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</o:shapelayout></xml><![endif]--></head><body lang=HU link="#0563C1" vlink="#954F72" style='word-wrap:break-word'><div class=WordSection1><p class=MsoPlainText><span lang=EN-GB>Hi Jan,<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-GB>I had the same issue and developed a set of functions and a framework within <a href="https://github.com/automaticanalysis/automaticanalysis">Automatic Analysis (aa)</a>. The <a href="https://github.com/automaticanalysis/automaticanalysis/tree/master/examples/demos">examples</a> contain a use case test for EEG (meeg.m and meeg.xml). However, it does not cover connectivity, but the corresponding modules (aamod_meeg_connectivityanalysis, aamod_meeg_connectivitystatistics aamod_meeg_crossfrequencyanalysis, aamod_meeg_crossfrequencystatistics) are there already.<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB>I showcase them (including the connectivity) at the OHBM. See <a href="https://event.fourwaves.com/ohbm-2022/abstracts/28e92bad-192a-412c-b793-41ef7183ea36">my poster #1108</a> on “Age-related changes in connectivity and cross-frequency couplings in resting-state EEG”.<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB>There will also be another poster on aa (<a href="https://event.fourwaves.com/ohbm-2022/abstracts/ec17ea1c-2acb-468c-9789-301a94319250">#2107</a>).<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-GB>Let me know if you have any further questions.<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-GB>Kind regards,<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB>Tibor <o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-GB>Auer, Tibor M.D. Ph.D.<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB>Research Fellow<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB>School of Psychology, Faculty of Health and Medical Sciences<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB>University of Surrey, Guildford GU2 7XH<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB>T.Auer@surrey.ac.uk<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB>@TiborAuer<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB><o:p> </o:p></span></p><p class=MsoPlainText><span style='mso-fareast-language:HU'>-----Original Message-----<br>From: fieldtrip <fieldtrip-bounces@science.ru.nl> On Behalf Of Jan Ostrowski via fieldtrip<br>Sent: Monday, May 30, 2022 10:10 AM<br>To: fieldtrip@science.ru.nl<br>Cc: Jan Ostrowski <j.ostrowski@uke.de><br>Subject: [FieldTrip] How to do statistical analysis of connectivity data with FieldTrip?</span></p><p class=MsoPlainText><span lang=EN-GB><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-GB>Dear all,<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-GB>First of all, I'd like to thank the community for its support with previous issues and the swift replies. It's been helping a lot!<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-GB>Now, the actual problem at hand:<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-GB>I'd like to statistically compare connectivity data corresponding to two conditions from my paradigm. For that, I have already computed the coherence from the preprocessed EEG data for every participant using ft_connectivityanalysis. This has been done separately for both conditions. The resulting structures look like this:<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-GB>labelcmb: {1770×2 cell}<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB> dimord: 'chancmb_freq_time'<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB> cohspctrm: [1770×40×36 double]<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB> time: [1×36 double]<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB> freq: [1×40 double]<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB> dof: [1×40 double]<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB> cfg: [1×1 struct]<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-GB>Now it seems that FieldTrip does not provide specialized functions to handle statistical comparisons of connectivity data (please correct me if I'm wrong!). So my approach so far consisted in defining a source channel, extracting the data from the corresponding combinations, and modifying the resulting structures in a way so that ft_freqgrandaverage and ft_freqstatistics could handle them (I used cluster-based permutation for statistical testing). However, this approach is not very elegant and quite prone to errors along the way, as one has to keep track of the modifications meticulously.<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-GB>Is there any way of doing this kind of analysis with FieldTrip, that I have not found yet? If not, have any of you done this kind of analysis and can offer some advice on how to approach this? My goal is to statistically compare the connectivity for every channel combination in the data. I have been running that analysis on the whole time-frequency spectrum of my data. Also, how would one go about correcting for multiple testing in this instance?<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-GB>Any advice or pointers are greatly appreciated!<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-GB>Have a nice week!<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB>Jan<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-GB>--<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB>Jan Ostrowski, M.Sc.<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB>Department of Systems Neuroscience<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB>University Medical Center Hamburg-Eppendorf Martinistr. 52 Building W34, Room 320b<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB>D-20246 Hamburg, Germany<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-GB>--<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-GB>_____________________________________________________________________<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-GB>Universitätsklinikum Hamburg-Eppendorf; Körperschaft des öffentlichen Rechts; Gerichtsstand: Hamburg | <a href="http://www.uke.de"><span style='color:windowtext;text-decoration:none'>www.uke.de</span></a><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB>Vorstandsmitglieder: Prof. Dr. Burkhard Göke (Vorsitzender), Joachim Prölß, Prof. Dr. Blanche Schwappach-Pignataro, Marya Verdel _____________________________________________________________________<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-GB>SAVE PAPER - THINK BEFORE PRINTING<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-GB>_______________________________________________<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB>fieldtrip mailing list<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB><a href="https://mailman.science.ru.nl/mailman/listinfo/fieldtrip"><span style='color:windowtext;text-decoration:none'>https://mailman.science.ru.nl/mailman/listinfo/fieldtrip</span></a><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-GB><a href="https://doi.org/10.1371/journal.pcbi.1002202"><span style='color:windowtext;text-decoration:none'>https://doi.org/10.1371/journal.pcbi.1002202</span></a><o:p></o:p></span></p></div></body></html>