<html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:m="http://schemas.microsoft.com/office/2004/12/omml" xmlns="http://www.w3.org/TR/REC-html40"><head><meta http-equiv=Content-Type content="text/html; charset=utf-8"><meta name=Generator content="Microsoft Word 14 (filtered medium)"><style><!--
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</o:shapelayout></xml><![endif]--></head><body lang=EN-GB link=blue vlink=purple><div class=WordSection1><p class=MsoNormal>Dear Makoto,<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Thank you very much for your quick response. <o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Sure, I am going to report this problem in Bugzilla.<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Is there any alternative method to extract the ERP values after MPT clustering or to extract the P values after run statistics by MPT GUI?<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>About the anatomical regions, do you know how can I do that? <o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Many Thanks<o:p></o:p></p><p class=MsoNormal>Mohammed<o:p></o:p></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><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"'> Makoto Miyakoshi [mailto:mmiyakoshi@ucsd.edu] <br><b>Sent:</b> 21 April 2016 03:38<br><b>To:</b> Mohammed Jarjees<br><b>Cc:</b> eeglablist@sccn.ucsd.edu<br><b>Subject:</b> Re: [Eeglablist] Extracting ERP values after MPT clustering<o:p></o:p></span></p><p class=MsoNormal><o:p> </o:p></p><div><p class=MsoNormal>Dear Mohammed,<o:p></o:p></p><div><p class=MsoNormal><o:p> </o:p></p></div><div><p class=MsoNormal>Sorry to hear the inconvenience. This is a good detailed question. I believe this should be posted for eeglab Bugzilla to be officially registered. Would you mind filing the report here? I appreciate your cooperation and patience.<o:p></o:p></p></div><div><p class=MsoNormal><a href="https://sccn.ucsd.edu/bugzilla/enter_bug.cgi">https://sccn.ucsd.edu/bugzilla/enter_bug.cgi</a><o:p></o:p></p></div><div><p class=MsoNormal><o:p> </o:p></p></div><div><p class=MsoNormal>That being said, I recently noticed that Measure Projection could have a potential problem of double dipping (because you cluster data using ERP, for example, and run statistics on that later). It's probably safer to use anatomical regions, not domains (but that may not be supported by GUI).<o:p></o:p></p></div><div><p class=MsoNormal><o:p> </o:p></p></div><div><p class=MsoNormal>Makoto<o:p></o:p></p></div></div><div><p class=MsoNormal><o:p> </o:p></p><div><p class=MsoNormal>On Mon, Apr 18, 2016 at 10:49 AM, Mohammed Jarjees <<a href="mailto:m.jarjees.1@research.gla.ac.uk" target="_blank">m.jarjees.1@research.gla.ac.uk</a>> wrote:<o:p></o:p></p><div><div><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>Dear All,<o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'> <o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>I am using Measure projection toolbox (MPT) to cluster my EEG (ERP) data. In this study I have 3 groups of subjects ( First group has 10 subjects, second group has 9 subjects and third group has 10 subjects) and I have 3 conditions per group. I got 3 domains after MPT clustering. I extracted the ERP values from “sessionConditionCell” for each domains. The size of “sessionConditionCell” is 29*3 (subjects*conditions). I have used the following codes to extract the ERP values and to separate these values for each group and each condition.<o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'> <o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>domainNumber = 1; <span style='color:red'>% this should be 1,2 or 3%</span><o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>dipoleAndMeasure = STUDY.measureProjection.erp.object; <o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>domain = STUDY.measureProjection.erp.projection.domain(domainNumber); <o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>projection = STUDY.measureProjection.erp.projection;<o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>headGrid = STUDY.measureProjection.erp.headGrid;<o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>[linearProjectedMeasure sessionConditionCell groupId uniqeDatasetId dipoleDensity] = dipoleAndMeasure.getMeanProjectedMeasureForEachSession(headGrid, domain.membershipCube, projection.projectionParameter);<o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'> <o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>for i =1 : 29 ;<o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>Condition_1 ( i , : )= sessionConditionCell { i, 1};<o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>Condition_2 ( i , : )= sessionConditionCell { i, 2};<o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>Condition_3 ( i , : )= sessionConditionCell { i, 3};<o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>end<o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'> <o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>Group_1_Condition_1= Condition_1 ( 1:10, : ); Group_2_Condition_1= Condition_1 ( 11:19, : ); Group_3_Condition_1= Condition_1 ( 20:29, : );<o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>Group_1_Condition_2= Condition_2 ( 1:10, : ); Group_2_Condition_2= Condition_2 ( 11:19, : ); Group_3_Condition_2= Condition_2 ( 20:29, : );<o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>Group_1_Condition_3= Condition_3 ( 1:10, : ); Group_2_Condition_3= Condition_3 ( 11:19, : ); Group_3_Condition_3= Condition_3 ( 20:29, : );<o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'> <o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>When I plotted the average ERP for each condition, each group and each domain, I got different in<b><u> some</u></b> results from the results that I got from MPT GUI. For example the results for group 1 at Domain 1 for 3 conditions are same as the results from MPT GUI as well as the result for domain 2 and all three group and three condition are same as the MPT GUI. However, there are big different for group 2 & 3 at domain 1 as well as group 2 & 3 at domain 3 for all three conditions.<o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'> <o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>Any Suggestion to solve this problem<o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'> <o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>Best Regards<o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span style='color:#888888'>Mohammed<o:p></o:p></span></p></div></div><p class=MsoNormal><br>_______________________________________________<br>Eeglablist page: <a href="http://sccn.ucsd.edu/eeglab/eeglabmail.html" target="_blank">http://sccn.ucsd.edu/eeglab/eeglabmail.html</a><br>To unsubscribe, send an empty email to <a href="mailto:eeglablist-unsubscribe@sccn.ucsd.edu">eeglablist-unsubscribe@sccn.ucsd.edu</a><br>For digest mode, send an email with the subject "set digest mime" to <a href="mailto:eeglablist-request@sccn.ucsd.edu">eeglablist-request@sccn.ucsd.edu</a><o:p></o:p></p></div><p class=MsoNormal><br><br clear=all><o:p></o:p></p><div><p class=MsoNormal><o:p> </o:p></p></div><p class=MsoNormal>-- <o:p></o:p></p><div><div><p class=MsoNormal>Makoto Miyakoshi<br>Swartz Center for Computational Neuroscience<br>Institute for Neural Computation, University of California San Diego<o:p></o:p></p></div></div></div></div></body></html>