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Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
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Voice in Parkinson's Disease: A Machine Learning Study.

Antonio Suppa1,2, Giovanni Costantini3, Francesco Asci2

  • 1Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy.

Frontiers in Neurology
|March 4, 2022
PubMed
Summary
This summary is machine-generated.

Machine learning accurately detects voice changes in Parkinson's disease (PD), even in early stages. While L-Dopa therapy can improve voice, it does not fully restore it, highlighting machine learning's potential for PD monitoring.

Keywords:
L-DopaParkinson's diseasehypokinetic dysarthriamachine learningvoice analysis

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Area of Science:

  • Neurology
  • Speech-Language Pathology
  • Biomedical Engineering

Background:

  • Parkinson's disease (PD) is associated with hypokinetic dysarthria, a group of voice disorders.
  • Investigating voice changes in PD patients across different disease stages and therapeutic states is crucial.

Purpose of the Study:

  • To utilize machine learning algorithms to analyze voice changes in a large cohort of Parkinson's disease patients.
  • To assess the disease progression and the impact of L-Dopa therapy on voice parameters.

Main Methods:

  • Analysis of voice samples from 115 Parkinson's disease patients (early and mid-advanced stages) and 108 healthy controls.
  • Application of machine learning (support vector machine classifier) for voice analysis and diagnostic accuracy assessment.
  • Clinical evaluation using Unified Parkinson's Disease Rating Scale and Voice Handicap Index, alongside calculation of clinical-instrumental correlations.

Main Results:

  • High accuracy in discriminating between healthy subjects and PD patients across all stages, indicating early voice abnormalities.
  • L-Dopa therapy demonstrates improvement in voice but does not fully restore vocal function in PD patients.
  • Significant clinical-instrumental correlations were achieved using a novel machine learning-derived score (LR value).

Conclusions:

  • Voice impairment is present in early-stage PD and worsens with disease progression.
  • L-Dopa therapy offers partial voice improvement in Parkinson's disease patients.
  • Machine learning serves as a highly accurate tool for tracking PD severity and quantifying treatment effects on voice, potentially as a new biomarker.