[Eeglablist] Statisitcs of ersp and itc - control for multiple comparison

[Arnaud Delorme]

Dear Caroline,

the default method in EEGLAB to correct for multiple comparison is the FDR method.
The cluster method is not available yet although we have run it using hacks of the Fieldtrip implementation.
For the stable implementation at the STUDY level, we are planning to re-use the cluster method implemented in LIMO EEG, which is a powerful EEGLAB compatible toolbox for statistical analysis and GLM

https://gforge.dcn.ed.ac.uk/gf/project/limo_eeg/

Their cluster analysis is the same as the one in Fieldtrip but it is easier to use and has a direct interface.
If anybody is interested in helping with that, please let us know.
Thanks,

Arno

On Sep 28, 2011, at 2:22 AM, Lustenberger Caroline wrote:

> Dear all
>  
> Using EEGlab I have calculated ITC and ERSP of 16 subjects of 1 channel and the frequency range 1-4Hz (in average), thus I have 2 data arrays:
> I have no baseline for ITC and ERSP therefore I just have spectral power values (no change) and ITC after the pulse. To see whether my condition has any effect on the event related response I performed a within subjects statistic
>  
>  
> 1st Condition Sham: 16 x 185 --> 16=number of subjects, 185=timepoints (after pulse) with event-related spectral values or intertrial coherence values
> 2nd Condition Field: 16 x 185
>  
> To see if there is any difference between the 2 conditions in all timepoints I performed 185 paired t-tests and now I should control for multiple comparison using a cluster analysis (meaning find out the probability that a certain number of neighbour-timepoints are suprathreshold).
>  
> Is there a possibility to do that using eeglab statistics? And how can I do that?
>  
> Thank you very much for your help
> Caroline
>  
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