[Eeglablist] Error in "runica"

Arnaud Delorme arno at ucsd.edu
Tue Dec 23 19:57:18 PST 2014


Dear Roni,

If you use average reference, the rank of the matrix should be the number of channel minus 1.
EEGLAB tries to detect that automatically but will probably fail if you filter the data after rereferencing (for example).

Arno

On Dec 23, 2014, at 6:45 PM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu> wrote:

> Dear Roni,
> 
> My initial guess is that you re-referenced the data before ICA. See the following link.
> 
> http://sccn.ucsd.edu/wiki/Makoto%27s_preprocessing_pipeline#Re-reference_the_data_to_average
> 
> I'm sorry for the slow response.
> 
> Makoto
> 
> On Fri, Dec 12, 2014 at 3:28 AM, Roni Shafir <ronishafir1 at gmail.com> wrote:
> Hello all,
> I'm trying to run "runica" on our EEG data in order to remove eye-blinks artifacts.
> The data is recorded using BioSemi with 64 scalp electrodes and additional 5 (EX1-EX5) reference electrodes. The number of channels for the "runica" function is 72 (including EX6-EX8).
> With most of the subjects, the function returns 72 ICs. However, with some subjects we get only 71 ICs. What could be a possible reason for this variability?
> I'm receiving the following error massage:
> 
> Attempting to convert data matrix to double precision for more accurate ICA results.
> Data rank (71) is smaller than the number of channels (72).
> runica(): Even number of input arguments???Error in runica (line 135)
> if nargin < 1
> 
> Output argument "sphere" (and maybe others) not assigned during call to
> "C:\Users\Asus\Downloads\eeglab10_2_4_4a\eeglab10_2_4_4a\functions\sigprocfunc\runica.m>runica".
> 
> Error in pop_runica (line 385)
>             [EEG.icaweights,EEG.icasphere] = runica( tmpdata, 'lrate', 0.001, g.options{:} );
> 
> Error in Analyze_2249 (line 148)
>             EEG = pop_runica(EEG, 'icatype','runica','dataset',1,'options',{'extended' 1}); %Running Runica ICA
> 
> 
> I would appreciate your help.
> Thanks!
> Roni
> 
> 
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> 
> 
> -- 
> Makoto Miyakoshi
> Swartz Center for Computational Neuroscience
> Institute for Neural Computation, University of California San Diego
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