[Eeglablist] Any tips for unsupervised (sic) ICA ECG / EOG component, rejection?

[Arnaud Delorme]

Dear Panagiotis,

the CORRMAP plugin is included by default in EEGLAB 10 and we have reworked it to be compatible with EEGLAB STUDY ICA clusters.
It is a very powerful tool. I have tried once on 19 subjects to check what type of blink ICA components it was detecting and the match with my manual selection was 100%. Then I tried with lateral eye movement and again 100% accurate detection and no false alarms. 
Anedoctal but still,

Arno

On Jul 27, 2011, at 12:34 PM, Jan R Wessel wrote:

> Dear Panagiotis,
> 
> have you tried Felipa Viola's EEGlab plugin CORRMAP? (Viola et al., Clin 
> Neurophys 2009)
> I use it for horizontal and vertical eyemovements all the time and it 
> works like a charm (with a few minor tweaks, like removing the 3 IC 
> maximum constraint when using non-PCA preprocessed high-density arrays 
> which sometimes results in overfitting, i.e. the representation of 
> eyeblinks in more than 3 ICs).
> 
> If I remember correctly, they also describe that it works quite well for 
> ECG artifacts in their paper. So I highly recommend you check it out 
> (both the paper and the algorithm. It's mainly based on correlations, 
> but has a neat way of determining a cutoff threshold).
> You can call CORRMAP from the EEGLAB GUI under the "study" option, I think.
> Type "edit corrmap" into your command line to access the function itself.
> 
> Also, there have been a couple more papers on the automated rejection of 
> artifacts based on IC properties, one from Robert Whelan / H. Nolan and 
> colleagues of Dublin, called FASTER (J Neurosci Meth 2010), and one 
> called ADJUST (Mognon et al., Psychophys 2010).
> I haven't used the latter two methods yet, but those papers are also a 
> good place to look for ideas for automated rejection (I think FASTER 
> uses a couple of z-thresholded metrices).
> 
> I also remember two people from SCCN trying to establish a pattern 
> recognition plugin for this exact purpose, but I don't know whether this 
> is out yet. But I can assure you, once it is, it'll probably be amazing.
> 
> Anyhow, have fun with automated IC rejection / selection, it's a very 
> interesting topic indeed.
> 
> Cheers,
> Jan
> 
> -- 
> 
> Dr. Jan R. Wessel
> Cognitive Neurology Research Group
> Max Planck Institute for Neurological Research
> Gleueler Strasse 50, 50931 Koeln
> http://www.nf.mpg.de/cv/jan-wessel.html
> 
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