[Mne_analysis] mne_compute_raw_inverse

[Alexandre Gramfort]

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


On Tue, Jan 29, 2013 at 7:47 PM, Elisabeth Fonteneau <ef309 at cam.ac.uk> wrote:
>
>
> 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
>
>
>
>
>
> __________________________________________________________
>
>
>
> Dr Elisabeth Fonteneau
>
> Neurolex Group
>
> Department of Psychology
>
> University of Cambridge
>
> Downing Street, Cambridge CB2 3EB, UK
>
> Phone: +44 1223 333 548
>
> Email: ef309 at cam.ac.uk
>
> Web: www.neurolex.psychol.cam.ac.uk/directory/ef309 at cam.ac.uk
>
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>
>
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