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Hi Conny,<br class="">
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<div class="">You are a bit short on the details, so it is hard to give to-the-point feedback.</div>
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<div class="">@1 this depends on the type of connectivity metric you have in mind. You mention the ‘cfg.refindx’ so I assume that you want to use ft_connectivityanalysis. Also, do you use ‘parcellated’ source data, or is the data defined on individual dipole
positions?</div>
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<div class="">@2 this works best if your individual subject source models can be easily compared, e.g. according to </div>
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<div class=""><a href="http://www.fieldtriptoolbox.org/tutorial/sourcemodel#performing_group_analysis_on_3-dimensional_source-reconstructed_data" class="">http://www.fieldtriptoolbox.org/tutorial/sourcemodel#performing_group_analysis_on_3-dimensional_source-reconstructed_data</a></div>
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<div class="">This allows for averaging/statistics at the low-number-of-sources (before interpolation) and saves a lot of memory.</div>
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<div class="">Best wishes,</div>
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<div class="">Jan-Mathijs</div>
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<div class="">On 23 Oct 2018, at 00:18, Quaedflieg, Conny (PSYCHOLOGY) <<a href="mailto:conny.quaedflieg@maastrichtuniversity.nl" class="">conny.quaedflieg@maastrichtuniversity.nl</a>> wrote:</div>
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<a name="OLE_LINK1" class=""><span style="font-family: Tahoma, sans-serif;" class="">Dear Fieldtripers,<o:p class=""></o:p></span></a></div>
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<span class=""><span style="font-family: Tahoma, sans-serif;" class=""><o:p class=""> </o:p></span></span></div>
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<span class=""><span lang="EN-GB" style="font-family: Tahoma, sans-serif;" class="">I’m trying to compare 2 groups (n=40 per group) on SOURCE connectivity data using a seed (based on an atlas).<o:p class=""></o:p></span></span></div>
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<span class=""><span lang="EN-GB" style="font-family: Tahoma, sans-serif;" class="">Based on the help function this should be possible using<span class="Apple-converted-space"> </span><span style="" class="">cfg.refindx.<span class="Apple-converted-space"> </span><o:p class=""></o:p></span></span></span></div>
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<span class=""><span lang="EN-GB" style="font-family: Tahoma, sans-serif;" class=""><o:p class=""> </o:p></span></span></div>
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<span class=""><span lang="EN-GB" style="font-family: Tahoma, sans-serif;" class="">Though, the analysis looks exactly the same with and without the refindx specified.<o:p class=""></o:p></span></span></div>
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<span class=""><span lang="EN-GB" style="font-family: Tahoma, sans-serif;" class=""><o:p class=""> </o:p></span></span></div>
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<span class=""><span lang="EN-GB" style="font-family: Tahoma, sans-serif;" class="">I would be really grateful with help on the following<o:p class=""></o:p></span></span></div>
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<span class=""><span lang="EN-GB" style="font-family: Tahoma, sans-serif;" class="">Ideas how to run a seed based source analysis</span></span><span class=""><span lang="EN-GB" style="font-family: Tahoma, sans-serif;" class=""><o:p class=""></o:p></span></span></li><li class="MsoListParagraphCxSpMiddle" style="margin: 0cm 0cm 0.0001pt; line-height: normal; font-size: 11pt; font-family: Calibri, sans-serif;">
<span class=""><span lang="EN-GB" style="font-family: Tahoma, sans-serif;" class="">How can I combine source data of several pp’s and plot the grand averages and run statistics over it?<o:p class=""></o:p></span></span></li></ol>
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<span class=""><span lang="EN-GB" style="font-family: Tahoma, sans-serif;" class="">I tried this with ft_sourcegandaverage though when interpolating the data to the MRI I get error messages that the data is too large and that it wil take too long.<o:p class=""></o:p></span></span></div>
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<span class=""><span lang="EN-GB" style="font-family: Tahoma, sans-serif;" class=""><o:p class=""> </o:p></span></span></div>
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<span class=""><span lang="EN-GB" style="font-family: Tahoma, sans-serif;" class="">Best<o:p class=""></o:p></span></span></div>
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<o:p class=""> </o:p></div>
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<span lang="EN-GB" class="">Conny Quaedflieg, PhD<o:p class=""></o:p></span></p>
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<span lang="EN-GB" style="color: rgb(127, 127, 127);" class="">Assistant Professor<br class="">
Department of Clinical Psychological Science<br class="">
Faculty of Psychology and Neuroscience<br class="">
UNS 40, Room A3731a<o:p class=""></o:p></span></div>
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<span style="color: rgb(127, 127, 127);" class="">043-883164<o:p class=""></o:p></span></div>
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