[FieldTrip] Antw: Re: MNE surface data: normalising and averaging?

[Gregor Volberg]

Hi Jörn, 

thank you for your fast response! I wasn't aware that this approach also works
with irregularly spaced surface grids as input. I will try it this way. 

Thanks again, 
Gregor 




-- 
Dr. rer. nat. Gregor Volberg <gregor.volberg at psychologie.uni-regensburg.de> (
mailto:gregor.volberg at psychologie.uni-regensburg.de )
University of Regensburg
Institute for Experimental Psychology
93040 Regensburg, Germany
Tel: +49 941 943 3862 
Fax: +49 941 943 3233
http://www.psychologie.uni-regensburg.de/Greenlee/team/volberg/volberg.html


>>> "Jörn M. Horschig"<jm.horschig at donders.ru.nl> 3/4/2013 10:01 PM >>>

Hi Gregor,

would there be any reason why the following approach might not work?
http://fieldtrip.fcdonders.nl/example/create_single-subject_grids_in_individual_head_space_that_are_all_aligned_in_mni_space?s[]=warp

The specific steps are in more detail explained in this (new) tutorial:
http://fieldtrip.fcdonders.nl/development/beamformingextended

Best,
Jörn

On 3/4/2013 6:45 PM, Gregor Volberg wrote:



Dear Fieldtrippers, 

  

I need to ask for a helpful hint on MNE source reconstructions. Following this
tutorial http://fieldtrip.fcdonders.nl/tutorial/minimumnormestimate I obtained
nice individual cortical meshes and source points; the MNE forward and inverse
solution for the individuals all work well. I would now like to normalize the
individual grids to a template brain in order to do statistics and averaging
for plotting. I figured out that I could use ft_sourceinterpolate to tranform
the grid into a volumetric representation, and then use ft_volumenormalise to
normalise to a standard brain.  But this did not work too well for source
structures containing time series (like 'mne'-stcutures) where the
computational load gets very high. I also tried to use a grid of one subject as
a template for the other subject's grids with ft_sourceinterpolate and
cfg.interpmethod = 'smudge', but this seems to require two grids with the same
number of source points as input(?). 

Is there a way to do a normalisation directly on brain triangulations / source
grids ? Thanks for any help! 

Best regards, 

Gregor    

  

--
Dr. rer. nat. Gregor Volberg <gregor.volberg at psychologie.uni-regensburg.de> (
mailto:gregor.volberg at psychologie.uni-regensburg.de )
University of Regensburg
Institute for Experimental Psychology
93040 Regensburg, Germany
Tel: +49 941 943 3862
Fax: +49 941 943 3233
http://www.psychologie.uni-regensburg.de/Greenlee/team/volberg/volberg.html




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-- 
Jörn M. Horschig
PhD Student
Donders Institute for Brain, Cognition and Behaviour 
Centre for Cognitive Neuroimaging
Radboud University Nijmegen 
Neuronal Oscillations Group
FieldTrip Development Team

P.O. Box 9101
NL-6500 HB Nijmegen
The Netherlands

Contact:
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