Author:
Chen Zhichun,Li Guanglu,Zhou Liche,Zhang Lina,Liu Jun
Abstract
AbstractBackgroundAutonomic dysfunction is one of the most common non-motor symptoms in Parkinson’s disease (PD). Whether autonomic dysfunction contributes to disease progression and brain network abnormalities in PD remain largely unknown. The objective of this study is to evaluate how autonomic dysfunction affects clinical features and brain networks of PD patients.MethodsPD patients from Parkinson’s Progression Markers Initiative (PPMI) database were included if they received magnetic resonance imaging. According to the scores of Scale for Outcomes in Parkinson’s Disease-Autonomic (SCOPA-AUT), PD patients were classified into lower quartile group (SCOPA-AUT score rank: 0%~25%), interquartile group (SCOPA-AUT score rank: 26%~75%), and upper quartile group (SCOPA-AUT score rank: 76%~100%) based on their SCOPA-AUT score quartiles to examine how autonomic dysfunction shapes clinical manifestations and brain networks.ResultsPD patients in the upper quartile group showed more severe motor and non-motor symptoms, as well as more deficits in dopamine transporter binding compared to lower quartile group. Additionally, they also showed statistically different topological properties in structural and functional network compared to lower quartile group. Both structural and functional network metrics mediated the effects of autonomic dysfunction on clinical symptoms of PD patients. Reduced dopamine transporter binding also contributed to the effects of autonomic dysfunction on disease burden of PD patients.ConclusionsPD patients with more severe autonomic dysfunction exhibit worse disease and impairment of brain network topology. Both network topology and striatal dopamine depletion mediate the effects of autonomic dysfunction on clinical symptoms of PD patients.
Publisher
Cold Spring Harbor Laboratory
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献