[Eeglablist] ICA decomposition of possibly 2 different conditions....
marco.congedo at gmail.com
Tue Jan 12 23:42:22 PST 2010
you can use the fact that you have two conditions explicitly to recover
sources characteristic of each condition. The appropriate framework is
described in length in
On the blind source separation of human electroencephalogram by approximate
joint diagonalization of second order
Congedo M, Gouy-Pailler C, Jutten C.
Clin Neurophysiol. 2008 Dec;119(12):2677-86.
Senior Scientist, cnrs
On Tue, Jan 12, 2010 at 11:42 PM, Klados Manousos <mklados at gmail.com> wrote:
> Dear IIya
> According to my opinion i suppose that you have to separate them because
> other pools of neuron (different sources) are activated with eyes opened and
> other with eyes closed...And if you see the mathematical background because
> you have a two condition experiment the underlying sources will be more than
> in one codition....so some sources will be merged in one component...i think
> that it is not preferable...it is better to reduce "normally" your data
> dimensionality by separating the recording session....and a 2 mins record is
> not a short epoch for ICA...There is an heuristic rule which says that ICA
> can be succesfully applied in epochs with sample points grater than
> channel^2 => Sample Points>= Channels^2.
> I hope to helped you...
> 2010/1/12 Ilya Adamchic <dr.ilya at yahoo.com>
>> Dear All.
>> We have an experiment set up, when a patient should sit 2 min with eyes
>> closed and 2 min with eyes open and so on several times. This is a
>> spontaneous recording: no actions are performed in both conditions. When we
>> perform ICA decomposition, is it reasonable to leave these 2 conditions
>> mixed as a continuous file and let ICA decompose the continuous file. Or we
>> need to separate eyes closed from eyes open conditions and only then perform
>> ICA on the short epochs, which might be to short (2 min) for the 128 channel
>> Thank you all for your replies in advance.
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> Klados A. Manousos
> Research Assistant
> Group of Applied Neurosciences
> Lab of Medical Informatics, Medical School
> Aristotle University of Thessaloniki
> Thessaloniki, Greece
> Tel: +30-2310-999332
> Website: http://lomiweb.med.auth.gr/gan/mklados
> Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html
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