基于多模态MRI精神分裂症脑复杂网络研究进展

Research progresses of brain complex network in schizophrenia based on multimodal MRI

精神分裂症(SZ)为慢性精神疾病,常伴感知、思维、情感、行为等多方面障碍。MRI可用于观察SZ患者脑结构及功能异常,为识别精神障碍生物标记物提供重要支持。多项研究基于多模态MRI构建脑结构及功能网络,采用人脑连接组学分析方法,发现SZ脑复杂网络异常,如最短路径长度增大、聚类系数及网络效率下降、核心节点受损等,进一步支持SZ失连接假说。本文针对SZ脑结构及功能网络、多模态网络等最新研究进行综述,探讨SZ脑复杂网络拓扑结构及属性特异性的特点,讨论现有研究方法存在的问题以及未来发展方向。

Schizophrenia(SZ)is a group of chronic mental disorders,which is often accompanied by perception,thinking,emotion,behavior and other impairments.MRI techniques can be used to investigate brain structural and functional alterations in SZ,so as to provide significant support for the recognition of biomarkers for mental disorders.Structural and functional brain networks in SZ constructed with multimodal MRI have been analyzed by the human brain connectome using graph theory in numerous studies,which highlighted the abnormality of brain complex networks,such as increased shortest path length,decreased clustering coefficient and global efficiency,as well as deficits of global hub,providing further support for the hypothesis of dysconnection in SZ.The recent advancements of structural networks,functional networks and multimodal networks were reviewed,and the characteristics of brain complex networks in SZ were explored,the existing problems of analysis methods and future direction were discussed in this paper.