<div dir="ltr">Thank you Zeynep! When will SCALE be a functional toolbox for EEGLAB? And to be clear, it does require a structural MR scan of each subject, correct?<div><br></div><div>James<br><div class="gmail_extra"><br><div class="gmail_quote">On Wed, Aug 12, 2015 at 3:00 PM, <span dir="ltr"><<a href="mailto:eeglablist-request@sccn.ucsd.edu" target="_blank">eeglablist-request@sccn.ucsd.edu</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Send eeglablist mailing list submissions to<br>
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<br>Today's Topics:<br>
<br>
1. how can i fix bem_metrix.exe its cusses my matlab to crush<br>
due to runtime problem (Yair Massury)<br>
2. Subjects head radius in DIPFIT2 (Mostafa IR)<br>
3. Why do I have to duplicate the labels used in classification<br>
process? (Sahar Selim)<br>
4. Re: Topography maps of continuous data (Stephen Politzer-Ahles)<br>
5. Re: Couldn't able to load channel location file<br>
(Stephen Politzer-Ahles)<br>
6. Re: Topography maps of continuous data (Stephen Politzer-Ahles)<br>
7. Paper on skull conductivity estimation (Zeynep Akalin Acar)<br>
8. Re: How to determine the type of events in the dataset<br>
(Stephen Politzer-Ahles)<br>
<br><br>---------- Forwarded message ----------<br>From: Yair Massury <<a href="mailto:massury@gmail.com">massury@gmail.com</a>><br>To: <<a href="mailto:eeglablist@sccn.ucsd.edu">eeglablist@sccn.ucsd.edu</a>><br>Cc: <br>Date: Tue, 11 Aug 2015 15:06:59 +0300<br>Subject: [Eeglablist] how can i fix bem_metrix.exe its cusses my matlab to crush due to runtime problem<br><div dir="rtl"><div dir="ltr">I am running matlab R2014b on windows 10 OS.</div><div dir="ltr">it's seem that the problem originated from the <font color="#000000">bem_matrix.exe which </font><span style="color:rgb(0,0,0)">compiled with cygwin.</span></div><div dir="ltr"><pre style="color:rgb(0,0,0)">I hope that compile <span style="font-family:arial,sans-serif">bem_matrix.exe</span><span style="font-family:arial,sans-serif"> with Visual Studio will solve the problem but i don't have the source code.</span></pre><pre><font color="#000000">"<b>This application has requested the Runtime to terminate it in an unusual
way.
Please contact the application's support team for more information."</b></font></pre><div>is anybody else encounter this problem? and if so how did you solve that.</div><div><br></div><div>i have tried a few suggestions on line, but with no help.</div><div><br></div><div><br></div></div></div>
<br><br>---------- Forwarded message ----------<br>From: Mostafa IR <<a href="mailto:mostafa.rouzbahani@gmail.com">mostafa.rouzbahani@gmail.com</a>><br>To: EEGLAB List <<a href="mailto:eeglablist@sccn.ucsd.edu">eeglablist@sccn.ucsd.edu</a>><br>Cc: <br>Date: Tue, 11 Aug 2015 13:17:01 +0430<br>Subject: [Eeglablist] Subjects head radius in DIPFIT2<br><div dir="ltr"><div>Hi eeglab<br><br></div><div> I have questions about different subject heads radius. I used >>pop_chanedit to set subjects head radius on my owns. These radius are less than 85.In DIPFIT2 head model and settings, I used BESA head model which have 85 spherical head radius. Then I manually co-register the channels. After that I used the auto-fit for locating the dipoles. I check the option to remove dipoles outside the heads. After fitting, all of my dipoles removed because all of them located outside the head. If I fitting the dipoles location without remove outside head option, I can have them all.<br>Are you think this is because of my head radius? If yes Is there any way to decrease the head size in DIPFIT2 to my owns?<br><br></div><div>Thanks<br></div><div>Mostafa Rouzbahani<br></div></div>
