Identifying Subtle Motor Deficits Before Parkinson's Disease is Diagnosed: What to Look for?

Walter Maetzler*, Anat Mirelman, Andrea Pilotto, Roongroj Bhidayasiri

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

5 Scopus citations

Abstract

Motor deficits typical of Parkinson's disease (PD), such as gait and balance disturbances, tremor, reduced arm swing and finger movement, and voice and breathing changes, are believed to manifest several years prior to clinical diagnosis. Here we describe the evidence for the presence and progression of motor deficits in this pre-diagnostic phase in order to provide suggestions for the design of future observational studies for an effective, quantitatively oriented investigation. On the one hand, these future studies must detect these motor deficits in as large (potentially, population-based) cohorts as possible with high sensitivity and specificity. On the other hand, they must describe the progression of these motor deficits in the pre-diagnostic phase as accurately as possible, to support the testing of the effect of pharmacological and non-pharmacological interventions. Digital technologies and artificial intelligence can substantially accelerate this process.

Original languageEnglish
Pages (from-to)S287-S296
JournalJournal of Parkinson's Disease
Volume14
DOIs
StatePublished - 1 Oct 2024

Keywords

  • Artificial intelligence
  • digital technology
  • identification
  • motor markers
  • prodromal Parkinson's disease
  • progression

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