[Eeglablist] Fw: Error using DIPFIT
Claudio Georgii
Claudio.Georgii at stud.sbg.ac.at
Sun Apr 26 02:33:22 PDT 2015
Hey,
i investigated the issue further and can now share additional information
with you:
The Data i load into EEGlab are .mat-Files created with the brain vision
analyser (BVA).
The error message only appears if i load the data using the
'pop_bvaoi'-plugin and does not appear if i use the 'pop_biosig'-plugin. In
addition, this error occurs if i load the raw files (.EDF) using the
corresponding plugin.
I hope this helps in understanding what goes wrong with this error message.
Best,
Claudio
2015-04-23 16:22 GMT+02:00 Claudio Georgii <Claudio.Georgii at stud.sbg.ac.at>:
> Dear Salim,
> Dear Makato,
>
> i run into the same problem after using the dipfit autofit or coarse grid
> option. I tried different Matlabversions (R2011a, R2013a, R2015a) as well
> as different EEGLAB versions (13_4_3b, 13_4_4b).
>
> Here is my error message in full:
>
> Error using ft_datatype_raw (line 85)
> inconsistent number of trials in raw data structure
>
> Error in ft_datatype_comp (line 105)
> raw = ft_datatype_raw(raw, 'version', rawversion,
> 'hassampleinfo', hassampleinfo, 'hastrialinfo',
> hastrialinfo);
>
> Error in ft_checkdata (line 223)
> data = ft_datatype_comp(data, 'hassampleinfo',
> hassampleinfo);
>
> Error in ft_dipolefitting (line 142)
> data = ft_checkdata(data, 'datatype', {'comp', 'timelock',
> 'freq'}, 'feedback', 'yes');
>
> Error in dipfit_gridsearch (line 106)
> source = ft_dipolefitting(cfg, comp);
>
> Error in pop_dipfit_gridsearch (line 135)
> EEGOUT = dipfit_gridsearch(EEG, 'component', select,
> 'xgrid', xgrid, 'ygrid', ygrid, 'zgrid', zgrid,
> options{:});
>
> Error in pop_multifit (line 133)
> EEG = pop_dipfit_gridsearch( EEG, [1:ncomps], ...
>
> I as well tried combinations of different preprocessing steps, for
> example: with or without component rejection, average referencing, epoching
> before ICA etc.
>
> Nothing works im quite desperate now. Even a preprocessing script that
> worked before, does not work anymore.
>
> Here are the requested information of my EEG.data (after
> ICA_runica_extended):
>
> I have a 72 channels recording. I excluded 7 physiological channels (EOG,
> EKG, etc.) as well as 7 headelectrodes due to their noise level and 1
> marker Channel --> Current Number of Channel is 57.
>
> >> size(EEG.data)
>
> ans =
>
> 57 512 96
>
> >> size(EEG.icaact)
>
> ans =
>
> 0 0
>
> >> length(EEG.chanlocs)
>
> ans =
>
> 57
>
> Thanks in advance for your help!
>
> Best,
> Claudio
>
>
>
> 2015-03-27 18:52 GMT+01:00 Makoto Miyakoshi <mmiyakoshi at ucsd.edu>:
>
>> Dear Salim,
>>
>> I don't see anything strange.
>> Go back to the data before IC rejection and try dipfit. Does it work? You
>> repeat going back the version of the processed data and at some point it
>> should work. Then compare what's the difference between valid one and
>> invalid one. Something critical happened between them.
>>
>> Makoto
>>
>> On Fri, Mar 27, 2015 at 3:32 AM, Salim Al-wasity <
>> salim_alwasity at yahoo.com> wrote:
>>
>>> Hi
>>> This dataset has 38 channels and 30 ICs. After trying the mentioned
>>> commands above I got:
>>>
>>> size(EEG.data)
>>> ans =
>>>
>>> 38 2094 66
>>>
>>>
>>> size(EEG.icaact)
>>> ans =
>>>
>>> 30 2094 66
>>>
>>>
>>> length(EEG.chanlocs)
>>> ans =
>>>
>>> 38
>>>
>>> When I run Autofit I got:
>>>
>>> Error using ft_datatype_raw (line 88)
>>> inconsistent number of channels in trial 1
>>>
>>> Maximum number of iterations reached. Fitting failed
>>> Transforming electrode coordinates to match head model
>>> the input is component data with 30 components and 38 original channels
>>> the input is raw data with 38 channels and 66 trials
>>>
>>>
>>>
>>> Sincerely
>>> Salim
>>>
>>>
>>>
>>>
>>> On Thursday, 26 March 2015, 18:09, Makoto Miyakoshi <
>>> mmiyakoshi at ucsd.edu> wrote:
>>>
>>>
>>> Try
>>>
>>> size(EEG.data)
>>> size(EEG.icaact)
>>> length(EEG.chanlocs)
>>>
>>> What do you get?
>>>
>>> Makoto
>>>
>>> On Sat, Mar 21, 2015 at 4:29 AM, Salim Al-wasity <
>>> salim_alwasity at yahoo.com> wrote:
>>>
>>> Dear Mr. Makoto
>>> Thanks for your reply.
>>> I still get the same error message when I modify the 'dipole_fit). I am
>>> wondering why EEGLAB says
>>> (inconsistent number of trials in raw data structure)
>>> and (the input is component data with 32 components and 44 original
>>> channels
>>> the input is raw data with 44 channels and 1 trials)?
>>>
>>> Sincerely
>>> Salim
>>>
>>>
>>>
>>>
>>> On Thursday, 19 March 2015, 18:39, Makoto Miyakoshi <
>>> mmiyakoshi at ucsd.edu> wrote:
>>>
>>>
>>> Dear Salim,
>>>
>>> Edit 'dipole_fit' line 117 and 119 'maxiter'. These numbers could be x10
>>> and it usually solves the problem.
>>>
>>> Makoto
>>>
>>> On Fri, Mar 6, 2015 at 6:44 AM, Salim Al-wasity <
>>> salim_alwasity at yahoo.com> wrote:
>>>
>>>
>>>
>>>
>>> Dears
>>> I got the following error when I tried to estimate the Dipoles of a
>>> dataset after removing some components.
>>> I tried different versions of EEGLAB (v13.3.2 and v13.4.4)
>>>
>>> The error message is:
>>>
>>> Error using ft_datatype_raw (line 85)
>>> inconsistent number of trials in raw data structure
>>>
>>> Maximum number of iterations reached. Fitting failed
>>> Transforming electrode coordinates to match head model
>>> the input is component data with 32 components and 44 original channels
>>> the input is raw data with 44 channels and 1 trials
>>>
>>> Sincerely
>>> Salim
>>>
>>>
>>> _______________________________________________
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>>>
>>>
>>>
>>> --
>>> Makoto Miyakoshi
>>> Swartz Center for Computational Neuroscience
>>> Institute for Neural Computation, University of California San Diego
>>>
>>>
>>>
>>>
>>>
>>> --
>>> Makoto Miyakoshi
>>> Swartz Center for Computational Neuroscience
>>> Institute for Neural Computation, University of California San Diego
>>>
>>>
>>>
>>
>>
>> --
>> Makoto Miyakoshi
>> Swartz Center for Computational Neuroscience
>> Institute for Neural Computation, University of California San Diego
>>
>> _______________________________________________
>> Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html
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>
>
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