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Abstract #4552

More insights into disruption and decoupling of individually metabolic connectomes in Parkinson’s disease

Song'an Shang1, Jie Shi2, and Jing Ye1
1Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China, 2GE Healthcare, MR Research China, Beijing, China

Synopsis

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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