Providing resting-state data as the clean reference in clean_windows.m about clean_rawdata HOT 3 CLOSED

Thank you Corentin, I am now closing this issue.

from clean_rawdata.

If your data are numerically ill-conditioned (e.g., rank-deficient), for instance after re-referencing and/or if the clean data are possibly too short for the given # of channels, then the method could fail to calculate some solutions correctly and that can look like it's injecting noise into the data like in your example. Such a thing has been observed in some rare cases in the past.

from clean_rawdata.

Dear Dr Kothe,

many thanks for your prompt reply.

You were absolutely right, using a different set of ERP and RESTING-EEG files solved the issue of sudden bursts of noise.

I have briefly compared two methods with the new set of files:

1. As presented above, providing ASR with RESTING-EEG data for the clean reference section before running ASR on the ERP recording
2. The usual method of ASR (i.e. letting ASR detect clean sections directly from the ERP recording)

While I was expecting a more efficient pre-processing while providing RESTING data as clean reference (Method 1), the results actually speak in favour of the usual ASR method (2):
RED = ERP preprocessed with Method 1
BLUE = ERP preprocessed with Method 2

On the whole recording, most eye-blinks were left undetected with Method 1 while they were adequately detected and corrected with Method 2.

Do these results make sense to you?
I know from experience that ERP recordings can be quite noisy (i.e. eye-blinks, muscle movements, etc. especially outside the component time window) and Resting-States are probably the best way to acquire clean EEG data, hence I am a bit surprised..

from clean_rawdata.