I'm relatively new to the neuroimaging stuff.
I have a set of NIFT data, which has multiple trials for each subject, and each trial is consisted of just one volume of data (no time series, just one frame). What kind of preprocessing steps are appropriate and how do I do it?
I quickly looked through some SPM tutorials and most of them focus on realignment and normalization of functional data, which I think is not what I have since I only have one frame for each trial. Many of them also mention anatomical image and functional image, what are the differences between them?
recap of my questions:
What is the differences between anatomical and functional data
For my data set described above, what are the appropriate preprocessing steps and how do I do them?