Phase lag index: Assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources

By Cornelis J. Stam, Guido Nolte, Andreas Daffertshofer. Human Brain Mapping, 2007

1,999 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a2b102708ab612867ad51ea56fa1920ca542fd22

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In Cognitive Neuroscience

Citations in the corpus

EEG and MEG: relevance to neuroscience. (2013, neutral): “A variety of methods of signal analysis to estimate functional connectivity exist (Lachaux et al., 1999; Stam et al., 2007; Wendling et al., 2009; Vinck et al., 2011; Haufe et al., 2013), among which the phase-locking value (PLV) is currently the most widely used.”
The trees and the forest: Characterization of complex brain networks with minimum spanning trees. (2014, positive): “Functional connectivity, assessed with the phase lag index (Stam et al., 2007), increased in both imagined hand movement conditions compared to the rest condition, and regional analysis showed that this effect was different for both hemispheres depending on the side of imagined hand movement.”
A Note on the Phase Locking Value and its Properties (2013, methodology): “In practice PLV and PLI are typically estimated by averaging over trials and/or time (Aviyente et al., 2010; Lachaux et al., 1999, 2000; Mormann et al., 2000; Stam et al., 2007).”
Gamma-band synchronization in the neocortex: novel analysis methods and their application to sensory and motivational systems (2013, methodology): “This poses a problem especially for techniques such as the scalp EEG (electroencephalogram), with currents from single sources spreading instantaneously to multiple sensors (‘volume conduction’) (Nolte et al., 2004; Stam et al., 2007; Vinck et al., 2011), distorting the measurement of G-causal flux ”
Frequency-dependent functional connectivity within resting-state networks: An atlas-based MEG beamformer solution (2012, positive): “In contrast, the PLI is defined as (Stam et al., 2007): PLI ¼ 〈sign sin Δφ t k ð Þ ð Þ ½ 〉 ; ð6Þ where the phase difference is defined in the interval [−π, π] and b> denotes the mean value.”
A comparative study of synchrony measures for the early diagnosis of Alzheimer's disease based on EEG (2010, positive): “• A large number of studies have reported a decrease in magnitude and phase coherence in the EEG of MCI and AD patients (Stevens et al., 2001; Brassen et al., 2004; Locatelli et al., 1998; Wada et al., 1998; Hogan et al., 2003; Anghinah et al., 2000; Besthorn et al.1994; Hidasi et al., 2007; Jelles ”
Instantaneous and lagged measurements of linear and nonlinear dependence between groups of multivariate time series: frequency decomposition (2007, background): “(see e.g. Rosenblum et al 1996). The basic idea behind this definition has been adapted and used to great advantage in the neurosciences (Tass et al 1998, Quian-Quiroga et al 2002, Pereda et al 2005, Stam et al 2007), as in for example, the analysis of pairs of time series of measured scalp electric”
Graph theoretical analysis of magnetoencephalographic functional connectivity in Alzheimer's disease. (2009, neutral): “However, Ĉw was very close to one in both groups, and much lower than reported in other studies, where Ĉw was usually around two (Stam, 2004; Salvador et al., 2005; Achard et al., 2006; Bassett et al., 2006; Stam et al., 2007a).”
HERMES: Towards an Integrated Toolbox to Characterize Functional and Effective Brain Connectivity (2013, background): “Several indexes have been derived (Nolte et al. 2004, 2008; Stam et al. 2007; Vinck et al. 2011), which make use of this phase relationship to estimate the existence of true FC be-tween x(t) and y(t).”
Spectrally resolved fast transient brain states in electrophysiological data (2016, positive): “To get around this problem we can choose a connectivity measure that is insensitive to zero-lag interactions, e.g., the imaginary part of coherency (Nolte et al., 2004) or phase-lag index (Stam et al., 2007).”
Diagnosis of Alzheimer's disease from EEG signals: where are we standing? (2010, methodology): “Decreased phase synchrony has been reported in EEG of patients with mild AD (resting condition), using three different measures: phase coherence, phase lag index (PLI), and imaginary component of coherence [107].”
Cognitive Effort Drives Workspace Configuration of Human Brain Functional Networks (2011, methodology): “These experimental results provide support for workspace theory in terms of complex network metrics and directly demonstrate how cognitive effort breaks modularity to make human brain functional networks transiently adopt a more efficient but less economical configuration.”
FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data (2010, background): “…details related to the functionality of the di ﬀ erent modules, without the aim of being exhaustive. imaginary part of coherency [11], phase slope index [12], partial directed coherence [13], directed transfer function [14], and Geweke’s extension of Granger causality to the frequency domain [15].”