answers below
On 3/7/17 7:54 AM, 刘丽 wrote:
Dear FS Experts,
I have one group to compare the difference between their preoperative and postoperative after one month. I followed http://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/LongitudinalTutorial to process data. I run these command in number 2.* Longitudinal Image Processing*:
recon-all –s sub01_MR1 –all / recon-all –s sub01_MR2 –all**
recon-all -base sub01 -tp sub01_MR1 -tp sub01_MR2 –all
recon-all -long sub01_MR1 sub01 –all / recon-all -long sub01_MR2
sub01 –all
I am confused about choosing which kind of analysis in the page http://surfer.nmr.mgh.harvard.edu/fswiki/LongitudinalStatistics And I tried http://surfer.nmr.mgh.harvard.edu/fswiki/RepeatedMeasuresAnova
The “rmanova.fsgd”:
GroupDescriptorFile 1
Class sub01
Class sub02
…
Variables TP1-vs-TP2
Input sub01_MR1 sub01 1
Input sub01_MR2 sub01 -1
Input sub02_MR1 sub02 1
Input sub02_MR2 sub02 -1
…
“tp1-va-tp2.mtx”: 0 0 … 1
And I look in one mail in the list, say “one group to use Paird Analysis easier”. http://surfer.nmr.mgh.harvard.edu/fswiki/PairedAnalysis
“pairs.fsgd”:
GroupDescriptorFile 1
Class Main
Input sub04_MR1 Main
Input sub04_MR2 Main
Input sub05_MR1 Main
Input sub05_MR2 Main
…
“paird-diff.fsgd” : **
GroupDescriptorFile 1
Class Main
Variables Age
Input sub04pair Main 24
Input sub05pair Main 27
…
“mean.mtx”: 1 0
My question:
- Are the above several files I set up correct??There are
inconsistent results in them… So which one should I choose??
Assuming you have no covariates, they should give identical results. Note that for the paired-diff, you need to subtract tp1 from tp2 manually and pass the result to mri_glmfit.
- I found the increase or decrease a subjects had a great influence
on the analysis result, how to filter the participants??
not sure what you mean hear. can you elaborate?
Looking forward to reply, and thanks very much!
Kind regards,
Livia
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer