[Mne_analysis] Source space of MSR

[Eric Larson]

        External Email - Use Caution        

You probably want to set up a "discrete" source space, like:

mne.setup_volume_source_space
<https://www.martinos.org/mne/stable/generated/mne.setup_volume_source_space.html>(pos=dict(rr=...,
nn=...))

You need to specify `rr` in meters in the MRI coordinate frame. (You can
make the MRI, MEG, and head coordinate frames identical to make your life
easier, too.) The `nn` won't really matter as long as you use `loose=1.`
when computing the solution.

For the `rr` you could use a sphere around the MEG helmet. You can use the
private (meaning it could stop working at any time!)
mne.surface._get_ico_surface(5)['rr'] to get a unit (1 meter radius)
sphere, for example, and scale and/or shift these points as you see fit.

Eric


On Tue, Nov 13, 2018 at 1:24 PM Jeff Hanna <jeff.hanna at gmail.com> wrote:

>         External Email - Use Caution
>
> I'm trying to track down an external source of noise with our MEG system.
> To that end, I'd like to build a source space of evenly spaced dipoles with
> free orientation, spanning an area approximately the size of the MSR.
> Hopefully inverting the data onto this space within the frequency band of
> the noise could give me a clue where it's coming from.
>
> Is there a straightforward way to do this in MNE-Python without hacking a
> lot of low-level functions?
>
> Jeff Hanna
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