[Eeglablist] independent component nature

Wed Apr 17 04:04:10 PDT 2013

Dear Ida and Simon,

I agree with Simon about IC97 and IC106. I've got before something similar to IC106 and it was a bad electrode that we needed to send the EEG cap to be fixed. You can check impedance in the EEG cap and remove the electrode before doing ICA.
Best wishes

Carlos. 

_________________________________________
Carlos A. Mugruza  Vassallo
Neuroscience and Development
Scrymgeour Building
The University of Dundee 
Dundee, UK
DD1 4HN
Skype: cmugruza
Fax (+44) 1382 229993

Webpage:
http://www.dundee.ac.uk/psychology/people/phdstudents/camugruzavassallo/
http://www.linkedin.com/in/carlosmugruza 

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Today's Topics:

   1. Data change when updating eeglab from version 10 to 12
      (Nicolas Rochet)
   2. independent component nature (ida miokovic)
   3. Re: independent component nature (Simon-Shlomo Poil)
   4. Re: Manually marking bad channels (Katherine Naish)
Dear EEGLAB community,
I was previously using eeglab version 10.2.2.4b. After updating EEGLAB to  version 12.0.2.0b (with SVN) the SAME data (ie  ERP, ERSP and ITC grand average) processed with the study protocol are different with the two version
Does anybody encountered similar issues ?

Thanks,
Nicolas

-- Nicolas Rochet, PhD Student
Laboratoire de Neurosciences Cognitives, UMR 7291

Université de Provence / CNRS
Pôle 3C - Case C
3 place Victor Hugo
13331 Marseille Cedex 03
France

tel : (+33) 04 13 55 09 00

Dear list,

I am having troubles to identify the nature of two kinds of components - IC97 and IC106 (link for pdf file download is below) there is a short part of the components in time domain and also their power spectrum and location on the scalp). Any suggestion would be appreciated. Before ICA dataset was hightpassed and cleaned from line noise.  

http://speedy.sh/22eEY/IC97-IC106.pdf

Kind regards,

IdaDear Ida,

For me ICA 97 looks like a bad channel with transient artifacts. ICA
nr 106 is unusual, it could be some electric noise interfering with
your amplifier because of its strange saw tooth shape.

-Simon
--
Simon-Shlomo Poil, Dr.

Center of MR-Research
University Children’s Hospital Zurich

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2013/4/15 ida miokovic <ida.miokovic at gmail.com>:
> Dear list,
>
> I am having troubles to identify the nature of two kinds of components -
> IC97 and IC106 (link for pdf file download is below) there is a short part
> of the components in time domain and also their power spectrum and location
> on the scalp). Any suggestion would be appreciated. Before ICA dataset was
> hightpassed and cleaned from line noise.
>
> http://speedy.sh/22eEY/IC97-IC106.pdf
>
> Kind regards,
>
> Ida
>
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--

Thanks for all of the help.

Is there a way to highlight a channel from the 'stacked' view of the channels? So that when I view the channels in the 'stacked' view and there is a clear outlier I can select that and know which channel to remove? For example, in the attached, what is the easiest way to find out the number of the channel with the much larger waveform?

thanks,
katherine

________________________________

From: James Desjardins [jdesjardins at brocku.ca]
Sent: 15 April 2013 16:14
To: Katherine Naish; eeglablist at sccn.ucsd.edu
Subject: RE: Manually marking bad channels

Hi Katherine,

At the bottom of the EEGLab Edit menu there is an option for "visual edit...". This will open the eegplot figure with a couple extra capabilities. If you then ctrl/left-click on the eegplot figure a GUI will pop up allowing you to flag the channel (or edit events). simply select the "toggle bad channel status" and then press OK.

This functionality is not yet fully integrated into EEGLab (although I am almost finish testing an integrated prototype) and it simply edits a badchan field in the EEG.chanlocs structure. There are no GUI options yet for handling these flags, but from the command line you can use:

EEG = eeg_interp(EEG,find([EEG.chanlocs.badchan]),'spherical');
EEG = eeg_checkset( EEG );

to interpolate the flagged channels,

or:

EEG = pop_select( EEG,'nochannel',{EEG.chanlocs(find([EEG.chanlocs.badchan])).labels});
EEG = eeg_checkset( EEG );

to remove the flagged channels.

James Desjardins, MA
Electrophysiology Technologist
Cognitive and Affective Neuroscience Lab, Psychology Department 
Jack and Nora Walker Centre for Lifespan Development Research
Brock University
500 Glenridge Ave.
St. Catharines, ON, Canada L2S 3A1
905-688-5550 x4676
--
"'Cause you never can tell What goes on down below!
"This pool might be bigger Than you or I know!"

McElligot's Pool
Dr.Seuss 1947

________________________________

From: eeglablist-bounces at sccn.ucsd.edu [eeglablist-bounces at sccn.ucsd.edu] on behalf of Katherine Naish [K.R.Naish at pgr.reading.ac.uk]
Sent: April-13-13 9:21 AM
To: eeglablist at sccn.ucsd.edu
Subject: [Eeglablist] Manually marking bad channels

Is there a way to select channels for rejection (for example, when using pop_eegplot)? I have been using pop_rejchan to automatically mark channels and reject them that way, but is there a way to manually mark for rejection based on visual inspection, as can be done with epochs?

Thanks for your help,
katherine

-------------------------------
Katherine Naish
School of Psychology
University of Reading & Goldsmiths University of London
+44(0)118 378 6946
http://www.neurobiography.info/handlab.php?page=people#Katherine-Naish
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