[Mne_analysis] Fwd: Example on SPM Faces dataset - 2 questions
pascarel at dima.unige.it
pascarel at dima.unige.it
Thu Mar 24 17:04:19 EDT 2016
Dear MNE users,
I came back with a problem using mne.gui.coregistration() with CTF data.
I loaded the spm sbj and the raw file
SPM_CTF_MEG_example_faces1_3D_raw.fif and
1) I couldn't see Fiducial points
2) I couldn't see the MEG sensors
About point 1) the problem is that Christian Brodbeck wrote in the
email I attached.
If I change the 'kind' key of raw.info['dig'] to FIFF.FIFFV_POINT_CARDINAL
I'm able to see the fiducial points in the GUI, even if I think there
is probably
a mistake in assignment the nasion, lpa and rpa.
I think the right assignment should be
raw.info['dig'][0]['ident'] = 2
raw.info['dig'][1]['ident'] = 1
raw.info['dig'][2]['ident'] = 3
Does it make sense?
About point 2) I thought the problem could be the 'coil_type' of
raw.info['chs'] has
the value 201609. I tried to change this value but it didn't happen when
I import the data in the GUI.
I also tried to perform the co-registration in mne_analyze but when I
import the
raw file I get the following error message
No suitable coordinate transformation found in
SPM_CTF_MEG_example_faces1_3D_raw.fif
Thanks for any suggestions!
best regards
Annalisa
----- Messaggio inoltrato da Christian Brodbeck
<christianbrodbeck at nyu.edu> -----
Data: Mon, 5 Oct 2015 10:02:22 -0400
Da: Christian Brodbeck <christianbrodbeck at nyu.edu>
Rispondi-A: Discussion and support forum for the users of MNE Software
<mne_analysis at nmr.mgh.harvard.edu>
Oggetto: Re: [Mne_analysis] Example on SPM Faces dataset - 2 questions
A: Alexandre Gramfort <alexandre.gramfort at telecom-paristech.fr>
Cc: Discussion and support forum for the users of MNE
Software <mne_analysis at nmr.mgh.harvard.edu>
Looking at the spm-faces raw info:
In [3]: raw.info['dig']
Out[3]:
[{'coord_frame': 4,
'ident': 3,
'kind': 2,
'r': array([ 4.30736691e-09, 9.82968360e-02, 0.00000000e+00],
dtype=float32)},
{'coord_frame': 4,
'ident': 1,
'kind': 2,
'r': array([ -7.32455477e-02, -3.20142135e-09, 0.00000000e+00],
dtype=float32)},
{'coord_frame': 4,
'ident': 2,
'kind': 2,
'r': array([ 7.07898811e-02, 2.96859071e-09, 0.00000000e+00],
dtype=float32)}]
but in the GUI we are selecting fiducial points with
d['kind'] == FIFF.FIFFV_POINT_CARDINAL
and
In [8]: FIFF.FIFFV_POINT_CARDINAL
Out[8]: 1
In [12]: FIFF.FIFFV_POINT_HPI
Out[12]: 2
so, is there something wrong with the spm-faces file (Fiducials stored
as HPI)? Or are fiducials sometimes identical with HPI and the GUI
should use them as such?
The latter would actually cause a conflict with our KIT files, because
HPI points and fiducials which are not identical have the same “ident”:
In [16]: [d for d in kraw.info['dig'] if d['kind'] < 3]
Out[16]:
[{'coord_frame': 4,
'ident': 2,
'kind': 1,
'r': array([ 0.00000000e+00, 1.07987508e-01, -1.38777878e-17],
dtype=float32)},
{'coord_frame': 4,
'ident': 1,
'kind': 1,
'r': array([ -7.57353827e-02, 1.04083409e-17, 1.38777878e-17],
dtype=float32)},
{'coord_frame': 4,
'ident': 3,
'kind': 1,
'r': array([ 6.99156001e-02, 0.00000000e+00, 1.38777878e-17],
dtype=float32)},
{'coord_frame': 4,
'ident': 0,
'kind': 2,
'r': array([-0.07321275, 0.0070182 , -0.00094954], dtype=float32)},
{'coord_frame': 4,
'ident': 1,
'kind': 2,
'r': array([ 0.06706881, 0.01023183, -0.00318275], dtype=float32)},
{'coord_frame': 4,
'ident': 2,
'kind': 2,
'r': array([ 0.00344993, 0.11684198, 0.02777481], dtype=float32)},
{'coord_frame': 4,
'ident': 3,
'kind': 2,
'r': array([-0.03729108, 0.1059907 , 0.03130391], dtype=float32)},
{'coord_frame': 4,
'ident': 4,
'kind': 2,
'r': array([ 0.0470689 , 0.09996997, 0.03072358], dtype=float32)}]
Although a potential solution could use HPI only if no Cardinal points
are present?
> On Oct 4, 2015, at 11:02 AM, Alexandre Gramfort
> <alexandre.gramfort at telecom-paristech.fr> wrote:
>
> hi Annalisa,
>
>> I have two different questions about the example plot_spm_faces_dataset.py.
>>
>> 1) If I run the code and I try to plot the ICA components on time
>>
>>>>> show_picks = numpy.abs(eog_scores).argsort()[::-1][:5]
>>>>> fig1=ica.plot_sources(raw, show_picks, exclude=eog_inds)
>>
>> I obtain the figure u find in attachment.
>> My question is: why do I see the ref channels?
>>
>> In the old mne-python version I had a different layout, as that
>> shown in plot_ica_from_raw.py.
>>
>> What's wrong?
>
> we improved the layout. But indeed there is no point is showing the
> meg reference channels.
>
> We'll fix it this week.
>
>> 2) I tried to co-register using mne.gui.coregistration()
>>
>> I load the spm sbj and the raw file
>> SPM_CTF_MEG_example_faces1_3D_raw.fif.
>> Does this file contain only the fiducial points?
>
> yes
>
>> If yes, when I load the raw file I can't see the fiducials in the gui.
>
> maybe Christian knows. Do you see them with mne_analyze?
>
>> Where I'm making a mistake?
>
> I don't think you do :)
>
> Best,
> Alex
----- Fine messaggio inoltrato. -----
--
Dott. Annalisa Pascarella
Istituto per le Applicazioni del Calcolo "M. Picone"
Consiglio Nazionale delle Ricerche
Via dei Taurini 19, 00185 Roma (Italy)
Ph.:+39-0649270946; Fax:+39-064404306
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