MNE meeting

Jan 25, 2021

Presented by: Richard Hoechenberger

Improvements:

• Easier to explore raw data

• mne.preprocessing.ICA

  • many parameters were the same in 0.22 (i.e. max_pca_components, n_pca_components): now a single argument is needed (n_components)

  • possible to interact directly on the ICA plot (right click on the ICA component to inspect it)

• Possible to detect muscle artifact automatically (z-score based procedure)

• describe method for raw data:

  • summary table (mean, max, std…)

  • allow to spot channel that can be problematic

  • can be exported as an excel or csv file

• MNE BIDS

  • Python package build upon MNE

  • reads and writes BIDS data

  • great advances, currently in development

• MNE study template

  • entire processing pipeline

  • create an html report

• When you need help with MNE

  • see the various tutorials

  • ask your usage questions on the brand new forum mne.discourse.group

• MNE office hours: bi-weekly video call with developers

• FreeSurfer

  • use for source localization

  • the version 7 doesn’t work on MNE, use the version 6

  • for now, FreeSurfer only works on Linux: a Docker will be developed to allow to run FreeSurfer on Windows

• Parallelization

  • want to run analysis on massive data on a remote machine

  • MNE team is looking into that: in the next few months it will be possible to tell MNE to process my data on a remote machine