Hi,
I suggest directing your inquiry to the FSL-Users list.

Cheers,
-MH

--
Michael Harms, Ph.D.

-----------------------------------------------------------

Associate Professor of Psychiatry
Washington University School of Medicine
Department of Psychiatry, Box 8134
660 South Euclid Ave.                        Tel: 314-747-6173
St. Louis, MO  63110                          Email: [email protected]

On 4/29/19, 6:15 AM, "[email protected] on behalf of 
Samuel Berry" <[email protected] on behalf of 
[email protected]> wrote:

Hello,

I have been having some issues when running one-sample PALM analysis on a 4d 
nifti image that contains 3T zmaps from a seed-based correlation analysis. The 
error I get is:

Error using palm_competitive
Data cannot be sorted. Check for NaNs that might be present, or precision 
issues that may cause over/underflow. If you are using “-approx tail”, consider 
adding “nouncorrected”.

Having read some other posts on this error I have taken the following steps.

1) Changed the seed to be ‘twist’
2) Run fslmaths -nan on my data before running the analysis
3) Converted the 4d file to ‘double’ using fslmaths <4dimg> <output> -odt double
4) Run with and without tail approximation, always with the -nouncorrected 
option.
5) Tried without the EB blocks
6) Used up to 10,000 permutations

Unfortunately I always get the same error. I went into the palm_competitive 
script and saved the variables created and it shows that I do indeed have NaNs 
(from the gg variable). I tried, just to see what happens, to bypass the error 
by replacing any NaNs with the mean of the ’S’ variable which did let me 
progress past the error. However my output is then a fwep image that is all ‘1’ 
and a tstat image that is just NaN. Do you have any idea what I am doing wrong? 
I have been stuck on this for a while now and can’t figure it out!

My PALM input is the following (with the variations I have mentioned above, and 
-n 5 being just for testing).

palm -i <4d_img>, -T, -eb <EB_file>,  -save1-p,  -n 5, -seed twist, -m 
<mask_file>, -o <output_file>

Many thanks,
Sam



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