Dear list,I need to run random-effects group analysis (i.e., comparison between two groups) and I am confused about my options in FSL.
On one hand, in FEAT there is a "high-level analysis" and "inputs as 3D cope images from FEAT" options. To use this FEAT pathway, I need my images to be registered in first-level analysis (which is not my case). In addition, FEAT calls internally FLAMEO, so I can run directly FLAMEO and probably there is no requirement to have the images registered (https://www.jiscmail.ac.uk/cgi-bin/webadmin?A2=FSL;b447798e.0909).
In addition, there are Randomise and PALM. But are they suitable for random-effects group analysis?
In general, I analyze HCP connectome surface data, so if the analysis can be done directly with surface data, it would be preferable. As far as I understand PALM does support surface data.
Many thanks for you help,Vadim