Dear Developers,
thank you very much for your giant effort in producing this toolbox!
I do not have clear from the documentation which parcellation one should use to contextualize results (e.g. z-values of group differences) using the BirBrain gradients or the Economo and Koskinas cytoarchitectonic atlas. To be specific, in the example:
what is exactly 'CT_d'? I tried using vertexwise maps resampled into fsaverage or fsaverage5, or the schaefer200 parcellation. The function economo_koskinas_spider() always produces a result, and it differs. It also produces a result using as input an array of arbitrary length, and this puzzles me, so I think I misunderstood something... Is this question related to the "Gene Expression Maps" one?
Thank you very much for any help!
Bests
Fabio