Dear Yunjin,
You don’t have to re-run dual regression if you want to do a different comparison with your data.
The choice between ANOVA (subgroup1 subgroup2 control) or 2 group comparison (subgroup1 subgroup2) depends on your research question.
In the first case, you simply take the output of second stage of dual regression (dr_stage2_ic[#ICA].nii.gz) and run randomise with different design and contrasts.
In the second case, you can take the output of second stage of dual regression (dr_stage2_ic[#ICA].nii.gz), select the 3D maps of the patients only (using fslroi or fslsplit/fslmerge), combine them in a new 4D file, and run randomise with your new design/contrasts.
Hope it helps,
Ludovica
> On 21 Jan 2019, at 9:30 pm, Yunjn <[log in to unmask]> wrote:
>
> Dear Ludovica,
>
> Thank you so much!! Now I understand it.
>
> and can I ask one more question about it?
>
> After conducting dual regression and 2nd level analysis including patient and control group, now I want to do subgroup analysis for the patient group.
>
> I'd like to split the paitent group into 2 different subgroups, and compare between the two groups.
>
> In this case, do I have to conduct dual regression again only including patient group or not?
>
> if I just can use 2nd stage output of the patients from the first analysis, do I need to include control group in ANOVA contrast in 2nd level analysis?( using [-1 1 0] (subgroup1 subgroup2 control) for ANOVA contrast)
>
> Thanks,
> Yunjin
>
>
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