摘要：

帕金森病是临床常见的进行性神经变性病，主要由黑质致密部多巴胺能神经元变性缺失所致，目前已成为继肿瘤、心脑血管病后中老年人群的“第三杀手”。近年来多模态MRI（包括结构性和功能性MRI、扩散张量成像等）的发展和基于图论的复杂网络分析法的引入，为研究帕金森病患者脑结构和功能连接提供新的有效方法。本文对近年来基于多模态MRI和基于图论的复杂网络分析法所构建的结构性和功能性脑网络在帕金森病中的研究进展进行简要概述，以为该病的早期诊断提供新的影像学标记。

关键词: 帕金森病, 磁共振成像, 综述

Abstract:

Parkinson's disease (PD) is a common progressive neurodegenerative disease and is mainly caused by dopamine neuron degeneration in the substantia nigra pars compacta of the human brain. It has become "the third killer" after tumor and cardio-cerebrovascular disease in middle-aged and elderly people at present. In recent years, the development of multimodal MRI [including structural MRI (sMRI), functional MRI (fMRI), diffusion tension imaging (DTI), etc.] and the introduction of complex network analysis based on graph theory provide a new and effective method for researchers to explore the changes of brain structure and function in PD patients. The article mainly reviews the research progress of structural and functional brain networks in PD patients that are established based on multimodal MRI and complex network analysis based on graph theory, so as to provide new imaging markers for the early diagnosis of PD.

Key words: Parkinson disease, Magnetic resonance imaging, Review