Connectivity module

Connectivity measures

Available metrics:

• WPLI (weighted phase lag index)

• PLM (phase linearity measurement)

• phase transfer entropy (PTE): https://www.sciencedirect.com/science/article/pii/S1053811913009191#s0120

• Granger Causality

Some utilities:

• jackknife resampling

• cross-spectral density (CSD)

Todo

• PDC

• Epoch based vs Continuous !?

• Coherence

• Imaginary Coherence

• Phase Coherence

• SL (Synchronization Likelihood)

• PLT (Phase Lag Time)

• AEC (amplitude envelope correlation)

Update:

• 16/11/2023: added Granger Causality

• 10/11/2023: moved simulate_(V)ar to pyeeg.simulate

• 09/11/2023 Added phase_transfer_entropy, simulate_ar, simulate_var

Functions

granger_causality(X[, nlags, time_axis, verbose])	Compute the Granger causality matrix of a multivariate time series.
phase_transfer_entropy(data[, delay, binsize])	Compute Phase Transfer Entropy between each pair of channels in data.
jackknife_resample(data)	Performs jackknife resampling on numpy array.
csd_ndarray(x[, fs, nfft])	Compute the cross-spectral density between each column of x.
wPLI(x[, fs, nfft, fbands])	Weighted Phase Lag Index (wPLI).
plm(x[, fband, fs, rowvar])	Compute Phase Linearity Measurement.