<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><div dir="ltr"><div dir="ltr">hi Pooja,</div><br><div class="gmail_quote"><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr"><div style="font-family:arial,helvetica,sans-serif">I am trying to apply spatio-temporal clustering to the averaged TFR values. I am following the same steps as shown in the example: <a href="https://mne.tools/stable/auto_tutorials/stats-sensor-space/plot_stats_spatio_temporal_cluster_sensors.html" target="_blank">https://mne.tools/stable/auto_tutorials/stats-sensor-space/plot_stats_spatio_temporal_cluster_sensors.html</a>, only difference is i am trying the steps on TFR's instead of evoked.</div><div style="font-family:arial,helvetica,sans-serif">I faced two difficulties during execution:</div><div style="font-family:arial,helvetica,sans-serif">1. When we do the plot_topomap for TFR's, there is no "mask" parameter, because of which I was unable to display the significant sensors only (like shown in the MNE example). Is there any way to plot only the significant sensors using plot_topomap when used on TFR's?</div></div></blockquote><div><br></div><div>I am not sure what you expect to see.</div><div> </div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr"><div style="font-family:arial,helvetica,sans-serif">2. To plot the power (TFR's) pertaining to different conditions I used plot_compare-evoked, for which I created a dummy EvokedArray (using mne.EvokedArray) and placed the power data for each condition. Plot showed up the values in 1e15 range whereas the actual power values are in 1e-1 range. Is there any way we can plot the power like we plot the evoked using the single function? Or am I doing something wrong?</div></div></blockquote><div><br></div><div>mne plot functions use the channel types to scale the data during plotting.</div><div><br></div><div>maybe you can write your own plotting function using just matplotlib?</div><div><br></div><div>Alex</div><div><br></div><div> </div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr"><div style="font-family:arial,helvetica,sans-serif"><br></div><div style="font-family:arial,helvetica,sans-serif">It will be of great help, if you can suggest to me the solution.</div><div style="font-family:arial,helvetica,sans-serif">Thank You</div><div><br></div>-- <br><div dir="ltr"><div dir="ltr"><div><div dir="ltr">Thank You<div>Pooja Prabhu</div><div><br></div></div></div></div></div></div>
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