<br><br>---------- Forwarded message ----------<br>From: Sahar Selim <<a href="mailto:sahar.soussa@gmail.com">sahar.soussa@gmail.com</a>><br>To: undisclosed-recipients:;<br>Cc: <br>Date: Wed, 12 Aug 2015 11:32:19 +0200<br>Subject: [Eeglablist] Why do I have to duplicate the labels used in classification process?<br><div dir="ltr"><div>Dear All,<br></div><div><br></div><div>I'm using the BCI Competition dataset IV 2a. I'm working on Left & right hand movement. I extracted data of channels (Fz,Cz,Pz). </div><div>I filtered data [8-30], then normalized it. Then, I calculated the common spatial patterns of the training dataset using the CSP.m of the Biosig toolbox</div><div>I want to use the "train_sc" to classify my data.</div><div><br></div><div>My question is why do I need to duplicate the labels of each event? </div><div><br></div><div>ex: </div><div>for each right hand event (750 samples) I must have 750 label = 1</div><div>for each left hand event (750 samples) I must have 750 label = 2</div><div><br></div><div>labels = repmat(classlabel’,n,1)’; %where n is the number of samples/event</div><div>CC = train_sc(features,labels,'LDA');<br></div><div><br></div><div>Does that mean that classification is done on samples rather than events?</div><div>Is each sample classified independently?!!!</div><div><br></div><div>The results I got are very disappointing. I've tried many classifiers but the best accuracy I got was 0.5 </div><div>I need to know what I'm doing wrong.</div><div><br></div><div>I've read too much on CSP feature extraction & classification of the eeg signals, but still I feel that I'm missing many things :(</div><div>Any help please.</div><div><br></div><div>Best Regards,</div><div>Sahar Selim</div></div>
<br><br>---------- Forwarded message ----------<br>From: Stephen Politzer-Ahles <<a href="mailto:spa268@nyu.edu">spa268@nyu.edu</a>><br>To: Hoori Sa <<a href="mailto:hoorisa33@gmail.com">hoorisa33@gmail.com</a>><br>Cc: eeglablist <<a href="mailto:eeglablist@sccn.ucsd.edu">eeglablist@sccn.ucsd.edu</a>><br>Date: Mon, 10 Aug 2015 22:55:51 +0100<br>Subject: Re: [Eeglablist] Topography maps of continuous data<br><div dir="ltr"><div><div><div>Hello Hoori,<br><br></div>Do you mean to plot a topomap of a specific timepoint or time range in continuous data? I'm not sure if it's possible from the GUI, but it should be possible from the command line using the topoplot() function. That function just needs a vector of values (for instance, if your EEG data has 32 channels, then you give topoplot() a 32x1 vector of voltages), so you could easily use a point in continuous data (or an average over a range of timepoints) to do this.<br><br></div>Best,<br></div>Steve<br></div><div class="gmail_extra"><br clear="all"><div><div><div dir="ltr"><div><br><br></div>Stephen Politzer-Ahles<br>New York University, Abu Dhabi<br>Neuroscience of Language Lab<br><a href="http://www.nyu.edu/projects/politzer-ahles/" target="_blank">http://www.nyu.edu/projects/politzer-ahles/</a><br></div></div></div>
<br><div class="gmail_quote">On Fri, Aug 7, 2015 at 9:32 AM, Hoori Sa <span dir="ltr"><<a href="mailto:hoorisa33@gmail.com" target="_blank">hoorisa33@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr"><div><div><div><div>Hi<br><br></div>Is there anyway to plot topo map of continuous data? In tutorials I just can find ERP topo plotting.<br><br></div>Thanks in advance.<br><br></div>Best,<br></div>Hoorisa <br></div>
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<br><br>---------- Forwarded message ----------<br>From: Stephen Politzer-Ahles <<a href="mailto:spa268@nyu.edu">spa268@nyu.edu</a>><br>To: Edward Wiskers <<a href="mailto:edwardwiskers@gmail.com">edwardwiskers@gmail.com</a>><br>Cc: eeglablist <<a href="mailto:eeglablist@sccn.ucsd.edu">eeglablist@sccn.ucsd.edu</a>><br>Date: Mon, 10 Aug 2015 22:57:12 +0100<br>Subject: Re: [Eeglablist] Couldn't able to load channel location file<br><div dir="ltr"><div><div><div>Hello Edward,<br><br></div>This is a common issue, see <a href="https://sccn.ucsd.edu/bugzilla/show_bug.cgi?id=1722" target="_blank">https://sccn.ucsd.edu/bugzilla/show_bug.cgi?id=1722</a> for discussion and for a fix.<br><br></div>Best,<br></div>Steve<br></div><div class="gmail_extra"><br clear="all"><div><div><div dir="ltr"><div><br><br></div>Stephen Politzer-Ahles<br>New York University, Abu Dhabi<br>Neuroscience of Language Lab<br><a href="http://www.nyu.edu/projects/politzer-ahles/" target="_blank">http://www.nyu.edu/projects/politzer-ahles/</a><br></div></div></div>
<br><div class="gmail_quote">On Mon, Aug 10, 2015 at 1:44 PM, Edward Wiskers <span dir="ltr"><<a href="mailto:edwardwiskers@gmail.com" target="_blank">edwardwiskers@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">
<p class="MsoNormal">Dear all, </p>
<p class="MsoNormal"> </p>
