Hello,
In that case your design looks fine, you might want to run randomise for 5000 permutation rather than 500, but other than that everything seems OK. If you are worried that randomise is generating incorrect values you can upload your input files to:
http://www.fmrib.ox.ac.uk/cgi-bin/upload.cgi
let us know the 6-digit reference number and we'll check in detail what is happening.
Many Regards
Matthew
> Hello,
> thanks a lot for the hint! Actually, the value is meant to be 1.000000e+00, like every other subject. A mistake by copy&paste, I guess. Unfortunately, it doesn't change the problem.
>
> Thanks,
> Antonius
>
>
> Am 18.01.2011 um 11:24 schrieb Matthew Webster:
>
>> Hello,
>> The 7.71E02 value in the 1st column of the design looks a little out of place - is this subject meant to be weighted differently?
>>
>> Many Regards
>>
>> Matthew
>>
>>> Dear FSL experts,
>>> I'm trying to run a study on the correlation of FA and neuropsychological data based on tbss. I'm a bit puzzled about my results, because all of the results are systematically opposite to my hypotheses (I assumed that better neuropsychological results accompany with a higher FA value, but it is the other way around with all variables). Hence I assume something like a sign error in my data.
>>>
>>> I demeaned the neuropsychology data in this way: single value minus mean of the values of all subjects.
>>>
>>> With glm_gui I created the following files:
>>>
>>> 01.con
>>>
>>> /ContrastName1 pCorr
>>> /ContrastName2 nCorr
>>> /NumWaves 2
>>> /NumContrasts 2
>>> /PPheights 6.000000e+00 6.000000e+00
>>> /RequiredEffect 5.564 5.564
>>>
>>> /Matrix
>>> 0.000000e+00 1.000000e+00
>>> 0.000000e+00 -1.000000e+00
>>>
>>>
>>> 01.mat
>>>
>>> /NumWaves 2
>>> /NumPoints 16
>>> /PPheights 7.710000e+02 2.005000e+01
>>>
>>> /Matrix
>>> 7.710000e+02 1.080000e+01
>>> 1.000000e+00 -2.500000e-01
>>> 1.000000e+00 -8.250000e+00
>>> 1.000000e+00 -9.250000e+00
>>> 1.000000e+00 -1.250000e+00
>>> 1.000000e+00 3.750000e+00
>>> 1.000000e+00 -9.250000e+00
>>> 1.000000e+00 2.750000e+00
>>> 1.000000e+00 5.750000e+00
>>> 1.000000e+00 -8.250000e+00
>>> 1.000000e+00 6.750000e+00
>>> 1.000000e+00 5.750000e+00
>>> 1.000000e+00 4.750000e+00
>>> 1.000000e+00 -1.250000e+00
>>> 1.000000e+00 -5.250000e+00
>>> 1.000000e+00 2.750000e+00
>>>
>>>
>>> I ran randomise with the following command
>>>
>>> randomise -i all_FA_skeletonised.nii.gz -o 01 -d 01.mat -t 01.con -m mean_FA_skeleton_mask.nii.gz -n 500 --T2
>>>
>>>
>>> Do you have any suggestions what I could have mixed up?
>>>
>>> Thanks a lot for your kind help!
>>>
>>> Cheers,
>>> Antonius
>>>
>
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