<div dir="ltr">Dear fieldtrippers,<div><br></div><div>I am reposting this question in hope someone could help me use the template BEM head model in EEG source reconstruction.</div><div><br></div><div>Any help would be greatly appreciated!</div><div>Thank you all,<br></div><div>roey<br><div class="gmail_extra"><br><br><div class="gmail_quote">On Wed, Aug 20, 2014 at 5:23 PM, Roey Schurr <span dir="ltr"><<a href="mailto:roeysc@gmail.com" target="_blank">roeysc@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 style="direction:ltr;font-family:arial,sans-serif;font-size:13.333333969116211px"><p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif;background-image:initial;background-repeat:initial">Dear
fieldtrippers, dear </span><span style="font-size:10pt;font-family:Arial,sans-serif">Jörn,</span><span style="font-size:10pt;font-family:'Times New Roman',serif"></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif"> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">I am currently trying
to use the standard BEM head model provided in the fieldtrip toolbox (on a 19
electrodes EEG recording, segmented into 10-seconds trials, not time-locked),
but I have encountered a problem I could not resolve:</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif"> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif;color:red">Error using svd</span><span style="font-size:10pt;font-family:Arial,sans-serif"></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif;color:red">Input to SVD must not
contain NaN or Inf.</span><span style="font-size:10pt;font-family:Arial,sans-serif"></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif"> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif;color:red">Error in pinv (line 29)</span><span style="font-size:10pt;font-family:Arial,sans-serif"></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif;color:red"> [U,S,V] =
svd(A,0);</span><span style="font-size:10pt;font-family:Arial,sans-serif"></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif"> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif;color:red">Error in pinv (line 27)</span><span style="font-size:10pt;font-family:Arial,sans-serif"></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif;color:red"> X =
pinv(A',varargin{:})';</span><span style="font-size:10pt;font-family:Arial,sans-serif"></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif"> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif;color:red">Error in
minimumnormestimate (line 151)</span><span style="font-size:10pt;font-family:Arial,sans-serif"></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif;color:red"> w =
pinv(lf);</span><span style="font-size:10pt;font-family:Arial,sans-serif"></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif"> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif;color:red">Error in ft_sourceanalysis
(line 876)</span><span style="font-size:10pt;font-family:Arial,sans-serif"></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif;color:red">
dip(i) = minimumnormestimate(grid, sens, vol, squeeze_avg, optarg{:});</span><span style="font-size:10pt;font-family:Arial,sans-serif"></span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif"> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">Following some old
posts in the mailing list I made sure the electrodes data structure of the data
is the same as that given in the cfg of ft_sourceanalysis. However,
it is still possible that using a 19 electrodes recording is not possible using
the source model I am using?</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif"> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">I am also afraid
computing the source reconstruction on such continuous data, that is not
time-locked, could be a problem. For example, having to calculate the “avg”
field artificially seems a little fishy.</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif"> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">I also tried running
the code on the EEG data of the continuous data preprocessing tutorial (after
choosing only 19 of its electrodes, though possibly not the right ones).</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif"> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">Any advice would be
