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In SPM, the results table will only display the top 3 peaks in each region, even if there are many more peaks. With SVC, more peaks are displayed.

As the threshold gets more liberal, you will find fewer clusters as individual clusters become merged into larger clusters. Each time you lose a cluster, you will potentially lose up to three peaks in the results table.

If you want all the peaks, look at the peak_nii tool on nitrc.org/projects/peak_nii.


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 Sat, Jul 25, 2015 at 9:32 AM, Maria Angela Guzzardi <[log in to unmask]> wrote:
Dear all,

I am a new SPM user and I am exploring the SMP12 functions in the PET modality.
I am trying to compare brain glucose uptake between two groups of subjects using a two-samples T-test.
I would like some help to understand why a lower number of coordinates are found when I use a threshold p<0.05 compared to p<0.02 or p<0.01 under the same conditions, although a much higher number of regions are shown in the graphical results (both section and rendering), as expected.

Thanks for the help
Best wishes

Maria Angela Guzzardi