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DirectedTransferFunction

Namespace: CONNECTIVITYLIB  ·  Library: Connectivity Library

Python equivalent

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

#include <connectivity/directed_transfer_function.h>

class CONNECTIVITYLIB::DirectedTransferFunction

Directed Transfer Function estimator of Kaminski & Blinowska (1991).

Computes DTF_{ij}(f) = |H_{ij}(f)|^2 / sum_k |H_{ik}(f)|^2 from the transfer matrix H delivered by MvarModel and reduces it to a scalar edge weight by averaging over the frequency window defined on AbstractMetric. The resulting Network is directional and includes both direct and indirect causal pathways - use PartialDirectedCoherence for direct-only flow.

Directed Transfer Function estimator (Kaminski & Blinowska 1991); directional, includes indirect paths.

Inheritance​

Public Methods​

DirectedTransferFunction()​

Constructs a DirectedTransferFunction object.

Static Methods​

calculate(connectivitySettings)​

Calculates the Directed Transfer Function between all channel pairs.

Parameters:

Returns:

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

Authors of this file​