[Eeglablist] (no subject)

[Tarik S Bel-Bahar]

be careful also for "unique" brain activity related to "blink suppression"
or individual differences in blink rates



On Tue, May 15, 2012 at 11:52 AM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>wrote:

> Dear Jacob,
>
> > perform the ICA on each participant and than avoid to remove
> > IC that are not clearly related to ocular movements, am I right?
>
> This can't be wrong!
> However, it seems impossible for me to imagine that an eyes-open,
> awake subject does not show any eye movement or eye blink. I'm sure
> you'll find some ICs representing those.
>
> Makoto
>
>
>
> 2012/5/15 Jacob Kaisen <jacobkaisen at gmail.com>:
> > Dear Makoto and Tarik,
> >
> > Thanks for your very helpful comments. The idea not to perform the ICA on
> > participants who did few ocular movements came from the fact that ICA
> might
> > not identify the ocular components efficiently. I guess you are both
> > suggesting to perform the ICA on each participant and than avoid to
> remove
> > IC that are not clearly related to ocular movements, am I right?
> >
> > Thank you,
> >
> > Jacob
> >
> >
> > On Wed, Apr 25, 2012 at 8:54 AM, Tarik S Bel-Bahar <
> tarikbelbahar at gmail.com>
> > wrote:
> >>
> >> Greetings Jacob,
> >>
> >> a few quick thoughts below that may be of use in helping you make your
> >> decision.
> >>
> >> using ICA for cleaning out blinks should probably done on each
> >> recording session in your sample, not just half of it
> >> so that your data is processed in a similar manner (decomposed with ICA,
> >> blink ICs removed, and the IC data backprojected to EEG).
> >>
> >> I think it would be hard to defend the equivalence of the results from
> >> each of the
> >> differently processed datasets, or the validity of merging them.
> >> Alternatively, if you could assure that exactly the same steps (but
> >> without blink IC removal)
> >> are done to all datasets for pre-processing and analyses, you might
> find a
> >> defendable
> >> way to follow your first intuition that you mentioned.
> >>
> >> Please also try a search on the eeglab list archives on similar topics,
> >> where you should find some past related discussions.
> >>
> >> also, eeglab plugin using Gratton's regression based procedure
> >>
> >>
> http://pinguin.ds.mpg.de/~ihrke/wiki/index.php/Ocular_Correction_EEGlab_Plugin
> >> see also for possibly useful tools in your case;
> >>  http://sccn.ucsd.edu/wiki/EEGLAB_Plugins
> >>
> >> Cheers!
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >> On Mon, Apr 23, 2012 at 10:21 AM, Jacob Kaisen <jacobkaisen at gmail.com>
> >> wrote:
> >>>
> >>> Dear EEGLAB list,
> >>>
> >>> I am using ICA to remove ocular artifacts. Here is my question: as some
> >>> of my participants' signal is cleaner than others', can I use the ICA
> just
> >>> on those whose signal contains more noise?
> >>> In other words is it correct to present data that are preprocessed with
> >>> ICA just on half of the sample?
> >>>
> >>> Thank you very much,
> >>>
> >>> Kind Regards,
> >>>
> >>> Jacob
> >>>
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> >>
> >
> >
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>
>
> --
> Makoto Miyakoshi
> JSPS Postdoctral Fellow for Research Abroad
> Swartz Center for Computational Neuroscience
> Institute for Neural Computation, University of California San Diego
>
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