To use graph theory approaches and high resolution T1-weighted structural magnetic resonance imaging to explore the brain grey matter morphological network in patients with Parkinson's disease (PD). The individual morphological brain networks were constructed by estimating interregional similarity in the distribution of regional grey matter volume of 90 brain regions. The higher clustering coefficient and local efficiency in the PD patients relative to healthy controls were found, indicating that brain morphological networks are closer to regularization, which was different from previous functional connectome studies, suggesting relatively fixed structural network organization can produce diverse functional network patterns.
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