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<DIV>Dear Fieldtrippers,</DIV>
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<DIV>I need to ask for a helpful hint on MNE source reconstructions. Following this tutorial <A href="http://fieldtrip.fcdonders.nl/tutorial/minimumnormestimate">http://fieldtrip.fcdonders.nl/tutorial/minimumnormestimate</A> 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(?).</DIV>
<DIV>Is there a way to do a normalisation directly on brain triangulations / source grids ? Thanks for any help!</DIV>
<DIV>Best regards,</DIV>
<DIV>Gregor </DIV>
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<DIV>-- <BR>Dr. rer. nat. Gregor Volberg <<A href="mailto:gregor.volberg@psychologie.uni-regensburg.de">gregor.volberg@psychologie.uni-regensburg.de</A>> ( <A href="mailto:gregor.volberg@psychologie.uni-regensburg.de">mailto:gregor.volberg@psychologie.uni-regensburg.de</A> )<BR>University of Regensburg<BR>Institute for Experimental Psychology<BR>93040 Regensburg, Germany<BR>Tel: +49 941 943 3862 <BR>Fax: +49 941 943 3233<BR><A href="http://www.psychologie.uni-regensburg.de/Greenlee/team/volberg/volberg.html">http://www.psychologie.uni-regensburg.de/Greenlee/team/volberg/volberg.html</A><BR></DIV></BODY></HTML>