Keywords: Parkinson's Disease, Parkinson's Disease
Motivation: Metabolic disturbances are key features of Parkinson’s disease (PD), captured noninvasively by arterial spin labeling (ASL). Specific patterns of metabolic disconnections remain scarcely documented.
Goal(s): Validate the feasibility of constructing metabolic similarity networks (MSNs) using ASL and Jensen-Shannon divergence similarity estimation (JSSE), and characterize MSN impairments in PD.
Approach: 48 PD patients and 50 healthy controls underwent multi-delay ASL (m-ASL) imaging. Perfusion metrics were used to construct MSNs via JSSE, followed by topological analysis and SVM classification.
Results: MSNs showed complex connectomes with small-world properties in PD, with impaired network topology and modularity. m-ASL improved CBF diagnostic efficiency via ATT correction.
Impact: Our study revealed complex metabolic disconnections underlying the neurodegenerative process in PD, highlighting the clinical implications of multi-delay ASL for comprehensive investigations of metabolic patterns of disconnection syndromes.
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