I’m following nilearn’s tutorial with the AHDH dataset.
design_matrix = make_first_level_design_matrix(frametimes, hrf_model='spm', add_regs=seed_time_series, add_reg_names=["pcc_seed"]) first_level_model = FirstLevelModel(t_r=t_r, slice_time_ref=slice_time_ref) first_level_model = first_level_model.fit(run_imgs=adhd_dataset.func, design_matrices=design_matrix)
I have a few questions:
- all options common in
FirstLevelModelhave to be exactly the same right? For example, if I define
make_first_level_design_matrixdo I need to do the same in
FirstLevelModel? Or does
FirstLevelModelignores its options if
- Since the AHDH dataset are resting state data, why do I need an
- Is there an option to inform
FirstLevelModelthat I haven’t performed slice timing correction?
make_first_level_design_matrixadds a constant to the design matrix automatically. However my data have been already demeaned, is this column still required?
- Also what should the
output_typebe if I intend to use these images in a group level analysis?