I've posted a demo of AFNI's surface mapper program, SUMA, over here on my screencast account. Specifically, I talk about how to map volumetric results generated in any fMRI software package (e.g., AFNI, FSL, SPM, BrainVoyager) onto a template surface provided by SUMA.
In this demo, I take second-level results generated in SPM and map them onto a template MNI surface, the N27 brain. All that is needed for doing this is a results dataset, a template underlay anatomical brain to visualize results on (here I use the MNI_caez_N27 brain provided in the AFNI binaries directory under ~/abin), and a folder called suma_mni that contains the .spec files for mapping onto the N27 brain. The suma_mni folder is available for download at Ziad Saad's website here. Just download it to the same directory, and you are good to go.
I've outlined the steps in a word document, Volumetric_SUMA.docx, which is available at my website. Please send me any feedback if any of the steps are unclear.
Although this is an incredibly easy way to make great-looking figures, at the same time I would not recommend doing any ROI stats on the results mapped onto a surface using these steps. This is because it is essentially a rough interpolation of which voxel corresponds to which node; if you want to do surface ROI analyses, do all of your preprocessing and statistics on the surface (I may write up a demo of how to do this soon).
In this demo, I take second-level results generated in SPM and map them onto a template MNI surface, the N27 brain. All that is needed for doing this is a results dataset, a template underlay anatomical brain to visualize results on (here I use the MNI_caez_N27 brain provided in the AFNI binaries directory under ~/abin), and a folder called suma_mni that contains the .spec files for mapping onto the N27 brain. The suma_mni folder is available for download at Ziad Saad's website here. Just download it to the same directory, and you are good to go.
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| SPM 2nd-level results mapped onto template surface using AFNI / SUMA |
I've outlined the steps in a word document, Volumetric_SUMA.docx, which is available at my website. Please send me any feedback if any of the steps are unclear.
Although this is an incredibly easy way to make great-looking figures, at the same time I would not recommend doing any ROI stats on the results mapped onto a surface using these steps. This is because it is essentially a rough interpolation of which voxel corresponds to which node; if you want to do surface ROI analyses, do all of your preprocessing and statistics on the surface (I may write up a demo of how to do this soon).