I'm not sure what you are looking for. The voxel-wise analysis is voxel-wise, 
so there is no summary file for it

On 8/12/2019 11:13 AM, miracle ozzoude wrote:

        External Email - Use Caution

Thanks Doug. Another question, how do i find the p-values for voxel-wise map 
corrected for multiple comparisons at a voxel (rather than cluster) level 
(perm.th40.abs.sig.voxel.mgh). There is no summary file for it.
Best,
Paul

On Wed, Aug 7, 2019 at 11:08 AM Greve, Douglas N.,Ph.D. 
<dgr...@mgh.harvard.edu<mailto:dgr...@mgh.harvard.edu>> wrote:
The 3 spaces is for left hemi, right hemi, and subcortical, so, if you
are using all three then correct for all 3

On 8/7/19 9:26 AM, miracle ozzoude wrote:
>
>         External Email - Use Caution
>
> Got it. Thanks a lot doug. If i have to correct for multiple
> comparison in surface based pet analysis and mutlimodal analysis (pet
> and thickness), should i use --3spaces?
> Thank you.
>
> best,
> Paul
>
> On Mon, Aug 5, 2019 at 10:19 PM Greve, Douglas N.,Ph.D.
> <dgr...@mgh.harvard.edu<mailto:dgr...@mgh.harvard.edu> 
> <mailto:dgr...@mgh.harvard.edu<mailto:dgr...@mgh.harvard.edu>>> wrote:
>
>     I think there is still something not right. You should just have
>     one mri_glmfit command for each hemisphere in which the input is
>     ?h.thickness.15.mgh, the fsgdfile is project.fsgd, you then
>     specify the pvrs for both groups (--pvr ?h.pvr_grp1_pet.nii.gz
>     --pvr ?h.pvr_grp2_pet.niigz) and then use that first contrast. The
>     second is the same as the first but with a reversed sign, but it
>     is not necessary since we always use unsigned tests and show both
>     signs (but you can still do it).
>
>     On 8/5/2019 8:14 PM, miracle ozzoude wrote:
>>
>>             External Email - Use Caution
>>
>>     I think i got it now. Something like this:
>>
>>     ## group1 comes first in my fsgd file. removing the effects of
>>     age and education
>>     ##amyloid-thickness. first pet pvr = 1 for group1 and 0 for group 2.
>>     mri_glmfit --y lh.thickness.15.mgh --fsgd project.fsgd dods --c
>>     pvr1.mtx --pvr lh.pvr_grp1_pet.nii.gz \
>>     --pvr allgrp2.lhmgxctx.fsaverage.sm05.zero.nii.gz  -surf
>>     fsaverage lh --cortex --glmdir lh.pet.thickness.glmdir
>>     mri_glmfit --y rh.thickness.15.mgh --fsgd project.fsgd dods --c
>>     pvr1.mtx --pvr rh.pvr_grp1_pet.nii.gz \
>>     --pvr allgrp2.rhmgxctx.fsaverage.sm05.zero.nii.gz -surf fsaverage
>>     lh --cortex --glmdir rh.pet.thickness.glmdir
>>
>>     contrast =  0 0 0 0 0 0 1 -1
>>
>>     ##group 2 is second in my fsgd file. removing the effects of age
>>     and education
>>     ##amyloid-thickness. first pet pvr = 0 for group1 and 1 for group2
>>      mri_glmfit --y lh.thickness.15.mgh --fsgd project.fsgd dods --c
>>     pvr2.mtx --pvr allgrp1.lhmgxctx.fsaverage.sm05.zero.nii.gz \
>>     --pvr lh.pvr_grp2_pet.nii.gz -surf fsaverage lh --cortex --glmdir
>>     rh.pet.thickness.glmdir
>>     mri_glmfit --y rh.thickness.15.mgh --fsgd project.fsgd dods --c
>>     pvr2.mtx --pvr allgrp1.rhmgxctx.fsaverage.sm05.zero.nii.gz \
>>     --pvr rh.pvr_grp2_pet.nii.gz -surf fsaverage lh --cortex --glmdir
>>     rh.pet.thickness.glmdir
>>
>>     contrast = 0 0 0 0 0 0 -1 1
>>
>>     On Mon, Aug 5, 2019 at 6:47 PM Greve, Douglas N.,Ph.D.
