<div dir="ltr"><div><div>Hi Denis,<br><br></div>Which line represents "averaging in source space" and which represents "projecting evokeds"?<br><br></div><div>Regardless. I think you are referring to why are the results different when I average single trial data on the source space as opposed to averaging that same data in sensor space and then source localizing?<br>
<br></div><div>The first reason I can think of is that you are using the dSPM here and I believe that that can lead to some non-linearity between these results. Do you get the same problem with the L2?<br></div><div><br></div>
HTH,<br>D<br></div><div class="gmail_extra"><br><br><div class="gmail_quote">On Mon, Mar 10, 2014 at 1:56 PM, Denis-Alexander Engemann <span dir="ltr"><<a href="mailto:denis.engemann@gmail.com" target="_blank">denis.engemann@gmail.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Hi folks,<div><br></div><div>in one of my recent analyses I ran into some problems with regard to morphing and single trial</div>
<div>label time series extraction which lead me to set up some comparisons:</div>
<div><br></div><div><a href="https://gist.github.com/dengemann/9470121" target="_blank">https://gist.github.com/dengemann/9470121</a><br></div><div><br></div><div>(gist based on sample data, should run with a proper MNE-Python install)</div>
<div><br></div><div><img src="cid:ii_144ad1fa6975c52e" alt="Inline image 1" height="416" width="567"><br></div><div> </div><div>It turned out morphing was unproblematic, but,</div><div>I'm wondering whether the differences between averaging in source space and</div>
<div>projecting evokeds is expected, and if so, how it can be avoided?</div><div><br></div><div>The background is that I'd like to be confident about the relating single trial analyses at the evoked level.</div><div>
<br>
</div><div>Any thoughts?<br></div><div><br></div><div>Cheers,</div><div>Denis</div><div><br></div><div><br></div><div><br></div></div>
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