Version 0.3 (2022-03-01)

This version has bug fixes minor improvements in certain functions. A big change is the renaming of functions spectral_connectivity to spectral_connectivity_epochs, which makes it explicit that the function operates over Epochs, rather than time. Importantly, we also provide a conda installation now.

Enhancements

• Adding symmetric orthogonalization via mne_connectivity.symmetric_orth(), by Eric Larson (#36)

• Improved RAM usage for mne_connectivity.vector_auto_regression() by leveraging code from statsmodels, by Adam Li (#46)

• Added mne_connectivity.select_order() for helping to select VAR order using information criterion, by Adam Li (#46)

• All connectivity functions retain events, event_id and metadata from mne.Epochs objects as input and is stored as part of the connectivity object, by Adam Li (#58)

• Add spectral connectivity over time function mne_connectivity.spectral_connectivity_time(), by Adam Li (#67)

• Add conda installation, by Adam Li and Richard Höchenberger (#81)

Bug

• Fixed bug when saving connectivity with n_jobs greater than 1 from mne_connectivity.spectral_connectivity_epochs(), by Adam Li (#43)

• Fixed bug to allow saving complex data connectivity, by Adam Li (#43)

• Fixed bug to keep label orientation upright in mne_connectivity.viz.plot_connectivity_circle(), by Alexander Kroner (#60)

API

• Added h5netcdf as a requirement for saving connectivity data, by Adam Li (#43)

• Changed keyword argument model_order in mne_connectivity.vector_auto_regression() to lags to more align with statsmodels API, by Adam Li (#47)

• Add pandas as a requirement for dealing with metadata associated from the original Epochs file, by Adam Li (#58)

• Rename mne_connectivity.spectral_connectivity to mne_connectivity.spectral_connectivity_epochs(), by Adam Li (#69)

Authors

• Adam Li

• Alexander Kroner

• Eric Larson

• Richard Höchenberger