>>     <dgr...@mgh.harvard.edu<mailto:dgr...@mgh.harvard.edu> 
>> <mailto:dgr...@mgh.harvard.edu<mailto:dgr...@mgh.harvard.edu>>> wrote:
>>
>>         It still looks like you are using a group specific input
>>         (--y). The input should be a simple file with both groups
>>         (same input as you would use without pvr)
>>
>>         On 8/5/2019 4:39 PM, miracooloz wrote:
>>>
>>>                 External Email - Use Caution
>>>
>>>         Thanks Doug. How about the mri_glmfit commands? Since the
>>>         contrasts are correct, I think the commands should be right.
>>>
>>>         Best,
>>>         Paul.
>>>
>>>
>>>
>>>         Sent from my Samsung Galaxy smartphone.
>>>
>>>         -------- Original message --------
>>>         From: "Greve, Douglas N.,Ph.D." 
>>> <dgr...@mgh.harvard.edu<mailto:dgr...@mgh.harvard.edu>>
>>>         <mailto:dgr...@mgh.harvard.edu<mailto:dgr...@mgh.harvard.edu>>
>>>         Date: 2019-08-05 15:52 (GMT-05:00)
>>>         To: 
>>> freesurfer@nmr.mgh.harvard.edu<mailto:freesurfer@nmr.mgh.harvard.edu>
>>>         
>>> <mailto:freesurfer@nmr.mgh.harvard.edu<mailto:freesurfer@nmr.mgh.harvard.edu>>
>>>         Subject: Re: [Freesurfer] Fwd: multimodal analysis (pet and
>>>         cortical thickness relationship) using --pvr
>>>
>>>         Yes, that contrast is correct.
>>>
>>>         On 8/5/2019 3:11 PM, miracle ozzoude wrote:
>>>>
>>>>                 External Email - Use Caution
>>>>
>>>>         Hello Doug,
>>>>
>>>>         Thanks very much for your help. Your assumption was right
>>>>         in that i want to run a group comparison (i.e. test for a
>>>>         difference in amyloid-thickness slopes between the two
>>>>         groups). However, I am having a hard time creating the
>>>>         correct mri_glmfit and contrasts in this case. Based on
>>>>         your advice and searching through the forum
>>>>         
>>>> (https://mail.nmr.mgh.harvard.edu/pipermail/freesurfer/2019-January/060029.html),
>>>>  i
>>>>         need 2 PVRs for each hemisphere in the mri_glmfit command.
>>>>         I gave it another shot below. Please let me know if i am
>>>>         correct.
>>>>
>>>>         Thank you.
>>>>         Paul.
>>>>
>>>>         ## group1 comes first in my fsgd file. removing the effects
>>>>         of age and education
>>>>         ##amyloid-thickness. first pet pvr = 1 for group1 and 0 for
>>>>         group 2.
>>>>         mri_glmfit --y lh_pvr_grp1_thickness.mgh --fsgd
>>>>         project.fsgd dods --c pvr1.mtx --pvr lh.pvr_grp1_pet.nii.gz \
>>>>         --pvr allgrp2.lhmgxctx.fsaverage.sm05.zero.nii.gz  -surf
>>>>         fsaverage lh --cortex --glmdir lh.pet.thickness.glmdir
>>>>         mri_glmfit --y rh_pvr_grp1_thickness.mgh --fsgd
>>>>         project.fsgd dods --c pvr1.mtx --pvr rh.pvr_grp1_pet.nii.gz \
>>>>         --pvr allgrp2.rhmgxctx.fsaverage.sm05.zero.nii.gz -surf
>>>>         fsaverage lh --cortex --glmdir rh.pet.thickness.glmdir
>>>>
>>>>         contrast =  0 0 0 0 0 0 1 -1
>>>>
>>>>         ##group 2 is second in my fsgd file. removing the effects
>>>>         of age and education
>>>>         ##amyloid-thickness. first pet pvr = 0 for group1 and 1 for
>>>>         group2
>>>>          mri_glmfit --y lh_pvr_grp2_thickness.mgh --fsgd
>>>>         project.fsgd dods --c pvr2.mtx --pvr
>>>>         allgrp1.lhmgxctx.fsaverage.sm05.zero.nii.gz \
>>>>         --pvr lh.pvr_grp2_pet.nii.gz -surf fsaverage lh --cortex
>>>>         --glmdir rh.pet.thickness.glmdir
>>>>         mri_glmfit --y rh_pvr_grp2_thickness.mgh --fsgd
>>>>         project.fsgd dods --c pvr2.mtx --pvr
>>>>         allgrp1.rhmgxctx.fsaverage.sm05.zero.nii.gz \
>>>>         --pvr rh.pvr_grp2_pet.nii.gz -surf fsaverage lh --cortex
>>>>         --glmdir rh.pet.thickness.glmdir
>>>>
>>>>         contrast = 0 0 0 0 0 0 -1 1
>>>>
>>>>
>>>>         On Mon, Aug 5, 2019 at 12:26 PM Greve, Douglas N.,Ph.D.
