Dear Neelam,<div><br></div><div><div dir="ltr">>there is 3-4 file export option. but which one of my use...???</div><div class="HOEnZb"><div class="h5"></div></div><div><br></div><div>If you are thinking about exporting the channel EEG data, well... it depends on what system you want to use to import those data, so I can't say for sure. If you will import them using matlab-based application, then you want to save them as .mat file, don't you?</div>
<div><br></div><div>Makoto</div><br><div class="gmail_quote">2013/2/23 neelam sharma <span dir="ltr"><<a href="mailto:sharma21neelam@gmail.com" target="_blank">sharma21neelam@gmail.com</a>></span><br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<div dir="ltr">Dear Makoto<div><br><div>Thank you very much for your reply. Sorry but my 2nd question exactly was, how i get corrected eeg data after component removal in txt or csv format ?? there is 3-4 file export option. but which one of my use...???</div>
</div></div><div class="HOEnZb"><div class="h5"><div class="gmail_extra"><br><br><div class="gmail_quote">On Sat, Feb 23, 2013 at 3:43 AM, Makoto Miyakoshi <span dir="ltr"><<a href="mailto:mmiyakoshi@ucsd.edu" target="_blank">mmiyakoshi@ucsd.edu</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Dear Neelam,<div><div><br></div><div>> 1. Is it neccesary to extract data epochs & why ??</div></div>
<div><div><br></div><div>If your experimental design is to examine event-related potential, yes you should. There is no why because this is tautological.</div><div>
<div><br></div><div>> 2. After running ICA how can i get eeg data back..?? <br></div><div><br></div></div><div>Yes. Running ICA actually generates additional data and does not change your channel EEG.</div><div>
<div><br></div><div>
> 3. why are these function disable. specially Tools>Reject data using ICA> <b>Reject data (all method)</b> & Tools><b> reject data epoch> reject data (all method) </b></div><div>bold letter function are disable.</div>
</div></div><div><br></div><div>This is because you are analyzing continuous data. Epoc rejection requires epoch statistics. So no epoch, no epoch rejection.<br><br>Makoto<div><div><br><br><div class="gmail_quote">
2013/2/21 neelam sharma <span dir="ltr"><<a href="mailto:sharma21neelam@gmail.com" target="_blank">sharma21neelam@gmail.com</a>></span><br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Dear all<br><div><br></div><div>I have 14 channel eeg recorded data from emotiv epoc. It is continuous data in edf format using Test bench and I want to remove artifact from it using ICA. I follow A12 Quick Tutorial Rejection & chapter 09- decomposing data using ICA from wiki tutorial. </div>
<div>I am using eeglab v 12.0.1.0.b. some function are disable during analysis of data. like Automatic epoch rejection, reject data epochs etc. And after running ICA only one function is enable i.e Tools>Reject Data using ICA> Reject component by maps.</div>
<div>when i am rejecting component and run second ICA. data gets reduced. </div><div><br></div><div>so kindly answer the following questions & suggest me easy way for data analysis of continuous eeg as soon as possible.</div>
<div><br></div><div>1. Is it neccesary to extract data epochs & why ??</div><div>2. After running ICA how can i get eeg data back..?? <br></div><div>3. why are these function disable. specially Tools>Reject data using ICA> <b>Reject data (all method)</b> & Tools><b> reject data epoch> reject data (all method) </b></div>
<div>bold letter function are disable.</div><div><br></div><div>Regards</div><div>Neelam Sharma</div></div><div class="gmail_extra"><br><br><div class="gmail_quote">On Wed, Feb 20, 2013 at 11:19 PM, <span dir="ltr"><<a href="mailto:eeglablist-request@sccn.ucsd.edu" target="_blank">eeglablist-request@sccn.ucsd.edu</a>></span> wrote:<br>
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Today's Topics:<br>
<br>
1. Standardize electrodes montage for group analysis<br>
(Iman M.Rezazadeh)<br>
2. Re: running ICA a second time (Tarik S Bel-Bahar)<br>
3. Re: Standardize electrodes montage for group analysis<br>
(Chadwick Boulay)<br>
<br>
<br>
----------------------------------------------------------------------<br>
<br>
Message: 1<br>
Date: Tue, 19 Feb 2013 16:47:08 -0800<br>
From: "Iman M.Rezazadeh" <<a href="mailto:irezazadeh@ucdavis.edu" target="_blank">irezazadeh@ucdavis.edu</a>><br>
Subject: [Eeglablist] Standardize electrodes montage for group<br>
analysis<br>
To: <<a href="mailto:eeglablist@sccn.ucsd.edu" target="_blank">eeglablist@sccn.ucsd.edu</a>><br>
Message-ID: <00e501ce0f03$d0364860$70a2d920$@<a href="http://ucdavis.edu" target="_blank">ucdavis.edu</a>><br>
Content-Type: text/plain; charset="utf-8"<br>
<br>
Dear all,<br>
