I want to do some data analysis on the residuals from a model estimation in SPM. However, I have noticed that SPM did not return one residual image per original functional volume but that quite some residuals seem to be missing after model estimation. Does anyone know why this might be the case?
Thanks, but I know how to make SPM write and keep the residuals; the problem here is that, say my functional run has 600 images, but I am only getting 500 residual images as output from SPM. The missing ones seem pretty randomly distributed amongst the 600 volumes. I wonder why that is?