mne-tools / mne-bids-pipeline

Automatically process entire electrophysiological datasets using MNE-Python.
https://mne.tools/mne-bids-pipeline/
BSD 3-Clause "New" or "Revised" License
134 stars 65 forks source link

ENH: Write out raw data and SSP events #840

Closed larsoner closed 6 months ago

larsoner commented 6 months ago

Before merging …

Closes #831

Also does some cleanup of processing= where we errantly used some uncleaned data -- not just no SSP (which would be taken into account during inversion at least), but no ICA, no regression, and no filtering it seems.

larsoner commented 6 months ago

All green, ready for review/merge from my end @hoechenberger @agramfort !

I pushed a [ci skip] commit just to remove an errant line from v1.6.md so no need to run CIs again, can just be merged without waiting for requirements if there are no review comments.

larsoner commented 6 months ago

... you can see an example of the Raw (clean) here:

https://output.circle-artifacts.com/output/job/5a50001f-886a-48c7-8e3f-cbcec122019e/artifacts/0/site/examples/ds000248_base/sub-01_task-audiovisual_report.html#Raw__clean___run__01_

I think it's useful enough to have these raw runs for comparison with the original and filtered ones in terms of time traces and PSDs to just have this always on (rather than add an option for it, which was a potential idea in #831)