mne_compute_raw_inverse

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1

Hello MNE_users,

I have a question regarding the command mne_compute_raw_inverse.

If I used that function with --labeldir option,

the output will collapse all the labels from the directory in one fif file,
and I have one average waveform per ROI requested

Example of command used:

mne_compute_raw_inverse --inv inv.fif --in subj.fif --labeldir
/label/subject/ --out output.fif

Now I would like to export all the vertices within a ROI and not only one
waveform average per ROI

Example of command used:

mne_compute_raw_inverse --inv inv.fif --in subj.fif --label label.label
--out output.fif

For this output I have now in the fif file my different vertices included in
the ROI, but at my surprise I have 3 vectors for each vertices (x,y,z)

I tried all the command (picknormalcomp, align_z) to obtain only one
component per vertices but for now with no success..

Is ther a "magic option" that I am not aware of ?

Best

Elisabeth

2

hi Elisabeth,

I don't know if there is a magic option but if you have a loose oriented
inverse operator then I suspect that what you want is the
3rd vector for each location (the normal component).

hope this helps
Alex

PS: btw it's also possible to do such things in python. See eg.

http://martinos.org/mne/auto_examples/inverse/plot_label_source_activations.html#example-inverse-plot-label-source-activations-py