[Eeglablist] ICA component rejection
Liza Thomas
lizathomas27 at gmail.com
Mon Jul 27 08:26:44 PDT 2015
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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