[Eeglablist] the correct EEG data processing pipeline

[Baris Demiral]

I wonder de-trending and removal of channel mean can help.
One important thing is whether or not we can use the ICAs that are
found after 1hz HPF for the raw data analysis (say data after 0.1Hz
HPF). Can we replace ICs like that? Assume that I am interested in
very slow waves. What would be the strategy in this case?

I could suggest to the initial post that cleaning the data (rejecting
the portions with dramatic activity) should be done before ICA.

Second, if you are going to use adjust, you do not need to reject the
EOG with AAR, since adjust can correct it via ICA.

Best,
Baris





On Fri, Oct 19, 2012 at 12:19 PM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu> wrote:
> Dear Hui-bin,
>
> Yes. ICA can be easily disturbed by low frequency artifact such as
> sweating etc. This is why we use 1Hz high-pass, which is very high.
> You actually don't need to use this 1Hz high-passed data, because once
> you get ICA weight you can use it for 0.1Hz high-passed data, for
> example.
>
> Makoto
>
> 2012/10/19 Hui-bin Jia <420247417 at qq.com>:
>> Dear Makoto,
>>       Do you mean applying a high-pass filter before ICA will get less
>> artifact Independent components?
>> Thank you!
>>
>> Hui-bin
>>
>>
>>
>> ------------------ Original ------------------
>> From:  "mmiyakoshi"<mmiyakoshi at ucsd.edu>;
>> Date:  Fri, Oct 19, 2012 10:34 PM
>> To:  "Hui-bin Jia"<420247417 at qq.com>;
>> Cc:  "eeglablist"<eeglablist at sccn.ucsd.edu>;
>> Subject:  Re: [Eeglablist] the correct EEG data processing pipeline
>>
>> Dear Hui-bin,
>>
>> Applying a high-pass filter helps ICA, so you may want to consider it.
>>
>> Makoto
>>
>> 2012/10/18 Hui-bin Jia <420247417 at qq.com>:
>>> Hi, everyone
>>>
>>> I have been studying EEGLAB for about one year. But until now I’m not sure
>>> about my EEG data processing pipeline is right or not.
>>>
>>> My EEG data processing pipeline is:
>>>
>>> (1) Load EEG data into EEGLAB
>>>
>>> (2) Read channel locations (Edit > Channel locations)
>>>
>>> (3) Re-reference
>>>
>>> (4) Use AAR ( a plugin of EEGLAB) reject EOG and EMG
>>>
>>> (5) Run ICA and reject artifact components using ADJUST which is also a
>>> plugin.
>>>
>>> (6) Filter the data
>>>
>>> (7) Extract epochs and Remove baseline
>>>
>>> (8) Reject epochs (Tools > Reject data epochs)
>>>
>>> Is my method right?
>>>
>>> Any reply will be greatly appreciated!
>>>
>>> THANK YOU!
>>>
>>> Hui-bin Jia
>>>
>>>
>>>
>>>
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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
>
>
>
> --
> 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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