Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance

By Maciej Kaminski, Mingzhou Ding, Wilson A. Truccolo, Steven L. Bressler. Biological cybernetics, 2001

1,028 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/d6e659405ba3f1eb1d6245d92b8b60fa330b5a02

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Citations in the corpus

Renewable energy policies and contradictions in causality: A case of Next 11 countries (2018, methodology): “It is true that this technique has not been used much in the field of economics and it is mostly used in the field of medicine (Kamiński et al. 2001; Lin et al., 2009; Solo, 2016), there is a huge scope for researchers to implement this mechanism in their studies, where low frequency data will be us”
Investigating directed cortical interactions in time-resolved fMRI data using vector autoregressive modeling and Granger causality mapping. (2003, neutral): “Several variants of these techniques have recently been applied to neurophysiological data to gain insight in the direction of influences between neural systems [12] [13] [14].”
Mapping directed influence over the brain using Granger causality and fMRI (2005, positive): “More recently, Granger causality and related frequency domain measures have also been applied to human EEG data (Hesse et al., 2003; Kaminski et al., 2001).”
Determination of EEG activity propagation: pair-wise versus multichannel estimate (2004, methodology): “The Granger causality measure is equivalent to the nonnormalized version of DTF [ 15 ].”
Analyzing information flow in brain networks with nonparametric Granger causality (2008, background): “Although there are other spectral measures for inferring causal influences, including directed transfer function (DTF) (Kamiski and Blinowska, 1991; Kaminski et al., 2001), partial directed coherence (PDC) (Bacala and Sameshima, 2001), and directed DTF (Korzeniewska et al., 2003), Geweke's measure…”
CZECH TECHNICAL UNIVERSITY IN PRAGUE (2005, background): “The epoch surrogates (Kamiński et al., 2001) and FFT surrogates (Theiler et al.”
A study of problems encountered in Granger causality analysis from a neuroscience perspective (2017, background): “The dDTF claims to characterize direct influences by normalizing the DTF by the partial coherence.”
Nonlinear multivariate analysis of neurophysiological signals. (2005, background): “For example, the confidence limit for testing for nonzero PDC at fixed frequencies is not analytically available (see (Kaminski et al., 1997; Kaminski et al., 2001) for some suggestive limit by simulations).”
Estimation of the cortical functional connectivity with the multimodal integration of high-resolution EEG and fMRI data by directed transfer function (2005, methodology): “These values are comparable to the 5 or 6 orders found in EEGmodels during sleep or isometric muscular contractions (Kaminski et al., 2001; Mima et al., 2001).”
Identifying true brain interaction from EEG data using the imaginary part of coherency. (2004, methodology): “DTF can be regarded as a special version of the more general concept of Granger causality (Chavez et al., 2003; Hesse et al., 2003; Kaminski et al., 2001).”
A critical assessment of connectivity measures for EEG data: A simulation study (2013, background): “A common choice for surrogates is the original data, in which the temporal order has been randomly permuted separately for each time series (e.g., Babiloni et al., 2005; Kamiński et al., 2001).”