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> 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>> 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>> 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>
> >>>         Date: 2019-08-05 15:52 (GMT-05:00)
> >>>         To: 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>>
> 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>> 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>>
> >>>>>>                 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>>
> >>>>>>
> >>>>>>
> >>>>>>                 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?
> >>>>>>
> >>>>>>
> >>>>>>
> >>>>>>
> >>>>>>                 _______________________________________________
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> Freesurfer@nmr.mgh.harvard.edu>
> >>>>>>
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> >>>>>
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> >>>>>
> >>>>>
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