>>>>         <dgr...@mgh.harvard.edu<mailto:dgr...@mgh.harvard.edu> 
>>>> <mailto:dgr...@mgh.harvard.edu<mailto:dgr...@mgh.harvard.edu>>> wrote:
>>>>
>>>>             That  mostly looks good.
>>>>
>>>>             I would suggest is to change your smoothing command to
>>>>             something like
>>>>             mris_fwhm --smooth-only --s fsaverage --hemi lh --fwhm
>>>>             5 --cortex --prune --i
>>>>             allgrp1.rlhmgxctx.fsaverage.sm00.nii.gz
>>>>             allgrp1.lhmgxctx.fsaverage.sm05.nii.gz
>>>>             The only difference will be that any vertices that are
>>>>             0 in the input will be excluded (pruned) from the
>>>>             smoothing mask.
>>>>
>>>>             The mri_glmfit command is not right. That command looks
>>>>             like it is for analyzing each group separately and
>>>>             independently. If that is what you want to do, then you
>>>>             don't need to go through all the extra stuff of
>>>>             creating zero files, etc. I had assumed that you wanted
>>>>             to do some kind of comparison between groups. If so,
>>>>             then you would use a single file with all your data in
>>>>             it (probably what you were using before), and your fsgd
>>>>             file would have both groups.
>>>>
>>>>             1) will my fsgd file contain both groups?
>>>>             yes, see above
>>>>             2) If the answer from question is yes, i should have 2
>>>>             contrasts (pvr1.mtx for group1 and pvr2.mtx for
>>>>             group2). yes/no?
>>>>             Again, if all you want to do is to test the pvr for
>>>>             each group separately, then you don't need to go
>>>>             through the processes of creating zero files, etc. In
>>>>             any event, if you want to test a pvr, then you need a
>>>>             contrast for it.
>>>>             3) below is a sample of my fsgd file. are the
>>>>             constrasts correct?
>>>>             hard to say without resolving the questions above. You
>>>>             will need to have a value in the contrast for each pvr.
>>>>
>>>>
>>>>
>>>>             On 8/2/2019 3:56 PM, miracle ozzoude wrote:
>>>>>
>>>>>                     External Email - Use Caution
>>>>>
>>>>>             Hello Doug,
>>>>>
>>>>>             Thanks for answering. Based on your explanation, i
>>>>>             wrote out a series of command needed to execute this.
>>>>>             Please let me know if i made any mistakes/correct.