greatly appreciated!</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">Thank you all,</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">Roey</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif"> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif"><br></span></p><p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif"> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">THE CODE</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">---------------</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">% Load head model, “vol”</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">hdmfile =
fullfile(which('standard_bem.mat'));</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">load(hdmfile);</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif"> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">% Create grid</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">gridcfg = [];</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">gridcfg.grid.xgrid =
-20:1:20;</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">gridcfg.grid.ygrid =
-20:1:20;</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">gridcfg.grid.zgrid =
-20:1:20;</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">gridcfg.grid.unit = 'cm';</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">gridcfg.grid.tight = 'yes';</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">gridcfg.inwardshift =
-1.5;</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">gridcfg.vol = vol;</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif"> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">gridVar =
ft_prepare_sourcemodel(gridcfg);</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif"> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">% Restrict source
reconstruction to outside of the cerrebellum</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">gridVar =
getRidOfCerrebellum([], gridVar);</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif"> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">% Source
reconstruction</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">slcfg = struct;</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">slcfg.method = ‘mne’;</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">slcfg.elec =
data.elec;</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">slcfg.grid = gridVar;</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">slcfg.vol = vol;</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">slcfg.rawtrial = 'yes';</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">slcfg.hdmfile = hdmfile;</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">slcfg.mne.lambda = '5%';</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">slcfg.keepfilter = 'yes';</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">slcfg.rawtrial = 'no';
% this is because we are now just computing the spatial filter</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">slcfg.singletrial = 'no';</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">slcfg.keeptrials = 'yes';</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif"> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">% calculate the avg of
each trial, for use in ft_sourceanalysis</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">for trialI = 1:length(data.trial)</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif"> data.avg(:,trialI) = mean(data.trial{trialI}')';</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">end</span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif"> </span></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt"><span style="font-size:10pt;font-family:Arial,sans-serif">source_for_filter =
ft_sourceanalysis(slcfg, data); %this source structure is used to compute the
filter to be used later</span></p></div><div style="direction:ltr;font-family:arial,sans-serif;font-size:13.333333969116211px"><br></div></div><div class="gmail_extra"><br><br><div class="gmail_quote"><span class="">On Fri, Jul 25, 2014 at 9:46 AM, "Jörn M. Horschig" <span dir="ltr"><<a href="mailto:jm.horschig@donders.ru.nl" target="_blank">jm.horschig@donders.ru.nl</a>></span> wrote:<br>
</span><div><div class="h5"><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Dear Roey,<br>
<br>
