Cognitive Determinants of Dysarthria in Parkinson's Disease: An Automated Machine Learning Approach
Cognitive Determinants of Dysarthria in Parkinson's Disease: An Automated Machine Learning Approach
Adolfo M. García,T. Arias-Vergara,6 Authors,J. Orozco-Arroyave
TLDR
The interplay of subject‐level and task‐related cognitive factors during motor speech remains underexplored, let alone by administering validated materials to carefully matched samples with varying cognitive profiles and combining automated tools with machine learning methods.
Abstract
Dysarthric symptoms in Parkinson's disease (PD) vary greatly across cohorts. Abundant research suggests that such heterogeneity could reflect subject‐level and task‐related cognitive factors. However, the interplay of these variables during motor speech remains underexplored, let alone by administering validated materials to carefully matched samples with varying cognitive profiles and combining automated tools with machine learning methods.