[Eeglablist] Reject data (all methods)

[Tarik S Bel-Bahar]

Hello Ida,

regarding your second issue, some quick thoughts:
consider using the eeg_regepochs function to
cut the data up into epochs of a size of your choosing, and then merge
the epochs
back together again (see earlier eeglab postings on merging epoched files).
If I understand correctly, the point is to get a great ica decompoisition
and then re-apply it to raw data, and then epoch again on your real epochs.

On the other hand, many people just use their real intended
epochs-of-interesst when using the
tools for detecting artifactual epochs. They remove some of these
epochs some before their first ica,
and removing some more of the epochs before doing a second ica [if
they do a second ica at all].

Good luck with your movement toward a great second ica!





On Sun, Mar 24, 2013 at 11:13 AM, ida miokovic <ida.miokovic at gmail.com> wrote:
> Dear Makoto, Mikolaj and Marco (and everyone else =)),
>
> thank you very much for your answers.
>
> Regarding 1st issue - Yes, I have been informed that there is a bug that
> causes this channels locations problem, I have seen that others reported the
> same issue, so I didn't reported it myself since it was said that this will
> be corrected in the next EEGLAB version. Marco, is it necessary for me to
> report this in order to get the developers version? How could I get it?
>
> Regarding 2nd issue - I didn't realize that mentioned methods are applicable
> only on epoched data. Are there any suggestions how to implement any kind of
> "bad" parts of the components removal, when having continuous data (before
> running second ICA)? Does EEGLAB support that? If not, any pipeline in
> MATLAB itself would be appreciated...
>
> Thank you very much again
>
> Ida
>
>
> On Fri, Mar 22, 2013 at 4:32 PM, Marco Montalto <montaltomarco at onvol.net>
> wrote:
>>
>> Dear Ida,
>>
>> Regarding Problem no. 1, I was having the same problem with the same
>> version of EEGLAB you are using. When I plotted channel locations by
>> pressing plot-2D I used to get a plot with all channels squashed in the
>> bottom left hand corner of the plot. I reported the problem. Arno reproduced
>> the problem and made the necessary changes to the developer's version of
>> EEGLAB. I am using the developer's version now and the problem is indeed
>> solved. So I would recommend that you use the developer's version to
>> overcome this problem.
>>
>> Regarding Problem no. 2, (corroborating what was said previously by
>> Mikołaj Magnuski), Reject data (all methods) is greyed out because you have
>> not extracted any epochs. Since you are using continuous data you cannot
>> make use of this function, .
>>
>> Regards,
>> Marco
>>
>>
>> 2013/3/17 ida miokovic <ida.miokovic at gmail.com>
>>>
>>> Dear list,
>>>
>>> I am running ICA decomposition on continuous data. I have several
>>> questions regarding this:
>>>
>>> 1. After applying lowpass filter and removing line noise (using Cleanline
>>> plug-in), I import the channel locations of the dataset. I am using EEGLAB
>>> v12.0.1.0b which is having issues with channel locations importing, but when
>>> I obtain ICA components, scalp maps seem to be plotted correctly, so I
>>> suppose that this bug does not influence this step? After that, I do the
>>> average reference.
>>>
>>> 2. Since I plan to run ICA second time, I should remove bad trials of the
>>> components (not entire component/s) using Tools --> Reject data using ICA
>>> --> Reject data (all methods). After doing all described above, I do not
>>> have an option to click on this tab "Reject data (all methods)" (it is
>>> grey). It is possibe to click only on "Reject components by map". Does
>>> anyone have an idea what could be the reason for this?
>>>
>>> 3. There is a suggestion that not more than 10% of the dataset should be
>>> rejected after applying all the methods I am interested in. Are some of the
>>> methods given it this menu (Find abnormal values, Find abnormal trends, Find
>>> impropable data, Find abnormal distributions, Find abnormal spectra (slow))
>>> more convenient that others and which? Which way I can calculate what is the
>>> percent of the rejected data?
>>>
>>> 4. Should the mean of the all channels be removed somewhere in this
>>> procedure and where is it suggested to be done? As I mentioned, here
>>> contiuous data is used, so there are no epochs and no need for baseline
>>> removal.
>>>
>>>
>>> Thank you very much for any help.
>>>
>>> All the best
>>>
>>> Ida
>>>
>>>
>
>
> _______________________________________________
> Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html
> To unsubscribe, send an empty email to eeglablist-unsubscribe at sccn.ucsd.edu
> For digest mode, send an email with the subject "set digest mime" to
> eeglablist-request at sccn.ucsd.edu