[Eeglablist] Problems about DIPFIT

[Ramón Martinez]

Hi Michael and Li Xiang,
 We have fixed this issue recently in EEGLAB. To get the fixed version,
checkout the branch 'develop'  from our GIT repository (
https://bitbucket.org/sccn_eeglab/eeglab).
 Best,
 Ramon

On Thu, Sep 3, 2015 at 11:52 AM, Michael Boyle <mrboyle at live.unc.edu> wrote:

> Hey,
>
> You are correct, this is a bug in dipfit that only throws an error when
> the number of components is fewer than the number of data channels. It
> wasn't that hard to fix in the code (like 3 or 4 function calls deep from
> pop_multifit) but I haven't submitted the bug report yet.
>
> Michael
>
> On Thu, Sep 3, 2015, 13:46 lxraplikelx at qq.com <lxraplikelx at qq.com> wrote:
>
>> Dear EEGLABLIST
>>
>> Recently I am in trouble in using DIPFIT. I found a same problem
>> <http://sccn.ucsd.edu/pipermail/eeglablist/2015/009530.html> in the
>> archive of eeglablist but I couldn't find any solution.
>>
>> The problem is "*atatype_raw error*", and the error information is "*inconsistent
>> number of channels in trial 1*".
>>
>> My dataset was average-referenced, and PCA to (EEG.nbchan-1) when I run
>> ICA decomposition. I thought that maybe the discrepancy between the number
>> of channels and components caused that (I actually know it must reduce the
>> rank of the data when average-reference is used). Therefore I experimented
>> not to reduce the rank of data, but directly run ICA. With the data of same
>> numbers of channels and ICs, there is not aforementioned error any more.
>> However, It resulted in bad dipole fitting (e.g. all dipoles are outside or
>> converging to a same location). I do not know if my analysis pipeline is
>> correct. My pipeline is below:
>>
>>     1. import data (brain vision)
>>     2. 1-Hz high-pass filtering (considering good ICA results)
>>     3. clean line noise (CleanLine)
>>     4. downsample to 256-Hz
>>     5. load channel location and append online reference channel (FCz)
>>     5. average reference and add online reference channel back to data
>> at the same time
>>     6. remove channels (VEO, HEOR)
>>     7. run clean_rawdata (only to identify bad channels)
>>     8. average re-reference
>>     9. epoch and baseline-correction with the mean of whole epoch data
>>     10. reject bad epoch (semi-automatic)
>>     11. run ICA (with 'pca', EEG.nbchan-1)
>>     12. DIPFIT ---> error
>>
>>     PS: eeglab version is *13.2.2b*; matlab version is
>> *7.13.0.564 (R2011b)*
>>     PPS: I will try *Prep Pipeline* to pre-processe data in the future,
>> so with its *robust average*, it could also run into trouble for the
>> unbalancing number of channels and ICs.
>>
>> If any step of my pipeline is inappropriate and causes error I came
>> across, please tell me. I appreciate your helps!
>>
>> Best regards,
>>
>> Li Xiang
>> Southwest University, China
>> _______________________________________________
>> Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html
>> To unsubscribe, send an empty email to
>> eeglablist-unsubscribe at sccn.ucsd.edu
>> For digest mode, send an email with the subject "set digest mime" to
>> eeglablist-request at sccn.ucsd.edu
>
>
> _______________________________________________
> Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html
> To unsubscribe, send an empty email to
> eeglablist-unsubscribe at sccn.ucsd.edu
> For digest mode, send an email with the subject "set digest mime" to
> eeglablist-request at sccn.ucsd.edu
>



-- 
_____________________________________________________
Ramon Martinez-Cancino
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://sccn.ucsd.edu/pipermail/eeglablist/attachments/20150904/7708c695/attachment.html>