← Back to contracts

Auditory-perceptual motor speech features in preschoolers: Norms and utility in differentiating childhood apraxia of speech and dysarthria

US · IL NIH grant awarded #nih-1R01DC022267-01A1

Summary

This project aims to develop and validate a clinically feasible, norm-referenced assessment protocol to identify and differentially diagnose childhood apraxia of speech (CAS) and dysarthria in 3-6-year-old children.

What they want

The long-term goal of this work is to develop and validate a clinically feasible, norm-referenced assessment protocol to identify children with speech features that are atypical for their age and facilitate early and accurate differential diagnosis of CAS and dysarthria. The proposed project represents the first step towards this goal, using a rigorous approach to quantifying auditory-perceptual features of motor speech disorders in children and systematically considering the overlapping and unique features of CAS and dysarthria in the context of typical development. Aim 1 will use a cross-sectional design to establish growth curves for development of auditory-perceptual speech features associated with motor speech disorders in 3-6-year-old children with typical development. Aim 2 will use a random forest approach to identify speech features that best classify children with motor speech disorders into clinically validated groups (i.e., CAS and dysarthria), adjusting for age. Aim 3 will use exploratory factor analyses to identify data-driven clusters of motor speech features (latent classes) that will be compared to feature profiles of the clinically validated diagnostic groups.
Deliverables
  • Normative framework for identifying atypical motor speech function in young children
  • Objectively determined sets of speech features with high diagnostic utility for identifying and differentiating children with CAS and dysarthria
  • Scientific foundation for development of a validated assessment tool for motor speech diagnosis
Technical requirements
  • Cross-sectional design
  • Random forest approach
  • Exploratory factor analyses
Auditory-perceptual motor speech features …
Onboard