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Updated: Dec 28, 2025

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
Neuroimaging and neurophysiological evaluation of severity of Parkinson's disease
Tomoyoshi Kuribara1, Rei Enatsu1, Mayumi Kitagawa2
1Department of Neurosurgery, Sapporo Medical University, Japan.
Objectives:
Parkinson's disease (PD) is a neurodegenerative disease presenting characteristic motor features. Severity is usually assessed by clinical symptoms; however, few objective indicators are available. In this study, we evaluated the utility of dopamine transporter (DAT) imaging and subthalamic nucleus (STN) activities as indicators of PD severity.
Materials And Methods:
Twelve hemispheres of ten patients with PD who underwent deep brain stimulation (DBS) were included in this study. Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part 3 scores were used to evaluate clinical severity. The relationship between specific binding ratio (SBR) of DAT imaging and the root mean square (RMS) of STN micro-electrode recording (MER) was evaluated.
Results:
A negative correlation was detected between the MDS-UPDRS part 3 scores and SBR (N = 20, R2 = 0.418; P = 0.002). With respect to subscores, rigidity (R2 = 0.582; P < 0.001) and bradykinesia (R2 = 0.378; P = 0.004) showed negative correlation with SBR, whereas tremor showed no correlation (R2 = 0.054; P = 0.324) (N = 20). On the other hand, no correlation was found between MER and the MDS-UPDRS part 3 scores in ten hemispheres of six patients.
Conclusion:
DAT findings may be useful in evaluating PD severity, especially rigidity and bradykinesia.
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