DebiasedSquaredWeightedPhaseLagIndex
Namespace: CONNECTIVITYLIB · Library: Connectivity Library
#include <connectivity/debiasedsquaredweightedphaselagindex.h>
class CONNECTIVITYLIB::DebiasedSquaredWeightedPhaseLagIndex
Computes the debiased squared Weighted Phase Lag Index of Vinck et al.
(NeuroImage 2011) for every channel pair.
The estimator subtracts the analytically known diagonal variance from both numerator and denominator of WeightedPhaseLagIndex, producing an estimator whose expectation equals wPLI^2 even for very small trial counts. It is the preferred PLI-family metric when the number of trials is low and is the volume-conduction-robust counterpart of magnitude-squared coherence.
Debiased squared Weighted Phase Lag Index (Vinck et al. 2011); low-bias volume-conduction-robust estimator.
Inheritance
Public Methods
DebiasedSquaredWeightedPhaseLagIndex()
Constructs a DebiasedSquaredWeightedPhaseLagIndex object.
Static Methods
calculate(connectivitySettings)
Calculates the debiased squared weighted phase lag index between the rows of the data matrix.
Parameters:
- connectivitySettings : ConnectivitySettings & The input data and parameters.
Returns:
- Network — The connectivity information in form of a network structure.
Authors of this file
- Daniel Strohmeier <daniel.strohmeier@gmail.com>
- Lorenz Esch <lorenz.esch@tu-ilmenau.de>
- Juan GPC <jgarciaprieto@mgh.harvard.edu>
- Gabriel Motta <gabrielbenmotta@gmail.com>
- Christoph Dinh <christoph.dinh@mne-cpp.org>