<div dir="ltr">So does that mean that we need not to equalize epochs between conditions (within one subject)?</div><div class="gmail_extra"><br><div class="gmail_quote">2016-03-03 16:23 GMT+01:00 Denis-Alexander Engemann <span dir="ltr"><<a href="mailto:denis.engemann@gmail.com" target="_blank">denis.engemann@gmail.com</a>></span>:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Hi Laetitia, <div><br></div><div>I I'm understanding you correctly this should not be an issue for evoked data as long as you are using the .average method that will tell the inverse routines how to scale the data via its .nave attribute.</div><div>Did you have any particular problems?</div><div><br></div><div>Cheers,</div><div>Denis</div></div><div class="gmail_extra"><br><div class="gmail_quote"><div><div class="h5">On Thu, Mar 3, 2016 at 3:09 PM, Laetitia Grabot <span dir="ltr"><<a href="mailto:laetitia.grabot@gmail.com" target="_blank">laetitia.grabot@gmail.com</a>></span> wrote:<br></div></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div><div class="h5"><div dir="ltr">Dear MNE-users,<div><br><div>I am aware of the fact that when contrasting two conditions, the epochs within each condition should be equalized before reconstructing in source space, otherwise the SNR would be different between the two conditions. That also means that if two subjects have a different number of epochs, the SNR of each subject will be different. It is often the case that the number of epochs doubled between subjects (50 vs. 100) so I guess that it is an issue when looking at group averaged stc for instance.</div></div><div>A possible solution would be to normalize the stc to correct for the number of trials. What do you think of that? What would be the proper normalization? </div><div><br></div><div>Thanks,</div><div>Best,</div><div>Laetitia G.</div></div>
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