ArticleBrain sciences2023
Speech and Nonspeech Parameters in the Clinical Assessment of Dysarthria: A Dimensional Analysis.
Article in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 17 citations in OpenAlex.
- Adapting the Bogenhausen Dysarthria Scales (BoDyS) to Chilean Spanish Speakers: Face and Content Validation.Brain sciences · 2025Article
- Detection of Subclinical Motor Speech Deficits after Presumed Low-Grade Glioma Surgery.Brain sciences · 2023Article
- Oromotor Nonverbal Performance and Speech Motor Control: Theory and Review of Empirical Evidence.Brain sciences · 2023Review
- Objective assessment of dysarthric disorders in patients with multiple sclerosis depending on sex, age, and type of text read.Frontiers in neurology · 2023Article
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Authors and funding
17 authors at 8 institutions in 1 country.
Funding
Abstract
Nonspeech (or paraspeech) parameters are widely used in clinical assessment of speech impairment in persons with dysarthria (PWD). Virtually every standard clinical instrument used in dysarthria diagnostics includes nonspeech parameters, often in considerable numbers. While theoretical considerations have challenged the validity of these measures as markers of speech impairment, only a few studies have directly examined their relationship to speech parameters on a broader scale. This study was designed to investigate how nonspeech parameters commonly used in clinical dysarthria assessment relate to speech characteristics of dysarthria in individuals with movement disorders. Maximum syllable repetition rates, accuracies, and rates of isolated and repetitive nonspeech oral-facial movements and maximum phonation times were compared with auditory-perceptual and acoustic speech parameters. Overall, 23 diagnostic parameters were assessed in a sample of 130 patients with movement disorders of six etiologies. Each variable was standardized for its distribution and for age and sex effects in 130 neurotypical speakers. Exploratory Graph Analysis (EGA) and Confirmatory Factor Analysis (CFA) were used to examine the factor structure underlying the diagnostic parameters. In the first analysis, we tested the hypothesis that nonspeech parameters combine with speech parameters within diagnostic dimensions representing domain-general motor control principles. In a second analysis, we tested the more specific hypotheses that diagnostic parameters split along effector (lip vs. tongue) or functional (speed vs. accuracy) rather than task boundaries. Our findings contradict the view that nonspeech parameters currently used in dysarthria diagnostics are congruent with diagnostic measures of speech characteristics in PWD.
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