[Eeglablist] Removing redundancies from overlapping epochs prior to ICA

[Makoto Miyakoshi]

Dear Michael,

Let's say you have stimulus presentation every 1 second.
When you epoch data, epoch it to -1 to 2 sec (Dataset A) and 0 to 1 sec
(Dataset B). You thoroughly clean Dataset B for ICA. When done, copy ica
weight matrix from Dataset B to Dataset A (you can do it using GUI) and run
dipfit. If necessary, clean Dataset A mildly.

> putting the epochs back after ICA?

This is technically feasible but complicated. I don't recommend it unless
you have special reason to do it.

If you are interested developing your own tool outside EEGLAB, I'd like to
point you to one of my plugins ARfitStudio in which I use mcolon() to crop
out and put back epochs efficiently.

Makoto

On Wed, Jun 17, 2015 at 4:06 PM, Michael Spezio <mspezio at scrippscollege.edu>
wrote:

>  Hi Makoto,
>
>
>  Do you have an efficient way of removing data redundancies that are due
> to overlapping epochs prior to ICA, and then putting the epochs back after
> ICA? I noticed that in your pipeline, you say that overlapping epochs are
> fine but they must be handled to avoid redundancy prior to ICA.
>
>
>  How best to do this so that one can add back the required epochs
> following ICA?
>
>
>  Thanks for your help with this.
>
>
>  Best,
>
>
>  Michael
>
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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