[Eeglablist] Comparison of statistical and correction methods in Eeglab

[Arnaud Delorme]

Dear Michal,

> I am not aware of cluster correction algorithms either in Eeglab or in general EEG processing. Can you provide me some info (Matlab function or code example) how to apply it to time x channel matrix?

This method is based on the following article

E. Maris, R. Oostenveld / Journal of Neuroscience Methods 164 (2007) 177–190.
http://biomagnet.uni-muenster.de/PDF_library/006611.pdf

It is according to G. Roussellet, the only valid method to correct for multiple comparison because it is the only one that correctly control for type I error rate. It is implemented in EEGLAB which uses the FIeldtrip implementation. A large number of functions are called so I cannot point at a single one.

> The video is proposed to help to "look where and when" interesting things happens for further visualisations. What do you consider as "not perfect"? Are there problems with short time periods or there are some mathematical limitations of this method?

You need to correct for multiple comparison across time as well if you want the movie to be valid. Also, I was concerned about the smoothing. However, if you get you mask for statistics on the non-smoothed data, save it, then smooth the data across time and space, then apply the mask you saved, I think you should be fine.

Arno


> 
> Thanks for your answer
> 
> Michal
> 
>> Arno
>> 
>> On Sep 26, 2013, at 4:42 AM, Michal Vavrecka <vavrecka at fel.cvut.cz> wrote:
>> 
>>> Dear Eeglab users,
>>> 
>>> I wrote a short code that allows to visualize p-values for specific
>>> statistical and correction methods in Eeglab. You can watch their power.
>>> The data came from experiment based on presentation of affective stimuli.
>>> 
>>> Video - http://youtu.be/vH1G4P1BGBI - (best in HD)
>>> 
>>> Looking forward to read your comments
>>> 
>>> Michal
>>> 
>>> -- 
>>> Michal Vavrecka
>>> assistant professor
>>> Biodat Research Group
>>> Incognite Research Unit
>>> FEE CTU
>>> Karlovo nam. 13
>>> Prague 2
>>> phone: +420224357609
>>> cell: +420608661977
>>> personal: http://bio.felk.cvut.cz/~vavrecka/
>>> groups: http://incognite.felk.cvut.cz/
>>> http://bio.felk.cvut.cz/
>>> 
>>> 
>>> 
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> 
> 
> -- 
> Michal Vavrecka
> assistant professor
> Biodat Research Group
> Incognite Research Unit
> FEE CTU
> Karlovo nam. 13
> Prague 2
> phone: +420224357609
> cell: +420608661977
> personal: http://bio.felk.cvut.cz/~vavrecka/
> groups: http://incognite.felk.cvut.cz/
> http://bio.felk.cvut.cz/
>