Thanks, Nick. No luck, unfortunately: the script is yielding the same errors with -N (or —pad_to_node) 20479. I also tried leaving out subjects 05 or 06, but get the same result.
On Sun, Apr 12, 2015 at 8:02 AM, Nick Oosterhof < [email protected]> wrote: > > On 12 Apr 2015, at 00:53, Mike E. Klein <[email protected]> wrote: > > > I’m trying to run a sample top-level analysis on surface-based > searchlight data using Nick’s afni_surface_alphasim script. I’ve never > tried this before, and am getting a ZeroDivisionError (bottom of output). I > tried re-running the script, leaving out some subjects (in case there is a > bad file/vertex somewhere), but get the same result. […] > > > > Here is my bash input/output: […] > > > > ++ 3dbucket: AFNI version=AFNI_2011_12_21_1014 (May 1 2014) [64-bit] > > ** FATAL ERROR: Dataset > /Volumes/deep_thought/fmri/mvpa2/april_analyses/subs/06/suma_surfaces_deoblique/zeroed_soundVrest_NEW-minimal_ico32-128_mh_50vx.niml.dset > differs in size from first one > > This error suggests that the number of vertices is not matched across > subjects. Probably there are nodes that have values from some subjects but > not others (e.g. when running a searchlight analysis with partial brain > coverage, i.e. when the functional data does not contain all of the surface > node in some subjects). > > Try using the “--pad_to_node” option in afni_surface_alphasim. In your > case, ico32 means 10*(32*32)+2=10240 nodes per hemisphere, and you use > merged hemispheres. The value for pad_to_node is then > (10*(32*32)+2)*2-1=20479, where the “-1” is for the 0-base indexing used by > afni. > > Please let us know if that solves the problem. > > >
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