Hi all,
I tried to leave the -D option and either:
1) in one case insert row data in EV
2) in the other case insert demeaned data in EV
the result were really similar but in the case of 2 there was a bit less significance.
this seems to point in favor of Angela, what do you think?
Hi ALL,
I think you have to demean both:
1) behavioral data (EV1)
2) image data (using -D)
Why does it make no sense? Demeaning EV1 and -D are different processes
(one for behavioral data and the other for image data)
Angela
> Hi,
>
> Demeaning (manual or automatic) is necessary, since you model the mean in
> EV1
> already. So you have only two options:
> 1. either you enter raw data and use the -D option (automatic)
> 2. or you enter demeaned data and you do not have to use -D option
> (manual)
> (It makes no sense - however, make no harm either - using -D option on
> demeaned data, since the mean is 0. As a result, you demeaned data will
> be
> untouched.)
>
> I hope it helps,
>
>
> Auer, Tibor M.D. Ph.D.
> Biomedizinische NMR Forschungs GmbH
> am Max-Planck Institut für Biophysikalische Chemie
> Am Fassberg 11
> 37077 Göttingen
> Germany
> Phone/Work: +49-(0)551-201-1725
> Phone/Home: +49-(0)551-387-0076
> Mobile: +49-(0)176-8012-7921
> Mail: [log in to unmask]
>
>
>> -----Original Message-----
>> From: FSL - FMRIB's Software Library [mailto:[log in to unmask]] On
>> Behalf Of Mauro Serra
>> Sent: Wednesday, July 04, 2012 5:36 PM
>> To: [log in to unmask]
>> Subject: [FSL] demean in TBSS
>>
>> HI,
>>
>> I'm new in fsl DTI analisys, I'm not shure if I have understood when I
>> need
> to
>> demean my data.
>>
>> I'm performing a TBSS analysis within subjects, with only one EV: I'm
>> correlating FA and a behavioural measure.
>>
>> I have posted the design matrix and the contrast matrix, my questions
>> are:
>>
>> 1) Should I use randomize with the option -D like in this script:
>> randomise -i all_FA_skeletonised -o tbss -m mean_FA_skeleton_mask -d
>> design_nco.mat -t design_nico.con -n 500 -D --T2 or not?
>>
>> 2) if I have to use -D should I insert in the design matrix the
>> behavioural
>> demeaned data? or should I insert the "row" data and the -D option will
>> do
>> everything automatically?
>>
>> 3) if I don't have to use the -D option in the script, what about the
>> behavioural data? should I write in the design matrix the demeaned
>> behavioural score or row score?
>>
>> Thanks in advance for the help, and I'msorry if my question looks
>> stupid
> but
>> I'm really stuck on it!
>
>