I have run
1)
isxconcat-sess -sf sessid_LONG_tp1 -analysis fc.rhseed.surf.rh -contrast 
R_SEED -o LONG_tp1
isxconcat-sess -sf sessid_LONG_tp2 -analysis fc.rhseed.surf.rh -contrast 
R_SEED -o LONG_tp2

2)
fscalc /LONG_tp1/fc.rhseed.surf.rh/R_SEED/ces.nii.gz -sub/ LONG_tp2/fc.rhseed.
surf.rh/R_SEED/ces.nii.gz -o /LONG/fc.rhseed.surf.rh/ces.nii.gz
fscalc /LONG_tp1/fc.rhseed.surf.rh/R_SEED/ces.nii.gz -sub /LONG_tp2/fc.rhseed.
surf.rh/R_SEED/ces.nii.gz -o /LONG/fc.rhseed.surf.rh/ces.nii.gz
fscalc /LONG_tp1/fc.rhseed.surf.rh/R_SEED/cesvar.nii.gz -sub /LONG_tp2/fc.
rhseed.surf.rh/R_SEED/cesvar.nii.gz -o /LONG/fc.rhseed.surf.rh/cesvar.nii.gz
fscalc /LONG_tp1/fc.rhseed.surf.rh/R_SEED/cesvar.nii.gz -sub /LONG_tp2/fc.
rhseed.surf.rh/R_SEED/cesvar.nii.gz -o /LONG/fc.rhseed.surf.rh/cesvar.nii.gz

3)
GroupDescriptorFile 1
Class Main
Input subject1pair Main
Input subject2pair Main
Input subject3pair Main
Input subject4pair Main
Input subject5pair Main
Input subject6pair Main
Input subject7pair Main
Input subject8pair Main
Input subject9pair Main
Input subject10pair Main

mean.txt which contains 1 0

4)
cd /LONG/fc.rhseed.surf.rh
mri_glmfit --glmdir long --y ces.nii.gz --wls cesvar.nii.gz --surface 
fsaverage rh --nii.gz --fsgd long.fsgd --C mean.mtx

I have this error:

Loading y from /LONG/fc.rhseed.surf.rh/ces.nii.gz
   ... done reading.
INFO: gd2mtx_method is dods
Saving design matrix to long/Xg.dat
Computing normalized matrix
Normalized matrix condition is 1
Matrix condition is 1
Found 149926 points in label.
Pruning voxels by thr: 1.175494e-38
Found 149926 voxels in mask
Saving mask to long/mask.nii.gz
Reshaping mriglm->mask...
search space = 74490.844410
ERROR: MRInormWeights: value less than or eq to 0.
  c=0, r=0, s=0, v=-0.00516849



