[Eeglablist] ICA component rejection

Makoto Miyakoshi mmiyakoshi at ucsd.edu
Fri Jul 24 13:51:45 PDT 2015


Dear Raju,

Read Scott Makeig's papers. You'll see bunch of good ICs with spectra.

Makoto

On Fri, Jul 24, 2015 at 1:34 PM, seetaramaraju jampana <
seetaramaraju.jampana at gmail.com> wrote:

> Hi Makoto,
>
>     Thank you for the reply.
>     Can you send me some good figures of frequency power spectrum of the
> IC.Also can you share the independent components of a good EEG data.
>
> Thanks,
> 'Raju
>
>
>
> On Fri, Jul 24, 2015 at 11:46 AM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
> wrote:
>
>> Dear Raju,
>>
>> Sorry to tell you this but the 21 ICs are all noise.
>>
>> I strongly recommend you perform preprocess again. Read this page and
>> check the steps. You may want to consider using PREP pipeline by Nima
>> Bigdely-Shamlo (described in the wiki).
>> http://sccn.ucsd.edu/wiki/Makoto's_preprocessing_pipeline
>>
>> Good ICs are determined by
>> 1. Dipolarity of the IC scalp maps (see Delorme et al. 2012 PLoS One)
>> 2. Frequency power spectrum of the ICs
>> 3. ERP or ERSP (if available)
>> Note this kind of evaluation (or interpretaion) is dependent on the
>> experimental paradigms.
>>
>> Also, remember 'Garbage in, Garbege out'; if the experimental design is
>> screwed up, you don't get EEG even if you use the fanciest preprocessing
>> methods.
>>
>> Makoto
>>
>> On Fri, Jul 24, 2015 at 6:38 AM, seetaramaraju jampana <
>> seetaramaraju.jampana at gmail.com> wrote:
>>
>>> Hi ,
>>>
>>>     How to reject ICA components by map. I mean to say , when the
>>> components maps are generated what are the areas to look out which suggest
>>> that the particular components has to be rejected.
>>>    For Eg. the component map has been generated so which components are
>>> fit for rejection.The compononents maps link is
>>>
>>>
>>> https://www.dropbox.com/s/ixwz55hnv3a0pen/EEG_components.bmp?dl=0
>>> <https://www.dropbox.com/s/ixwz55hnv3a0pen/EEG_components.bmp?dl=0>
>>>
>>> Thanks,
>>> Raju
>>>
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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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