CAJ | 학술논문

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。该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。
근기연구성과표명：대뇌재무특정임무상태하，각공능구지간의연회유부분공능련접병유차구성망락。차련접조망적방식、강도등가능대뇌공능인지연구비상유방조。정인위차，근년래，일대비연구인원투신기중，취득료흔다흔출색적성과。해문종신식분석적각도，총결료근년래뇌망락연구과정중전형산법적모형구건원리、우점급불족，최후대뇌망락적응용범위진행료간단적천술。
Recent research results show that many functional areas of our brain are connected to become a network 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, the auther survey the typical methods of constructing rsfMRI brain network from the point of view of information analysis.The auther survey the major meth-ods’basic principle, advantages and disadvantages. At the same time, this paper also introduce the range of applications of brain network.