基于功能核磁成像的静息态功能脑网络研究综述.doc


基于功能核磁成像的静息态功能脑网络研
究综述#
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(1. 同济大学教育部嵌入式与服务计算重点实验室,上海 201804;)
摘要:近期研究成果表明:大脑在无特定任务状态下,各功能区之间依然会有部分功能连接
并由此构成网络。且连接组网的方式、强度等可能对脑功能认知研究非常有帮助。正因为此,
近年来,一大批研究人员投身其中,取得了很多很出色的成果。本文从信息分析的角度,总
结了近年来脑网络研究过程中典型算法的模型构建原理、优点及不足,最后对脑网络的应用
范围进行了简单的阐述。
关键词:静息态;功能核磁共振成像;脑网络;主分量分析;独立分量分析
中图分类号:TP399
Research progress on Resting-state Brain Functional
Network Based on functional MRI
WEI Mengran1 , LUO Cong1, LIU Bin1, HE Lianghua1
(1. Key Laboratory of Embedded System and puting Ministry of Education,Tongji
University,Shanghai 201804;
Abstract: Recent research results show that many functional areas of our brain are connected to
e work in resting-state. The connection way , strength etc. may be very helpful on
studying brain cognitive function. For this reason, in recent years, a large number of researchers do
such area research and achieved many results. In this paper, we survey the typical methods of
constructing rsfMRI work from the point of view of information analysis. We survey the
major methods’ basic principle, advantages and disadvantages. At the same time, we also introduce the
range of applications of work.
Key words: Resting-state; functional MRI; work; ponent analysis; independent
component analysis
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0 引言
大脑作为人体的重要组成器官,其复杂的结构和功能都是学者们研究的重点,神经元之
间或神经元集群之间的拓扑结构构成了复杂脑网络,这个复杂的网络决定了整个大脑如何运
转。随着 EEG、EMG 等影像技术的发展,脑网络的研究手段