功能磁共振成像（fMRI）统计软件包及用于分析包含随机运动和刺激相关运动的图像的策略比较。
Comparison of fMRI statistical software packages and strategies for analysis of images containing random and stimulus-correlated motion.
作者信息
Morgan Victoria L, Dawant Benoit M, Li Yong, Pickens David R
机构信息
Vanderbilt University Institute for Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN 37232-2310, USA.
出版信息
Comput Med Imaging Graph. 2007 Sep;31(6):436-46. doi: 10.1016/j.compmedimag.2007.04.002. Epub 2007 Jun 15.
Abstract
The objectives of this study were to use computer-generated phantoms containing real subject motion to: (1) compare the sensitivity of four commonly used fMRI software packages and (2) compare the sensitivity of three statistical analysis strategies with respect to motion correction. The results suggest that all four packages perform similarly in fMRI statistical analysis with SPM2 having slightly higher sensitivity. The most sensitive analysis technique was to perform motion correction and include the realignment parameters as regressors in the general linear model. This approach applies to all four packages examined and can be most beneficial when stimulus-correlated motion is present.
摘要
本研究的目的是使用包含真实受试者运动的计算机生成体模，以：（1）比较四种常用功能磁共振成像（fMRI）软件包的灵敏度，以及（2）比较三种统计分析策略在运动校正方面的灵敏度。结果表明，在fMRI统计分析中，所有四个软件包的表现相似，其中SPM2的灵敏度略高。最灵敏的分析技术是进行运动校正，并将重排参数作为一般线性模型中的回归变量。这种方法适用于所研究的所有四个软件包，并且在存在与刺激相关的运动时可能最为有益。
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