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A Fine-Grained Temporal Analysis of Multimodal Oral Diadochokinetic Performance to Assess Speech Impairment in Amyotrophic Lateral Sclerosis.

Panying RongLily Rasmussen
Published in: American journal of speech-language pathology (2023)
Temporal oral DDK deficits are likely attributed to a hierarchy of interrelated neurophysiological and biomechanical factors associated with the neuromotor pathology of ALS. These deficits, as assessed crossmodally, provide previously unavailable insights into the multifaceted timing impairment of oromotor performance in ALS. The optimal task-feature combinations targeting these deficits show promise as quantitative markers for (early) detection of speech impairment in ALS.
Keyphrases
  • traumatic brain injury
  • amyotrophic lateral sclerosis
  • machine learning
  • molecular dynamics
  • deep learning
  • pain management
  • artificial intelligence
  • chronic pain