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Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
Multiple step pattern as a biomarker in Parkinson disease.
Tanya Blekher1, Marjorie Weaver, Jason Rupp
1Department of Ophthalmology, Indiana University School of Medicine, 702 Rotary Circle, Indianapolis, IN 46202-5251, USA. tblekher@iupui.edu
Parkinsonism & Related Disorders
|February 13, 2009
Summary
Quantitative eye movement measures, specifically multiple step patterns (MSP) and saccade gain, show promise as biomarkers for early Parkinson disease (PD) and identifying at-risk individuals.
Area of Science:
- Neuroscience
- Ophthalmology
- Genetics
Background:
- Parkinson disease (PD) diagnosis relies on clinical assessment, often detecting symptoms late.
- Biomarkers for early detection in PD patients and at-risk populations are crucial.
Purpose of the Study:
- To assess quantitative saccade measures as potential biomarkers for early Parkinson disease (PD).
- To evaluate these measures in individuals at risk for PD.
Main Methods:
- A study included 68 participants: PD patients, unaffected siblings, and controls.
- Eye tracking recorded saccade measures (latency, velocity, gain, error rate, multiple step pattern) during visually guided, anti-saccadic, and memory-guided tasks.
- Genotyping for LRRK2 G2019S mutation was performed in PD patients and siblings.
Main Results:
- PD patients and some siblings showed increased multiple step patterns (MSP) and reduced saccade gain compared to controls.
- MSP demonstrated high sensitivity (87%) and specificity (96%) in distinguishing PD patients.
- Abnormalities were more pronounced in a challenging memory-guided saccade task.
Conclusions:
- Abnormalities in saccadic eye movements are sensitive and specific indicators in PD patients and at-risk individuals.
- Quantitative saccade testing may enhance the neurological exam for identifying individuals at higher risk for PD.
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