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</o:shapelayout></xml><![endif]--></head><body lang=NL link=blue vlink=purple><div class=WordSection1><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>Hi Emma,<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>I am unfamiliar with this type of error.<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>It seems however that you still have an inconsistency in your data. You define “data{i}.avg.pow”, but later on use “cfg.parameter = 'pow';”. You should change one of the two (e.g. use cfg.parameter = 'avg.pow';)<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>Hope that helps.<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>Stan<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'><o:p> </o:p></span></p><div style='border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0cm 0cm 0cm'><p class=MsoNormal><b><span lang=EN-US style='font-size:10.0pt;font-family:"Tahoma","sans-serif"'>From:</span></b><span lang=EN-US style='font-size:10.0pt;font-family:"Tahoma","sans-serif"'> Emma Holmes [mailto:eh776@york.ac.uk] <br><b>Sent:</b> maandag 3 november 2014 14:02<br><b>To:</b> fieldtrip@science.ru.nl<br><b>Cc:</b> s.vanpelt@fcdonders.ru.nl<br><b>Subject:</b> Spatio-temporal cluster-based permutation analysis on EEG sources<o:p></o:p></span></p></div><p class=MsoNormal><o:p> </o:p></p><div><div><div><p class=MsoNormal style='margin-bottom:12.0pt'>Hi Stan,<o:p></o:p></p></div><p class=MsoNormal style='margin-bottom:12.0pt'>Thanks for the suggestion.<o:p></o:p></p></div><p class=MsoNormal>When I try that, I get the following error<o:p></o:p></p><div><div><div><p class=MsoNormal style='margin-bottom:12.0pt'><br><span style='color:red'> ??? Error using ==> ft_datatype_source at 173<br> unsupported version "upcoming" for source datatype<br><br> Error in ==> ft_sourcegrandaverage at 82<br> varargin{i} = ft_datatype_source(varargin{i}, 'version', 'upcoming');</span><o:p></o:p></p></div><p class=MsoNormal>I am unsure why this occurs.<o:p></o:p></p></div><div><p class=MsoNormal style='margin-bottom:12.0pt'><br>My data is now structured in the following way:<br>data = <20x1 cell> % one cell array for each participant, n=20<br>data{i}.pos = [902629x3 double] % x,y,z positions<br>data{i}.dim = [91 109 91]<br>data{i}.time = [1 x 11 double] % vector of time points<br>data{i}.avg.pow = [902629 x 11 double] % source estimates<br><br>The following is the method I use:<br>cfg = [];<br>cfg.keepindividual = 'yes';<br>cfg.parameter = 'pow';<br>grandavgA = ft_sourcegrandaverage(cfg, data{:});<o:p></o:p></p></div><div><p class=MsoNormal>Best,<br>Emma<o:p></o:p></p></div><div><div><p class=MsoNormal><br><br>On 31 October 2014 16:02, Stan van Pelt<a href="mailto:fieldtrip%40science.ru.nl?Subject=Re%3A%20%5BFieldTrip%5D%20Spatio-temporal%20cluster-based%20permutation%20analysis%0A%09on%09EEG%20sources&In-Reply-To=%3C075001cff75a%245487d8a0%24fd9789e0%24%40vanpelt%40fcdonders.ru.nl%3E" title="[FieldTrip] Spatio-temporal cluster-based permutation analysis on EEG sources"><s.vanpelt@fcdonders.ru.nl> </a>wrote:<o:p></o:p></p><pre>> Hi Emma,<o:p></o:p></pre><pre>> <o:p></o:p></pre><pre>> <o:p></o:p></pre><pre>> <o:p></o:p></pre><pre>> Try using data{i}.avg.pow instead of data{i}.pow.avg<o:p></o:p></pre><pre>> <o:p></o:p></pre><pre>> <o:p></o:p></pre><pre>> <o:p></o:p></pre><pre>> (or use cfg.funparameter = 'pow.avg' instead of cfg.funparameter = <o:p></o:p></pre><pre>> 'avg.pow')<o:p></o:p></pre><pre>> <o:p></o:p></pre><pre>> <o:p></o:p></pre><pre>> <o:p></o:p></pre><pre>> Best,<o:p></o:p></pre><pre>> <o:p></o:p></pre><pre>> Stan<o:p></o:p></pre><p class=MsoNormal><o:p> </o:p></p></div></div></div></div></div></body></html>