[FieldTrip] ft_sourcestatistics startup memory problem

Stephen Whitmarsh stephen.whitmarsh at gmail.com
Tue Oct 23 10:06:49 CEST 2012


yes, that's the beauty of it!

On 23 October 2012 09:08, Johanna Zumer <johanna.zumer at donders.ru.nl> wrote:

> Hi Akiko,
>
> The .pos entries are (as expected) different for every subject due to
> the different coregistration of that subject to the standard MNI.
> However, the grid positions all originate from the same original
> MNI-based positions, and are in the same order.  Thus,
> d1group{1}.pos(1,:) corresponds to the template_grid.pos(1,:) and so
> forth.   You can substitue d1group{n}.pos=template_grid.pos for all
> subjects, and then call the stats function, and the results are now in
> the MNI template grid space.
>
> Cheers,
> Johanna
>
> 2012/10/22 Akiko Ikkai <akiko.ikkai at gmail.com>:
> > Hi Johanna,
> >
> > you are right! specifying cfg.grid = grid; was the key; ft_sourceanalysis
> > for each condition runs to the completion :)
> >
> > However, since my data is EEG and the electrode locations vary (hence the
> > grid coordinates vary) between subjects, running stats across subjects
> > without normalizing might be causing a problem. For example, the first 3
> > points in subject1's .pos are (after creating template grid etc.., and
> run
> > ft_sourceanalysis using MNI grid):
> >
> > d1group{1}.pos(1:3,:)
> > ans =
> >    -8.7000   -7.5000   -7.6000
> >    -7.7000   -7.5000   -7.6000
> >    -6.7000   -7.5000   -7.6000
> >
> > and the same points for the subject2's are:
> >
> > d1group{2}.pos(1:3,:)
> > ans =
> >    -8.3000   -7.6000   -8.2000
> >    -7.3000   -7.6000   -8.2000
> >    -6.3000   -7.6000   -8.2000
> >
> > So when I try to run ft_sourcestatistics. I get an error message:
> > ??? Error using ==> statistics_wrapper at 109
> > grid locations of the source reconstructions do not match, use
> > NORMALISEVOLUME
> > first
> >
> > Error in ==> ft_sourcestatistics at 100
> >     [stat, cfg] = statistics_wrapper(cfg, varargin{:});
> >
> > Perhaps I should interpolate and normalize each subject, and run group
> stats
> > afterall?
> >
> > Thanks! Akiko
> >
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