Hi Alex,
we don't have an elegant solution to this, but you can do it in matlab 
easily enough. If your data D are in a N-by-327684 matrix (I assume that 
this is left and right hemis), then

a.vol = permute(D(:,1:163842),[2 3 4 1]);
MRIwrite(a,'lh.yourdata.mgh');

b.vol = permute(D(:,163843:end),[2 3 4 1]);
MRIwrite(b,'rh.yourdata.mgh');

doug




Alexander Lebedev wrote:
> Excuse me for disturbing Douglas,
>
> The matter is that I have the coefficients for each vertex and I would 
> like to find the easiest way to display them into the brain space, 
> showing their importance for the classification.  My original ascii 
> file contains N-by-327684 matrix (N subjects, 327 684 vertices - 163 
> 842 for each hemisphere). But I can easily change it if necessary... 
> I'm just wondering if there is a way to do this... I'm asking because 
> it seems like "y.mgh -> y.asc" (mri_convert y.mgh y.ascii --ascii) 
> conversion is available only one-way.
> ---
> Regards,
> Alex
>
>
> * Alexander Lebedev <awl...@rambler.ru> [Fri, 27 Jan 2012 10:07:11 
> +0400]:
>> Yes, sorry...
>> ---
>> Alex
>>
>> > Hi Alex, I'm not sure I understand what you mean. Do you mean that 
> you
>> > have a coefficient for each vertex and you want to display your
>> results
>> > on a surface and need to get them into a format that FS can read?
>> > doug
>> >
>> > Alexander Lebedev wrote:
>> > > Yes, thanks a lot Douglas! That's what I was looking for. And it's
>> > > much easier than my approach... I needed to extract the vertices 
> in
>> > > order to perform a multivariate analysis in R. May I also ask
>> another
>> > > question then? I have performed pls-regression and would like to 
> map
>> > > the coefficients into the brain space... Is there such an
>> opportunity
>> > > (at least theoretically speaking) ?
>> > > ---
>> > > Regards,
>> > > Alex
>> > >
>> > >
>
>

-- 
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
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