Forward and Inverse Models

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1

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Hi all,

I am new to using source analysis for my EEG data. In all of the MNE
examples, the forward and inverse models have existed for the MEG data. I
couldn't find any good sources to know how I can create a forward and
inverse model for my EEG data and what subjects' specific information I
should use to create a forward and inverse model.

Thanks,
-Maryam
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2

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hi Maryam,

do you have the MRI of your subjects?

Alex

3

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Hi Alex,

No, I don't have the MRI of my subjects.

-Maryam

4

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hi,

then so far there is little doc/material to allow you to work easily I fear.
Maybe someone can share some code and hints though.

Alex

5

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Hi Maryam & Alex,

I'm quite interesting in this question too, but I didn't have MRI of my subjects neither.
Perhaps can we try to use average MRI that we can easly find online. ( http://www.bic.mni.mcgill.ca/ServicesAtlases/ICBM152NLin2009) Results may not be relevant, but it should give an overall idea of how to do source reconstruction for further studies.
Can someone explain how to create forward solution and source reconstruction supposing that we have a MRI of the subject such as the one available in the previous link ?

Thanks,
Victor

6

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To create a trans file for the average MRI you need to use the
`mne.gui.corregistration` (see
https://mne-tools.github.io/stable/generated/mne.gui.coregistration.html?highlight=coreg#mne.gui.coregistration
)

Thats why I did for this https://github.com/mne-tools/mne-python/pull/5836

If you want to use the one I did, you would need to patch the
`mne.datasets.utils` to look like in the PR and use `get_trans` from
`mne/channels/tests/test_digitation.py`