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<DIV dir=ltr align=left><FONT face=Arial size=2><SPAN
class=650214815-28092011>Dear Steve</SPAN></FONT></DIV>
<DIV dir=ltr align=left><FONT face=Arial size=2><SPAN
class=650214815-28092011></SPAN></FONT> </DIV>
<DIV dir=ltr align=left><FONT face=Arial size=2><SPAN
class=650214815-28092011>Thank you very much, I was able to calculate
montecarlo statistics with the fieldtrip toolbox using eeglab data.
</SPAN></FONT></DIV>
<DIV dir=ltr align=left><FONT face=Arial size=2><SPAN
class=650214815-28092011>Probably you can help me answering this question
too:</SPAN></FONT></DIV>
<DIV dir=ltr align=left><FONT face=Arial size=2><SPAN
class=650214815-28092011></SPAN></FONT> </DIV>
<DIV dir=ltr align=left><FONT><SPAN class=650214815-28092011><FONT face=Arial
size=2>How can I define neighbour-timepoints, normally all tutorials explain how
to define</FONT> <FONT face=Arial size=2>neighbour sensors or channels, but
have only 1 channel and 185 timepoints. Thus, I want to perform cluster analysis
to see whether a certain timepoint cluster is
significant.</FONT></SPAN></FONT></DIV>
<DIV dir=ltr align=left><FONT face=Arial size=2><SPAN
class=650214815-28092011></SPAN></FONT> </DIV>
<DIV dir=ltr align=left><FONT face=Arial size=2><SPAN
class=650214815-28092011>Thanks again and best wishes</SPAN></FONT></DIV>
<DIV dir=ltr align=left><FONT face=Arial size=2><SPAN
class=650214815-28092011>Caroline</SPAN></FONT></DIV>
<DIV dir=ltr align=left><FONT face=Arial size=2><SPAN
class=650214815-28092011></SPAN></FONT> </DIV>
<DIV dir=ltr align=left><FONT face=Arial size=2><SPAN
class=650214815-28092011></SPAN></FONT> </DIV><BR>
<DIV class=OutlookMessageHeader lang=de dir=ltr align=left>
<HR tabIndex=-1>
<FONT face=Tahoma size=2><B>Von:</B> fieldtrip-bounces@donders.ru.nl
[mailto:fieldtrip-bounces@donders.ru.nl] <B>Im Auftrag von </B>Stephen
Politzer-Ahles<BR><B>Gesendet:</B> Mittwoch, 28. September 2011
16:37<BR><B>An:</B> fieldtrip@donders.ru.nl<BR><B>Betreff:</B> Re: [FieldTrip]
Using fieldtrip statistic for cluster analysis of an already existing
dataset<BR></FONT><BR></DIV>
<DIV></DIV>Caroline,<BR><BR>This should be possible (I recently did something
very similar, although I was analysizing ERPs rather than ERSPs).<BR><BR>First
you need to export the data for each subject from EEGLAB to Fieldtrip using
EEGLAB's function eeg2fieldtrip(); when I did this I specified the option
'timelockanalysis' to compute ERPs of the EEGLAB data, but in your case I
guess you will want to use 'freqanalysis' instead.<BR><BR>Then, you need to
compute grand averages using ft_freqgrandaverage() with
cfg.keepindividual='yes'. Then you will be ready to perform cluster statistics
following the instructions at <A
href="http://fieldtrip.fcdonders.nl/tutorial/cluster_permutation_freq">http://fieldtrip.fcdonders.nl/tutorial/cluster_permutation_freq</A>
.<BR><BR>Best,<BR>Steve Politzer-Ahles<BR><BR>
<DIV class=gmail_quote><BR>
<BLOCKQUOTE class=gmail_quote
style="PADDING-LEFT: 1ex; MARGIN: 0px 0px 0px 0.8ex; BORDER-LEFT: #ccc 1px solid">Message:
1<BR>Date: Wed, 28 Sep 2011 10:46:16 +0200<BR>From: "Lustenberger Caroline"
<<A
href="mailto:Caroline.Lustenberger@kispi.uzh.ch">Caroline.Lustenberger@kispi.uzh.ch</A>><BR>To:
<<A
href="mailto:fieldtrip@donders.ru.nl">fieldtrip@donders.ru.nl</A>><BR>Subject:
[FieldTrip] Using fieldtrip statistic for cluster analysis of<BR>
an already existing dataset<BR>Message-ID:
<<A
href="mailto:8D58B6880DD231469FA0128331363CED03DB01AB@exzh1.kispi.int">8D58B6880DD231469FA0128331363CED03DB01AB@exzh1.kispi.int</A>><BR>Content-Type:
text/plain; charset="us-ascii"<BR><BR>Dear all<BR><BR>Using EEGlab I have
calculated ITC and ERSP of 16 subjects of 1 channel<BR>and the frequency range
1-4Hz (in average), thus I have 2 data arrays:<BR><BR>1st Condition Sham: 16 x
185 --> 16=number of subjects, 185=timepoints<BR>with event-related
spectral values or intertrial coherence values<BR>2nd Condition Field: 16 x
185<BR><BR>To see if there is any difference between the 2 conditions in
all<BR>timepoints I performed 185 paired t-tests and now I should control
for<BR>multiple comparison using a cluster analysis (meaning find out
the<BR>probability that a certain number of neighbour-timepoints
are<BR>suprathreshold).<BR><BR>Is there a possibility to do that using
fieldtrip statistics? And how<BR>can I do that?<BR><BR>Thank you very much for
your help<BR>Caroline<BR>-------------- next part --------------<BR>An HTML
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44<BR>*****************************************<BR></BLOCKQUOTE><BR></DIV><BR><BR
clear=all><BR>-- <BR>Stephen Politzer-Ahles<BR>University of
Kansas<BR>Linguistics Department<BR><A
href="http://www.linguistics.ku.edu/">http://www.linguistics.ku.edu/</A><BR></BODY></HTML>