[Eeglablist] ICA component rejection

[Makoto Miyakoshi]

Dear Liza,

None of us in SCCN is actively working on this topic. Probably you'd better
contact the authors.

Makoto

On Mon, Jul 27, 2015 at 8:26 AM, Liza Thomas <lizathomas27 at gmail.com> wrote:

> hi all
> anybody working on
> " EEG artifact elimination by extraction of ICA-component features
> using image processing algorithms" by
> T. Radüntza,∗, J. Scoutena, O. Hochmuthb, B. Meffertb
>
> On Sat, Jul 25, 2015 at 2:21 AM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
> wrote:
>
>> 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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>
>


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