[Eeglablist] eeglablist Digest, Vol 101, Issue 30

Makoto Miyakoshi mmiyakoshi at ucsd.edu
Wed Mar 27 09:50:12 PDT 2013


Dear Neelam,

>If there is no need to use automatic channel rejection, then there is no
use for electrode interpolation.

I don't agree with you because you can also reject channel(s) manually.

>but still when i try to interpolate then two option comes out , click on
either use all channels from other dataset or use specific channels of
other dataset then dataset index option will come out. what should i fill
in this window...??

Yes, that is supposed to happen. You should have a channel-reduced dataset
and full-channel dataset on EEGLAB, and select your channel-reduced dataset
and run the function, and select the dataset index of full-channel dataset.

Makoto

2013/3/24 neelam sharma <sharma21neelam at gmail.com>

> If there is no need to use automatic channel rejection, then there is no
> use for electrode interpolation. but still when i try to interpolate then
> two option comes out , click on either use all channels from other dataset
> or use specific channels of other dataset then dataset index option will
> come out. what should i fill in this window...??
>
>
> On Fri, Mar 22, 2013 at 10:30 PM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>wrote:
>
>> Dear Neelam,
>>
>> If you have only 14 channels, do not use automatic channel rejection.
>> That function is for the channel-rich.
>>
>> >After running ica i try to use Tool>interpolate electrode to add one
>> channel that was rejected.  but its not working..
>>
>> Make sure you specify a dataset that has complete channel set. Could you
>> check it again?
>>
>> Makoto
>>
>> 2013/3/19 neelam sharma <sharma21neelam at gmail.com>
>>
>>> 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:
>>>>
>>>>    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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>>>> ------------------------------
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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>
>>>> Content-Type: text/plain; charset="us-ascii"
>>>>
>>>> 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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>>>> End of eeglablist Digest, Vol 101, Issue 30
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>>>
>>>
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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
>>
>
>


-- 
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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