<p class="MsoNormal">I have an edf file, after loading it into EEGLAB, I tried directly
to load the channel location file through edit -> Channel location. Unfortunately,
I could not do that, I had the following error message displayed in Matlab:</p>
<p class="MsoNormal"> </p>
<p class="MsoNormal"><b>??? Operands to the
|| and && operators must be convertible to logical scalar values.</b></p>
<p class="MsoNormal"><b> </b></p>
<p class="MsoNormal"><b>Error in ==>
pop_chanedit at 163</b></p>
<p class="MsoNormal"><b>if isempty(chans) ||
~ishandle(chans)</b></p>
<p class="MsoNormal"><b> </b></p>
<p class="MsoNormal"><b>Error in ==>
pop_chanedit at 225</b></p>
<p class="MsoNormal"><b><span> </span>[chans chaninfo urchans com] =
pop_chanedit(chans, chaninfo, 'lookupgui', []);</b></p>
<p class="MsoNormal"><b><span> </span></b></p>
<p class="MsoNormal"><b>??? Error while
evaluating uimenu Callback</b></p>
<p class="MsoNormal"> </p>
<p class="MsoNormal">Did I miss anything? What should I do to fix this problem.</p>
<p class="MsoNormal"> </p>
<p class="MsoNormal">Thank you.</p><span><font color="#888888">
<p class="MsoNormal">Edward</p>
<p class="MsoNormal"> </p>
</font></span></div>
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<br><br>---------- Forwarded message ----------<br>From: Stephen Politzer-Ahles <<a href="mailto:spa268@nyu.edu">spa268@nyu.edu</a>><br>To: Hoori Sa <<a href="mailto:hoorisa33@gmail.com">hoorisa33@gmail.com</a>><br>Cc: EEGLAB List <<a href="mailto:eeglablist@sccn.ucsd.edu">eeglablist@sccn.ucsd.edu</a>><br>Date: Wed, 12 Aug 2015 09:49:33 +0100<br>Subject: Re: [Eeglablist] Topography maps of continuous data<br><div dir="ltr"><div>This is still doable with topoplot. Something along the lines of:<br><br></div>topoplot( mean(EEG.data,2), EEG.chanlocs )<br><br><br></div><div class="gmail_extra"><br clear="all"><div><div><div dir="ltr"><div><br><br></div>Stephen Politzer-Ahles<br>New York University, Abu Dhabi<br>Neuroscience of Language Lab<br><a href="http://www.nyu.edu/projects/politzer-ahles/" target="_blank">http://www.nyu.edu/projects/politzer-ahles/</a><br></div></div></div>
<br><div class="gmail_quote">On Wed, Aug 12, 2015 at 9:26 AM, Hoori Sa <span dir="ltr"><<a href="mailto:hoorisa33@gmail.com" target="_blank">hoorisa33@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr"><div><div><div>Hi<br><br></div>Thanks for your reply! <br><br></div><div>I meant plotting the whole time of my continuous data which is about 100 s.<br></div><div><br>Anyway, I'll try topoplot. <br></div><div><br></div>Best,<br></div>Hoori<br></div><div class="gmail_extra"><br><div class="gmail_quote">On 11 August 2015 at 09:32, 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"><div dir="ltr">Dear Hoori,<div><br></div><div>Probably you need to use topoplot() function. Type 'help topoplot' in the command line to check how it should be used.</div><div><br></div><div>Makoto </div></div><div class="gmail_extra"><br><div class="gmail_quote"><div><div>On Fri, Aug 7, 2015 at 1:32 AM, Hoori Sa <span dir="ltr"><<a href="mailto:hoorisa33@gmail.com" target="_blank">hoorisa33@gmail.com</a>></span> wrote:<br></div></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div><div><div dir="ltr"><div><div><div><div>Hi<br><br></div>Is there anyway to plot topo map of continuous data? In tutorials I just can find ERP topo plotting.<br><br></div>Thanks in advance.<br><br></div>Best,<br></div>Hoorisa <br></div>
<br></div></div><span>_______________________________________________<br>
Eeglablist page: <a href="http://sccn.ucsd.edu/eeglab/eeglabmail.html" rel="noreferrer" target="_blank">http://sccn.ucsd.edu/eeglab/eeglabmail.html</a><br>
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</font></span></font></span></div>
</blockquote></div><br></div>
</blockquote></div><br></div>
<br><br>---------- Forwarded message ----------<br>From: Zeynep Akalin Acar <<a href="mailto:zeynep@sccn.ucsd.edu">zeynep@sccn.ucsd.edu</a>><br>To: EEGLAB List <<a href="mailto:eeglablist@sccn.ucsd.edu">eeglablist@sccn.ucsd.edu</a>><br>Cc: <br>Date: Tue, 11 Aug 2015 20:40:29 -0700<br>Subject: [Eeglablist] Paper on skull conductivity estimation<br><div dir="ltr"><div><div><div><div><div><div>Dear EEGLAB users,<br><br></div>I'm happy to announce that our recent paper on skull conductivity estimation is now accepted for publication in Neuroimage.<br><br></div><div>You can find the accepted version at:
