Hello experts,
I have preprocessed my data using fmriprep. However, for first and second level processing I would like to use AFNI. (I have historically used SPM, but am switching to AFNI for a number of reasons, namely flexibility of second level models, ability to see the data, cluster algorithms for multiple comparisons - so I am relatively new to AFNI.) I am wondering if it is possible to use afni_proc.py with data that have been preprocessed in fmriprep. How would one specify the minimally preprocessed files here, as well as the regressors for first-level analysis? Another option that I have been considering is implementing an afni processing pipeline using nipype, since something similar has been published using fsl (by Esteban et al. 2019). Your input is much appreciated. Thanks!
