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Updated: May 22, 2026
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Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
Dynamic Functional Connectivity Changes in Parkinson's Disease With and Without Depression
Yiran Lin1,2, Yuqing Tang1,2,3, Changlian Tan1,2
1Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, China.
The European Journal of Neuroscience
|May 21, 2026
Summary
Parkinson's disease depression involves altered brain network dynamics. Dynamic functional connectivity analysis revealed distinct network states, with sparse connectivity correlating with depression severity in Parkinson's patients.
Area of Science:
- Neuroscience
- Radiology
- Psychiatry
Background:
- Depression is a frequent non-motor symptom in Parkinson's disease (PD).
- Previous resting-state functional magnetic resonance imaging (rs-fMRI) studies in PD with depression (dPD) have not fully explored dynamic brain network characteristics.
- Understanding these dynamics is crucial for elucidating the neuroimaging mechanisms of dPD.
Purpose of the Study:
- To investigate dynamic functional connectivity (DFC) patterns in individuals with Parkinson's disease and depression (dPD).
- To compare DFC states between dPD, non-depressed PD (ndPD), and healthy controls (HC).
- To explore the relationship between DFC states and depression severity.
Main Methods:
- Collected rs-fMRI data from 50 dPD, 82 ndPD, and 50 HC subjects.
- Utilized independent component analysis, sliding time windows, and k-means clustering to identify DFC states.
- Performed intergroup comparisons and clinical correlation analyses with HAMD-17 scores.
Main Results:
- Identified four recurrent DFC states.
- Observed progressive changes in fractional window and dwell time for State II (increasing) and State III (decreasing) across dPD, ndPD, and HC groups.
- State II showed strong positive connectivity, while State III exhibited mixed positive and negative connections between networks (ECN, SN/DMN, SMN/SMA).
- The occurrence frequency and dwell time of State II negatively correlated with HAMD-17 scores.
Conclusions:
- Patients with dPD exhibit a higher proportion of a sparse connectivity state (State II).
- Abnormal network connectivity changes across identified DFC states are present in dPD.
- These findings offer novel insights into the neuroimaging mechanisms underlying depression in Parkinson's disease.
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