Time series scaling

    For example, by default in AFNI (Cox, 1996) the time series is scaled by the mean value at each voxel, so that the effect estimate for each condition can be directly interpreted as a percent signal change relative to the voxel-wise temporal mean; as a result, effect estimates themselves are interpretable, carry real information about the size of the BOLD effect, and are comparable across brain regions, conditions, subjects, groups, studies and scanners.                                                                                                    (Gang,2017)

在afni中似乎要手动去对时间序列进行normalization，具体步骤参考以下链接。

示例+代码：https://afni.nimh.nih.gov/pub/dist/edu/data/CD.expanded/AFNI_data6/FT_analysis/tutorial/t14_scale.txt