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Updated: Jan 15, 2026

Induction and Assessment of Levodopa-induced Dyskinesias in a Rat Model of Parkinson's Disease
Published on: October 14, 2021
Effects of levodopa on motor and cerebellar network connectivity in Parkinson's disease
Li-Chuan Huang1,2, Li-Guo Chen1, Sheng-Huang Lin3,4
1Department of Medical Imaging, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan.
Background:
Levodopa is the most effective treatment for motor symptoms in Parkinson's disease (PD), but its therapeutic mechanisms and effects on resting-state functional connectivity (FC) remain incompletely understood. This study aims to investigate the acute impact of levodopa on FC within motor-related networks in PD.
Methods:
Twenty-seven patients with PD underwent resting-state functional magnetic resonance imaging on 2 consecutive days under OFF and ON dopaminergic therapy conditions. Ten age-matched healthy controls were included for comparison. FC analyses targeted 57 regions of interest (ROIs) across the basal ganglia, motor cortex, and cerebellum, assessed using ROI-to-ROI connectivity and graph theory.
Results:
Levodopa altered FC in motor circuits, with six connections increasing and seven decreasing. Key changes involved enhanced FC between the right globus pallidus externa and left pre-supplementary motor area, and reduced FC between the right cerebellum 10 and bilateral primary motor cortex. These changes were correlated with improvements in UPDRS-III scores. Graph metrics revealed increased clustering in the right cerebellar Crus I and reduced global efficiency in the left primary motor cortex.
Conclusions:
Levodopa modulates FC in motor-related networks in PD, enhancing cerebellar and PPN connectivity while reducing cortical coupling. These changes, reflected in graph-theoretical metrics, suggest a shift from global integration toward a more modular and locally segregated organization. This reconfiguration may underlie levodopa's therapeutic effects on motor symptoms.
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