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<body lang="NL" link="#0563C1" vlink="#954F72"><p><span style="padding: 3px 10px; border-radius: 5px; color: #ffffff; font-weight: bold; display: inline-block; background-color: #ff0000;"> External Email - Use Caution </span></p><p></p>
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<pre><span lang="EN-US" style="font-family:"Calibri",sans-serif;color:black">Hi Alex,<o:p></o:p></span></pre>
<pre><span lang="EN-US" style="font-family:"Calibri",sans-serif;color:black"><o:p> </o:p></span></pre>
<pre><span lang="EN-US" style="font-family:"Calibri",sans-serif;color:black">I create subject level contrasts (conflict versus no conflict) and then want to run a group-level analysis where I want to use a continuous variable, which is an individual difference measure (number of trials on which the participant cheated), as a predictor in a linear regression with t-values from the within subject contrasts (conflict versus no conflict) as dependent variable. Stated differently, I want to see whether frequency of cheating across individual can explain differences how conflict versus no conflict trials are modulated in the brain. <o:p></o:p></span></pre>
<pre><span lang="EN-US" style="font-family:"Calibri",sans-serif;color:black">I’ve got the within-subject contrasts for each subject TF-maps one for each channel and am now wondering which function I can use to run this group-level analysis?<o:p></o:p></span></pre>
<pre><span lang="EN-US" style="font-family:"Calibri",sans-serif;color:black"><o:p> </o:p></span></pre>
<pre><span lang="EN-US" style="font-family:"Calibri",sans-serif;color:black">Thanks for your help,<o:p></o:p></span></pre>
<pre><span lang="EN-US" style="font-family:"Calibri",sans-serif;color:black"><o:p> </o:p></span></pre>
<pre><span lang="EN-US" style="font-family:"Calibri",sans-serif;color:black">Sebastian<o:p></o:p></span></pre>
<pre><span lang="EN-US" style="color:black"><o:p> </o:p></span></pre>
<pre><span lang="EN-US" style="color:black"><o:p> </o:p></span></pre>
<pre><span lang="EN-US" style="color:black"><o:p> </o:p></span></pre>
<pre><span lang="EN-US" style="color:black">hi Sebastian,<o:p></o:p></span></pre>
<pre><span lang="EN-US" style="color:black"><o:p> </o:p></span></pre>
<pre><span lang="EN-US" style="color:black">can you step back and explain the overall aim of the procedure?<o:p></o:p></span></pre>
<pre><span lang="EN-US" style="color:black">what would you like to show with your data? is it group level?<o:p></o:p></span></pre>
<pre><span lang="EN-US" style="color:black">a contrast?<o:p></o:p></span></pre>
<pre><span lang="EN-US" style="color:black"><o:p> </o:p></span></pre>
<pre><span lang="EN-US" style="color:black">Alex<o:p></o:p></span></pre>
<pre><span lang="EN-US" style="color:black"><o:p> </o:p></span></pre>
<pre><span lang="EN-US" style="color:black"><o:p> </o:p></span></pre>
<pre><span lang="EN-US" style="color:black">On Mon, Jun 29, 2020 at 6:14 PM S.P.H. Speer <</span><span style="color:black"><a href="https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis"><span lang="EN-US">speer at rsm.nl</span></a></span><span lang="EN-US" style="color:black">> wrote:<o:p></o:p></span></pre>
<pre><span lang="EN-US" style="color:black">><i><o:p> </o:p></i></span></pre>
<pre><span lang="EN-US" style="color:black">><i> External Email - Use Caution<o:p></o:p></i></span></pre>
<pre><span lang="EN-US" style="color:black">><i><o:p> </o:p></i></span></pre>
<pre><span lang="EN-US" style="color:black">><i> Dear MNE-team,<o:p></o:p></i></span></pre>
<pre><span lang="EN-US" style="color:black">><i><o:p> </o:p></i></span></pre>
<pre><span lang="EN-US" style="color:black">><i><o:p> </o:p></i></span></pre>
<pre><span lang="EN-US" style="color:black">><i><o:p> </o:p></i></span></pre>
<pre><span lang="EN-US" style="color:black">><i> I’m trying to run a linear regression analysis on Time-Frequency data. I’ve got the average TFR for each for each subject and want to regress and individual difference measure on the time frequency data for a specific channel. The data has the same dimensions as for running linear regression on epochs but instead of channels I’m using frequencies. Unfortunately the linear_regression function provided by MNE does not allow TFR data as input. Is there a workaround for this problem? I would also like to run cluster-based permutation tests on the results of the linear regression to estimate significance. Would that be feasible?<o:p></o:p></i></span></pre>
<pre><span lang="EN-US" style="color:black">><i><o:p> </o:p></i></span></pre>
<pre><span lang="EN-US" style="color:black">><i><o:p> </o:p></i></span></pre>
<pre><span lang="EN-US" style="color:black">><i><o:p> </o:p></i></span></pre>
<pre><span lang="EN-US" style="color:black">><i> Thank you very much for your help,<o:p></o:p></i></span></pre>
<pre><span lang="EN-US" style="color:black">><i><o:p> </o:p></i></span></pre>
<pre><span lang="EN-US" style="color:black">><i><o:p> </o:p></i></span></pre>
<pre><span lang="EN-US" style="color:black">><i><o:p> </o:p></i></span></pre>
<pre><span lang="EN-US" style="color:black">><i> Sebastian<o:p></o:p></i></span></pre>
<pre><span lang="EN-US" style="color:black">><i><o:p> </o:p></i></span></pre>
<pre><span lang="EN-US" style="color:black">><i> _______________________________________________<o:p></o:p></i></span></pre>
<pre><span lang="EN-US" style="color:black">><i> Mne_analysis mailing list<o:p></o:p></i></span></pre>
<pre><span lang="EN-US" style="color:black">><i> </i></span><i><span style="color:black"><a href="https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis"><span lang="EN-US">Mne_analysis at nmr.mgh.harvard.edu</span></a></span></i><i><span lang="EN-US" style="color:black"><o:p></o:p></span></i></pre>
<pre><span lang="EN-US" style="color:black">><i> </i></span><i><span style="color:black"><a href="https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis"><span lang="EN-US">https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis</span></a></span></i><i><span lang="EN-US" style="color:black"><o:p></o:p></span></i></pre>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
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