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<div class="moz-cite-prefix">Heyho,<br>
<br>
it might be a good way, at least I am doing it that way :) But
think about defining neighbouring voxels beforehands (easily
doable for a decent programmer, hard for a not-so-experienced
programmer). In the upcoming months/years there will be something
changing on the source-front anyway, so maybe it is best to use
the temporary solution with ft_timelockXXX until then. Note that
my personal opinion does not necessarily reflect the opinion of
the core dev team ;)<br>
<br>
Best,<br>
Jörn<br>
<br>
On 6/12/2013 4:03 PM, Johanna Zumer wrote:<br>
</div>
<blockquote
cite="mid:CAL4kA6dpzj6xWWs0kXOeQ60WKVixowZtF6N4Kse0ubeoA=4vLQ@mail.gmail.com"
type="cite">
<div dir="ltr">
<div style="">Dear Nicolai,</div>
<div style=""><br>
</div>
Good timing, I have just last week filed a 'bug' for this code
modification request: <a moz-do-not-send="true"
href="http://bugzilla.fcdonders.nl/show_bug.cgi?id=2185">http://bugzilla.fcdonders.nl/show_bug.cgi?id=2185</a>
<div style="">
You may add yourself to the CC list if you wish to receive
updates on the bug progress. </div>
<div style=""><br>
</div>
<div style="">I would be interested to hear if anyone else has
thoughts on your suggestion to 'hack' it as a timelock
structure with channels.</div>
<div style=""><br>
</div>
<div style="">Best,</div>
<div style="">Johanna</div>
</div>
<div class="gmail_extra"><br>
<br>
<div class="gmail_quote">2013/6/12 Nicolai Mersebak <span
dir="ltr"><<a moz-do-not-send="true"
href="mailto:nicolai@mersebak.dk" target="_blank">nicolai@mersebak.dk</a>></span><br>
<blockquote class="gmail_quote" style="margin:0 0 0
.8ex;border-left:1px #ccc solid;padding-left:1ex">
<div dir="ltr">Dear all,
<div><br>
</div>
<div>I have a question concerning <span style="">the usage
of ft_sourcegrandaverage and ft_sourcestatistics. </span></div>
<div><font color="#000000"><br>
</font></div>
<div>
<font color="#000000">After using ft_sourceanalysis
(method: MNE), I get spatio-temporal source
reconstructed data in source.avg.pow (4050 x 897):
4050 sources and 897 time points. </font></div>
<div><font color="#000000"><br>
</font></div>
<div><font color="#000000">Now I would like to use the
cluster-based permutation test on my source
reconstructed data. However it seems like
ft_sourcegrandaverage and</font><span style=""> ft_sourcestatistics
don't support source level time courses. E.g when I am
using </span><span style="">ft_sourcegrandaverage I am
getting the following error:</span></div>
<div><font color="#000000"><br>
</font></div>
<div>
<div>Error in ft_sourcegrandaverage (line 158)</div>
<div> dat(:,i) = tmp(:);</div>
<div><br>
</div>
<div>Looking into the code:</div>
<div><br>
</div>
<div>
<p
style="margin:0px;font-size:10px;font-family:Courier">
<span style="color:rgb(4,51,255)">for</span>
i=1:Nsubject</p>
<p
style="margin:0px;font-size:10px;font-family:Courier">
tmp = getsubfield(varargin{i},
parameterselection(cfg.parameter, varargin{i}));</p>
<p
style="margin:0px;font-size:10px;font-family:Courier">
dat(:,i) = tmp(:);</p>
<p
style="margin:0px;font-size:10px;font-family:Courier">
tmp = getsubfield(varargin{i}, <span
style="color:rgb(178,69,243)">'inside'</span>);</p>
<p
style="margin:0px;font-size:10px;font-family:Courier">
inside(tmp,i) = 1;</p>
<p
style="margin:0px;font-size:10px;font-family:Courier;color:rgb(4,51,255)"><span
style="color:rgb(0,0,0)"> </span>end</p>
<div><br>
</div>
</div>
<div>I see that "tmp" are getting the structure
[N_sources x timepoints] from source.avg.pow for one
subject, where "dat" requires the structure [N_sources
x 1]. <br>
</div>
<div><br>
</div>
<div>I seached the mailing list for similar issues and
found this thread:</div>
<div><br>
</div>
<div><a moz-do-not-send="true"
href="http://mailman.science.ru.nl/pipermail/fieldtrip/2010-September/003122.html"
target="_blank">http://mailman.science.ru.nl/pipermail/fieldtrip/2010-September/003122.html</a><br>
</div>
<div><br>
</div>
<div>Since I am interested in using the temporal
dimension in my statistics, I would like to know if it
is still not possible to use spatio-temporal source
reconstructed data in ft_sourcestatistics and
ft_sourcegrandaverage ?</div>
<div><br>
</div>
<div>Or if any have succeeded in using the cluster-based
permutation test on source level also including the
temporal dimension ? </div>
<div><br>
</div>
<div>Alternative I was thinking that I might could use
ft_timelockstatistics, where I substituted the
channels with sources, e.g instead of having 64
channels, I would now have 4050 "channels". </div>
<div>If so I need to calculate a label structure and an
appropriate neighbor structure, which I guess is
possible as I have all the 3D coordinates for each
source, e.g in leadfield.pos ?</div>
<div>I know this is a work around solution, but have
anyone tried or have any experience using such an
approach ? </div>
<div><br>
</div>
<div>Best,</div>
<div><br>
</div>
<div>Nicolai</div>
<div><br>
</div>
</div>
</div>
<br>
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href="http://mailman.science.ru.nl/mailman/listinfo/fieldtrip"
target="_blank">http://mailman.science.ru.nl/mailman/listinfo/fieldtrip</a><br>
</blockquote>
</div>
<br>
</div>
<br>
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<pre wrap="">_______________________________________________
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</blockquote>
<br>
<br>
<pre class="moz-signature" cols="72">--
Jörn M. Horschig
PhD Student
Donders Institute for Brain, Cognition and Behaviour
Centre for Cognitive Neuroimaging
Radboud University Nijmegen
Neuronal Oscillations Group
FieldTrip Development Team
P.O. Box 9101
NL-6500 HB Nijmegen
The Netherlands
Contact:
E-Mail: <a class="moz-txt-link-abbreviated" href="mailto:jm.horschig@donders.ru.nl">jm.horschig@donders.ru.nl</a>
Tel: +31-(0)24-36-68493
Web: <a class="moz-txt-link-freetext" href="http://www.ru.nl/donders">http://www.ru.nl/donders</a>
Visiting address:
Trigon, room 2.30
Kapittelweg 29
NL-6525 EN Nijmegen
The Netherlands</pre>
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