Mapping directed influence over the brain using Granger causality and fMRI

By Alard Roebroeck, Elia Formisano, Rainer Goebel. NeuroImage, 2005

1,085 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/9ca58085d8453da0d69284703e9bb216313b6580

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In Cognitive Neuroscience

Citations in the corpus

Learning Graphs From Data: A Signal Representation Perspective (2018, neutral): “Similar ideas can also be found in the Granger causality or vector autoregressive models (VARMs) [58], [59].”
Real-time fMRI neurofeedback: Progress and challenges (2013, methodology): “A uthor M anuscript A uthor M anuscript A uthor M anuscript A uthor M anuscript effective connectivity measures used off-line (e.g. Biswal et al., 1995; Roebroeck et al., 2005).”
Analysis of sampling artifacts on the Granger causality analysis for topology extraction of neuronal dynamics (2014, methodology): “In its application to the analysis of fMRI data, one is confronted with the unavoidable issue of low-pass ﬁltering and down-sampling in processing the BOLD signal (Roebroeck et al., 2005; Danks and Plis, 2013).”
Advancing functional connectivity research from association to causation (2019, background): “…connectivity (although attempts have been made to address this 1,2 ), with emphasis sometimes placed on the target theoretical property of whether a connection is direct vs. indirect (e.g., via a third brain region) 7,26,27 or whether a connection is directed vs. undirected/bidirectional 2,7,28 .”
Effective connectivity: Influence, causality and biophysical modeling (2011, positive): “(Freiwald et al., 1999) x r ; k ð WN 3 Linear bivariate GCM mapping (Roebroeck et al., 2005) x r ; k ð Þ WN as formal derivative of Brownian motion 7 Hierarchical dynamic causal model (Friston, 2008a,b) ˙ x General nonlinear (HDM) Analytic, non-Markovian 8 Neural ﬁ eld (Jirsa et al., 2002)”
Dynamic causal modelling: A critical review of the biophysical and statistical foundations (2011, background): “…make DCMs fairly complex, at least compared to conventional regression-based models of effective connectivity, such as Structural Equation Modelling (SEM; McIntosh et al. 1994; Büchel & Friston 1997; Horwitz et al. 1999) or autoregressive models (Harrison et al. 2003; Roebroeck et al. 2005).”
Functional connectivity of default mode network components: correlation, anticorrelation, and causality (2008, methodology): “To understand the ‘‘effective connectivity’’ [Friston, 1994; Goebel et al., 2003; Roebroeck et al., 2005] between each network and its anticorrelated counterpart, we also computed Granger causality probabilities [Granger, 1969] as an indirect measure of the directionality of causal influence…”
Assessing functional connectivity in the human brain by fMRI. (2007, methodology): “This is the Granger causality mapping approach of Goebel, Roebroeck and collaborators [3;39]; the Granger causality measure is derived from the estimated Rogers et al.”
Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity (2008, background): “Analysis of causal inﬂuences or eﬀects has become an important topic in machine learning (Pearl, 2000; Spirtes et al., 1993), and has numerous applications in, for example, neuroinformatics (Roebroeck et al., 2005; Kim et al., 2007) and bioinformatics (Opgen-Rhein & Strimmer, 2007).”
A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks (2008, methodology): “On the other hand, GCA provides a more principled way to assess top-down control across task paradigms, since it involves contributions from both the stimulus locked BOLD signal as well as stochastic components that are not necessarily stimulus locked (11).”
Frequency decomposition of conditional Granger causality and application to multivariate neural field potential data. (2006, methodology): “We realize that Eq.( 23 ) is actually a summation of multiple ARMA processes, and that the summation of several ARMA processes is still an ARMA process (Granger and Morris, 1976; Harvey, 1993).”