[Mne_analysis] average of M1 and M2 reference with brainvision files

[Alexandre Gramfort]

        External Email - Use Caution        

Hi,

to use an average of M1 and M2 you should pass a list containing the
M1 and M2 channel
names in the ref_channels parameter

see

https://mne.tools/stable/auto_tutorials/preprocessing/plot_55_setting_eeg_reference.html#setting-or-changing-the-reference-channel

where it is written:

# use average of mastoid channels as reference
# raw.set_eeg_reference(ref_channels=['M1', 'M2'])


Alex

On Fri, Mar 27, 2020 at 5:06 PM Justin Murphy <justin.murphy at vuw.ac.nz> wrote:
>
>         External Email - Use Caution
>
>
>
> Hello MNEers,
>
>
>
> I’m having trouble setting a reference that is the  average of M1 and M2.
>
>
>
> M1 is the reference used for recording, and is stored as “Ref” in the vhdr file, but not with the other channels.
>
>
>
> I have read the link:
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> https://mne.tools/stable/auto_tutorials/preprocessing/plot_55_setting_eeg_reference.html
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> and the suggestion to do this:
>
> # add new reference channel (all zero)
>
> raw_new_ref = mne.add_reference_channels(raw, ref_channels=['EEG 999'])
>
>
>
> raw_new_ref.set_eeg_reference(ref_channels=['EEG 050'])
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>
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> Which I gather switches the reference channel – I can do that. But how do I, instead of swithing, create the average of M1 and M2, AND know that it worked?
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> Also, is there an easy way to find what the current reference being used is??
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>
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> Thanks!
>
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