Hi Ranjan,
You can certainly do this. I take it that you have single-subject results here so the usual approach is to map the data onto that subject's own surface model. For this work however you will need to have surface models created for that subject (with FreeSurfer for instance). If you don't want to go through that process, you can transform your subject's result to standard space (uber_subject.py will do that for you), then project the data onto surfaces for the N27 brain (http://afni.nimh.nih.gov/pub/dist/doc/htmldoc/installations/TemplateSurfaces/TemplateSurfaces.html).
I highly recommend you go through the documentation for SUMA before you dive into this. You can download our class material and follow the quick-tour instructions from [
afni.nimh.nih.gov] .
cheers,
Ziad
