%0 Journal Article
%T 静息态下基于格兰杰因果分析的ACT-R网络有效连接变化研究<br>Change of Effective Connective of the ACT-R Network in the Resting State Based on Granger Causality Analysis
%A 李川
%A 周海燕
%A 周军
%A 熊玉琨
%A 秦裕林
%A 钟宁
%J Advances in Psychology
%P 173-179
%@ 2160-7281
%D 2015
%I Hans Publishing
%R 10.12677/AP.2015.53024
%X <div style=\"text-align:justify;\">
	<span style=\"line-height:1.5;\">近年来，脑功能网络的组织促进了人类大脑的理解。为进一步探究人类大脑功能网络的变化，本研究主要使用有效连接方法对比任务前、后静息态fMRI数据变化。区别于以往大脑整体网络的改变，研究使用基于格兰杰因果分析(GCA)的有效连接方法针对ACT-R脑网络内部开展。结果表明：短暂认知任务前后，ACT-R网络模型内部有效连接发生较大改变；在后静息态，程序性模块(Cad)作为一个主要信息接收点接收来自其他模块的因果影响。&lt;br/&gt;Recently, the organization of functional network promotes the understanding of the human brain. To further explore the functional reorganization affected by a short-time cognitive performance in human brain, we used the method of Granger causality analysis (GCA) to compare two resting fMRI data before and after a problem solving task. Distinguished from the view of the brain network as a whole in previous studies, GCA focused on the internal organization within a brain network. The re-sults showed that taking the ACT-R network as an example, the effective connectivity within the ACT-R network significantly changed after the brief cognitive task. In the post-resting state, proce-dural module (Cad) acted as a main information receiver received influence from other modules.</span><span style=\"line-height:1.5;\"></span>
</div>
%K 格兰杰因果分析，静息态，ACT-R脑网络，有效连接<br>Granger Causality Analysis
%K Resting States
%K ACT-R Model Network
%K Effective Connectivity
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=14981