>>>>>             ##step1 concatenating the 10 amyloid pet volumes files
>>>>>             projected to surface using mri_vol2surf for group1
>>>>>             mri_concat --f grp1.lhmgxctx --o
>>>>>             allgrp1.lhmgxctx.fsaverage.sm00.nii.gz --prune
>>>>>             mri_concat --f grp2.rhmgxctx --o
>>>>>             allgrp1.rhmgxctx.fsaverage.sm00.nii.gz --prune
>>>>>
>>>>>             ##step2 concatenating the 20 amyloid pet volumes files
>>>>>             projected to surface using mri_vol2surf for group2
>>>>>             mri_concat --f grp2.lhmgxctx --o
>>>>>             allgrp2.lhmgxctx.fsaverage.sm00.nii.gz --prune
>>>>>             mri_concat --f grp2.rhmgxctx --o
>>>>>             allgrp2.rhmgxctx.fsaverage.sm00.nii.gz --prune
>>>>>
>>>>>             ##step3 smooth on the surface for each hemisphere for
>>>>>             group1
>>>>>             mri_surf2surf --hemi lh --s fsaverage --sval
>>>>>             allgrp1.lhmgxctx.fsaverage.sm00.nii.gz --fwhm 5
>>>>>             --cortex --tval allgrp1.lhmgxctx.fsaverage.sm05.nii.gz
>>>>>             mri_surf2surf --hemi rh --s fsaverage --sval
>>>>>             allgrp1.rlhmgxctx.fsaverage.sm00.nii.gz --fwhm 5
>>>>>             --cortex --tval allgrp1.rhmgxctx.fsaverage.sm05.nii.gz
>>>>>
>>>>>             ##step4 smooth on the surface for each hemisphere for
>>>>>             group2
>>>>>             mri_surf2surf --hemi lh --s fsaverage --sval
>>>>>             allgrp2.lhmgxctx.fsaverage.sm00.nii.gz --fwhm 5
>>>>>             --cortex --tval allgrp2.lhmgxctx.fsaverage.sm05.nii.gz
>>>>>             mri_surf2surf --hemi rh --s fsaverage --sval
>>>>>             allgrp2.rlhmgxctx.fsaverage.sm00.nii.gz --fwhm 5
>>>>>             --cortex --tval allgrp2.rhmgxctx.fsaverage.sm05.nii.gz
>>>>>
>>>>>             ##step5 create files of zeros for group1 for each
>>>>>             hemisphere
>>>>>             fscalc allgrp1.lhmgxctx.fsaverage.sm05.nii.gz mul 0 -o
>>>>>             allgrp1.lhmgxctx.fsaverage.sm05.zero.nii.gz
>>>>>             fscalc allgrp1.rhmgxctx.fsaverage.sm05.nii.gz mul 0 -o
>>>>>             allgrp1.rhmgxctx.fsaverage.sm05.zero.nii.gz
>>>>>
>>>>>              ##step6 create files of zeros for group2 for each
>>>>>             hemisphere
>>>>>             fscalc allgrp2.lhmgxctx.fsaverage.sm05.nii.gz mul 0 -o
>>>>>             allgrp2.lhmgxctx.fsaverage.sm05.zero.nii.gz
>>>>>             fscalc allgrp2.rhmgxctx.fsaverage.sm05.nii.gz mul 0 -o
>>>>>             allgrp2.rhmgxctx.fsaverage.sm05.zero.nii.gz
>>>>>
>>>>>             ##step7 create pvr files for group1 for each hemisphere
>>>>>             mri_concat allgrp1.lhmgxctx.fsaverage.sm05.nii.gz
>>>>>             allgrp2.lhmgxctx.fsaverage.sm05.zero.nii.gz --o
>>>>>             lh.pvr_grp1_pet.nii.gz
>>>>>             mri_concat allgrp1.rhmgxctx.fsaverage.sm05.nii.gz
>>>>>             allgrp2.rhmgxctx.fsaverage.sm05.zero.nii.gz --o
>>>>>             rh.pvr_grp1_pet.nii.gz
>>>>>
>>>>>             ##step8 create pvr files for group2 for each hemisphere
>>>>>             mri_concat allgrp1.lhmgxctx.fsaverage.sm05.zero.nii.gz
>>>>>             allgrp2.lhmgxctx.fsaverage.sm05.nii.gz --o
>>>>>             lh.pvr_grp2_pet.nii.gz
>>>>>             mri_concat allgrp1.rhmgxctx.fsaverage.sm05.zero.nii.gz
>>>>>             allgrp2.rhmgxctx.fsaverage.sm05.nii.gz --o
>>>>>             rh.pvr_grp2_pet.nii.gz
>>>>>
>>>>>             ###-----repeat steps 1-8  for cortical thickness-------
>>>>>
>>>>>             ###run glm-fit for group1
