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My peak_nii tool will compute this for you automatically.

spmT are the T-values. The uncorrected p-values are computed based on the T and the degrees for freedom using a standard conversion of T to p-values.

Corrected statistics use more complicated approaches and RFT (with the exception of voxel-wise FDR, which is a standard statistical approach outside of imaging).

Best Regards, Donald McLaren
=================
D.G. McLaren, Ph.D.
Research Fellow, Department of Neurology, Massachusetts General Hospital and
Harvard Medical School
Postdoctoral Research Fellow, GRECC, Bedford VA
Website: http://www.martinos.org/~mclaren
Office: (773) 406-2464
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On Thu, Sep 19, 2013 at 11:11 AM, Gabriel Go.Es. <[log in to unmask]> wrote:
Dear SPMers


I'm wondering how does SPM8 do to threshold the results when I click at the results button. Is there a way to know the pvalues of the voxels and knowing how many are in a cluster in matlab, without having to click to the results menu?

The spm8 only produces SPM.mat, beta_00#.img, con_00#.img, mask.img, ResMS.img, RPV.img and smpT_00#.img files and I have no clue on how to know the P values uncorrected or corrected for FDR or FWE from these images, nor the coordinates of the maximum voxel, or the Z-values that appear in the spm results report PDF file. I suppose that the spmT_00#.img are the T-values?

I'm asking this, because I have performed hundreds of correlations, and I don't want to check one by one to know if they are significant after correcting for FDR or FWE and setting a k-threshold, and saving the images of the results (3D images) one by one.

I have aproximately 2296 correlations, so in fact, this would be lots of work, that I would be so greatful to automatize.


Many thanks in advanced,
Gabriel