[Eeglablist] eye artifact correction

[Michael Plöchl]

Hi,

You also might be interested in our very recent paper in which we address these issues: We investigate a wide range of ocular artifacts and show why ICA is in principle suited to independently remove eye movement artifacts while regression based methods are prone to over- or under-correct the data. Furthermore we propose a procedure, which uses eye tracker information to objectively identify eye-artifact related ICA-components (ICs) in an automated manner. For our data this procedure performed very similar to human experts when those were given both, the topographies of the ICs and their respective activations in a large amount of trials. Moreover it performed more reliable and almost twice as effective than human experts when those had to base their decision on IC topographies only.

You can access the paper via the following link:

http://www.frontiersin.org/Human_Neuroscience/10.3389/fnhum.2012.00278/full

I hope this is helpful.

Best, 
Michael

On Oct 17, 2012, at 12:09 AM, Scott Makeig wrote:

> We routinely and quite successfully use ICA decomposition for this. Both CORRMAP and a new function by Nima Bigdely-Shamlo are quite good, we believe, at indicating which ICs (independent components) account for eye movements... 
> 
> Scott Makeig
> 
> On Tue, Oct 16, 2012 at 10:09 AM, Ricardo Moura <ricardoojm at gmail.com> wrote:
> By the way, does anyone know a plugin for ocular correction which can be aplyed to continuous data? 
> I've checked and this plugin reported in the first email only works for segmented data.
> 
> Best,
> Ricardo
> 
> 
> On 11 October 2012 22:36, Arnaud Delorme <arno at ucsd.edu> wrote:
> Dear Le,
> 
> the correction method you mention is an EEGLAB plugin so you might want to contact the authors of the plugin directly.
> The problem might be that the plugin only works on continuous data not on segmented data.
> Hope this helps,
> 
> Arno
> 
> On 2 Oct 2012, at 08:17, Thang Le wrote:
> 
>> Hi everyone,
>> 
>> I am running into a problem with the Gratton's ocular correction method in EEGLAB and I was wondering whether you could help me troubleshoot. 
>> 
>> I have been attempting to apply the Gratton's ocular correction method to a 64-channel data set. The two EOG channels are 65 and 66. So far I have downsampled the data to 256Hz, rereferenced and segmented. The values I used for Gratton's were: 
>> 
>> Number of EOG channel for regression: [65 66]
>> Channels: [1 64]
>> Window for Blink-detection: 24
>> Voltage for Blink-detection: 200
>> 
>> However, EEGLAB would give me an error message that says "To RESHAPE the number of elements must not change". I wasn't sure what to use for blink window but it does not look like 24 is the right value.
>> 
>> Thank you so much for your help.
>> 
>> Le
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> -- 
> Scott Makeig, Research Scientist and Director, Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla CA 92093-0559, http://sccn.ucsd.edu/~scott
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