[Eeglablist] AMICA to clean eye blinks on 8-channel EEG

[Cedric Cannard]

Hi Liao,

You could try ASR with the clean_rawdata (in eeglab Tools). It works pretty well on low-density systems (as low as 4 channels was validated), with the Euclidean method (rejection of artifactual segments).
The channel rejection does not work well though as it requires neighboring channels (high-density). You can try it but will probably need to uncheck the box and reject bad channels manually before running ASR.

On Fri, Jul 1, 2022 at 19:01, Jason Palmer <japalmer29 at gmail.com> wrote:

> Hi Ke,
>
> 8 channels is probably too few for ICA to effectively separate the EEG
> sources. When the number of sources (eye blink, Sacramento, scalp muscle,
> heartbeat, brain sources, artifacts, line noise, ....) is greater than the
> number of channels, ICA will fail to separate the sources, e.g. the eye
> blinks.
>
> When you have too few channels to isolate the eyeblink in a single source
> (you can examine the IC activations), then regression techniques, like
> Gratton, may be the best option.
>
> Best,
> Jason
>
> On Fri, Jul 1, 2022, 2:00 PM liao ke <kekeliao at gmail.com> wrote:
>
>> Dear All,
>>
>> I have a problem to use AMICA to clean eye blinks on 8-channel EEG and want
>> to get your help.
>>
>> The EEG is continuous data ~10 min. There are many eyeblinks on frontal
>> channels like Fp1 & Fpz. AMICA can separate eye blink IC component and Fp1
>> & Fpz are well cleaned after removing the eye IC. But it creates many
>> eyeblink-like artifacts on other channels like Oz & Pz at the time when the
>> original blinks exist. It looks like when removing the blinks, those
>> channels subtract the blinks and therefore create blink-like negative
>> peaks.
>>
>> What's the best way to clean the eyeblinks on this continuous EEG data?
>> Since we don't want to get any data segment removed, we don't use
>> Clean_rawdata() and ASR to remove blinks.
>>
>> Is there other tool to clean blinks for continuous EEG ? My
>> colleague suggests to use Gratton algorithm but it looks only works for
>> epoch data.
>>
>> Thank you very much for your help!
>>
>> Best,
>> Ke
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