>>>>>             mri_glmfit --y lh.pvr_grp1_pet.nii.gz --fsgd
>>>>>             project.fsgd dods --c pvr1.mtx --pvr
>>>>>             lh_pvr_grp1_thickness.mgh --surf fsaverage lh --cortex
>>>>>             --glmdir lh.grp1.pet.thickness.glmdir
>>>>>             mri_glmfit --y rh.pvr_grp1_pet.nii.gz --fsgd
>>>>>             project.fsgd dods --c pvr1.mtx --pvr
>>>>>             rh_pvr_grp1_thickness.mgh --surf fsaverage lh --cortex
>>>>>             --glmdir rh.grp1.pet.thickness.glmdir
>>>>>
>>>>>             ###run glm-fit for group2
>>>>>             mri_glmfit --y lh.pvr_grp2_pet.nii.gz --fsgd
>>>>>             project.fsgd dods --c pvr2.mtx --pvr
>>>>>             lh_pvr_grp2_thickness.mgh --surf fsaverage lh --cortex
>>>>>             --glmdir lh.grp2.pet.thickness.glmdir
>>>>>             mri_glmfit --y rh.pvr_grp2_pet.nii.gz --fsgd
>>>>>             project.fsgd dods --c pvr2.mtx --pvr
>>>>>             rh_pvr_grp2_thickness.mgh --surf fsaverage lh --cortex
>>>>>             --glmdir rh.grp2.pet.thickness.glmdir
>>>>>
>>>>>             My questions.
>>>>>             1) will my fsgd file contain both groups?
>>>>>             2) If the answer from question is yes, i should have 2
>>>>>             contrasts (pvr1.mtx for group1 and pvr2.mtx for
>>>>>             group2). yes/no?
>>>>>             3) below is a sample of my fsgd file. are the
>>>>>             constrasts correct?
>>>>>
>>>>>             Thank you very much.
>>>>>             Paul.
>>>>>             The fsgd file lists:
>>>>>             -------------------------------------------------------------
>>>>>             GroupDescriptorFile 1
>>>>>             Title Relationship Amy-thick reg out age and education
>>>>>             Class g1
>>>>>             Class g2
>>>>>             Variable Age Education
>>>>>             Input XX1 g1 60 16
>>>>>             Input YY1 g2 62 20
>>>>>             -------------------------------------------------------------
>>>>>             matrix for group1:
>>>>>             pvr1.mtx= 1 0 0 0 0 0 0
>>>>>             is there a relationship between amyloid-thickness in group1 
>>>>> regressing out age
>>>>>             and education?
>>>>>             matrix for group2:
>>>>>             pvr2.mtx= 0 1 0 0 0 0 0
>>>>>             is there a relationship between amyloid-thickness in group2 
>>>>> regressing out age
>>>>>             and education?
>>>>>
>>>>>             On Thu, Aug 1, 2019 at 9:44 PM Greve, Douglas N.,Ph.D.
>>>>>             <dgr...@mgh.harvard.edu<mailto:dgr...@mgh.harvard.edu>
>>>>>             
>>>>> <mailto:dgr...@mgh.harvard.edu<mailto:dgr...@mgh.harvard.edu>>> wrote:
>>>>>
>>>>>                 Each PVR adds a single column to the design
>>>>>                 matrix. In a two group design, this can make it
>>>>>                 tricky to set up. Let's say you have 10 of group1
>>>>>                 and 20 of group2. You will need to create two PVR
>>>>>                 files, each with 30=10+20 frames. In the first
>>>>>                 one, the first 10 frames will be cortical
>>>>>                 thickness (or amyloid sampled on the surface) of
>>>>>                 group1; the next 20 frames will be all zeros. For
>>>>>                 the 2nd PVR, the first 10 frames will be 0s and
>>>>>                 the next 20 frames will be the cortical thickness
>>>>>                 (or amyloid) for group2. I would start by running
>>>>>                 mris_preproc for the two groups separate (so 2
>>>>>                 files, one with 10 frames the other 20 frames).
