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Hi David <br>
<br>
LIMO is not just a 2 levels mass univariate, it is a full
hierarchical GLM, ie you can do any stats you want, from t tests to
repeated measure ANOVA<br>
+ 2 level relies on robust statistics (no assumption of normality
across subjects)<br>
+ multiple comparisons has been validated (for most tests) to be a
nominal level using spatio-temporal clustering<br>
+ various tools for robust averaging, robust differences (for eg a
MMN)<br>
<br>
and more to come soon(ish)<br>
<br>
Cyril<br>
<br>
<br>
<br>
<blockquote
cite="mid:CAOgkkonjHdb_Oit2YrTxOkixDOwrfRQDTZ_G8KXgpr-219WJeg@mail.gmail.com"
type="cite">Hi Vijay, <br>
The Mass Univariate Toolbox EEGLAB plugin similarly can do the
large number of t-tests you want with savvy corrections for
multiple comparisons:<br>
<br>
<a moz-do-not-send="true"
href="http://openwetware.org/wiki/Mass_Univariate_ERP_Toolbox">http://openwetware.org/wiki/Mass_Univariate_ERP_Toolbox</a><br>
<br>
I think the main difference between it and LIMO are the
visualizations and graphical user interfaces it provides for
exploring effects.<br>
cheers,<br>
-David<br>
<br>
<div class="gmail_quote">On Wed, May 16, 2012 at 2:16 PM, cyril
pernet <span dir="ltr"><<a moz-do-not-send="true"
href="mailto:cyril.pernet@ed.ac.uk" target="_blank">cyril.pernet@ed.ac.uk</a>></span>
wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0
.8ex;border-left:1px #ccc solid;padding-left:1ex">
<div bgcolor="#FFFFFF" text="#000000"> Hi Vijay<br>
<br>
Alex proposal is fine although that assumes that you are
happy loosing information related to trial variance and also
you are not bothered by multiple comparisons (doing that
many t-test will automatically lead to some false positives)<br>
<br>
as an alternative, you can do the statistical analysis with
LIMO EEG (EEGlab toolbox to download) - that will allow you
to model congruent and incongruent conditions per subjects
and then test across subjects for a significant differences
(in fact across all electrodes and time frames and using
clustering to control the false positive rate).<br>
--> there is a tutorial which show a case very similar ..
it should be easy enough to do on your data<br>
<br>
Cyril<br>
<br>
<br>
<table border="0" cellpadding="0" cellspacing="0"
width="100%">
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<td>
<div style="display:inline">Subject: </div>
[Eeglablist] Performining the t-test and highiliting
the area</td>
</tr>
<tr>
<td>
<div style="display:inline">From: </div>
Vijay Narne <a moz-do-not-send="true"
href="mailto:vijaynarne@gmail.com" target="_blank"><vijaynarne@gmail.com></a></td>
</tr>
<tr>
<td>
<div style="display:inline">Date: </div>
11/05/2012 05:54</td>
</tr>
</tbody>
</table>
<table border="0" cellpadding="0" cellspacing="0"
width="100%">
<tbody>
<tr>
<td>
<div style="display:inline">To: </div>
<a moz-do-not-send="true"
href="mailto:eeglablist@sccn.ucsd.edu"
target="_blank">eeglablist@sccn.ucsd.edu</a></td>
</tr>
</tbody>
</table>
<br>
<div>Dear List,</div>
<div> </div>
<div> I am Vijaya Kumar Narne, PhD. We are
running the experiments on N400. We would like to compare
ERP of the congruent and incongruent condition. We are
intrested in running t-test and highliting the area of
N400 in EEGLAB. As we are new to EEGLAB, if any one help
us do this.</div>
<div> </div>
<div>Thanking you</div>
<div> </div>
Vijay<br>
<br>
<br>
<table border="0" cellpadding="0" cellspacing="0"
width="100%">
<tbody>
<tr>
<td>
<div style="display:inline">Subject: </div>
Re: [Eeglablist] Performining the t-test and
highiliting the area</td>