<br>
Since each subject has its own head diameter thus electrode placement over the head might be slightly different !<br>
<br>
Thus, do you have any idea how to standardize the electrode configuration from different subjects for within or btw group comparison!<br>
<br>
I am using spline interpolation to convert my 128 channel data to 81 channel. However the new coordinates are still slightly different from subject to subject!<br>
<br>
<br>
<br>
Any thought???<br>
<br>
<br>
<br>
Iman M.Rezazadeh, PhD<br>
<br>
Postdoctoral Research Fellow<br>
<br>
Center for Mind and Brain<br>
<br>
University of California, Davis<br>
<br>
<<a href="http://www.linkedin.com/pub/iman-m-rezazadeh/10/859/840" target="_blank">http://www.linkedin.com/pub/iman-m-rezazadeh/10/859/840</a>> <a href="http://www.linkedin.com/pub/iman-m-rezazadeh/10/859/840" target="_blank">www.linkedin.com/pub/iman-m-rezazadeh/10/859/840</a><br>
<br>
<<a href="http://mindbrain.ucdavis.edu/people/imanmr" target="_blank">http://mindbrain.ucdavis.edu/people/imanmr</a>> <a href="http://mindbrain.ucdavis.edu/people/imanmr" target="_blank">http://mindbrain.ucdavis.edu/people/imanmr</a><br>
<br>
email : <mailto:<a href="mailto:irezazadeh@ucdavis.edu" target="_blank">irezazadeh@ucdavis.edu</a>> <a href="mailto:irezazadeh@ucdavis.edu" target="_blank">irezazadeh@ucdavis.edu</a><br>
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Tel: <a href="tel:530-297-4444" value="+15302974444" target="_blank">530-297-4444</a><br>
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Cell:<a href="tel:310-490-1808" value="+13104901808" target="_blank">310-490-1808</a><br>
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????? ???? ???????<br>
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Message: 2<br>
Date: Tue, 19 Feb 2013 20:01:03 -0500<br>
From: Tarik S Bel-Bahar <<a href="mailto:tarikbelbahar@gmail.com" target="_blank">tarikbelbahar@gmail.com</a>><br>
Subject: Re: [Eeglablist] running ICA a second time<br>
To: Veerle ROSS <<a href="mailto:veerle.ross@uhasselt.be" target="_blank">veerle.ross@uhasselt.be</a>><br>
Cc: "<a href="mailto:eeglablist@sccn.ucsd.edu" target="_blank">eeglablist@sccn.ucsd.edu</a>" <<a href="mailto:eeglablist@sccn.ucsd.edu" target="_blank">eeglablist@sccn.ucsd.edu</a>><br>
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<br>
Greetings Ross:<br>
<br>
Some brief responses to your questions below, I hope they are helpful. I've<br>
numbered the responses according to your questions.<br>
<br>
0. if you have note please search eeglab list archives where you will<br>
definitely find some past discussions.<br>
PLease read through the articles about cleaning with eeglab, which you can<br>
easily find on Google Scholar.<br>
Check out the eeglab tutorial and wiki, particular guidelines.<br>
<br>
1a. You can use PCA (see post within last 2 months on this subject based on<br>
a "should I PCA and if so what is best method")<br>
Reducing by PCA may decrease the "validity" or "truthfullness" of your ICs.<br>
Check Joseph Dien's PCA toolkit for some principled methods to do PCA.<br>
<br>
1c. You should find similar ICs after 2 ICAs, as the second ICA<br>
decomposition. The ones in the second ICA should be cleaner and more<br>
accurate.<br>
Some people just publish their first ICA results, as it is not always the<br>
case that you gain much from a second ICA.<br>
<br>
2a. I assume you have properly cleaned your data before the first ICA.<br>
My recommendation is, if you want to do a second ICA, first consider doing<br>
what eeglab documentation recommend:<br>
after your first ICA, then do artifactual epoch rejection using ICA-based<br>
rejection, then do a second ICA.<br>
<br>
2b. it's not clear what your question is, perhaps there is a word missing<br>
in your question.<br>
You could remove noisy or blink or other artifactual components if you want<br>
to, go ahead<br>
and do a second ICA, and compare the results to doing it via the method<br>
suggested in the response to 2a above.<br>
<br>
also:<br>
Check out the the ADJUST plugin (amongst others for a variety of cleaning<br>
techniques).<br>
&<br>
Note there are least three camps:<br>
a. those who use ICA just to deblink or otherwise clean their data, and<br>
then they reconstruct the EEG and do their analyses outside of ICA space.<br>
[ergo, ICA is a cleaning tool]<br>
b. those who use ICA to get ICs that reflect brain dynamics and (often)<br>
established ERP components, they do their analyses on ICs [ergo, ICA gives<br>
real brain dynamics]<br>
c. those who use PCA (with or without ICA) to decompose ERPs into spatial<br>
(and/or) temporal components, they do their analyses on PCs<br>
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Message: 3<br>
