[Eeglablist] (no subject)

[Jacob Kaisen]

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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