» Articles » PMID: 34735295

Validation of an Acoustic-Based Framework of Speech Motor Control: Assessing Criterion and Construct Validity Using Kinematic and Perceptual Measures

Overview
Date 2021 Nov 4
PMID 34735295
Citations 7
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: This study investigated the criterion (analytical and clinical) and construct (divergent) validity of a novel, acoustic-based framework composed of five key components of motor control: Coordination, Consistency, Speed, Precision, and Rate.

Method: Acoustic and kinematic analyses were performed on audio recordings from 22 subjects with amyotrophic lateral sclerosis during a sequential motion rate task. Perceptual analyses were completed by two licensed speech-language pathologists, who rated each subject's speech on the five framework components and their overall severity. Analytical and clinical validity were assessed by comparing performance on the acoustic features to their kinematic correlates and to clinician ratings of the five components, respectively. Divergent validity of the acoustic-based framework was then assessed by comparing performance on each pair of acoustic features to determine whether the features represent distinct articulatory constructs. Bivariate correlations and partial correlations with severity as a covariate were conducted for each comparison.

Results: Results revealed moderate-to-strong analytical validity for every acoustic feature, both with and without controlling for severity, and moderate-to-strong clinical validity for all acoustic features except Coordination, without controlling for severity. When severity was included as a covariate, the strong associations for Speed and Precision became weak. Divergent validity was supported by weak-to-moderate pairwise associations between all acoustic features except Speed (second-formant [F2] slope of consonant transition) and Precision (between-consonant variability in F2 slope).

Conclusions: This study demonstrated that the acoustic-based framework has potential as an objective, valid, and clinically useful tool for profiling articulatory deficits in individuals with speech motor disorders. The findings also suggest that compared to clinician ratings, instrumental measures are more sensitive to subtle differences in articulatory function. With further research, this framework could provide more accurate and reliable characterizations of articulatory impairment, which may eventually increase clinical confidence in the diagnosis and treatment of patients with different articulatory phenotypes.

Citing Articles

Oral diadochokinetic markers of X-linked dystonia-parkinsonism.

Kao T, Rowe H, Green J, Stipancic K, Sharma N, de Guzman J Parkinsonism Relat Disord. 2024; 120:105991.

PMID: 38184995 PMC: 10922526. DOI: 10.1016/j.parkreldis.2024.105991.


Improving Perceptual Speech Ratings: The Effects of Auditory Training on Judgments of Dysarthric Speech.

Stipancic K, Golzy M, Zhao Y, Pinkerton L, Rohl A, Kuruvilla-Dugdale M J Speech Lang Hear Res. 2023; 66(11):4236-4258.

PMID: 37774738 PMC: 10715846. DOI: 10.1044/2023_JSLHR-23-00322.


Oromotor Nonverbal Performance and Speech Motor Control: Theory and Review of Empirical Evidence.

Weismer G Brain Sci. 2023; 13(5).

PMID: 37239240 PMC: 10216469. DOI: 10.3390/brainsci13050768.


Oromotor skills in autism spectrum disorder: A scoping review.

Maffei M, Chenausky K, Gill S, Tager-Flusberg H, Green J Autism Res. 2023; 16(5):879-917.

PMID: 37010327 PMC: 10365059. DOI: 10.1002/aur.2923.


Acoustic and Kinematic Assessment of Motor Speech Impairment in Patients With Suspected Four-Repeat Tauopathies.

Cordella C, Gutz S, Eshghi M, Stipancic K, Schliep M, Dickerson B J Speech Lang Hear Res. 2022; 65(11):4112-4132.

PMID: 36306508 PMC: 9940887. DOI: 10.1044/2022_JSLHR-22-00177.


References
1.
Feenaughty L, Tjaden K, Sussman J . Relationship between acoustic measures and judgments of intelligibility in Parkinson's disease: a within-speaker approach. Clin Linguist Phon. 2014; 28(11):857-78. PMC: 5558195. DOI: 10.3109/02699206.2014.921839. View

2.
Fletcher S . Time-by-count measurement of diadochokinetic syllable rate. J Speech Hear Res. 1972; 15(4):763-70. DOI: 10.1044/jshr.1504.763. View

3.
Rong P, Yunusova Y, Wang J, Green J . Predicting Early Bulbar Decline in Amyotrophic Lateral Sclerosis: A Speech Subsystem Approach. Behav Neurol. 2015; 2015:183027. PMC: 4468279. DOI: 10.1155/2015/183027. View

4.
Gracco V, Abbs J . Variant and invariant characteristics of speech movements. Exp Brain Res. 1986; 65(1):156-66. DOI: 10.1007/BF00243838. View

5.
Hlavnicka J, Cmejla R, Tykalova T, Sonka K, Ruzicka E, Rusz J . Automated analysis of connected speech reveals early biomarkers of Parkinson's disease in patients with rapid eye movement sleep behaviour disorder. Sci Rep. 2017; 7(1):12. PMC: 5428345. DOI: 10.1038/s41598-017-00047-5. View