[Eeglablist] ICA Misinformation

Robert Thatcher rwthatcher2 at yahoo.com
Thu Jun 22 11:30:20 PDT 2017

Dear Stefan,    The attachment did not contain any measures of phase differences between channels.   It is very difficult to visually see differences in phase differences.  One must use the cross-spectrum to calculate phase differences and compare phase differences in degrees.   Phase difference varies from -180 to 180 degrees and one must look at the numbers.   Below is a url to the two power points that also show visually similar EEG tracings but also computed the instantaneous phase differences using the Hilbert transform (complex demodulation).  Four identical time points were selected and they demonstrated totally different phase differences with respect to the O1 channel and the other 18 channels.  No matter what reference channel one selects and no matter what identical time points one selects there are always large differences in the phase difference between channels in all frequency bands.   I also computed the average phase difference in the artifact free parts of the record and the averages were statistically significantly different at P < 0.0001 and the same for the FFT.
Proof of phase difference adulteration is in the power points.   I am again copying the hyperlink here:


This cannot be explained by a low quality ICA reconstruction because the ICA reconstruction was conducted by Arnu using EEGLab software.
RobertOn Thursday, June 22, 2017, 2:00:19 PM EDT, Stefan Debener <stefan.debener at uni-oldenburg.de> wrote:

Dear Robert,

I looked up some own data and find absolutely no evidence in favour of 
your ICA phase adulteration claim, see the attached pdf report. I guess 
you simply used a poor ICA implementation, and/or a poor component 
selection. The attached example is in full accordance with Arnos reply, 
with the difference that I zoom into a clearly visibile alpha 
oscillation, to have a reference brain signal. The example shows no 
evidence that occipital alpha phase is biased by ICA eye blink 
correction. This is a very typical example and based on a quick and 
dirty ICA decomposition, nothing fancy, to keep this demo simple. Better 
preprocessing and component selection would easily further improve the 
signal quality.



