Change of Effective Connective of the ACT-R Network in the Resting State Based on Granger Causality Analysis
Abstract: 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.
文章引用: 李 川 , 周海燕 , 周 军 , 熊玉琨 , 秦裕林 , 钟 宁 (2015) 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。 心理学进展， 5， 173-179. doi: 10.12677/AP.2015.53024
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