[Eeglablist] Details of analysing data

[Tarik S Bel-Bahar]

Hello Fang-yu, some responses below. Cheers!

1.
If you apply the 1 hz ICA results to the .01 hz files, you may have some
problem. Google the eeglab list for previous mentions of this. It's kind of
a problem, as 1 hz highpass if recommended for good ICA decompositons, but
filtering can create artifacts in erps and eeg. It's best to follow steps
in a top-level publication using the technique (a recent eeglab paper where
you see this done).

To apply the ICA you need same channels in the file without ICA and the
file with ICA.

2.
Eyeblink ICs are not usually removed at the creation of the study when the
ICs with high-dipole variance are removed from consideration. Eyeblink and
lateral ICs usually have (incorrect) inside-the-head localizations near the
eyes. You will usually get a cluster of eyeblink ICs in the study IC
clusters. You may also use the eyeblink-specific eeglab toolboxes, or the
ICA-rejection toolboxes including SASICA or  IC-MARC from Frolich, which
can also detect blink and lateral eye artifact.

3.
Double check that you are are discarding the one channel AFTER you average
reference. This might help the message go away.
Google the eeglab list for past extensive discussions on the topic of rank
and some common error messages/questions, including response from Jason
Palmer and Makoto.





On Mon, Jun 13, 2016 at 10:07 AM, Fang-Yu Chang <hardheard101 at gmail.com>
wrote:

> Dear EEGLABlisters,
>
> I would like to ask three questions.
>
> First,
> If I would like to apply ICA metrics which is from high-pass at 1 hz to
> high-pass at 0.01hz dataset, should the dataset be same condition? In my
> situation, before running ICA, should removed bad channels be the same for
> both 1 Hz and 0.01 Hz high-pass filtered datasets.
>
> Second,
> About creating STUDY. By "Makoto's preprocessing pipeline" reads "Importantly,
> creating STUDY means you clean your data, because you can 1) Exclude
> dipoles with > 15% residual variance (Artoni et al., 2014), and 2) outside
> brain. Don't forget that this is very powerful cleaning, and this is why
> you don't need to manually reject ICs at the individual level. Don't forget
> to set STUDY.design before you start precompute." My question is can eye
> blinks be removed as well during this step?
>
> Third,
> I applied 1 Hz high-pass filter, imported channel location, removed bad
> channels, did re-reference to average (discard 1 channel) and then ran ICA.
> However, there was a message showing a rank-deficient in the dataset.
> Should I continue anyways? Or are there any other ways to solve this kind
> of problem?
>
> Thanks your help in advance.
>
> Sincerely,
> Fang-Yu Chang
>
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