[Eeglablist] ICA component rejection

[Jordi Solé-Casals]

Maybe this paper can also be of interest in this case:

"Towards Semi-Automatic Artifact Rejection for the Improvement of
Alzheimer’s Disease Screening from EEG Signals"
http://www.mdpi.com/1424-8220/15/8/17963

Regards
Jordi



2015-07-28 0:26 GMT+09:00 Liza Thomas <lizathomas27 at gmail.com>:

>  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
>>>>>
>>>>>  _______________________________________________
>>>>> Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html
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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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>
>


-- 
Jordi Solé-Casals
Head of the Research Group in Data and Signal Processing (DSP)
<http://mon.uvic.cat/eps/research/research-groups/research-group-on-data-and-signal-processing/>
UScienceTech: Experimental Sciences and Technology
<http://mon.uvic.cat/eps/>
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