[Mne_analysis] MNE in Matlab

Adela Glez. adelaglezcom at gmail.com
Wed Jan 24 05:04:46 EST 2018
Search archives: 
Thank you very much, Sheraz, you are very kind to do so.
So is there at the moment no way to do this in Matlab as per the Matlab set
of functions provided by MNE?
Ade

On 24 January 2018 at 05:35, Sheraz Khan, PhD <sheraz at nmr.mgh.harvard.edu>
wrote:

> Hi Adela,
>
> You can do the same in Matlab, Tomorrow, I will create a small matlab gist
> for you, in which, you input raw and inv file, and it outputs source
> estimates, like apply_inverse_raw in mne-python.
>
> Best
>
> Sheraz
>
> > Thanks again, Sheraz.
> >
> > I am confused because my original question was how to compute the source
> > data (in Matlab) if I already have the inverse solution. You mentioned I
> > could use mne_read_inverse_operator.m but I should assemble it and
> > referred
> > me to the function mne_ex_compute_inverse.m. But this function asks for
> > the
> > _ave-fif file, which I don't have, and seems to me that it is rather to
> > compute the inverse solution, which I already have ("% An example on how
> > to
> > compute a L2-norm inverse solution, and not to create the source
> > estimates.
> >
> > I had a look at how the source data is computed in Python and it just
> uses
> > "read_inverse_operator" to read the inv solution, and "apply_inverse_raw"
> > for the source estimation (which is what I aim to do in Matlab), which
> > doesn't need the _ave.fif file.
> >
> > Maybe I am misunderstanding something?
> > Thank you,
> > Ade
> >
> >
> > On 18 January 2018 at 17:05, Sheraz Khan, PhD <
> sheraz at nmr.mgh.harvard.edu>
> > wrote:
> >
> >> On the mne-python side you need to convert your data into Evoked object,
> >> using mne python class
> >> https://martinos.org/mne/dev/generated/mne.Evoked.html
> >> And then you can use .save function exposed by Evoked object to save it
> >> into -ave.fif file.
> >>
> >> Please open issue on GitHub and share your pipeline with some sample
> >> data
> >>
> >> Sheraz
> >> > Thank you. I still got the error that the number of arguments was
> >> wrong.
> >> > It
> >> > seem to run adding just '1' for the argument "dSPM"). However, I get
> >> the
> >> > following error:
> >> >
> >> > Error using fiff_read_evoked (line 83)
> >> >
> >> > Could not find processed data
> >> >
> >> >
> >> >
> >> > Error in mne_ex_compute_inverse (line 53)
> >> >
> >> > data = fiff_read_evoked(fname_data,setno);
> >> >
> >> >
> >> > I noticed I have no -ave.fif file in the set of files computed with
> >> MNE
> >> > python.
> >> >
> >> > Maybe that is the source of the issue?
> >> >
> >> >
> >> > Ade
> >> >
> >> > On 18 January 2018 at 15:23, Sheraz Khan, PhD <
> >> sheraz at nmr.mgh.harvard.edu>
> >> > wrote:
> >> >
> >> >> Some default values
> >> >>
> >> >> setno = 1; %(Event code that you put in your stimulus program)
> >> >> nave = -1; %(Number of averages, -1 will read it from -ave.fif file)
> >> >> dSPM = true; % (Convert the inverse map to Statistical score wrt to
> >> >> baseline noise covirance)
> >> >> lambda2 = 1/9 %(Default regularization parameter)
> >> >>
> >> >> HTH
> >> >>
> >> >> Sheraz
> >> >>
> >> >>
> >> >> > Thank you, Sheraz.
> >> >> >
> >> >> > To assemble the inv operator I had a look at mne_ex_compute_inverse
> >> >> and
> >> >> > there are a number of arguments (e.g., setno [data set number],
> >> >> lambda2,
> >> >> > sDPM, sLORETA), that complicate things since I don't know where to
> >> get
> >> >> > these values from or how to find them.
> >> >> >
> >> >> > Ade
> >> >> >
> >> >> > On 18 January 2018 at 14:20, Sheraz Khan, PhD <
> >> >> sheraz at nmr.mgh.harvard.edu>
> >> >> > wrote:
> >> >> >
> >> >> >> Hi Ade,
> >> >> >>
> >> >> >> > 1- Is the MNE Matlab toolbox a limited version of the python
> >> one? I
> >> >> >> wonder
> >> >> >> > if I can perform the whole pipeline (compute fwd and inv
> >> solutions)
> >> >> >> with
> >> >> >> > the Matlab version.
> >> >> >>
> >> >> >> MNE Matlab toolbox is mostly for IO, and was designed to
