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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. | Note that this study used a within-subjects design. Each participant received both treatment conditions, with individual sessions randomly assigned to feature one condition or the other. Each participant completed 10 sessions of each type. | Posted | Mean | Standard Deviation | Z-score | Acoustic accuracy was measured in all ten sessions of each type of treatment, which were administered over five weeks. |
6 weeks
The definition of adverse event and serious adverse event used to collect adverse event information does not differ from that of clinicaltrials.gov.
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | Visual-acoustic Biofeedback | In visual-acoustic biofeedback treatment, the elements of traditional articulatory treatment (i.e., auditory models and verbal descriptions of articulator placement) are enhanced with a dynamic display of the speech signal in the form of the real-time LPC spectrum. Because correct vs incorrect productions of /r/ contrast acoustically in the frequency of the third formant (F3), participants will be cued to make their real-time LPC spectrum match a visual target characterized by a low F3 frequency. |
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Single-case randomization designs are limited in that gains from one treatment condition may carry over to the next.
| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Dr. Tara McAllister | New York University | 212-992-9445 | tkm214@nyu.edu |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot | Yes | No | No | Study Protocol | Feb 2, 2018 | Sep 15, 2022 | Prot_000.pdf |
| SAP | No | Yes | No | Statistical Analysis Plan | Feb 2, 2018 | Sep 15, 2022 | SAP_001.pdf |
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| ID | Term |
|---|---|
| D066229 | Speech Sound Disorder |
| D013060 | Speech |
| ID | Term |
|---|---|
| D003147 | Communication Disorders |
| D065886 | Neurodevelopmental Disorders |
| D001523 | Mental Disorders |
| D014705 | Verbal Behavior |
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In this single-case randomization design, each participant will receive an equal number of sessions of visual-acoustic and ultrasound biofeedback, with randomized allocation of treatment types to individual sessions. Treatment will last 20 hrs (10 days) over a 5 week period. Randomization will be blocked, with each day of treatment serving as a block; within each day, one hour of treatment will be randomly assigned to feature visual-acoustic and one to feature ultrasound treatment. A congruent condition and an incongruent condition will be defined for each participant based on their sensory profile, where the congruent condition is the biofeedback type that is expected to be more effective and the incongruent condition is the type expected to be less effective. Visual-acoustic biofeedback is defined as the congruent condition for individuals with a primary auditory deficit and ultrasound biofeedback is defined as congruent for individuals with a primary somatosensory deficit.
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All perceptual ratings will be obtained from blinded, naive listeners recruited through online crowdsourcing. Following protocols refined in previous published research, binary rating responses will be aggregated over at least 9 unique listeners per token.
|
| Ultrasound biofeedback | Behavioral | In ultrasound biofeedback, the elements of traditional articulatory treatment are enhanced with a real-time ultrasound display of the shape and movements of the tongue. One or two target tongue shapes will be selected for each participant, and a trace of the selected target will be superimposed over the ultrasound screen. Participants will be cued to reshape the tongue to match this target during /r/ production. |
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| New York |
| New York |
| 10012 |
| United States |
| Syracuse University | Syracuse | New York | 13244 | United States |
| 29792525 | Background | 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. |
| 29546269 | Background | 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. |
| 28117824 | Background | 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. |
| 27296780 | Background | 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. |
| 28795872 | Background | 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. |
| 28703653 | Background | 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. |
| 28389677 | Background | 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. |
| 28207800 | Background | 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. |
| 27891084 | Background | 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. |
| 25578293 | Background | 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. |
| 28834534 | Background | 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. |
| 27267258 | Background | 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. |
| 26458203 | Background | 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. |
| 25216375 | Background | 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. |
| 25088034 | Background | 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. |
| 22442281 | Background | 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. |
| 10089598 | Background | 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. |
| 34232693 | Result | Benway NR, Hitchcock ER, McAllister T, Feeny GT, Hill J, Preston JL. Comparing Biofeedback Types for Children With Residual /ɹ/ Errors in American English: A Single-Case Randomization Design. Am J Speech Lang Pathol. 2021 Jul 14;30(4):1819-1845. doi: 10.1044/2021_AJSLP-20-00216. Epub 2021 Jul 7. |
| months |
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| Sex: Female, Male | Count of Participants | Participants |
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| Ethnicity (NIH/OMB) | Count of Participants | Participants |
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| Race (NIH/OMB) | Count of Participants | Participants |
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|
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| 0 |
| 7 |
| 0 |
| 7 |
| 0 |
| 7 |
| EG001 | Ultrasound Biofeedback | In ultrasound biofeedback, the elements of traditional articulatory treatment are enhanced with a real-time ultrasound display of the shape and movements of the tongue. One or two target tongue shapes will be selected for each participant, and a trace of the selected target will be superimposed over the ultrasound screen. Participants will be cued to reshape the tongue to match this target during /r/ production. | 0 | 7 | 0 | 7 | 0 | 7 |
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| D003142 |
| Communication |
| D001519 | Behavior |