I’m a new TDT user, and I have a very basic question: what kind of result measure from TDT can I/should I input a SPM 2nd level analysis in order to compute group-level statistics (on whole-brain maps obtained from a searchlight analysis)?
I was initially considering simply passing on the accuracy_minus_chance maps (smoothed), but I’m running a leave-one-run-out CV (with 5 runs), and I have only one example of each class in each run, so the corresponding accuracy map takes quite discrete values, and I’m not sure if it’s compatible with SPM assumptions (even after smoothing the accuracy maps). Alternatively, I guess I could use AUC_minus_chance maps…
What do you think?
(Also, does running a searchlight decoding -even with a small radius- make sense with so few examples in my training and testing sets?)
Thanks in advance for your help!