<div><br>
</div>
<div><a href="http://sccn.ucsd.edu/%7Escott/pdf/AkalinAcar_SCALE_NeuroImage_in_press_0815.pdf" target="_blank">Preprint of the accepted version</a><br></div></div><div><br></div><b>Title</b>: Simultaneous head tissue conductivity and EEG source location estimation<br><br></div><b>Authors</b>: Z. Akalin Acar, C. Acar, S. Makeig<br><br></div><b>Abstract</b>: <br>Accurate
electroencephalographic (EEG) source localization requires an
electrical head model incorporating accurate geometries and conductivity
values for the major head tissues. While consistent conductivity values
have been reported for scalp, brain, and cerebrospinal fluid, measured
brain-to- skull conductivity ratio (BSCR) estimates have varied between 8
and 80, likely reflecting both inter-subject and measurement method
differences. In simulations, mis-estimation of skull conductivity can
produce source local- ization errors as large as 3 cm. Here, we describe
an iterative gradient-based approach to Simultaneous tissue
Conductivity And source Location Estima- tion (SCALE). The scalp
projection maps used by SCALE are obtained from near-dipolar effective
EEG sources found by adequate independent compo- nent analysis (ICA)
decomposition of sufficient high-density EEG data. We applied SCALE to
simulated scalp projections of 15 cm2-scale cortical patch sources in an
MR image-based electrical head model with simulated BSCR of 30.
Initialized either with a BSCR of 80 or 20, SCALE estimated BSCR as
32.6. In Adaptive Mixture ICA (AMICA) decompositions of (45-min,
128-channel) EEG data from two young adults we identified sets of 13 in-
dependent components having near-dipolar scalp maps compatible with a
single cortical source patch. Again initialized with either BSCR 80 or
25, SCALE gave BSCR estimates of 34 and 54 for the two subjects
respectively. The ability to accurately estimate skull conductivity
non-invasively from any well-recorded EEG data in combination with a
stable and non-invasively ac- quired MR imaging-derived electrical head
model could remove a critical barrier to using EEG as a sub-cm2-scale
accurate 3-D functional cortical imaging modality.<br><br></div>Thank you,<br></div>Zeynep Akalin Acar</div>
<br><br>---------- Forwarded message ----------<br>From: Stephen Politzer-Ahles <<a href="mailto:spa268@nyu.edu">spa268@nyu.edu</a>><br>To: Andria Lan <<a href="mailto:andrialan108@gmail.com">andrialan108@gmail.com</a>><br>Cc: eeglablist <<a href="mailto:eeglablist@sccn.ucsd.edu">eeglablist@sccn.ucsd.edu</a>><br>Date: Wed, 12 Aug 2015 19:04:17 +0100<br>Subject: Re: [Eeglablist] How to determine the type of events in the dataset<br><div dir="ltr"><div><div><div>Hi Andria,<br><br></div>In the EEGLAB GUI, you can select "Tools", then "Extract Epochs", then click the button next to "Time-locking event types", and you will see the list of event types that are present in the dataset.<br><br></div>Best,<br></div>Steve<br></div><div class="gmail_extra"><br clear="all"><div><div><div dir="ltr"><div><br><br></div>Stephen Politzer-Ahles<br>New York University, Abu Dhabi<br>Neuroscience of Language Lab<br><a href="http://www.nyu.edu/projects/politzer-ahles/" target="_blank">http://www.nyu.edu/projects/politzer-ahles/</a><br></div></div></div>
<br><div class="gmail_quote">On Tue, Aug 11, 2015 at 4:34 AM, Andria Lan <span dir="ltr"><<a href="mailto:andrialan108@gmail.com" target="_blank">andrialan108@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><p dir="ltr">Hi everyone, </p>
<p dir="ltr">My question is about the fininding type of event in the dataset.</p>
<p dir="ltr">In the eeglab dataset (dedicated by eeglab), for instance, the event types are "square" and "rt". Thus, how to determine them (square and rt)? What are the necessary steps for this?</p>
<p dir="ltr">Thanks in advance. </p><span><font color="#888888">
<p dir="ltr">Andria</p>
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Eeglablist page: <a href="http://www.sccn.ucsd.edu/eeglab/eeglabmail.html" rel="noreferrer" target="_blank">http://www.sccn.ucsd.edu/eeglab/eeglabmail.html</a><br>
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