[Mne_analysis] [Fwd: SSP for EEG]

Marina Papoutsi marina at csl.psychol.cam.ac.uk
Mon Nov 16 06:22:58 EST 2009
Search archives:

Dear all,

sorry for re-posting. Since I haven't received any replies yet, I wanted 
to try my luck again ...
Please let me know if you have insights about how to apply SSP on EEG 
(for more details, please see attached email below).

Many thanks in advance for the help,
Marina


-------- Original Message --------
Subject: [Mne_analysis] SSP for EEG
Date: Tue, 27 Oct 2009 19:16:21 +0000
From: Marina Papoutsi <marina at csl.psychol.cam.ac.uk>
To: mne_analysis at nmr.mgh.harvard.edu


Dear Matti and MNE users

Recently, it was suggested to me that I could apply SSP to EEG data as a
way of removing some of the physiological etc noise. I wanted to check
whether my understanding is correct and ask some questions about how to
do this.

My limited understanding of this is that I need to create an SSP
projection and then apply that to the raw data. In the MNE manual it
mentions to create the SSP projection from empty room recordings, but I
assume that, in the case of EEG, recordings from a resting recording
could do. I have about 3min of rest with eyes open and 3min of rest with
eyes closed before the onset of the experiment. Would 3min be enough?

At the moment, the only way that I can see to create this projection is
through mne_browse_raw. Is there any other function that I could use?

Also, if and when I do manage to generate an SSP projection, I assume it
would be include all sensors (GRDS, MAGS and EEG), so then I could use
mne_project_raw to apply the projection, which again I assume will be
including the EEG.

Lastly, after the projection has been applied to the data, I assume that
the data have been fully transformed and, if I then need to export them
(in sensor space) into matlab, the transformation would be preserved.

Does that sound ok? Please let me know if there is anything I am missing
and if you have any other advice, word of caution etc. I just wanted to
check whether my understanding is correct.

Many thanks,
Marina
_______________________________________________
Mne_analysis mailing list
Mne_analysis at nmr.mgh.harvard.edu
https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis



More information about the Mne_analysis mailing list