[pymvpa] null classification performance in the presence of strong univariate signal??
jetzel at artsci.wustl.edu
Fri Sep 19 13:37:55 UTC 2014
Yes, that looks like a reasonable single-subject searchlight accuracy
map, and not the sort of thing that would lead to high significance in
all voxels in a t-test.
I second Nick's guess that you might have tested against zero instead of
On 9/18/2014 5:44 PM, David Soto wrote:
> Thanks Jo and Nick for the advise, the individual acc maps
> which I registered to MNI prior to t-test look fine to me
> (see example pic attached, spot with accuracy around 0.7)...there might
> be something going on in the t-testing done in FSL, though I cant see
> what- as should work fine across imaging data types -
> I will try your R code - thanks!
> On Thu, Sep 18, 2014 at 11:04 PM, J.A. Etzel <jetzel at artsci.wustl.edu
> <mailto:jetzel at artsci.wustl.edu>> wrote:
> I agree with Nick that something might have went wrong with the
> t-test. I've never tried one in fsl, either, but usually use R.
> Here's a little bit of R code to do a voxelwise t-test:
> I assume you looked at the 19 subjects' accuracy maps before trying
> the t-test ...
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