CAJ | 학술논문

脑是如何选择和调整分布于全脑的神经活动以实现其功能的?为解决这个问题,近年来人们将推测变量间信息因果流向的Granger因果分析引入脑功能研究.首先介绍了Granger因果分析的基本原理及其在处理脑功能信号时的拓展算法——结构向量自回归模型(SVAR)；综述了在对脑功能信号进行Granger因果分析时的技术问题；最后,以特发性全身性癫痫的脑功能信号为例,介绍了Granger因果分析在致痫灶定位中的应用前景.
뇌시여하선택화조정분포우전뇌적신경활동이실현기공능적?위해결저개문제,근년래인문장추측변량간신식인과류향적Granger인과분석인입뇌공능연구.수선개소료Granger인과분석적기본원리급기재처리뇌공능신호시적탁전산법——결구향량자회귀모형(SVAR)；종술료재대뇌공능신호진행Granger인과분석시적기술문제；최후,이특발성전신성전간적뇌공능신호위례,개소료Granger인과분석재치간조정위중적응용전경.
How does brain select and adjust the distributed neural activities to achieve its function? To address this problem,researchers introduce Granger causality analysis method to brain functional study,which deals with the estimation of causal influences among multi-variables.First,basic principles of Granger Causality and its improved algorithm structural vector autoregression (SVAR) are introduced.Then several technical problems are reviewed which should be noted when analyzing brain functional signals by Granger Causality Methods.In the end,the application foreground of Granger Causality in epilepsy localization is introduced by taking idiopathic generalized epilepsy as the example.