大家好,
我现在想要对一组ER设计的数据用DPARSF做功能连接分析。在阅读相关文献时,我注意到很多使用任务激活数据做连接的研究中,都将实验设计的条件回归掉
如:The task-related regressor
(tactile or visual moving stimuli) of each run was also included as
an additional regressor of no interest in the correlation analysis in
order to minimize the effect of the specific tasks (Whalley et al.,
2005) ----- Sani et al, 2010
Furthermore, four regressors related to the stimuli were included in order to minimize
the stimulus-related variance (Brown et al., 2005; Fair et al., 2006;
Miezin et al., 2000; Schlaggar et al., 2002). ----- van der Mark et al, 2011
我的问题是在DPARSF或REST中如何去除这些实验条件的效应?或者在spm中怎样做可以将这些实验条件的效应去掉?
谢谢先!
任务效应的去除方法: 可以在DPARSF或者REST中输入
非常感谢!
假设tr=2s,
简单去掉后边的16个时间点
曲线的纵坐标值不同
我认为峰值的大小无关紧要。形状对就可以。