[Eeglablist] Rat EEG Data - ICA

Makoto Miyakoshi mmiyakoshi at ucsd.edu
Mon May 9 15:32:22 PDT 2016


Dear Tadavarty,

I completely agree with Mikolaj. ICA is for multivariate signals. With only
two channels, ICA is not very helpful.

Makoto



On Fri, Apr 22, 2016 at 11:59 AM, Mikołaj Magnuski <mmagnuski at swps.edu.pl>
wrote:

> You could create fake channel locations (edit -> channel location if I
> remember properly), but with only two channels you won't be able to do much
> with ICA - you'll have only two components and most likely they won't be
> easy to interpret.
>
> 2016-04-20 21:23 GMT+02:00 Tadavarty, Ramakrishna <rtadavar at mail.ubc.ca>:
>
>> Dear All,
>>
>>
>>
>> We have some EEG data from rats. These are only 2 channel recordings
>> (bilateral). My aim is to decompose the raw EEG trace into individual
>> components and have a look at the separated component waveforms. This way I
>> hope to clean the raw EEG (by removing artifacts such as line noise and
>> other repetitive signals) and compare data between cohorts to try and
>> identify any small changes. We record using Spike2 software from CED. I
>> have been able to import the data, visually reject, filter – band pass and
>> notch, and indeed run ICA. However, I am unable to plot anything, as it
>> asks for location data to be put in the dataset and I don’t have any as it
>> is not human data. Has anyone tried to run ICA in rats using EEGLAB? What
>> is the best way to move forward?
>>
>>
>>
>> Many thanks,
>>
>>
>>
>> Rama
>>
>>
>>
>>
>>
>>
>>
>>
>>
>> *DR. RAMAKRISHNA TADAVARTY*
>>
>> *Postdoctoral Research Fellow*
>>
>> Faculty of Pharmaceutical Sciences
>>
>> The University of British Columbia
>>
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>
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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