[Eeglablist] ERSP and ERP analyse using MPT clustering method
Mohammed Jarjees
m.jarjees.1 at research.gla.ac.uk
Sat May 16 03:27:51 PDT 2015
Dear Makoto,
Thank you very much for your answer.
Is this mean that even though I do not select the same ICs, I can still compare spatial distributions of ERSP and ERP clusters?
Best Regards
Mohammed Jarjees
PhD Student
Centre for Rehabilitation Engineering
Biomedical Engineering Department
University of Glasgow
Mobile +44 (0)757 677 2323
________________________________________
From: Makoto Miyakoshi [mmiyakoshi at ucsd.edu]
Sent: 15 May 2015 13:40
To: Mohammed Jarjees
Cc: eeglablist at sccn.ucsd.edu
Subject: Re: [Eeglablist] ERSP and ERP analyse using MPT clustering method
Dear Mohammed,
> 1. Should I select the same ICAs for ERP and ERSP?
Follow this instruction and clean your ICs using STUDY
http://sccn.ucsd.edu/wiki/Backproject_clustered_ICs
And you can use ERP or ERSP as you want in MPT. I mean you want to use the same set of ICs from this cleaning for anything.
Makoto
On Mon, May 11, 2015 at 2:46 AM, Mohammed Jarjees <m.jarjees.1 at research.gla.ac.uk<mailto:m.jarjees.1 at research.gla.ac.uk>> wrote:
Dears,
I want to cluster my 61 electrodes EEG data for three groups of people each group has 10 subjects and each subjects has three conditions.
I would like to analyse ERSP and ERP and to use MPT clustering method. MPT suggest to use one feature at the time, so I will create separate studies for ERSP and ERP. I would like to be able to compare clustering of ERSP and of ERP as these two variables might not necessarily have the same clusters.
My questions are:
1. Should I select the same ICAs for ERP and ERSP? Though this might sound a common sense, by visual inspection of ICAs I've noticed that some ICs have very strong ERP while not much is going on in ERSP and vice-versa, some have very little ERP with strong ERSP. Therefore taking common components for both might blur results for both ERP and ERSP.
2. In case I should not use the same components, may I produce two ICs sets, one filtered at 0.1Hz for ERP and the other filtered with 1Hz for ERSP. That is because filtering with 1Hz for ERSP really helps removing a baseline drift and I get clearer ICs then when filtering with 0.1 Hz (which is necessary should I analyse ERP)?
Would I still be able to compare spatial locations of ERP and ERSP clusters?
Thank you very much for your help.
Best regards,
Mohammed
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--
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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