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PartialDirectedCoherence

Namespace: CONNECTIVITYLIB  ·  Library: Connectivity Library

Python equivalent

mne_connectivity.spectral_connectivity_epochs (method='pdc') in MNE-Python.

#include <connectivity/partial_directed_coherence.h>

class CONNECTIVITYLIB::PartialDirectedCoherence

Partial Directed Coherence estimator of Baccala & Sameshima (2001).

Computes PDC_{ij}(f) = |A_{ij}(f)| / sqrt( sum_k |A_{kj}(f)|^2 ) from the MVAR coefficients delivered by MvarModel, where A(f) is the frequency-domain inverse of the transfer matrix. Unlike DirectedTransferFunction this estimator counts only direct causal paths - relayed interactions j -> k -> i contribute 0 - so PDC and DTF together separate direct from indirect flow.

Partial Directed Coherence estimator (Baccala & Sameshima 2001); directional, direct paths only.

Inheritance​

Public Methods​

PartialDirectedCoherence()​

Constructs a PartialDirectedCoherence object.

Static Methods​

calculate(connectivitySettings)​

Calculates Partial Directed Coherence between all channel pairs.

Parameters:

Returns:

  • Network — The connectivity information in form of a network structure.

Authors of this file​