Hi, I am trying to get a first level analisys for my fMRI using nipype and fsl.
I have one run per subject (120 volumes, TR 3) with a single task paradigm (in feat I would select ArAr) with 30s Task and 30s Rest.
for the subject_info input of the SpecifyModel node i used this:
evs_run = Bunch( conditions=['Task'], onsets=[list(range(0, int(TR*120), 60))], durations=[] )
and for contrasts input of the Level1Design node i used this:
cont1 = ['Task>Rest', 'T', ['Task'], ]
Can someone help me and check if my nipype setup is correct? I’m getting an error in the FILMGLS step (Warning: Number of voxels = 0. Spatial smoothing of autocorrelation estimates is not carried out) and I wonder if the problem is in the model design or in the preprocessing.