> >> complement
> >> >> >> MNE-C
> >> >> >> toolbox. It can not compute fwd and inv solutions.
> >> >> >>
> >> >> >>
> >> >> >> > 2- If this is not possible, how to import in Matlab an already
> >> >> >> computed
> >> >> >> > inverse solution (oct-6-meg-inv.fif) into Matlab so I have the
> >> data
> >> >> >> ready
> >> >> >> > for further analysis in Matlab?
> >> >> >>
> >> >> >> You can use mne_read_inverse_operator.m function to read inv
> >> operator
> >> >> >> into
> >> >> >> Matlab, but you need to assemble it. Please see
> >> >> mne_ex_compute_inverse.m
> >> >> >> for example.
> >> >> >>
> >> >> >> HTH
> >> >> >>
> >> >> >> Best
> >> >> >>
> >> >> >> Sheraz
> >> >> >>
> >> >> >>
> >> >> >> > Hi everyone,
> >> >> >> >
> >> >> >> > Two questions:
> >> >> >> >
> >> >> >> > 1- Is the MNE Matlab toolbox a limited version of the python
> >> one? I
> >> >> >> wonder
> >> >> >> > if I can perform the whole pipeline (compute fwd and inv
> >> solutions)
> >> >> >> with
> >> >> >> > the Matlab version.
> >> >> >> > 2- If this is not possible, how to import in Matlab an already
> >> >> >> computed
> >> >> >> > inverse solution (oct-6-meg-inv.fif) into Matlab so I have the
> >> data
> >> >> >> ready
> >> >> >> > for further analysis in Matlab?
> >> >> >> >
> >> >> >> > Thank you,
> >> >> >> > Ade
> >> >> >> > _______________________________________________
> >> >> >> > Mne_analysis mailing list
> >> >> >> > Mne_analysis at nmr.mgh.harvard.edu
> >> >> >> > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis
> >> >> >>
> >> >> >>
> >> >> >> -------------------------
> >> >> >> Sheraz Khan, M.Eng, Ph.D.
> >> >> >> Instructor in Neurology
> >> >> >>
> >> >> >> Athinoula A. Martinos Center for Biomedical Imaging
> >> >> >> Massachusetts General Hospital
> >> >> >> Harvard Medical School
> >> >> >>
> >> >> >> McGovern Institute for Brain Research
> >> >> >> Massachusetts Institute of Technology
> >> >> >>
> >> >> >> Tel:   +1 617-643-5634
> >> >> >> Fax:   +1 617-948-5966
> >> >> >> Email: sheraz at nmr.mgh.harvard.edu
> >> >> >>        sheraz at mit.edu
> >> >> >> Web:   http://sheraz.mit.edu
> >> >> >> _______________________________________________
> >> >> >> Mne_analysis mailing list
> >> >> >> Mne_analysis at nmr.mgh.harvard.edu
> >> >> >> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis
> >> >> >>
> >> >> >>
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> >> >> >>
> >> >> >>
> >> >> >
> >> >>
> >> >>
> >> >> -------------------------
> >> >> Sheraz Khan, M.Eng, Ph.D.
> >> >> Instructor in Neurology
> >> >>
> >> >> Athinoula A. Martinos Center for Biomedical Imaging
> >> >> Massachusetts General Hospital
> >> >> Harvard Medical School
> >> >>
> >> >> McGovern Institute for Brain Research
> >> >> Massachusetts Institute of Technology
> >> >>
> >> >> Tel:   +1 617-643-5634
> >> >> Fax:   +1 617-948-5966
> >> >> Email: sheraz at nmr.mgh.harvard.edu
> >> >>        sheraz at mit.edu
> >> >> Web:   http://sheraz.mit.edu
> >> >>
> >> >
> >>
> >>
> >> -------------------------
> >> Sheraz Khan, M.Eng, Ph.D.
> >> Instructor in Neurology
> >>
> >> Athinoula A. Martinos Center for Biomedical Imaging
> >> Massachusetts General Hospital
> >> Harvard Medical School
> >>
> >> McGovern Institute for Brain Research
> >> Massachusetts Institute of Technology
> >>
> >> Tel:   +1 617-643-5634
> >> Fax:   +1 617-948-5966
> >> Email: sheraz at nmr.mgh.harvard.edu
> >>        sheraz at mit.edu
> >> Web:   http://sheraz.mit.edu
> >>
> >
>
>
> -------------------------
> Sheraz Khan, M.Eng, Ph.D.
> Instructor in Neurology
>
> Athinoula A. Martinos Center for Biomedical Imaging
> Massachusetts General Hospital
> Harvard Medical School
>
> McGovern Institute for Brain Research
> Massachusetts Institute of Technology
>
> Tel:   +1 617-643-5634
> Fax:   +1 617-948-5966
> Email: sheraz at nmr.mgh.harvard.edu
>        sheraz at mit.edu
> Web:   http://sheraz.mit.edu
>
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