Causal Connectivity Analysis for Functional Near-infrared Spectroscopy(fNIRS) in Prefrontal Cortical Network Study

摘要：

Brain network modeling is m the biggest challenge in fNIRS data analysis.This paper presents a new data-driven analysis approach that applies the Granger causality(GC).This new method is applied to the analysis of fNRIS study of a high-motivationGKT(Guilty Knowledge Test.The network of prefrontal cortex(PFC),supported by temporal and causality relationships,was found.The results have confirmed the validity of the proposed method,and seem promising for the detection of cognitive causal relationships in fNRIS data.

作者: Yun Jiao Zhenyu Zhou Hongyu Yang Zongcai Ruana Hui Gong Zuhong Lu

作者单位: Key Laboratory of Child Development and Learning Science(Southeast University),Ministry of Education Key Laboratory of Child Development and Learning Science(Southeast University),Ministry of Education Key Laboratory of Biomedical Photonics of Ministry of Education,Huazhong University of Science and T

会议类型: 国际会议

会议名称: 2008亚太心智、脑和教育学术会议(Asia-Pacific Conference on Mind Brain and Education 2008)

会议地点: 南京

会议语种:英文

页码: 334-336

在线出版日期: 2008-10-25（万方平台首次上网日期，不代表论文的发表时间）