What was new in previous releases?#

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 then 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#

People who contributed to this release (in alphabetical order):

Version 0.2 (2021-09-07)#

In this version, we return the relevant Connectivity class from each of the connectivity estimation functions. These internally use xarray to represent the connectivity data. One can easily get the v0.1 numpy array by doing conn.get_data(), which will get exactly the same output as one got in v0.1 running any of the connectivity functions.

Changelog#

Adding Connectivity, TemporalConnectivity, SpectralConnectivity and SpectroTemporalConnectivity as a data structure to hold connectivity data, by Adam Li (#6)
Adding EpochConnectivity, EpochTemporalConnectivity, EpochSpectralConnectivity and EpochSpectroTemporalConnectivity as a data structure to hold connectivity data over Epochs, by Adam Li (#6)
indices argument in Connectivity classes can now be symmetric, allowing for memory-efficient storage of symmetric connectivity, by Adam Li (#20)
New function save in Connectivity classes along with read_connectivity() can now be used to write and read Connectivity data as netCDF files, by Adam Li (#20)
New function vector_auto_regression() to compute dynamic connectivity vector auto-regressive (VAR) model, by Adam Li (#23)

API#

envelope_correlation(), spectral_connectivity, and phase_slope_index() all return _Connectivity containers now, by Adam Li (#6)
Added xarray as a dependency where all connectivity containers are now underlying xarrays, by Adam Li (#6)
The combine argument in envelope_correlation() was removed, and now all Epoch Connectivity classes have a combine class function, by Adam Li (#20)

Authors#

People who contributed to this release (in alphabetical order):

Version 0.1 (2021-06-25)#

Changes when mne-connectivity was part of MNE-Python#

In July, 2021, mne.connectivity submodule was ported over from the MNE-Python repo into this repository, mne-connectivity as v0.1. Starting v0.24 of MNE-Python, that sub-module will be deprecated and development will move over into this repository. Starting v0.25 of MNE-Python, mne.connectivity will completely be removed.

Authors#

People who contributed to this release (in alphabetical order):

Adam Li