Sorry, one more iteration:

1) Command "mri_annotation2label --subject 01 --hemi lh --aparc.a2009s
--outdir $SUBJECTS_DIR/01/myLabelsDestrieux" doesn't recognise the
aparc.2009s flag (I tried a few other variations with no luck)!

1') Assuming the above command works and I get .label files corresponding
to all Destrieux structures, what is the exact call to mri_glmfit that will
do the two contrasts I mentioned (group comparison of CT, and comparison of
CT-behaviour correlation)?

1'') How should the design matrix & contrast files (arguments for calling
mri_glmfit) be created, for these analyses?

2) ..so when would I use a mask, in a ROI analysis, as opposed to a label?

3) I'm still not sure as to the answer to my question: regardless of what
space I do it in, does it pay off to create the label/mask that I"ll use in
the ROI analysis *manually *for each individual subject (i.e. taking into
account individual anatomy), as opposed to just taking it from an atlas and
using *the same *label/mask with *all *subjects?

4) Bingo - this creates an image as I wanted, but now the mouse cursor no
longer tells me the structure above which I hover the mouse (so a legend to
each color, much like in Fig 1 of the Desikan paper)

I really appreciate your patience Doug, thanks :)
Tudor

On 8 May 2013 18:56, Douglas N Greve <gr...@nmr.mgh.harvard.edu> wrote:

>
> On 05/08/2013 01:28 PM, Tudor Popescu wrote:
>
>>
>>         2) ..and when would you use a surface mask versus a surface label?
>>
>>     It is just a matter of convenience.
>>
>> Sorry, I meant I don't really understand what the difference is between a
>> label and a mask, and in which circumstances each should be used. I tried
>> finding an answer on the wiki but no luck..
>>
> A label is a text file with a list of points in the label. A mask is
> binary file (eg, mgh or nii) with 1s where the mask is and 0s otherwise.
>
>
>>         3) (it seems you skipped over this one:) )
>>
>>     Sorry:) what are you going to do with the ROI?
>>
>> Use it mri_glmfit, in order to compare cortical thickness in that ROI
>> between groups, and also (in a different design) to compare the
>> correlations between thickness and a behavioural predictor
>>
> If you're doing the final analysis in the group space, then just use the
> ROI in the group space.
>
>>
>>         4) This opens up a coronal slice rather than a 3D image as in
>>         the picture I linked to. Do I need to do anything else in
>>         tkmedit after it opens? (I tried pressing some buttons, and
>>         some menu options, with no luck)
>>
>>     that was generated with tksurfer, something like tksurfer subject
>>     lh pial -aparc
>>
>> Using that command, I get a brain <http://www.4shared.com/photo/**
>> sRcnX93M/8-05-2013_18-25-04.**html<http://www.4shared.com/photo/sRcnX93M/8-05-2013_18-25-04.html>>
>> that has only little of its surface coloured, unlike the image <
>> http://brainybehavior.com/**neuroimaging/wp-content/**
>> uploads/2010/05/jt_rh_pial_**freesurfer_tksurfer.png<http://brainybehavior.com/neuroimaging/wp-content/uploads/2010/05/jt_rh_pial_freesurfer_tksurfer.png>>
>> that I linked to, in which it seems each major structure is identified in
>> its own colour, and these colours fill up the entire brain (there's no grey
>> surface left)
>>
> Change the annotation mode to be filled instead of outline mode. In the
> tksurfer control window, it is the 4th button from the right on the top
> row. It will say "Draw Filled Labels" when you put the mouse over it
>
>>
>>
>>
>>         On 8 May 2013 16:54, Douglas N Greve
>>         <gr...@nmr.mgh.harvard.edu 
>> <mailto:gr...@nmr.mgh.harvard.**edu<gr...@nmr.mgh.harvard.edu>
>> >
>>         <mailto:gr...@nmr.mgh.harvard.**edu <gr...@nmr.mgh.harvard.edu>
>>
>>         <mailto:gr...@nmr.mgh.harvard.**edu <gr...@nmr.mgh.harvard.edu>>>>
>> wrote:
>>
>>
>>             On 05/08/2013 11:43 AM, Tudor Popescu wrote:
>>             > Hello all,
>>             >
>>             > I have some more burning questions, for which I thank you in
>>             advance!!
>>             >
>>             > 1) I expected that "mri_annotation2label --subject 01
>>         --hemi lh
>>             > --outdir $SUBJECTS_DIR/myLabels" would give me labels
>>             corresponding to
>>             > structures of the standard FreeSurfer atlas (Destrieux),
>>         instead it
>>             > produced labels with completely different names, e.g.
>>             > "lh.postcentral.label" instead of the Destrieux name
>>             > "lh_S_postcentral". Exactly how different are they, and
>>         which ones
>>             > should be used in mri_glmfit for ROI analyses?
>>             That is the Desikan/Killiany atlas it uses by default.
>>         Tell it to use
>>             aparc.a2009s to get Destrieux
>>             >
>>             > 2) Does it make sense to use mri_glmfit with volumetric
>>         masks, or
>>             > should it only be used with labels?
>>             If you are analyzing surface data you have to give it a
>>         surface
>>             mask or
>>             a surface label.
>>             >
>>             > 3) Say I want to do a ROI analysis for a particular
>>         brain structure;
>>             > how much is there to gain by manually (visually) creating a
>>             label/mask
>>             > for that structure in each subject (i.e. taking into account
>>             > individual anatomy), as opposed to just using an atlas
>>         to create a
>>             > single label/mask for use with all subjects?
>>             >
>>             > 4) I used the command "tkmedit 01 aparc+aseg.mgz" (I
>>         also tried
>>             adding
>>             > " -aux brainmask.mgz -surfs –aseg"), thinking that it would
>>             display an
>>             > image like this
>>             >
>>                    <http://brainybehavior.com/**neuroimaging/wp-content/*
>> *uploads/2010/05/jt_rh_pial_**freesurfer_tksurfer.png<http://brainybehavior.com/neuroimaging/wp-content/uploads/2010/05/jt_rh_pial_freesurfer_tksurfer.png>
>> >,
>>             > i.e. with all the main cortical structures displayed in
>>         different
>>             > colours. Does aparc+aseg.mgz not contain all the necessary
>>             information
>>             > to produce such an image?
>>             try tkmedit subject orig.mgz -seg aparc+aseg.mgz
>>             >
>>             > 5) Which mask file corresponds to the brain extraction
>>         procedure of
>>             > recon-all? I see that a subject's /mri/brainmask.mgz is
>>         not a binary
>>             > map, as expectd, but instead a BETted (skull-stripped)
>>         version
>>             of that
>>             > subject's structural.
>>             We don't create a binary mask. You can with mri_binarize --i
>>             brainmask.mgz --min 0.5 --o binarymask.mgz
>>
>>             doug
>>             >
>>             > Thank you so much for your help!
>>             > Tudor
>>             >
>>             >
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>>             MGH-NMR Center
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>>
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> --
> Douglas N. Greve, Ph.D.
> MGH-NMR Center
> gr...@nmr.mgh.harvard.edu
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