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<div class="moz-cite-prefix">Dear Hweeling, <br>
<br>
I agree with Roey that coherence/PLV cannot be calculated for
individual trials. <br>
However, you could try to use the deviation (in each single trial)
from the mean phase as an approximation.<br>
<br>
Good luck!<br>
Tobias<br>
<br>
<br>
<br>
Am 18.09.2014 15:32, schrieb Roey Schurr:<br>
</div>
<blockquote
cite="mid:CAHm4wZAgNcKqjdRY9HOyEApQo9SnZmfEQJL9XZNotRtEZdK8=A@mail.gmail.com"
type="cite">
<div dir="ltr">Dear Hweeling,
<div><br>
</div>
<div>Unfortunately I am not yet familiar with the PPC measure,
but I guess that being a pairwise phase <b>consistancy</b> measure,
it is defined over a set of trials, and can not be calculated
for any individual trial (like coherence, or PLV)?</div>
<div><br>
</div>
<div>Just quickly reading through "The pairwise phase
consistency: A bias-free measure of rhythmic neuronal
synchronization" (Vinck et al., 2010), this seems to be the
case.</div>
<div><br>
</div>
<div>Hope this helps,</div>
<div>roey</div>
</div>
<div class="gmail_extra"><br>
<div class="gmail_quote">On Thu, Sep 18, 2014 at 3:30 PM, Hwee
Ling Lee <span dir="ltr"><<a moz-do-not-send="true"
href="mailto:hweeling.lee@gmail.com" target="_blank">hweeling.lee@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">
<div dir="ltr">
<div>Dear all,</div>
<div><br>
</div>
<div>I've got a question regarding extracting pairwise
phase consistency of individual trials for each
subject.</div>
<div><br>
</div>
<div>Using the connectivity analyses tutorial as a
reference, I extracted the PPC using the fourier
information from the mtmfft (dpss taper).</div>
<div><br>
</div>
<div>Here's an example of my code:</div>
<div><br>
</div>
<div>
<div> cfg = [];</div>
<div> cfg.output = 'fourier';</div>
<div> cfg.channel = {'all'};</div>
<div> cfg.method = 'mtmfft';</div>
<div> cfg.keeptrials = 'yes';</div>
<div> cfg.tapsmofrq = 5;</div>
<div> </div>
<div> % find the index for the c200 condition</div>
<div> pre_c200_idx = find(data8.trialinfo == 200);</div>
<div> </div>
<div> cfg.trials = pre_c200_idx;</div>
<div> cfg.foilim = [0 100]; % either the
full range of frequencies (data2.hdr.Fs/2) or up to
100 Hz</div>
<div> cfg.taper = 'dpss';</div>
<div> HLF_pre_c200 = ft_freqanalysis(cfg,
data8);</div>
</div>
<div><br>
</div>
<div>The PPC is extracted using this code:</div>
<div><br>
</div>
<div>
<div> cfg = [];</div>
<div> cfg.trials = 'all';</div>
<div> cfg.keeptrials = 'yes';</div>
<div> cfg.channel = {'all'};</div>
<div> cfg.removemean = 'yes';</div>
<div> </div>
<div> cfg.method = 'wppc';</div>
<div> cfg.channelcmb = {cfg.channel,
cfg.channel};</div>
<div> </div>
<div> HLF_pre_c200wppc =
ft_connectivityanalysis(cfg, HLF_pre_c200);</div>
</div>
<div><br>
</div>
<div>Although I've specified to keep individual trials,
my output is still a 'chan_freq' dimord variable. It
does not contain any individual trial PPC information.
Is there a way to extract the connectivity for
individual trials?</div>
<div><br>
</div>
<div>Thanks.</div>
<div><br>
</div>
<div>Cheers,</div>
<div>Hweeling</div>
<div><br>
</div>
</div>
</div>
<br>
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</blockquote>
</div>
<br>
</div>
<br>
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<br>
<br>
<pre class="moz-signature" cols="72">--
Dr. Tobias Staudigl
Fachbereich Psychologie - ZPR
Postfach ZPR
78457 Konstanz
ZPR, Haus 12
Tel.: +49 (0)7531 / 88 - 5703
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