I agreet that this is a bad idea - independently of what result you will get, the error is just too big to draw any reliable conclusions. Imho, you can better try using ICA to decompose your data into components.<br>
<br>
Concerning the headmodel, there is a standard BEM headmodel template available in FieldTrip.<br>
<br>
Best,<br>
Jörn<div><br>
<br>
On 7/24/2014 8:50 PM, Roey Schurr wrote:<br>
</div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div>
Dear Jim,<br>
Thank you for drawing my attention to this problem. I have actually tried building a realistic head model using OPENMEG but encountered some compitability problems since our lab does not use Linux. This is indeed one of the most important (short) future tasks - being able to use such realistic head models.<br>
Best,<br>
roey<br>
<br>
<br></div><div>
On Thu, Jul 24, 2014 at 6:34 PM, E688205 <<a href="mailto:j.herring@fcdonders.ru.nl" target="_blank">j.herring@fcdonders.ru.nl</a> <mailto:<a href="mailto:j.herring@fcdonders.ru.nl" target="_blank">j.herring@fcdonders.<u></u>ru.nl</a>>> wrote:<br>
<br>
Dear Roey,<br>
<br>
To add to Diego's comments, since you are dealing with EEG data a<br>
single sphere headmodel is not a good idea because it does not<br>
take into account the differences in conductivity between the<br>
skull, scalp, and brain. This is not a problem for MEG but is<br>
important for EEG. Therefore it is better to use, for example, a<br>
BEM head model.<br>
<br>
Best,<br>
<br>
Jim<br>
<br>
On 23 jul. 2014, at 16:38, "Lozano Soldevilla, D. (Diego)"<br>
<<a href="mailto:d.lozanosoldevilla@fcdonders.ru.nl" target="_blank">d.lozanosoldevilla@fcdonders.<u></u>ru.nl</a><br></div>
<mailto:<a href="mailto:d.lozanosoldevilla@fcdonders.ru.nl" target="_blank">d.lozanosoldevilla@<u></u>fcdonders.ru.nl</a>>> wrote:<br>
<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div>
Dear Roey,<br>
<br>
In my opinion it's definitely not a good idea to compute MNE<br>
using 19 sensors. There are studies that have found a drastic<br>
localization precision from 31 to 63 electrodes and further<br>
improvements till 123:<br>
<br>
<a href="http://www.ncbi.nlm.nih.gov/pubmed/15351361" target="_blank">http://www.ncbi.nlm.nih.gov/<u></u>pubmed/15351361</a> (see figure 1)<br>
<a href="http://www.ncbi.nlm.nih.gov/pubmed/12495765" target="_blank">http://www.ncbi.nlm.nih.gov/<u></u>pubmed/12495765</a><br>
<br>
Although it's very difficult to know the "minimum" number of<br>
electrodes needed to accurately localize a given source (it<br>
depends on the strength of the source you want to localize,<br>
source reconstruction algorithm, data noise...), 19 electrodes<br>
are too low to trust the results you can get.<br>
<br>
best,<br>
<br>
Diego<br>
<br>
<br></div>
------------------------------<u></u>------------------------------<u></u>------------<br>
From roeysc <a href="http://atgmail.com" target="_blank">atgmail.com</a> <<a href="http://gmail.com" target="_blank">http://gmail.com</a>> Mon Jul 21 11:21:32 2014<br>
From: roeysc <a href="http://atgmail.com" target="_blank">atgmail.com</a> <<a href="http://gmail.com" target="_blank">http://gmail.com</a>> (Roey Schurr)<div><br>
Date: Mon, 21 Jul 2014 12:21:32 +0300<br>
Subject: [FieldTrip] MNE Source Reconstruction Sanity Check<br></div>
Message-ID: <<a href="mailto:CAHm4wZBRYo4fV63EL9yXaAQ_W43cHF_8J2b%2BrNyzd55x4aRviw@mail.gmail.com" target="_blank">CAHm4wZBRYo4fV63EL9yXaAQ_<u></u>W43cHF_8J2b+rNyzd55x4aRviw@<u></u>mail.gmail.com</a> <mailto:<a href="mailto:CAHm4wZBRYo4fV63EL9yXaAQ_W43cHF_8J2b%2BrNyzd55x4aRviw@mail.gmail.com" target="_blank">CAHm4wZBRYo4fV63EL9yXa<u></u>AQ_W43cHF_8J2b+rNyzd55x4aRviw@<u></u>mail.gmail.com</a>>><div>
<div><br>
<br>
Dear fieldtrippers,<br>
<br>
<br>
<br>
I want to do a sanity check on mne source reconstruction.<br>
<br>
I'm working on continuous EEG recordings (19 electrodes), estimating the<br>
source reconstruction activity using the *mne* (minimum norm estimate)<br>
method, a *template MRI* (Colin27) and a *singlesphere* headmodel. As a<br>
sanity check for the source reconstruction itself, I wanted to compare<br>
conditions in which I could estimate the loci of significant changes, e.g.:<br>
rest vs movement of the hand, moving the right hand vs the left hand, etc.<br>
I have about 60 seconds of recording for each condition.<br>
<br>
<br>
<br>
What I did was:<br>
<br>