>>>>>                 Then create the file of zeros using
>>>>>                 fscalc group2.mgz mul 0 -o group2.zeros.mgz
>>>>>                 Then
>>>>>                 mri_concat group1.mgz group2.zeros.mgz --o pvr1.mgz
>>>>>                 Then create the contrast based on the FSGD, but
>>>>>                 then add two more numbers, one for PVR1 (which
>>>>>                 tests for the within group correlation), and one
>>>>>                 for PVR2
>>>>>
>>>>>
>>>>>                 On 8/1/2019 3:14 PM, miracle ozzoude wrote:
>>>>>>
>>>>>>                         External Email - Use Caution
>>>>>>
>>>>>>                 Please, can anyone help me with this.
>>>>>>                 Thank you
>>>>>>
>>>>>>                 Paul
>>>>>>
>>>>>>                 ---------- Forwarded message ---------
>>>>>>                 From: *miracle ozzoude* 
>>>>>> <miracoo...@gmail.com<mailto:miracoo...@gmail.com>
>>>>>>                 
>>>>>> <mailto:miracoo...@gmail.com<mailto:miracoo...@gmail.com>>>
>>>>>>                 Date: Wed, Jul 31, 2019 at 2:11 PM
>>>>>>                 Subject: multimodal analysis (pet and cortical
>>>>>>                 thickness relationship) using --pvr
>>>>>>                 To: Douglas N Greve
>>>>>>                 
>>>>>> <freesurfer@nmr.mgh.harvard.edu<mailto:freesurfer@nmr.mgh.harvard.edu>
>>>>>>                 
>>>>>> <mailto:freesurfer@nmr.mgh.harvard.edu<mailto:freesurfer@nmr.mgh.harvard.edu>>>
>>>>>>
>>>>>>
>>>>>>                 Hello Experts,
>>>>>>
>>>>>>                 I am performing an analysis looking at the
>>>>>>                 relationship between amyloid uptake and cortical
>>>>>>                 thickness using --pvr flag in mri_glmfit. I've 2
>>>>>>                 groups and 2 variables (age and education). I
>>>>>>                 want to run a within group analysis while
>>>>>>                 regressing out age and education (i.e. Within
>>>>>>                 group 1, is there a negative relationship between
>>>>>>                 amyloid uptake and cortical thickness  regressing
>>>>>>                 out the effects of age and education).
>>>>>>
>>>>>>                 However, i'm not sure how my pvr contrasts will
>>>>>>                 look like. Below are my fsgd and an attempt at
>>>>>>                 creating contrasts. Please, can you let me know
>>>>>>                 if my contrasts are correct based on my questions.
>>>>>>
>>>>>>                 Thank you.
>>>>>>
>>>>>>                 Best,
>>>>>>                 Paul
>>>>>>
>>>>>>                 The fsgd file lists:
>>>>>>                 
>>>>>> -------------------------------------------------------------
>>>>>>                 GroupDescriptorFile 1
>>>>>>                 Title Relationship Amy-thick reg out age and education
>>>>>>                 Class g1
>>>>>>                 Class g2
>>>>>>                 Variable Age Education
>>>>>>                 Input XX1 g1 60 16
>>>>>>                 Input XX2 g1 58 14
>>>>>>                 Input YY1 g2 62 20
>>>>>>                 Input YY1 g2 62 20
>>>>>>                 
>>>>>> -------------------------------------------------------------
>>>>>>                 matrix for group1:
>>>>>>                 pvrgroup1= 1 0 0 0 0 0 0
>>>>>>                 is there a relationship between amyloid-thickness in 
>>>>>> group1 regressing out age
>>>>>>                 and education?
>>>>>>                 matrix for group2:
>>>>>>                 pvrgroup2= 0 1 0 0 0 0 0
>>>>>>                 is there a relationship between amyloid-thickness in 
>>>>>> group2 regressing out age
>>>>>>                 and education?
>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>>                 _______________________________________________
>>>>>>                 Freesurfer mailing list
>>>>>>                 
>>>>>> Freesurfer@nmr.mgh.harvard.edu<mailto:Freesurfer@nmr.mgh.harvard.edu>  
>>>>>> <mailto:Freesurfer@nmr.mgh.harvard.edu<mailto:Freesurfer@nmr.mgh.harvard.edu>>
>>>>>>                 
>>>>>> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
>>>>>
>>>>>                 _______________________________________________
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>>>>>                 
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>>>>>                 
>>>>> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
>>>>>
>>>>>
>>>>>             _______________________________________________
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>>>>
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