<html><head></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">Hi Gregor,<div><br></div><div>To follow up on this: I guess what Jörn meant is that you could use the irregular 3D grids, as the target grids onto which the surface data will be interpolated. This makes the interpolated 3D-grid data directly averageable.</div><div><br></div><div>JM</div><div><br><div><div>On Mar 5, 2013, at 9:03 AM, Gregor Volberg wrote:</div><br class="Apple-interchange-newline"><blockquote type="cite">
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<font size="2" face="Dialog">Hi Jörn,</font> </div>
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<font size="2" face="Dialog">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.</font> </div>
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<font size="2" face="Dialog">Thanks again,</font> </div><div style="margin-top: 0px; margin-bottom: 0px; ">
<font size="2" face="Dialog">Gregor</font> </div>
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<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><br><br></font>>>> "Jörn M. Horschig"<<a href="mailto:jm.horschig@donders.ru.nl">jm.horschig@donders.ru.nl</a>> 3/4/2013 10:01 PM >>><br> </div>
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Hi Gregor,<br><br>would there be any reason why the following approach might not work?<br><a class="moz-txt-link-freetext" href="http://fieldtrip.fcdonders.nl/example/create_single-subject_grids_in_individual_head_space_that_are_all_aligned_in_mni_space?s">http://fieldtrip.fcdonders.nl/example/create_single-subject_grids_in_individual_head_space_that_are_all_aligned_in_mni_space?s</a>[]=warp<br><br>The specific steps are in more detail explained in this (new) tutorial:<br><a class="moz-txt-link-freetext" href="http://fieldtrip.fcdonders.nl/development/beamformingextended">http://fieldtrip.fcdonders.nl/development/beamformingextended</a><br><br>Best,<br>Jörn<br><br>On 3/4/2013 6:45 PM, Gregor Volberg wrote:<br> </div>
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Dear Fieldtrippers, </div>
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I need to ask for a helpful hint on MNE source reconstructions. Following this tutorial <a moz-do-not-send="true" 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>
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Is there a way to do a normalisation directly on brain triangulations / source grids ? Thanks for any help! </div>
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Best regards, </div>
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Gregor </div>
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--<br>Dr. rer. nat. Gregor Volberg <<a moz-do-not-send="true" href="mailto:gregor.volberg@psychologie.uni-regensburg.de">gregor.volberg@psychologie.uni-regensburg.de</a>> ( <a moz-do-not-send="true" 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 moz-do-not-send="true" 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>
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-- </div><div style="margin-top: 0px; margin-bottom: 0px; white-space: pre; ">
Jörn M. Horschig</div><div style="margin-top: 0px; margin-bottom: 0px; white-space: pre; ">
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