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Cell Biology JoVE (Open Access) Citable · DOI

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

DOI: 10.3791/59827-v
What you'll learn
  • ✓ Digitize traditional clinical motor and cognitive assessments for Parkinson's disease
  • ✓ Co-register biophysical signals across multiple nervous system levels during tasks
  • ✓ Extract and analyze dynamic digital biomarkers from clinical protocols
  • ✓ Interpret representative biomarker analyses for neurological function assessment
Protocol

This protocol offers a digitization of portions of traditional clinical tasks commonly used to measure cognition and motor control in Parkinson’s disease. Clinical tasks are digitized while biophysical rhythms are co-registered from different functional levels of the nervous systems, ranging from voluntary, spontaneous, automatic to autonomic.

Difficulty
advanced
Total time
~1–2 hours per participant (including setup, task execution, and signal acquisition)

Steps

1
Prepare participant and configure acquisition system

Position participant and attach biophysical sensors across functional levels of the nervous system. Configure digital recording hardware and software for synchronized multi-modal data capture.

▶ 01:29
2
Execute digitized clinical cognitive and motor tasks

Guide participant through digitized versions of traditional clinical assessments while co-registering voluntary, spontaneous, automatic, and autonomic biophysical rhythms. Record data across all functional levels simultaneously.

▶ 04:29
3
Analyze dynamic digital biomarker outputs and patterns

Process acquired data to extract and visualize dynamic biomarkers from motor and cognitive task performance. Generate representative analyses demonstrating biomarker relationships to Parkinson's disease progression.

▶ 07:47
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