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Related Concept Videos

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Related Experiment Video

Updated: Mar 10, 2026

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
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Subtle motor disturbances in PREDICT-PD participants.

Alastair J Noyce1,2, Anette Schrag3, Joseph M Masters2

  • 1Department of Molecular Neuroscience, Reta Lila Weston Institute, UCL Institute of Neurology, London, UK.

Journal of Neurology, Neurosurgery, and Psychiatry
|December 18, 2016
PubMed
Summary

The PREDICT-PD study found that individuals with higher predicted Parkinson's disease (PD) risk scores showed more mild parkinsonian signs. This algorithm helps identify those at increased risk for motor disturbances.

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Area of Science:

  • Neurology
  • Neuroscience
  • Epidemiology

Background:

  • Parkinson's disease (PD) diagnosis often occurs after significant neurodegeneration.
  • Early identification of PD risk is crucial for potential interventions.
  • The PREDICT-PD study utilizes online assessments to predict PD risk.

Purpose of the Study:

  • To determine if higher predicted risk for Parkinson's disease correlates with the presence of mild parkinsonian signs.
  • To validate the PREDICT-PD scoring algorithm's ability to identify individuals with subclinical motor deficits.

Main Methods:

  • 208 participants completed an online risk assessment for PD.
  • Video recordings of neurological examinations were scored by movement disorder experts using the MDS-UPDRS part III.
  • Comparison of Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part III scores between high-risk and low-risk groups.

Main Results:

  • Higher risk participants exhibited significantly higher MDS-UPDRS part III scores compared to lower risk participants (p<0.001).
  • A greater proportion of high-risk individuals were classified as having subclinical parkinsonism (18% vs 6%, p=0.027).
  • A continuous, positive association was found between PD risk estimates and MDS-UPDRS part III scores, even after adjusting for confounding factors.

Conclusions:

  • The PREDICT-PD algorithm effectively identifies individuals with an increased likelihood of motor disturbances.
  • This tool has the potential to aid in the early detection of Parkinson's disease.
  • Online risk assessment combined with clinical scoring can identify subclinical parkinsonism.