Baseline correction and re-referencing for ERPs

[DavidLoughrey]

@Francois

If you follow the guidelines of the group analysis tutorial, the weighted average is used only for averaging different run-level average together (if you have only one run, then there is no weighted average possible), and across subjects we did NOT use a weighted average not to introduce any bias towards a given subject, but the imbalance between subjects should not be too large.

Thank you Francois. That makes sense.

@Francois

This looks unlikely that you applied a high-pass filter at 0.5Hz on this data

My first step after importing raw files was the band-pass filter using the script below. I then resampled. I obtained a new folder with a new raw file titled 'Raw | band(0.5-30Hz) | resample(256Hz)'.

% Process: Band-pass:0.5Hz-30Hz
sFiles = bst_process('CallProcess', 'process_bandpass', sFiles, , ...
'sensortypes', 'EEG', ...
'highpass', 0.5, ...
'lowpass', 30, ...
'tranband', 0, ...
'attenuation', 'strict', ... % 60dB
'ver', '2019', ... % 2019
'mirror', 0, ...
'read_all', 1);

@Francois

weighted average of one epoch for one subject": there is some terminology issue here - if this is one epoch it is not averaged, if this is an average of single trials for one subject, it is not weighted by anything (or more precisely, the weight is 1 for all the files, so it is the same as a regular average)

Sorry this graph is the average of single trials for one subject.