</tr>
<tr>
<td>
<div style="display:inline">From: </div>
Alex Davila <a moz-do-not-send="true"
href="mailto:axel.1963@hotmail.com"
target="_blank"><axel.1963@hotmail.com></a></td>
</tr>
<tr>
<td>
<div style="display:inline">Date: </div>
14/05/2012 20:26</td>
</tr>
</tbody>
</table>
<table border="0" cellpadding="0" cellspacing="0"
width="100%">
<tbody>
<tr>
<td>
<div style="display:inline">To: </div>
<a moz-do-not-send="true"
href="mailto:vijaynarne@gmail.com" target="_blank"><vijaynarne@gmail.com></a>,
<a moz-do-not-send="true"
href="mailto:eeglablist@sccn.ucsd.edu"
target="_blank"><eeglablist@sccn.ucsd.edu></a></td>
</tr>
</tbody>
</table>
<br>
Dear Vijaya,<br>
<br>
I assume that your two conditions are run on the same
participants (repeated measures). Then, what you need to do
is just this:<br>
<br>
1. Define the variable D = C - I<br>
<br>
where C: your variable for the congruent condition and I:
your variable for the incongruent condition.<br>
<br>
2. Calculate the mean M and the sample
standard deviation S for D.<br>
<br>
3. Calculate t = M/(S/rootsquare(N))<br>
<br>
where N: your number of participants.<br>
<br>
4. Depending on your hypothesis, compare your calculated t
with a one tail or two tail table t-student value. I'd
suggest to use an alpha value identical to those
available in the relevant literature.<br>
<br>
5. As you're interested in the N400 value, I assume you
may extract it from your ERP data of potentials across the
time domain where you may identify local maxima and minima
for each participant.<br>
<br>
6. Of course, before getting this data, you need to apply
the standard averaging procedure to extract the ERP signal
from the noise.<br>
<br>
All the best,<br>
<br>
Alex. <br>
<pre cols="72">--
Dr Cyril Pernet,
Academic Fellow
Brain Research Imaging Center
<a moz-do-not-send="true" href="http://www.bric.ed.ac.uk/" target="_blank">http://www.bric.ed.ac.uk/</a>
Division of Clinical Neurosciences
University of Edinburgh
Western General Hospital
Crewe Road
Edinburgh
EH4 2XU
Scotland, UK
<a moz-do-not-send="true" href="mailto:cyril.pernet@ed.ac.uk" target="_blank">cyril.pernet@ed.ac.uk</a>
tel: <a moz-do-not-send="true" href="tel:%2B44%280%291315373661" value="+441315373661" target="_blank">+44(0)1315373661</a>
<a moz-do-not-send="true" href="http://www.sbirc.ed.ac.uk/LCL/" target="_blank">http://www.sbirc.ed.ac.uk/LCL/</a>
<a moz-do-not-send="true" href="http://www.sbirc.ed.ac.uk/cyril" target="_blank">http://www.sbirc.ed.ac.uk/cyril</a>
</pre>
</div>
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</blockquote>
</div>
<br>
<br clear="all">
<br>
-- <br>
David Groppe, Ph.D.<br>
Postdoctoral Researcher<br>
North Shore LIJ Health System<br>
New Hyde Park, New York<br>
<a moz-do-not-send="true"
href="http://www.cogsci.ucsd.edu/%7Edgroppe/" target="_blank">http://www.cogsci.ucsd.edu/~dgroppe/</a><br>
</blockquote>
<br>
<br>
<pre class="moz-signature" cols="72">--
Dr Cyril Pernet,
Academic Fellow
Brain Research Imaging Center
<a class="moz-txt-link-freetext" href="http://www.bric.ed.ac.uk/">http://www.bric.ed.ac.uk/</a>
Division of Clinical Neurosciences
University of Edinburgh
Western General Hospital
Crewe Road
Edinburgh
EH4 2XU
Scotland, UK
<a class="moz-txt-link-abbreviated" href="mailto:cyril.pernet@ed.ac.uk">cyril.pernet@ed.ac.uk</a>
tel: +44(0)1315373661
<a class="moz-txt-link-freetext" href="http://www.sbirc.ed.ac.uk/LCL/">http://www.sbirc.ed.ac.uk/LCL/</a>
<a class="moz-txt-link-freetext" href="http://www.sbirc.ed.ac.uk/cyril">http://www.sbirc.ed.ac.uk/cyril</a>
</pre>
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