>----Messaggio originale----
>Da: "Douglas N Greve" <gr...@nmr.mgh.harvard.edu>
>Data: 18-set-2017 23.03
>A: <freesurfer@nmr.mgh.harvard.edu>
>Ogg: Re: [Freesurfer] R: Re: R: Re: FS-FAST longitudinal analyis
>
>oh, I see now. In fsfast, you would
>
>1. run isxconcat-sess on each time point separately (stacks all subjects 
>into one file)
>
>2. Compute the difference between the time points, eg,
>
>fscalc tp1.nii.gz sub tp2.nii.gz -o diff.nii.gz
>
>3. Then  continue from "Create Second FSGD File" on the wiki.
>
>Don't smooth since that has probably been done when you ran the fsfast 
>analysis
>
>
>
>On 09/18/2017 04:58 PM, std...@virgilio.it wrote:
>> My apologies for the trivial question. Anyway, the web page reports 
information
>> for cortical thickness analysis. I understand it.
>> No information I found on fs-fast longitudinal analysis.
>> Thus, when I run fs-fast longitudinal analysis, the steps 1-5 should be
>> performed? Or they are only for morphometry?
>> Many thanks
>>
>>> ----Messaggio originale----
>>> Da: "Douglas N Greve" <gr...@nmr.mgh.harvard.edu>
>>> Data: 18-set-2017 20.03
>>> A: <freesurfer@nmr.mgh.harvard.edu>
>>> Ogg: Re: [Freesurfer] R: Re: FS-FAST longitudinal analyis
>>>
>>> I don't understand what you don't understand. Isn't the web page clear
>>> enough? Are those 5 steps on the web page?
>>>
>>>
>>> On 09/18/2017 02:20 AM, std...@virgilio.it wrote:
>>>> Thanks, but I not understand if the follow step that you suggested me
>>>> should be used also for FS-FAST analysis.
>>>>
>>>> Specifically, I'm refferring to:
>>>>
>>>> 1Sample each individual's surface onto the average surface.
>>>> 2Compute the difference between each of the pairs in the average
>>>> surface space.
>>>> 3Concatenate the differences into one file.
>>>> 4Smooth on the surface (optional)
>>>> 5Perform analysis with mri_glmfit on this file
>>>>
>>>> Importantly, should I create the two fsgd files as reported in the web
>>>> page and below? Or only the second is due?
>>>>
>>>> One is:
>>>> GroupDescriptorFile 1
>>>> Class Main
>>>> Input subject1      Main
>>>> Input subject1match Main
>>>> Input subject2      Main
>>>> Input subject2match Main
>>>> Input subject3      Main
>>>> Input subject3match Main
>>>> Input subject3      Main
>>>> Input subject3match Main
>>>>
>>>> the other is:
>>>> GroupDescriptorFile 1
>>>> Class Main
>>>> Variables Age
>>>> Input subject1pair   Main 30
>>>> Input subject2pair   Main 40
>>>> Input subject3pair   Main 50
>>>> Input subject4pair   Main 60
>>>>
>>>> Thanks
>>>>
>>>> Regards
>>>>
>>>>
>>>> Stefano
>>>>
>>>>      ----Messaggio originale----
>>>>      Da: "Douglas Greve" <gr...@nmr.mgh.harvard.edu>
>>>>      Data: 18-set-2017 0.13
>>>>      A: <freesurfer@nmr.mgh.harvard.edu>
>>>>      Ogg: Re: [Freesurfer] FS-FAST longitudinal analyis
>>>>
>>>>      That looks correct. You can also checkout the instructions here:
>>>>
>>>>      https://surfer.nmr.mgh.harvard.edu/fswiki/PairedAnalysis
>>>>
>>>>
>>>>      On 9/17/17 6:07 PM, std...@virgilio.it wrote:
>>>>>      Hi list,
>>>>>
>>>>>      I'm not sure that the files reported below are correct to assess
>>>>>      the longitudinal difference between T1 and T2.
>>>>>      Please, could you check it? The result which I have obtained bu
>>>>>      running mri_glmfit is too strange.
>>>>>      Thanks
>>>>>      Best regards
>>>>>      Stefano
>>>>>
>>>>>      1) PAIRWISE.fsgd file
>>>>>      -------------------
>>>>>      GroupDescriptorFile 1
>>>>>      Class subj1
>>>>>      Class subj2
>>>>>      ...
>>>>>      Class subjN
>>>>>      Variables TP1-vs-TP2
>>>>>      Input subj1_tp1 subj1 1
>>>>>      Input subj1_tp2 subj1 -1
>>>>>      Input subj2_tp1 subj2 1
>>>>>      Input subj2_tp2 subj2 -1
>>>>>      ...
>>>>>      Input subjN_tp1 subjN 1
>>>>>      Input subjN_tp2 subjN -1
>>>>>      ----------------------------
>>>>>
>>>>>      2) mean.mtx
>>>>>      1 1 ... 1 0
>>>>>      ------------------------------
>>>>>      3) tp-effect.mtx
>>>>>      0 0 ... 0 1
>>>>>      ------------------------------
>>>>>      4) mri_glmfit --glmdir PAIRWISE --y ces.nii.gz --wls
>>>>>      cesvar.nii.gz --surface fsaverage rh --nii.gz --fsgd
>>>>>      PAIRWISE.fsgd doss --C mean.mtx --C tp-effect.mtx
>>>>>
>>>>>
>>>>>      _______________________________________________
>>>>>      Freesurfer mailing list
>>>>>      Freesurfer@nmr.mgh.harvard.edu
>>>>>      https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
>>>>
>>>>
>>>>
>>>>
>>>> _______________________________________________
>>>> Freesurfer mailing list
>>>> Freesurfer@nmr.mgh.harvard.edu
>>>> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
>>> -- 
>>> Douglas N. Greve, Ph.D.
>>> MGH-NMR Center
>>> gr...@nmr.mgh.harvard.edu
>>> Phone Number: 617-724-2358
>>> Fax: 617-726-7422
>>>
>>> Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
>>> FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2
>>> www.nmr.mgh.harvard.edu/facility/filedrop/index.html
>>> Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/
>>>
>>> _______________________________________________
>>> Freesurfer mailing list
>>> Freesurfer@nmr.mgh.harvard.edu
>>> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
>>>
>>>
>>> The information in this e-mail is intended only for the person to whom it 
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>> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
>>
>>
>
>-- 
>Douglas N. Greve, Ph.D.
>MGH-NMR Center
>gr...@nmr.mgh.harvard.edu
>Phone Number: 617-724-2358
>Fax: 617-726-7422
>
>Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
>FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2
>www.nmr.mgh.harvard.edu/facility/filedrop/index.html
>Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/
>
>_______________________________________________
>Freesurfer mailing list
>Freesurfer@nmr.mgh.harvard.edu
>https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
>

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