Add more information to eSSS in examples and docsstring

[skjerns]

fixes #13581

I've added some more information on eSSS and how to apply it. I'm far from an expert in SSS, so please let me know if my wording is correct.

Additional information

I think it might also be nice to have a full workflow in the example section that applys teSSS, together with head movement correction. Is there a dataset which would be used for that? Else we could record a small dataset for this purpose and upload it somewhere.

[larsoner]

Just a few minor commits, I'll push and then merge when green, thanks @skjerns !

[larsoner]

Oh I just saw draft and main comments, so I won't mark for merge

I think it might also be nice to have a full workflow in the example section that applys teSSS, together with head movement correction. Is there a dataset which would be used for that? Else we could record a small dataset for this purpose and upload it somewhere.

• One option would be just to link to https://github.com/ilabsbrainteam/2022-Best-Practices-Infant-MEG and https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.25871 which does this
• There are tutorials/preprocessing/59_head_positions.py and tutorials/preprocessing/60_maxwell_filtering_sss.py. Neither of these are ideal but this would be next "least effort"
• Finally you could use https://osf.io/2xf4y/files/upj3h which we use in MNE-BIDS-Pipeline, but it's adults so the head movement is minimal and it takes a bit of work to add a dataset to MNE-Python (and there's CI overhead, etc.) so not sure it's worth it

[skjerns]

Oh I just saw draft and main comments, so I won't mark for merge

I think it might also be nice to have a full workflow in the example section that applys teSSS, together with head movement correction. Is there a dataset which would be used for that? Else we could record a small dataset for this purpose and upload it somewhere.

• One option would be just to link to https://github.com/ilabsbrainteam/2022-Best-Practices-Infant-MEG and https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.25871 which does this
• There are tutorials/preprocessing/59_head_positions.py and tutorials/preprocessing/60_maxwell_filtering_sss.py. Neither of these are ideal but this would be next "least effort"
• Finally you could use https://osf.io/2xf4y/files/upj3h which we use in MNE-BIDS-Pipeline, but it's adults so the head movement is minimal and it takes a bit of work to add a dataset to MNE-Python (and there's CI overhead, etc.) so not sure it's worth it

Okay, given the complexity of adding a new dataset, I guess it's easiest to link the tutorial.

Generally it would be great to have an improved MaxFilter tutorial that shows all the variants that SSS can have (with/without movement correction, move to default head position, move to average head position of other participants, tSSS, eSSS, etc etc), as some of the functionality is slightly underdocumented currently. But generally the information is there, it's just in different examples/tutorials/docstrings