Am 20.06.17 um 19:53 schrieb Robert Thatcher:
> Dear Arno,
> 1)*On Phase Differences in the Original vs the Delorme ICA 
> Reconstruction: *We can agree or disagree about whether or not some 
> small eye movement artifact was in the hand selection that I did.  But 
> that misses the main point here.  That is the ICA reconstruction 
> alters each and every data point in the entire record including all 
> artifact free portions no matter what one selects. For example, the 
> record is 6 minutes and 51 seconds = 411 seconds.  The Mitsar sample 
> rate was 250 samples per second = 102,750 data samples. Phase 
> difference for each frequency band for each and every one of the 
> 102,750 data samples has been altered by your own ICA reconstruction 
> in the EDF file that you emailed to me. Unless you were to sit next to 
> me or if we do a Team Viewer it is not possible for me to demonstrate 
> this for all of the data points and then create a power point for all 
> of these data samples.  However, I can show some exemplars, for 
> example, I have created two figures at 4 different time points (1 sec; 
> 2:27 sec; 42 sec & 5:49 sec) that you can download. You can extract 
> each screen capture and expand them so that you can see that the exact 
> same time points were selected and the Hilbert transform JTFA for the 
> 4 time points resulted in different phase differences in all channel 
> combinations with respect to O1 for all frequencies.  The same is true 
> no matter which channel is selected to compute the phase differences 
> in degrees.  The same is true also if one computes averages of the 
> instantaneous phase differences or if one uses the FFT.  Here is the 
> download URL:
> http://www.appliedneuroscience.com/Phase_Diff-Original_&_Delorme-Post-ICA-4_time_points.zip
> 2)*On the WinEEG ICA Reconstruction: *I agree that having access to 
> ICA components themselves and the topography is critical in 
> understanding exactly what the WinEEG software did. Unfortunately, I 
> personally do not have access to the WinEEG software. 
> Clinician/Scientists in Australia use the WinEEG software and they 
> were the ones that expressed concern about phase difference distortion 
> at a workshop in Adelaide and gave me the original and the WinEEG ICA 
> eye movement corrected files in EDF format.  They explained that they 
> removed only one ICA component for eye movement before they 
> reconstructed a new time series.  At first, I was impressed because 
> the eye movements were absent in the reconstructed time series.  I 
> then was able to use JTFA (Hilbert transform) to compare the two edf 
> files and discovered that all of the phase differences for all 
> channels for all frequencies had been altered by the ICA 
> reconstruction including artifact free periods.  I could demonstrate 
> this by individual time comparisons or averages of instantaneous phase 
> differences or by the FFT.  A user of WinEEG explained that they do 
> not throw away the original raw digital data, however I was told that 
> they believe that the ICA reconstructed times series is artifact free 
> and therefore they compute means and standard deviations for their 
> normative database using the ICA reconstructed data and not the hand 
> edited or artifact deleted original data samples like other commercial 
> companies do.  Your ICA reconstructed time series is actually less 
> different than the original phase difference in comparison to the 
> WinEEG ICA.  Nonetheless, both your ICA reconstruction and the WinEEG 
> reconstructions are significantly different than the original recording.
> Best regards,
> Robert
> Cp���
> On Tuesday, June 20, 2017, 1:12:41 AM EDT, Arnaud Delorme 
> <arno at ucsd.edu> wrote:
> Dear Robert,
> 1) *On my ICA decomposition analysis on your data.* You have selected 
> a subset of the file where there is 1 minute and 41 second data of eye 
> free data. I was only able to select 40 seconds in the same file, and 
> I also showed that even in this short file, there was some residual 
> eye movements. Jason and Stefan agreed with me. This is the reason why 
> ICA components power spectrum over frontal channels (and frontal 
> channels only) was affected below 10 Hz frequency band in my data 
> analysis. So on my ICA decomposition, our disagreement comes from the 
> interpretation. You feel that the power we remove at low frequency in 
> frontal channel is not eye movement. In an attempt to convince you, I 
> have picked up a clean region from your EDF dataset, and did some 
> dipole localization at this latency. We see that in the clean data, 
> the best dipolar fit (with 2 symmetrical dipoles) ends up near the eye 
> balls with a residual variance of 6.9%. Hopefully this convinces you 
> that your data is not free of eye movement artifacts. If you are 
> willing to take a step further you might contemplate the idea that ICA 
> can remove this residual spurious activity.
> 2) *On the WinEEG ICA decomposition analysis.* It is critical for us 
> to see the scalp topography (and if possible continuous activity) of 
> the components the people at the Australia workshop selected. Without 
> this, it is not possible for us to comment on the cleaned data. I 
> agree with you that there was some phase distortion in alpha (visible 
> directly in the raw data in the first email you sent) and that this 
> should not be the case. However, without seing the ICA decomposition, 
> it is not possible for us to conclude as to wether people selected the 
> wrong ICA components or if the ICA decomposition implemented in this 
> software is buggy (ICA is not a simple algorithm and it is sensitive 
> to numerical imprecision and a lot of other parameters - a suboptimal 
> implementation could easily explain the WinEEG results). Also, you 
> seem to imply that the WinEEG people were running ICA on their data 
> then throwing away the raw data (which is why their ICA biased 
> neurofeedback database is useless for practical purposes). Is that 
> correct? One should never throw away the raw data. If they did throw 
> away the raw data, it is an indication that the WinEEG are not 
> rigorous in their approach and therefore might not have implemented 
> ICA in an optimal way. If it is not the case, one may easily 
> reconstruct the database of measures with or without ICA decomposition 
> (assuming ICA is done right which does not seem to be the case) then 
> assess data measure distoritions (power, phase index, etc…) in a 
> statistical fashion.
> Best wishes,
> Arno
> http://sccn.ucsd.edu/~arno/download/clean_edf_file_analysis2.pdf 
> <http://sccn.ucsd.edu/%7Earno/download/clean_edf_file_analysis2.pdf>
>> On Jun 18, 2017, at 11:44 AM, Robert Thatcher <rwthatcher2 at yahoo.com 
>> <mailto:rwthatcher2 at yahoo.com>> wrote:
>> <Pre-ICA-Hand Artifact free selections.edf>
> Dieser Nachrichteninhalt wird auf Anfrage komplett heruntergeladen.

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