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Updated: May 10, 2026

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
Changes in spontaneous brain activity in early Parkinson's disease
Hong Yang1, Xiaohong Joe Zhou, Min-Ming Zhang
1Department of Radiology, First Affiliated Hospital of College of Medical Science, Zhejiang University, Hangzhou, China. yanghongyh_2002@163.com
Resting-state functional MRI reveals abnormal brain activity in early Parkinson's disease (PD) patients. Regional homogeneity (ReHo) analysis showed altered spontaneous neuronal activity, potentially aiding in monitoring PD progression.
Area of Science:
- Neuroscience
- Radiology
- Neurology
Background:
- Resting-state brain activity offers insights into Parkinson's disease (PD) pathophysiology.
- Understanding early-stage PD brain changes is crucial for monitoring disease progression.
Purpose of the Study:
- To investigate abnormal spontaneous neuronal activity in early PD using resting-state functional MRI (fMRI) and regional homogeneity (ReHo).
- To assess the potential of ReHo changes for monitoring early PD progression.
Main Methods:
- Seventeen early PD patients and 17 healthy controls underwent resting-state fMRI scans.
- Regional homogeneity (ReHo) analysis was performed using in-house software (REST) within SPM5.
- Statistical analysis used a corrected threshold of p<0.05, determined by AlphaSim.
Main Results:
- Early PD patients exhibited significantly increased ReHo in regions like the left cerebellum, left parietal lobe, and right sub-thalamic nucleus.
- Reduced ReHo was observed in the left putamen, left inferior frontal gyrus, and bilateral lingual gyrus of early PD patients.
- A negative correlation was found between ReHo in the left putamen and UPDRS scores in PD patients (r=-0.69).
Conclusions:
- Resting-state fMRI with ReHo analysis effectively reveals abnormal spontaneous brain activity in early PD.
- Altered ReHo patterns in specific brain regions are indicative of early-stage Parkinson's disease.
- ReHo analysis shows promise as a tool for monitoring PD progression in its early stages.
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