I’m exporting MEG data to EEGLAB using
mne.export.export_epochs(path, epochs, 'EEGLAB', overwrite=True)
I’m confused by the data units contained in the output, once I open it and start analyzing it in EEGLAB.
For my analysis purposes I’m focusing on magnetometers. In the topographic map of the average error-minus-correct ERF (response locked), the autogenerated scale is ± 1.5 E-7 (see below). Units are not specified anywhere in the EEG struct as far as I can tell. The corresponding plots from MNE are displayed on the scale of ± 240 fT. (Note the EEGLAB topoplot is based on a subset of the participants as the MNE topoplot, which accounts for the slight differences).
If the EEGLAB plot was in T units, I would expect the scale to be on the order of E-13. Why is this not the case?
Platform: macOS-12.7.5-x86_64-i386-64bit
Python: 3.10.4 | packaged by conda-forge | (main, Mar 24 2022, 17:43:32) \[Clang 12.0.1 \]
mne: 1.0.0