[Mne_analysis] mne_make_movie cannot find data set

[Jeff Eriksen]

Alex,

I will explore these two suggestions. I do find it odd that apparently MNE
has no straightforward path to analyze unaveraged data. I thought some
people used it for epilepsy analysis?

I am perfectly happy to use Matlab at this point (no experience with
Python - is there a version for Macintosh?). I tried initially to use
Matlab to import my EEG data but that was very difficult, even with help,
and I was encouraged to use mne_edf2fiff instead.

Thanks,
-Jeff


On 4/23/12 10:07 AM, "Alexandre Gramfort" <gramfort at nmr.mgh.harvard.edu>
wrote:

>hi jeff,
>
>I see 2 options:
>
>option 1: make an event file with only 1 event and generate a fake evoked
>data
>option 2: use matlab or python [1]
>
>modifying mne_make_movie would be much more difficult.
>
>Alex
>
>[1] 
>http://martinos.org/mne/auto_examples/inverse/plot_compute_mne_inverse_raw
>_in_label.html
>
>On Mon, Apr 23, 2012 at 6:58 PM, Jeff Eriksen <eriksenj at ohsu.edu> wrote:
>> I sent this to Matti, sharing it to the list now. I am using a single
>>epoch
>> of raw data, not an averaged evoked response, but apparently
>>mne-make-movie
>> is expecting the later?. mne_analysze will not work for this type of
>>data,
>> so I am trying to use mne-make-movie. The error I am getting below seems
>> like the type of error mne-analyze would give with this EEG data.
>>
>> -Jeff
>>
>> From: Jeff Eriksen <eriksenj at ohsu.edu>
>> To: Matti Hamalainen <msh at nmr.mgh.harvard.edu>
>> Subject: Re: cannot run mne_browse_raw - missing libXft.2.dylib
>>
>> A new issue. When I tried to make an STC file, it could not find the
>>data
>> set (highlighted in yellow below if your email supports that). Since I
>>could
>> not load the data set in mne_analyze, it was recommened to me to use
>> mne-make-movie and make an STC file, and this is the first chance I
>>have had
>> to try it.
>>
>> -Jeff
>>
>> 
>>*************************************************************************
>>*******************************************
>> kje-macbook:MNE jefferiksen$ mne_make_movie --inv A1_smpl_ico3-inv.fif
>> --meas A1_smpl.fif --signed --subject AIRC0001 --stc A1_smpl_ico3.stc
>>--set
>> 1
>>
>> mne_make_movie version 1.35 compiled at Jan  7 2011 02:27:27
>> Create movies and tif, rgb, jpeg, png, or w files  using a precomputed
>> inverse operator decomposition
>>
>> Inverse operator       : A1_smpl_ico3-inv.fif
>> MEG/EEG data file      : A1_smpl.fif
>> stc file output        : A1_smpl_ico3.stc
>> Use constant SNR       : 3.0
>>                          Calculate current expectation value
>>                          Indicate current direction with sign.
>> Subject                : AIRC0001
>> Visualization surface  : inflated
>>                          Process both hemispheres
>>
>> -------------------------------------------------------------------
>>
>> Loading the inverse operator...
>> Read 2 source spaces from A1_smpl_ico3-inv.fif with a total of 1284
>>source
>> locations
>> Read the sensor covariance matrix (full)
>> Read the source covariance matrix (diagonal)
>> Measurement file id not found (omit matching).
>> Solution is based on EEG.
>> Inverse operator information was stored in head coordinates.
>> Depth-weighting prior information read.
>> Source orientations read.
>> Singular values read.
>> Eigenvectors read.
>> Number of channels = 257
>> Number of sources  = 1284
>> Fixed source orientations
>> Location information in head coordinates
>> Projection in effect:
>> # 1 : Average EEG reference : 1 vecs : 257 chs EEG active
>> Loaded inverse operator from A1_smpl_ico3-inv.fif
>> Triangle normals and neighboring triangles...[done]
>> Vertex neighbors...[done]
>> Distances between neighboring vertices...[780258 distances done]
>> Triangle normals and neighboring triangles...[done]
>> Vertex neighbors...[done]
>> Distances between neighboring vertices...[789534 distances done]
>> Loading the measurement data...
>> No evoked response data available here
>> kje-macbook:MNE jefferiksen$
>> 
>>*************************************************************************
>>**********************************
>>
>>
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