[Eeglablist] The number of removed components

[Makoto Miyakoshi]

Dear Bin,

See the following wiki to find out how we think of ICA and data rejection.

http://sccn.ucsd.edu/wiki/Makoto's_preprocessing_pipeline

The point is that as long as you follow EEGLAB STUDY pipeline for the
group-level analysis, you don't need to bother to reject ICs manually since
it is inefficient and arbitrary.

Makoto

On Tue, Nov 4, 2014 at 12:36 PM, Bin Wang <binwang87828 at gmail.com> wrote:

> Hi, Makoto,
>
> Thank you very much. You are right.
>
> I am using a dataset with 64 channels. Normally I can get 64 ICs, so if I
> removed 20 artefact-ICs, I still have about 40 ICs that are confirmed to be
> brain activity, which is totally reasonable. As long as I can make sure
> that these 20 IC are related with artefacts, I can remove them and won’t
> remove much of my data variance. Am I right?
>
> Bin
>
>
> ++++++++++++++++++++++++++++++
> Bin Wang
> Cognitive Neuroscience
> Institute of Neuroscience and Medicine (INM-3)
> Forschungszentrum Juelich,
> Leo-Brandt-Str. 5
> 52425 Juelich
> Email: b.wang at fz-juelich.de
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>      &  binwang87828 at gmail.com
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>
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> ++++++++++++++++++++++++++++++
>
>
>
>
> On 04 Nov 2014, at 21:11, Makoto Miyakoshi <mmiyakoshi at ucsd.edu> wrote:
>
> Dear Bin,
>
> We only use up to around 20 ICs that is confirmed to be brain EEGs
> regardless of the channel number.
>
> By the way you can't say how many IC removal is appropriate. If you remove
> IC1-10 then you'll remove more than 50% of your data variance, while if you
> remove IC90-100 it could be less than 1%.
>
> Makoto
>
> On Wed, Oct 29, 2014 at 1:22 PM, Bin Wang <binwang87828 at gmail.com> wrote:
>
>> Hi, everyone,
>>
>> One simple question: I am using ICA to remove the artefact right now. How
>> many removed components is reasonable? I am using a completely automatic
>> algorithm (ADJUST) now. It seems work for most of subjects. But, it is
>> wired for one subject, I need remove 20 components of 60. Is it reasonable?
>>
>> Thank you in advance,
>> Bin
>>
>>
>>
>>
>>
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>
>
> --
> Makoto Miyakoshi
> Swartz Center for Computational Neuroscience
> Institute for Neural Computation, University of California San Diego
>
>
>


-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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