Kernel Granger Causality Mapping Effective Connectivity: A Resting fMRI Study

摘要：

The human brain is a complex, dynamic, nonlinear system and operates far from equilibrium. The functionally connected of human brain being potentially dynamic and directional, may not be adequately captured by simple correlation, or anticorrelation. To evaluate the possible effective connectivity as well as the nonlinear effective connectivity within human brain, we applied kernel Granger causality (KGC) to the 90 cortical and subcortical regions of interest (ROIs) of resting state fMRI data. Our analysis also found the hub node that was characterized by much number of Granger causal efferent connections to this given node from any other node at different level of nonlinearity. Overall, our results revealed the causal influences and hubs among these ROI at different order of nonlinearity.

关键词： Keywords Kernel Granger causality Resting state Effective connectivity

作者: Wei Liao Daniele Marinazzo Zhengyong Pan Huafu Chen

作者单位: 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

会议类型: 国际会议

会议名称: The Second International Conference on Cognitive Neurodynamics--2009(第二届国际认知神经动力学会议)

会议地点: 杭州

会议语种:英文

页码: 375-380

在线出版日期: 2009-11-15（万方平台首次上网日期，不代表论文的发表时间）