A New General Linear Convolution Model for fMRI Data Process

作     者：袁宏 陈华富 尧德中 

作者机构：School of Life Science and Technology UESTC Chengdu 610054 China School of Life Science and Technology UESTC Chengdu 610054 China School of Applied Mathematics UESTC Chengdu 610054 China 

出 版 物：《Journal of Electronic Science and Technology of China》 (中国电子科技（英文版）)

年 卷 期：2005年第3卷第1期

页      面：68-71页

学科分类：0711[理学-系统科学] 07[理学] 08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 

基　　金：Supported by National Natural Science Foundation of China (No.90208003  30200059)  the 973 Project (No. 2003CB716106)  Doctor training Fund of MOE  P.R.C.  and Fok Ying Tong Education Foundation (No.91041) 

主　　题：fMRI general linear model t-test hemodynamic response function 

摘      要：General linear model (GLM) is the most popular method for functional magnetic resource imaging (fMRI) data analysis . However, its theory is imperfect. The key of this model is how to constitute the design-matrix to model the interesting effects better and separate noises better. For the purpose of detecting brain function activation , according to the principle of GLM,a new convolution model is presented by a new dynamic function convolving with design-matrix,which combining with t-test can be used to detect brain active signal. The fMRI imaging result of visual stimulus experiment indicates that brain activities mainly concentrate among v1and v2 areas of visual cortex, and also verified the validity of this technique.