[Eeglablist] Data Processing Steps for ICA?

[Makoto Miyakoshi]

Dear Paul,

I made this page for you.
http://sccn.ucsd.edu/wiki/Preprocess_pipeline

> 1. When to perform base-line correction:
It seems most people suggest not to do it before ICA training based on
Groppe's 'split-half' paper:
http://sccn.ucsd.edu/pipermail/eeglablist/2010/003080.html
http://sccn.ucsd.edu/pipermail/eeglablist/2014/008854.html
But there are some counterarguments:
http://sccn.ucsd.edu/pipermail/eeglablist/2012/005513.html
So I guess it's still better to do it after ICA?

Yes, do it after ICA.

> 2. When and how to perform re-referencing:
It seems I should re-reference to average before ICA, but there seems to be
some counterarguments, too:
http://sccn.ucsd.edu/pipermail/eeglablist/2014/008309.html
http://sccn.ucsd.edu/pipermail/eeglablist/2014/008854.html
http://sccn.ucsd.edu/pipermail/eeglablist/2003/000090.html

Just re-reference to the average reference. Don't forget to reject one
channel after this.

> I'm not pretty sure whether to include EOG channels either, as there
seems to be pros and cons:
http://sccn.ucsd.edu/pipermail/eeglablist/2014/008854.html
http://sccn.ucsd.edu/pipermail/eeglablist/2007/001801.html

Do include EOG channels for ICA. I made a wrong answer last time.

Makoto

On Sat, Oct 25, 2014 at 2:54 AM, Paul Yu-Chun Chang <Y.Chang at lipp.lmu.de>
wrote:

> Dear All,
>
> I have 32-channel Neuroscan recordings (ca. 1 hr per subject) and am
> recently trying to use ICA to remove blinks and eye movements from the data
> (EEGLAB version 12.0.2.4b). After checking out some relevant
> discussions/wiki pages/tutorials I find myself however still a bit confused
> (particularly regarding re-referencing, baseline correction, and channels
> to be included when running ICA) and am having some further questions. I'd
> really appreciate your help.
>
> Some essential steps as I understand now involve (pls correct me if I'm
> wrong):
>
> 1. Reject bad epochs/channels to prune the data.
> (source: http://sccn.ucsd.edu/wiki/Chapter_09:_Decomposing_Data_Using_ICA
> ;
> http://sccn.ucsd.edu/eeglab/workshop06/handout/Practicum_3_ICA_Process.pdf
> )
> 2. Train ICA firstly on 1 Hz high-pass filtered pruned dataset.
> 3. Apply ICA weights to the same subject's 0.1 Hz high-pass filtered data
> and evaluate components.
> (source: http://sccn.ucsd.edu/pipermail/eeglablist/2011/004424.html)
> 4. Interpolate bad channels.
>
> I'm however not so clear about:
>
> 1. When to perform base-line correction:
> It seems most people suggest not to do it before ICA training based on
> Groppe's 'split-half' paper:
> http://sccn.ucsd.edu/pipermail/eeglablist/2010/003080.html
> http://sccn.ucsd.edu/pipermail/eeglablist/2014/008854.html
> But there are some counterarguments:
> http://sccn.ucsd.edu/pipermail/eeglablist/2012/005513.html
> So I guess it's still better to do it after ICA?
>
> 2. When and how to perform re-referencing:
> It seems I should re-reference to average before ICA, but there seems to
> be some counterarguments, too:
> http://sccn.ucsd.edu/pipermail/eeglablist/2014/008309.html
> http://sccn.ucsd.edu/pipermail/eeglablist/2014/008854.html
> http://sccn.ucsd.edu/pipermail/eeglablist/2003/000090.html
>
> I'm not pretty sure whether to include EOG channels either, as there seems
> to be pros and cons:
> http://sccn.ucsd.edu/pipermail/eeglablist/2014/008854.html
> http://sccn.ucsd.edu/pipermail/eeglablist/2007/001801.html
>
> Also is it all right to use average of M1/M2 (mastoid sites) for
> re-referencing instead? Should M1/M2 be included for ICA training?
>
> Many thanks!
>
> Paul
>
>
>
>
>
>
>
>
> --
>
> Paul Yu-Chun Chang
> Graduate School Language & Literature Munich - Class of Language
> Ludwig-Maximilians-Universität München
> Schellingstraße 10
> 80799 München, Deutschland
> Email: Y.Chang at lipp.lmu.de
>
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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