[Eeglablist] Help with Channel locations and ICA for 32-channel BrainVision data?
mmiyakoshi at ucsd.edu
Tue Apr 1 18:13:54 PDT 2014
Maybe you have crazy outlier in these eye channels. Show me the Component 1
ERP image, ERP, and spectra. Probably, removing the left frontal channel
would solve the problem. You seem to be ok with channel locations.
2014-03-24 16:46 GMT-07:00 Natalie Prowse <NatalieProwse at cmail.carleton.ca>:
> We're trying to process 32-channel Brain Vision files in EEGLab, but are
> running into an issue in ICA where the component headmaps all look the
> same, so I'm not sure if it's an issue with the ICA or with the electrode
> channel file we are using.
> Here is an example ICA plot and the electrode .ced file.
> I'm open to any suggestions as to what to do. We DON'T have Brain
> Vision Analyzer - everything was recorded with Pycorder and exported as
> .vhdr, .vmrk and .eeg files.
> We are using EEGLAB 13_1_1b
> Because the events were unfortunately coded with characters and numbers
> (e.g. "S 8", "S 7" ), I had to read all the data in via small program
> that calls via pop_loadbv() and then strips the string portion of the
> event, and merges using pop_mergeset to produce a single merged .set file.
> I cannot seem to get the events to be properly recognized if I use
> pop_biosig to read the files.
> I read in another post that said you don't need a channel location file
> if you are bringing data in from BrainVision Analyzer, but we don't have
> the Analyzer software - we only use pycorder. To get the .CED file I
> loaded a text .elp with just the channel numbers and names, used the "Look
> up locs" button in EEGLAB and applied the "Use BESA file for 4-shell dipfit
> spherical model". I am REALLY new to this so I'm not sure that this was the
> right thing to do at all. Can someone please help out with either
> recommendations on how to get the correct locations for BV data that
> DOESN'T come from the Analyzer software?
> Many thanks,
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Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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