Date: Wed, 20 Feb 2013 11:36:14 +0900<br>
From: Chadwick Boulay <<a href="mailto:boulay@bme.bio.keio.ac.jp" target="_blank">boulay@bme.bio.keio.ac.jp</a>><br>
Subject: Re: [Eeglablist] Standardize electrodes montage for group<br>
analysis<br>
To: <a href="mailto:eeglablist@sccn.ucsd.edu" target="_blank">eeglablist@sccn.ucsd.edu</a>, "Iman M.Rezazadeh"<br>
<<a href="mailto:irezazadeh@ucdavis.edu" target="_blank">irezazadeh@ucdavis.edu</a>><br>
Message-ID: <<a href="mailto:5124369E.7000804@bme.bio.keio.ac.jp" target="_blank">5124369E.7000804@bme.bio.keio.ac.jp</a>><br>
Content-Type: text/plain; charset="iso-8859-1"<br>
<br>
I think the assumption is that if brain A is 10% larger than brain B<br>
then the cortical region normally associated with C3 is 10% further from<br>
the midline in brain A than it is in brain B. Thus, if you are using<br>
differently-sized caps (with different electrode spacing) for<br>
differently-sized heads then you may assume that C3 from subject A<br>
represents approximately the same patch of brain as C3 from subject B.<br>
The precise coordinates of C3 don't matter.<br>
<br>
Of course the above assumption is false not only because the head shapes<br>
vary but also because the relative skull conductance and brain<br>
curvatures vary. While having super-accurate coordinates might help<br>
overcome the problem of head shape, it won't help with the other<br>
problems. If you have anatomical MR images for each subject and you are<br>
able to coregister your electrode positions with the MRI then you may be<br>
able to use ICA+NFT+DIPFIT to identify subject-specific neurobiological<br>
'sources'. You may then use some component-clustering algorithm to<br>
figure out which component from each subject represents a particular<br>
patch of brain then do your between subject/group comparisons on those<br>
components' activations. (Notice that I skipped over the<br>
skull-conductance problem.)<br>
<br>
If you need to identify precise (not necessarily accurate) brain regions<br>
associated with your task then the above method might be for you.<br>
However, if you REALLY need to identify brain sources accurately then<br>
you might be better off going with fMRI or EEG-fMRI if time-resolution<br>
is important.<br>
<br>
If you don't need to report specific brain regions then I'd just stick<br>
with averaging across electrodes with the same name.<br>
<br>
On 2/20/2013 9:47 AM, Iman M.Rezazadeh wrote:<br>
><br>
> Dear all,<br>
><br>
> Since each subject has its own head diameter thus electrode placement<br>
> over the head might be slightly different !<br>
><br>
> Thus, do you have any idea how to standardize the electrode<br>
> configuration from different subjects for within or btw group comparison!<br>
><br>
> I am using spline interpolation to convert my 128 channel data to 81<br>
> channel. However the new coordinates are still slightly different from<br>
> subject to subject!<br>
><br>
> Any thought???<br>
><br>
> Iman M.Rezazadeh, PhD<br>
><br>
> Postdoctoral Research Fellow<br>
><br>
> Center for Mind and Brain<br>
><br>
> University of California, Davis<br>
><br>
> <a href="http://www.linkedin.com/pub/iman-m-rezazadeh/10/859/840" target="_blank">www.linkedin.com/pub/iman-m-rezazadeh/10/859/840</a><br>
> <<a href="http://www.linkedin.com/pub/iman-m-rezazadeh/10/859/840" target="_blank">http://www.linkedin.com/pub/iman-m-rezazadeh/10/859/840</a>><br>
><br>
> <a href="http://mindbrain.ucdavis.edu/people/imanmr" target="_blank">http://mindbrain.ucdavis.edu/people/imanmr</a><br>
><br>
> email : <a href="mailto:irezazadeh@ucdavis.edu" target="_blank">irezazadeh@ucdavis.edu</a> <mailto:<a href="mailto:irezazadeh@ucdavis.edu" target="_blank">irezazadeh@ucdavis.edu</a>><br>
><br>
> Tel: <a href="tel:530-297-4444" value="+15302974444" target="_blank">530-297-4444</a><br>
><br>
> Cell:<a href="tel:310-490-1808" value="+13104901808" target="_blank">310-490-1808</a><br>
><br>
> Skype: Imanmr<br>
><br>
> ????? ???? ???????<br>
><br>
> ??*?*????<br>
><br>
> /-- The information contained in this message is intended only for the<br>
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<div><br></div>
-- <br></div></div><span><font color="#888888">Makoto Miyakoshi<br>JSPS Postdoctral Fellow for Research Abroad<br>Swartz Center for Computational Neuroscience<br>Institute for Neural Computation, University of California San Diego<br>
</font></span></div>
</blockquote></div><br></div>
</div></div></blockquote></div><br><br clear="all"><div><br></div>-- <br>Makoto Miyakoshi<br>JSPS Postdoctral Fellow for Research Abroad<br>Swartz Center for Computational Neuroscience<br>Institute for Neural Computation, University of California San Diego<br>
</div>