[Eeglablist] Error while precomputing STUDY: NaN values in cluster.sets

Sebastian Grissmann sebastian.grissmann at lead.uni-tuebingen.de
Wed Dec 2 03:33:43 PST 2015


Hi there,

I had the same issue twice.

The only (suboptimal) solution I found
was to remove the subjects with NaN values.

Best,
Sebastian



Quoting Nikola Vukovic <vukovicnikola at gmail.com>:

> Hi Tarik,
>
> Indeed this seems to be a long standing bug - it has stalled my analysis
> for two weeks now... I have found one similar post on Bugzilla a couple of
> years ago, but it was not resolved, and so I posted it again there (
> https://sccn.ucsd.edu/bugzilla/show_bug.cgi?id=1822), but it hasn't been
> looked at by the admins...
>
> As for EEGLab not knowing which dataset belongs to which subject, it must
> be due to some non-obvious field. At study creation, I tag all datasets
> with subject and condition information, like this:
> { 'index' 1 'load' '/EEG/RF01/Epoched/RF01_S 1.set' 'subject' 'RF01'
> 'condition' 'IAllo' }
>
> N
>
> On Tue, Dec 1, 2015 at 5:45 AM, Tarik S Bel-Bahar <tarikbelbahar at gmail.com>
> wrote:
>
>> Greetings,
>>
>> I've seen this several times, and it's led to a lot of wasted time. I'm
>> sure others have come across it before,  perhaps it was already mentioned
>> it on eeglablist posts, did you check?.
>>
>> This issue sounds like a bug, if so it should be reported to the EEGLAB
>> bugzilla.
>>
>> I believe that the problem is that eeglab is looking for exactly matching
>> ICs across datasets that it considers to be coming from one ID or subject.
>> I would also check if there is not some special information (such as ID or
>> group) that is being read incorrectly and affecting how STUDY thinks about
>> organizing the ICs.
>>
>> Try uploading a small study of short datasets with the ICs, which
>> replicates the problem when STUDY is set up.
>>
>>
>>
>>
>> On Wed, Nov 25, 2015 at 10:41 AM, Akshay Maggu <akshaymaggu86 at gmail.com>
>> wrote:
>>
>>> Hi Nikola,
>>>
>>> I am facing the same issue. All pre-processing steps carefully followed
>>> and ICAs done for all subjects. But still this 'Na' error (
>>> https://www.dropbox.com/s/sw6xvujbalidg24/error_preclustering.JPG?dl=0)
>>> pops up saying that some of the datasets have ICA decompositions missing.
>>>
>>> Let's see what experts on the list have to say about it.
>>>
>>> Akshay
>>>
>>> On Tue, Nov 24, 2015 at 7:33 AM, Nikola Vukovic <vukovicnikola at gmail.com>
>>> wrote:
>>>
>>>> Dear EEGLAB list
>>>>
>>>> I would be very grateful is someone could help me out with an error I've
>>>> been getting. When I try to precluster components in a given STUDY (it
>>>> happens for several study files), I get the following error:
>>>>
>>>> FOR CLUSTERING, YOU MAY ONLY USE DIPOLE OR SCALP MAP CLUSTERING. This is
>>>> because some datasets do not have ICA pairs. Look for NaN values in
>>>> STUDY.cluster(1).sets which indicate missing datasets. Each column in this
>>>> array indicate datasets with common ICA decompositions.
>>>>
>>>> Looking inside the cluster(1).sets, I can indeed find some NaN  
>>>> fields, suggesting not all files have associated ICA  
>>>> decomposition data. This, however, is puzzling because I made  
>>>> sure to do ICA on each subject's dataset *before* epoching,  
>>>> meaning that all sets for individual conditions share the same  
>>>> weights for a subject. After getting this error I even tried to  
>>>> copy the weights (EEG.icawinv + EEG.icasphere + EEG.icaweights +  
>>>> EEG.icachansind) from the unepoched set to all the epoched ones.
>>>>
>>>> Did anyone have this error too, and how could it be solved?
>>>>
>>>> Thanks for any help,
>>>>
>>>> Nikola
>>>>
>>>>
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>>>
>>>
>>>
>>> --
>>> Akshay Raj Maggu,
>>> PhD Candidate,
>>> Laboratory for Language, Learning and the Brain,
>>> Department of Linguistics and Modern Languages,
>>> The Chinese University of Hong Kong,
>>> Hong Kong.
>>> Webpage: http://www.cuhk.edu.hk/lin/new/people/students/maggu/
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>>> need to.....*
>>>
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>>
>>



-- 
Sebastian Grissmann (Mag. rer. nat)
PhD student

LEAD Graduate School
University of Tübingen
Gartenstrasse 29 (1st floor)
72074 Tübingen
Germany
Phone  +49 7071 29-73579

www.lead.uni-tuebingen.de



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