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Abnormal Dynamic Functional Connectivity Associated With Subcortical Networks in Parkinson's Disease: A Temporal
Hong Zhu1, Juan Huang2, Lifu Deng3
1Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Frontiers in Neuroscience
|March 7, 2019
Summary
Parkinson's disease patients exhibit altered dynamic brain network connectivity. Temporal variability in functional brain networks is greater in PD patients and linked to symptom severity, offering new insights into neurodegeneration.
Area of Science:
- Neuroscience
- Medical Imaging
- Systems Biology
Background:
- Parkinson's disease (PD) involves neurodegeneration and functional brain network dysfunction.
- Static functional connectivity changes in PD are known, but dynamic network characteristics remain unclear.
Purpose of the Study:
- To quantify dynamic functional connectivity characteristics in Parkinson's disease.
- Investigate temporal variability at nodal, intra-subnetwork, and inter-subnetwork levels.
Main Methods:
- Resting-state functional MRI (fMRI) data from 42 PD patients and 40 normal controls (NCs).
- Analysis of temporal variability in functional connectivity profiles using sliding windows.
Main Results:
- PD patients showed greater nodal variability in sensorimotor, visual, subcortical, and cerebellar regions.
- Increased intra-network variability observed in subcortical, salience, and visual networks in PD.
- PD patients exhibited altered inter-network variability, particularly involving the subcortical network and its connections with other networks.
Conclusions:
- Temporal variability effectively detects distributed abnormalities in dynamic functional brain networks in Parkinson's disease.
- Findings at nodal and subnetwork levels provide new insights into the neurobiological underpinnings of PD.
- Dynamic functional connectivity alterations correlate with clinical symptom severity in PD patients.