permutations tmaps different from fsl randomize output by a factor of ~470

[egillax]

Thank you for the great toolbox!

I'm getting different results for the t-maps outputted by BROCCOLI's RandomiseGroupLevel and fsl randomise where I'm only testing for the groupmean (-groupmean flag in Broccoli and -1 flag in randomise).

The commands I ran were:
RandomiseGroupLevel volumes.nii -groupmean
randomise -i volumes.nii -o output -1

The maps look the same but the t-values are off by a factor of ~470 for BROCCOLI. So like 0.06 instead of 28. I've also done a 1 sample t-test in spm and the results are very similar to the randomise ones.

I've attached the information about my system from getOpenCLInfo.

I can put the data on dropbox for you if you wan't to try it out yourself. Any idea what could be the problem?

CLI_info.txt

[wanderine]

That sounds strange, if you put the data on dropbox I can try it. 2017-09-21 16:53 GMT+02:00 egillax <notifications@github.com>:

…

Thank you for the great toolbox! I'm getting different results for the t-maps outputted by BROCCOLI's RandomiseGroupLevel and fsl randomise where I'm only testing for the groupmean (-groupmean flag in Broccoli and -1 flag in randomise). The commands I ran were: RandomiseGroupLevel volumes.nii -groupmean randomise -i volumes.nii -o output -1 The maps look the same but the t-values are off by a factor of ~470 for BROCCOLI. So like 0.06 instead of 28. I've also done a 1 sample t-test in spm and the results are very similar to the randomise ones. I've attached the information about my system from getOpenCLInfo. I can put the data on dropbox for you if you wan't to try it out yourself. Any idea what could be the problem? CLI_info.txt <https://github.com/wanderine/BROCCOLI/files/1321624/CLI_info.txt> — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#39>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AEGryJQ-YCDwBgWuYSwB7sqIWctic9q8ks5sknhjgaJpZM4PfcfX> .

-- Anders Eklund, PhD

[egillax]

Here it is:

https://www.dropbox.com/s/80818jjv5n7m81r/volumes.nii?dl=0

[wanderine]

There is something strange in the header. If I do fslinfo volumes.nii it says that the data_type is UINT8, but if I look at the dataset in fslview fslview volumes.nii the values are actually floats... so if I do fslmaths volumes.nii volumes_float.nii -odt float and then run RandomiseGroupLevel the t-scores are much higher 2017-09-21 20:18 GMT+02:00 egillax <notifications@github.com>:

…

Here it is: https://www.dropbox.com/s/80818jjv5n7m81r/volumes.nii?dl=0 — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#39 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AEGryIFEmPola7ADp3NAAdKluuH-S4dlks5skqhsgaJpZM4PfcfX> .

-- Anders Eklund, PhD

[egillax]

Thanks! That did the trick.