[pymvpa] Group analysis - surface searchlight

[Mike E. Klein]

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 <
n.n.oosterhof at googlemail.com> wrote:

>
> On 12 Apr 2015, at 00:53, Mike E. Klein <michaeleklein at gmail.com> 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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