To use graph theory approaches and resting-state functional magnetic resonance imaging (MRI) to explore the brain functional network in patients with early stage Parkinson's disease (PD) and mild cognitive impairment (MCI). The whole-brain functional network was constructed by thresholding the Pearson correlation matrices of 90 brain regions. The results showed a less small-worldization characterized by decreased global integration and decreased local segregation in PD patients relative to healthy controls (HC). On the basis of these between-group difference in global and nodal properties, PD patients with MCI showed the lowest properties values, followed by PD patients with normal cognition and HC.
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