<div dir="ltr">That makes sense. How would you implement phase-randomisation? Is it similar to estimating the connectivity between the same pairs of electrodes but with data coming from different trials? Or even simpler?<div>
<br></div><div>My interest to know about PLI/wPLI however still holds.<br><div><br></div><div>B</div></div></div><div class="gmail_extra"><br clear="all"><div><div dir="ltr">–<br>Bastien Boutonnet, Ph. D.<div>Postdoctoral Research Associate<br>
<div>Department of Psychology</div><div>University of Wisconsin, Madison</div><div><a href="http://bastienboutonnet.com" target="_blank">bastienboutonnet.com</a></div></div></div></div>
<br><br><div class="gmail_quote">On 9 July 2014 14:42, HINDRIKS, RIKKERT <span dir="ltr"><<a href="mailto:rikkert.hindriks@upf.edu" target="_blank">rikkert.hindriks@upf.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="ltr"><div>Constructing surrogate time-series for PLV is more straightforward since, in this case, the nullhypothesis is the absence of phase-locking. </div><div>Surrogate pairs of time-series can be constructed for example by phase-randomization in the Fourier domain.</div>
<span class="HOEnZb"><font color="#888888">
<div><br></div><div>Rikkert</div></font></span></div><div class="HOEnZb"><div class="h5"><div class="gmail_extra"><br><br><div class="gmail_quote">On Wed, Jul 9, 2014 at 9:01 PM, Bastien Boutonnet <span dir="ltr"><<a href="mailto:bastien.b1@gmail.com" target="_blank">bastien.b1@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">I guess I will tag along to this discussion, in saying that I have been having the same burning question for a while.<div>
<br></div><div>My issues have been along those lines: when I run some kinds of connectivity analyses (be it PLI, wPLI or PLV), how do I make sure the values I obtain are "legal" (or different from 0). </div>
<div><br></div><div>B</div></div><div class="gmail_extra"><br clear="all"><div><div dir="ltr">–<br>Bastien Boutonnet, Ph. D.<div>Postdoctoral Research Associate<br><div>Department of Psychology</div><div>University of Wisconsin, Madison</div>
<div><a href="http://bastienboutonnet.com" target="_blank">bastienboutonnet.com</a></div></div></div></div><div><div>
<br><br><div class="gmail_quote">On 9 July 2014 13:39, HINDRIKS, RIKKERT <span dir="ltr"><<a href="mailto:rikkert.hindriks@upf.edu" target="_blank">rikkert.hindriks@upf.edu</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;padding-left:1ex;border-left-color:rgb(204,204,204);border-left-width:1px;border-left-style:solid">
<div dir="ltr"><div>Hi Lidia,</div><div><br></div><div>I have the same question and I don't think the answer is trivial: one would have to construct pairs of surrogate time-series under the </div><div>nullhypothesis of zero phase-lag-index. With other words: construct pairs of time-series who's instantaneous phases are coupled</div>
<div>to the same extent as the recorded time-series but with zero lag. In my case, the question is how to test for a significant lag via the </div><div>cross-correlation function. </div><div><br></div><div><br></div><div>
Kind regards,</div><div>Rikkert </div></div><div class="gmail_extra"><br><br><div class="gmail_quote"><div><div>On Wed, Jul 9, 2014 at 8:18 PM, Lidia Mijas <span dir="ltr"><<a href="mailto:lid.mijas@gmail.com" target="_blank">lid.mijas@gmail.com</a>></span> wrote:<br>
</div></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;padding-left:1ex;border-left-color:rgb(204,204,204);border-left-width:1px;border-left-style:solid"><div><div><div dir="ltr"><div><div><div><div>
<div>Hi all,<br><br></div>I am wondering if fieldtrip has any options for computing surrogates?<br>
</div>I am tryng to assess confidence level for my Phase Lag Index results ( to determine whether it is significantly larger then 0)<br>
<br>But maybe someone has a better idea how to do it?<br></div>Not sure if it matters so just to mentioned that my PLI was computed at the source level on beamformed signals.<br><br></div>Many thanks for any suggestion.<span><font color="#888888"><br>
<br></font></span></div><span><font color="#888888">Lidia<br></font></span></div>
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