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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

  • 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