ICA Analysis for Decision-Making Task on fMRI
Brain functional activation of decision-making on fMRI experiment is seldom analyzed by data driven method to reveal the distinct brain functional network of decision-making. In this paper, a spatial independent component analysis (sICA) is presented to detect the functional network underlying decisionmaking by analyzing the unmixing matrices temporal components corresponding to spatial separated pattern. Our results show that ICA could separate various sub-functional activation networks to understand the neural mechanisms underlying decisionmaking, which mainly include functional network of conflict detection, cognitive and emotion.
fMRI Decision-making Iterated Prisoners Dilemma game sICA
Xujun Duan Huafu Chen Zhengyong Pan Wei Liao Danhui Wang Jurong Ding
Key Laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
国际会议
The Second International Conference on Cognitive Neurodynamics--2009(第二届国际认知神经动力学会议)
杭州
英文
387-392
2009-11-15（万方平台首次上网日期，不代表论文的发表时间）