In MRI experiments, we usually ask our participants to keep still in the scanner because head movement may affect the data quality. Meanwhile, we always do the motion correction before fMRI/rfMRI data preprocessing, aiming to reduce the potential influence of this unwanted noise. However, recent studies showed that there were motion effects even after the motion correction with the standard algorithms. For example, the artifact of participant motion affects the functional connectivity analysis of rfMRI data. In addition, head motion can also result in a bias for the calculation of both FA and MD in DTI data analysis.