[Eeglablist] Comparison of statistical and correction methods in Eeglab

[Arnaud Delorme]

Dear Michal,

very nice. 

On thing you would do is to use the cluster correction algorithm on you 2-D matrix (time x channels), otherwise you p-value are not corrected for multiple comparison across time points.

You might also want to fix the scale for the ERSP. You could also avoid plotting the contour lines for the values in topoplot, as this could be distracting during the animation. Finally, you could try to apply a 2-D convolution (conv2 function) to smooth values before rendering them and avoid sharp changes (bear in mind, the movie will be not statistically perfectly valid though).

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/
> 
> 
> 
> _______________________________________________
> Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html
> To unsubscribe, send an empty email to eeglablist-unsubscribe at sccn.ucsd.edu
> For digest mode, send an email with the subject "set digest mime" to eeglablist-request at sccn.ucsd.edu