[Eeglablist] EOG channels included in ICA and DIPFIT

[Benedikt Ehinger]

Hi Arno,

could you elaborate on why to not include them? Did you experience
multiple eye-components, one for the EEG-electrodes and one for the
bipolar eye-electrodes or are there other problems?

Best,
Benedikt
Am 10.05.2017 um 18:22 schrieb Arnaud Delorme:
> Dear Alessio,
> 
> Yes, include the EOG channels but as long as they have the same
> reference as the scalp channels. Otherwise, do not include them.
> Best wishes,
> 
> Arno
> 
>> On May 10, 2017, at 7:33 AM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu
>> <mailto:mmiyakoshi at ucsd.edu>> wrote:
>>
>> Dear Alessio,
>>
>> Getting back to you after 3 month!
>>
>> > how to deal with ICs where EOG contributes for example for 20%, or
>> 40%, or 60%?
>>
>> This is a good question.
>> Usually EOG is decomposed well, so the result is rather black and
>> white. You can reduce it by optimizing settings (using proper
>> preprocessing and parameters.) 
>>
>> However, sometimes this mixture of brain EEG and non-brain artifact
>> happens. In this case, you are forced to choose either false positive
>> (include them) or false negative (exclude them). I tend to include
>> them. If you exclude them, you typically find no frontal ICs.
>>
>> Makoto
>>
>>
>>
>>
>> On Sun, Feb 12, 2017 at 1:31 AM, Alessio Matiz <muec at inbox.com
>> <mailto:muec at inbox.com>> wrote:
>>
>>     Very dear EEGLAB-list,
>>
>>     is it correct to fit dipoles (via DIPFIT2-plugin) to ICs that have
>>     been found including EOG channel in the ICA decomposition (as Arno
>>     suggested in
>>     https://sccn.ucsd.edu/pipermail/eeglablist/2007/001801.html
>>     <https://sccn.ucsd.edu/pipermail/eeglablist/2007/001801.html>)?
>>
>>     From my datasets I removed ICs where EOG channel contributes for
>>     >90% of IC power (considering them artifactual ICs), but how to
>>     deal with ICs where EOG contributes for example for 20%, or 40%,
>>     or 60%?
>>
>>     Thanks,
>>     Alessio
>>
>>
>>
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>>
>>
>>
>> -- 
>> Makoto Miyakoshi
>> Swartz Center for Computational Neuroscience
>> Institute for Neural Computation, University of California San Diego
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