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      • Tutorials
        • Getting started
        • Working with MNE data structures
        • Preprocessing
        • Source localization
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  • Tutorials
    • Getting started
    • Working with MNE data structures
    • Preprocessing
    • Source localization
    • Statistics
      • Sensor space
      • Source space
    • Visualization and Reporting
    • Command line tools
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  • Basic MEG and... »
  • Tutorials¶

    Getting started¶

    • Basic MEG and EEG data processing

    Working with MNE data structures¶

    • Creating MNE-Python’s data structures from scratch
    • The Info data structure
    • The Raw data structure: continuous data
    • The Epochs data structure: epoched data
    • Export epochs to Pandas DataFrame

    Preprocessing¶

    • Compute ICA on MEG data and remove artifacts

    Source localization¶

    • Basics of source localization

    Statistics¶

    Sensor space¶

    • Permutation t-test on toy data with spatial clustering
    • Spatiotemporal permutation F-test on full sensor data
    • Non-parametric 1 sample cluster statistic on single trial power
    • Non-parametric between conditions cluster statistic on single trial power

    Source space¶

    • Mass-univariate twoway repeated measures ANOVA on single trial power
    • 2 samples permutation test on source data with spatio-temporal clustering
    • Repeated measures ANOVA on source data with spatio-temporal clustering
    • Permutation t-test on source data with spatio-temporal clustering

    Visualization and Reporting¶

    • Getting started with MNE report command

    Command line tools¶

    • Getting started with MNE command line

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