[Eeglablist] ICA component rejection
mmiyakoshi at ucsd.edu
Fri Jul 24 13:51:45 PDT 2015
Read Scott Makeig's papers. You'll see bunch of good ICs with spectra.
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.
> On Fri, Jul 24, 2015 at 11:46 AM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
>> 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).
>> 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
>> 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
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>> Makoto Miyakoshi
>> Swartz Center for Computational Neuroscience
>> Institute for Neural Computation, University of California San Diego
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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