Short-window spectral analysis of cortical event-related potentials by adaptive multivariate autoregressive modeling: data preprocessing, model validation, and variability assessment

By Mingzhou Ding, Steven L. Bressler, Weiming Yang, Hualou Liang. Biological cybernetics, 2000

628 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Cognitive Neuroscience, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/8d32d3537b9992e748996928d11c072abf81eb26

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Cognitive Neuroscience

In Control and Systems Engineering

Citations in the corpus

A Note on the Phase Locking Value and its Properties (2013, methodology): “For this study we used the LFP data described by Bressler et al. (1993), which has been widely studied over the past two decades (Bressler, 1995; Bressler et al., 1999; Brovelli et al., 2004; Ding et al., 2000).”
Determination of EEG activity propagation: pair-wise versus multichannel estimate (2004, methodology): “The recently introduced SDTF [ 16 ] offers an opportunity to trace changes”
A MATLAB toolbox for Granger causal connectivity analysis. (2010, neutral): “, event-related ata), the method of Ding et al. (2000) is used.”
Analyzing information flow in brain networks with nonparametric Granger causality (2008, background): “) In this case, the parametric methods hold a distinct advantage when multiple realizations (trials) of the same process are available (Ding et al., 2000).”
EEGLAB, SIFT, NFT, BCILAB, and ERICA: New Tools for Advanced EEG Processing (2011, methodology): “To study transient causal dynamics of nonstationary phenomena, adaptive MVAR (AMVAR) approaches may be applied using locally-stationary sliding windows [20], Kalman ﬁltering, or spectral matrix factorization.”
Analysing connectivity with Granger causality and dynamic causal modelling (2013, methodology): “Adaptive multivariate autoregressive (AMVAR) modelling applied to multichannel event-related potentials, showing rapidly changing cortical dynamics during visuomotor integration [24] GC validated on electrophysiological data from rats given deconvolution of hemodynamic responses [30] Granger Causali”
Frequency decomposition of conditional Granger causality and application to multivariate neural field potential data. (2006, methodology): “(10), we ﬁt multivariate autoregressive (MVAR) models (Ding et al., 2000) to the generated data set for each pairwise combination of variables x , y , and z , and calculated the frequency-domain Granger causality for each pair in each direction, as shown in Fig.”
The MVGC multivariate Granger causality toolbox: a new approach to Granger-causal inference. (2014, background): “An advantage of windowing— assuming there is su ﬃ cient data—is that time-varying G-causality can be analysed (Ding et al., 2000).”
Granger Causality: Basic Theory and Application to Neuroscience (2006, methodology): “Here we discuss how to estimate autoregressive models from empirical time series data, with emphasis on the incorporation of multiple time series segments into the estimation procedure [7].”
EEG microstates as a tool for studying the temporal dynamics of whole‐brain neuronal networks: A review (2017, positive): “(Ding et al., 2000) discriminated three different coordination states, each”
Granger Causality Analysis in Neuroscience and Neuroimaging (2015, background): “The data can also be windowed into shorter, possibly more stationary, epochs: given sufficient data, this method can shed light on time-varying G-causality (Ding et al., 2000).”
HERMES: Towards an Integrated Toolbox to Characterize Functional and Effective Brain Connectivity (2013, background): “An alternative solution has been offered by (Ding et al. 2000), where the collection of neural signals from successive trials is treated as an ensemble of realizations of a non-stationary stochastic process with locally stationary segments.”