<div dir="ltr">You could use Euclidean distance to identify neighbors on the medial wall, too. I have some code somewhere experimenting along those lines if you want it.<div><br></div><div>Eric</div><div><br></div></div><div class="gmail_extra">
<br><br><div class="gmail_quote">On Sun, Aug 24, 2014 at 1:58 PM, Hari Bharadwaj <span dir="ltr"><<a href="mailto:hari@nmr.mgh.harvard.edu" target="_blank">hari@nmr.mgh.harvard.edu</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<div dir="auto"><div>Hmm.. BA18/19/37 on the left and right hemispheres are not that far from each other... Funny things could happen if the activation is bilateral, especially if there are phase/latency differences between hemispheres...</div>
<div><br></div><div>Perhaps you could look for arguments along the lines presented here:</div><div><a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2797557/#!po=2.17391" target="_blank">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2797557/#!po=2.17391</a></div>
<span class="HOEnZb"><font color="#888888"><div><br></div><div><span>Hari </span></div></font></span><div><div class="h5"><div><br>On Aug 24, 2014, at 2:59 PM, Denis-Alexander Engemann <<a href="mailto:denis.engemann@gmail.com" target="_blank">denis.engemann@gmail.com</a>> wrote:<br>
<br></div><blockquote type="cite"><div><div dir="ltr">Hi Hari, <div><br></div><div>I'm personally not too surpised as well. I often see cluster solutions with bilateral activaiton where only one of the clusters survives the permutation test. The connectivity constrain that's currently implemented in MNE-Python would disconnect such bilateral activations easily. Especially for weak effects that lead to 1-cluster solutions. That being said it's actually surprising that I do see any results in sensor-space since no position-correction was available for the system + data-set I'm currently working with.</div>
<div>But I'm trying to collect some arguments that you can use to explain this phenomenon to fMRI experts that haven't used MEG. And of course trying to rule out stupid mistakes on my end.</div><div>In this case we're talking about visual activation at the border between BA18 and BA37.</div>
<div><br></div><div>- Denis</div></div><div class="gmail_extra"><br><br><div class="gmail_quote">2014-08-24 20:51 GMT+02:00 Hari Bharadwaj <span dir="ltr"><<a href="mailto:hari@nmr.mgh.harvard.edu" target="_blank">hari@nmr.mgh.harvard.edu</a>></span>:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Hi Denis,<br>
Is this MEG or EEG data? Perhaps sone examples plots of what you mean by changes in laterality would be useful...<br>
<br>
Sometimes our intuition (or at least mine) about what field patterns correspond to what source patterns can be quite off. This is particularly true when looking at fields that are not classic dipole like...<br>
<br>
That said, sometimes p-values can be unpredictably high in source regions where the projected signal is small (and hence low across permutation variance)..e.g., deep sources like the insula or the cingulate often tend to show up...<br>
<br>
Hari<br>
<div><div><br>
> On Aug 24, 2014, at 2:36 PM, Denis-Alexander Engemann <<a href="mailto:denis.engemann@gmail.com" target="_blank">denis.engemann@gmail.com</a>> wrote:<br>
><br>
> Dear list,<br>
><br>
> I'm currently seeing funky changes of laterality for some contrast of interest when comparing cluster permutation solutions between sensor space and source space. Does this ring a bell fo anybody? Input would be appreciated.<br>
><br>
> Cheers,<br>
> Denis<br>
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