[Eeglablist] eeglablist Digest, Vol 101, Issue 30

Tue Mar 19 22:25:14 PDT 2013

Dear all,

I am working on eeg signal processing. I have 14 channel eeg recorded data
from emotive epoc in edf format. i am applying ica to remove artifact from
it. when i use Tools> automatic channel rejection, one of the 14 channels
is removed. For example P7 is rejected out of Af3.....Af4. After running
ica i try to use Tool>interpolate electrode to add one channel that was
rejected.  but its not working..
Now my question is how to interpolate or add one electrode which was
removed...?

On Wed, Mar 20, 2013 at 12:30 AM, <eeglablist-request at sccn.ucsd.edu> wrote:

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> Today's Topics:
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>    1. Re: MEG_data_in_EEGLAB (Makoto Miyakoshi)
>    2. Re: What to do with more than one IC per subject in a     cluster
>       (Arnaud Delorme)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Tue, 19 Mar 2013 10:43:29 -0700
> From: Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
> Subject: Re: [Eeglablist] MEG_data_in_EEGLAB
> To: Vadim A <astakhov at ncmir.ucsd.edu>, John Iversen
>         <jiversen at ucsd.edu>
> Cc: eeglablist at sccn.ucsd.edu
> Message-ID:
>         <CAEqC+SVJJoxiF1wTBtTpXxk213-adENb=
> N8218Zfs1rnfkexFQ at mail.gmail.com>
> Content-Type: text/plain; charset="iso-8859-1"
>
> Dear John,
>
> Would you mind helping him?
>
> Makoto
>
> 2013/3/18 Vadim A <astakhov at ncmir.ucsd.edu>
>
> > Hi All,
> >
> > I need to analyse  some magnetoencephalography data , can I use EEGLAb
> for
> > that?
> >
> > On the web page it is says that EEGLab can be used for MEG but I did not
> > found any tutorial how to deal with such data.
> >
> > Can somebody advice?
> >
> > Thanks a lot in advance.
> >
> > Vadim.
> >
> >
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>
>
> --
> Makoto Miyakoshi
> JSPS Postdoctral Fellow for Research Abroad
> Swartz Center for Computational Neuroscience
> Institute for Neural Computation, University of California San Diego
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> Message: 2
> Date: Tue, 19 Mar 2013 18:55:55 +0100
> From: Arnaud Delorme <arno at ucsd.edu>
> Subject: Re: [Eeglablist] What to do with more than one IC per subject
>         in a    cluster
> To: <tarikbelbahar at gmail.com>
> Cc: "eeglablist at sccn.ucsd.edu" <eeglablist at sccn.ucsd.edu>,      Aleksandra
>         Vuckovic <Aleksandra.Vuckovic at glasgow.ac.uk>
> Message-ID: <EA05868A-23B5-4CB2-BF89-3105FC5F2A25 at ucsd.edu>
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>
> Yes, this sounds like a good solution.
> When using STUDY, if you want to plot ERP for a given cluster, you may
> simply add the ERP of all components from the same subjects. The code below
> will do that and merge components if there are several per subject.
>
> clust   = 10;
> STUDY = std_erpplot(STUDY,ALLEEG,'clusters',clust);
>
> erpData  = STUDY.cluster(clust).erpdata;
> erpTimes = STUDY.cluster(clust).erptimes;
> setInds  = STUDY.cluster(clust).setinds;
>
> % scan design
> for iCell = 1:length(setInds(:))
>     % scan subjects
>     uniqueSubj = unique(setInds{iCell});
>     for iSubj = 1:length(uniqueSubj)
>         subjInd    = setInds{iCell} == uniqueSubj(iSubj);
>         erpData2{iCell}(:,iSubj) = sum( erpData{iCell}(:,subjInd), 2);
>     end;
> end;
>
> std_plotcurve(erpTimes, erpData2);
>
> Best,
>
> Arno
>
> On 15 Mar 2013, at 01:24, Tarik S Bel-Bahar wrote:
>
> > Hello,
> > Here below is an example of some code that used to work when I had to
> > merge ICs in the past,
> > So I am not sure if it still works.
> > A standardized solution would be useful.
> > If possible, any followup thoughts from Makoto or Arno would be nice.
> > For the time being, I hope it's a step in the right direction.
> >
> >
> > IC1=1;IC2=3;
> > % normalize scalp maps (columns of W^-1) to have same sign
> >    sgn = sign(corr(EEG.icawinv(:,IC1),EEG.icawinv(:,IC2)));
> >
> > % average the scalp maps
> >
> > EEG.icawinv(:,IC1) = (EEG.icawinv(:,IC1) + sgn*EEG.icawinv(:,IC2))/2;
> > EEG.icawinv(:,IC2) = [];
> >
> > % recompute weights and sphering matrix % note that we assume
> > icaweights= W*Q where Q is the "true" sphering % matrix (who's
> > information is already contained in icawinv = W^-1=A)
> >
> > EEG.icaweights = pinv(EEG.icawinv); EEG.icasphere = eye(EEG.nbchan);
> >
> > % recompute ICA activations (S = W*X)
> >
> > EEG.icaact = EEG.icaweights*EEG.data(:,:); EEG.icaact =
> > reshape(EEG.icaact,size(EEG.icaact,1),EEG.pnts,EEG.trials);
> > [ALLEEG, EEG, CURRENTSET] = eeg_store( ALLEEG, EEG, 2 ); eeglab redraw
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