1) Segment the recording of each condition into many "trials" of 2 seconds<br>
each.<br>
<br>
2) For each trial, average the activity in each of the 90 ROIs of the aal<br>
atlas (I excluded the cerebellum from the source reconstruction).<br>
<br>
<br>
<br>
I was wondering what comparison would be best in this case. Since this is<br>
not Evoked Responses data, I find it hard to find relevant ideas, and would<br>
like to hear your thoughts.<br>
<br>
<br>
<br>
1) I did a frequency analysis (mtmfft) in conventional bands of interest<br>
and ran ft_freqstatistics on the resulting structures (using ttest2 and the<br>
bonferoni correction for the multiple comparison problem). This gave some<br>
results, however for most conditions they are not very encouraging (the<br>
ROIs that showed significant differences were not close to those that I<br>
have assumed).<br>
<br>
<br>
<br>
*QUESTION 1*: do you think this is a proper method? Note that I did not use<br>
a frequency based source reconstruction in the first place, because I'm<br>
ultimately interested in the time course in the source space.<br>
<br>
<br>
<br>
2) I was wondering if a cluster based permutation test is impossible to use<br>
here, since this is a continuous recording, so clustering according to time<br>
adjacency seems irrelevant.<br>
<br>
<br>
<br>
*QUESTION 2*: is it possible to use a cluster based statistical test here?<br>
If so, it could be better than a-priori averaging the source activity in<br>
the atlas ROIs, which could mask some of the effects, if they are located<br>
in a small area.<br>
<br>
<br>
<br>
3) Another possibility is looking at the data itself. Unfortunately I<br>
encountered some problems using ft_sourcemovie, though this is a subject<br>
for a different thread.<br>
<br>
<br>
<br>
Any thoughts and advice are highly appreciated!<br>
<br>
Thank you for taking the time,<br>
<br>
roey<br>
______________________________<u></u>_________________<br>
<br>
fieldtrip mailing list<br></div></div>
<a href="mailto:fieldtrip@donders.ru.nl" target="_blank">fieldtrip@donders.ru.nl</a> <mailto:<a href="mailto:fieldtrip@donders.ru.nl" target="_blank">fieldtrip@donders.ru.<u></u>nl</a>><br>
<a href="http://mailman.science.ru.nl/mailman/listinfo/fieldtrip" target="_blank">http://mailman.science.ru.nl/<u></u>mailman/listinfo/fieldtrip</a><br>
</blockquote>
<br>
______________________________<u></u>_________________<br>
fieldtrip mailing list<br>
<a href="mailto:fieldtrip@donders.ru.nl" target="_blank">fieldtrip@donders.ru.nl</a> <mailto:<a href="mailto:fieldtrip@donders.ru.nl" target="_blank">fieldtrip@donders.ru.<u></u>nl</a>><div><br>
<a href="http://mailman.science.ru.nl/mailman/listinfo/fieldtrip" target="_blank">http://mailman.science.ru.nl/<u></u>mailman/listinfo/fieldtrip</a><br>
<br>
<br>
<br>
<br>
______________________________<u></u>_________________<br>
fieldtrip mailing list<br>
<a href="mailto:fieldtrip@donders.ru.nl" target="_blank">fieldtrip@donders.ru.nl</a><br>
<a href="http://mailman.science.ru.nl/mailman/listinfo/fieldtrip" target="_blank">http://mailman.science.ru.nl/<u></u>mailman/listinfo/fieldtrip</a><br>
</div></blockquote>
<br>
<br>
-- <br>
Jörn M. Horschig<br>
PhD Student<br>
Donders Institute for Brain, Cognition and Behaviour<br>
Centre for Cognitive Neuroimaging<br>
Radboud University Nijmegen<br>
Neuronal Oscillations Group<br>
FieldTrip Development Team<br>
<br>
P.O. Box 9101<br>
NL-6500 HB Nijmegen<br>
The Netherlands<br>
<br>
Contact:<br>
E-Mail: <a href="mailto:jm.horschig@donders.ru.nl" target="_blank">jm.horschig@donders.ru.nl</a><br>
Tel: <a href="tel:%2B31-%280%2924-36-68493" value="+31243668493" target="_blank">+31-(0)24-36-68493</a><br>
Web: <a href="http://www.ru.nl/donders" target="_blank">http://www.ru.nl/donders</a><br>
<br>
Visiting address:<br>
Trigon, room 2.30<br>
Kapittelweg 29<br>
NL-6525 EN Nijmegen<br>
The Netherlands<div><div><br>
<br>
______________________________<u></u>_________________<br>
fieldtrip mailing list<br>
<a href="mailto:fieldtrip@donders.ru.nl" target="_blank">fieldtrip@donders.ru.nl</a><br>
<a href="http://mailman.science.ru.nl/mailman/listinfo/fieldtrip" target="_blank">http://mailman.science.ru.nl/<u></u>mailman/listinfo/fieldtrip</a><br>
</div></div></blockquote></div></div></div><br></div>
</blockquote></div><br></div></div></div>