Thanks for the link!
I was wondering, however, what the best strategy is for extracting time series in a seed-based analysis, in which the seeds are created in MNI space:
1. Registering the seeds to native space using FLIRT with applyxfm option and the registration matrix file standard2example_func.mat, generated by FEAT during preprocessing. Subsequently, thresholding the native space seeds for better spatial specificity/accuracy. Finally, extracting time series using the newly created native space seeds.
2. Using the example_func2standard.mat file for registering functional data to MNI space, using MNI space seeds to extract the time series in MNI space, and conduct connectivity analysis in native space using those time series.
Any assistance would be greatly appreciated.