基于回归分析的脑功能连通性方法  

A Method Based on Regression Analysis for Detecting Functional Connectivity of Human Brain

作　　者：许新梅[1,2] 王惠南[2] 卢光明[1] 钟元[2] 张志强[1] 刘兆健[2] 邵小丽[2] 

机构地区：[1]南京军区南京总医院医学影像科,南京210002 [2]南京航空航天大学自动化学院生物医学工程系,南京210016

出　　处：《生物医学工程学杂志》2009年第2期273-276,共4页Journal of Biomedical Engineering

基　　金：国家自然科学基金面上项目资助(30470510)

摘　　要：提出了基于回归分析的脑功能连通性的检测方法。首先，提取静息功能磁共振成像（Functional magnetic resonance imaging，fMRI）数据中0．01-0．1Hz的频率成分；然后，定位感兴趣区域（Region of interest，ROI），计算ROI内所有体元的平均时间信号并作为回归量；最后，分析其他脑区的体元的时间信号与回归量之间的统计依赖关系，从而达到功能连通脑区检测的目的。仿真数据与临床真实fMRI数据的分析结果表明，回归分析在探测人脑功能连通性方面的有效性及可靠性。In this paper is proposed a new method for functional connectivity detection using regression analysis. First, the resting state functional magnetic resonance imaging （fMRI） data from each voxel is passed through a band- pass filter to obtain frequencies between 0.01 Hz and 0.1 Hz. Then, the region of interest （ROD is defined and the mean time course of all voxels in ROt is used as a regressor. Finally, the linear relationship between the time course of other voxels and the regressor in the resting brain is estimated. By the application of this new method in simulation data and fMRI data, the relevant validity and reliability are demonstrated.

关 键 词：功能连通 回归分析 功能磁共振 

分 类 号：R445.2[医药卫生—影像医学与核医学] R741[医药卫生—诊断学]