Hello everybody! I'm looking to run a whole-brain searchlight but I want to focus the "searchlight" on specific voxels - namely ones which are not "empty" space in my t-maps (the column contains 0 for every sample for a given feature).
I know center_ids is the key, but I'm not sure of the specific way to code it. The documentation says it requires a "list of feature ids (not coordinates)", and from looking at other datasets, it looks like that means it wants a list object (?) with numerical values representing the specific features I want to use (e.g. a list of [0,1,2] would mean I want to use the first three features as centers). The tutorial uses a pre-specified list object (rather than coding one from scratch), so I'm not quite sure what to do. Am I on the right track, and is it just basically a list? I learn a lot through examples and it would be great to get some extra help on this, even though I know it's sort of a basic question. Additionally, is there some way to have the searchlight avoid any features which are "empty" when it grabs a cluster of voxels? I ask because my mask includes some empty spaces, and it looks like the searchlight includes the 0 columns in the searchlight 'cluster', which affects the overall accuracy for the center voxel. Thank you all! Kade Jentink
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