[FieldTrip] MNE surface data: normalising and averaging?

[Gregor Volberg]

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
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.science.ru.nl/pipermail/fieldtrip/attachments/20130304/0378541a/attachment.html>