ArticleProceedings of the National Academy of Sciences of the United States of America2017
A study of problems encountered in Granger causality analysis from a neuroscience perspective.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 121 papers.
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121 citing papers in PubMed.
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- On the virtues and limitations of Granger-causal brain connectivity estimate: Critical analysis using neural mass models.Network neuroscience (Cambridge, Mass.) · 2026Article
- Prefrontal Default Mode Network Interactions with Posterior Hippocampus during Exploration.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Short-Term Modulation of Epileptic Network with Low-Frequency Thalamic Stimulation.medRxiv : the preprint server for health sciences · 2025Article
- Spatiotemporal Dynamics of Language Information Representation within the Left Inferior Parietal Lobule Network: An Intracranial SEEG Study.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Review
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- Inferring directed spectral information flow between mixed-frequency time series.Research square · 2025Article
- Oscillatory components of bidirectional cardio-respiratory coupling in depression and suicidal ideation: insights from swarm decomposition and entropy analysis.Frontiers in network physiology · 2025Article
- Quantifying coupling and causality in dynamic bivariate systems: a unified framework for time-domain, spectral, and information-theoretic analysis.Frontiers in network physiology · 2025Article
- Multiresolution granger causality testing with variational mode decomposition: a python software.Journal of applied statistics · 2025Article
- Robust Model-Free Identification of the Causal Networks Underlying Complex Nonlinear Systems.Entropy (Basel, Switzerland) · 2024Article
- Asymmetry of Directed Brain Connectivity at Birth in Low-Risk Full-Term Newborns.Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society · 2024Article
- Spatiotemporal Neural Network for Sublexical Information Processing: An Intracranial SEEG Study.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Intracranial EEG-Based Directed Functional Connectivity in Alpha to Gamma Frequency Range Reflects Local Circuits of the Human Mesiotemporal Network.Brain topography · 2024Article
- Causal Hierarchy in the Financial Market Network-Uncovered by the Helmholtz-Hodge-Kodaira Decomposition.Entropy (Basel, Switzerland) · 2024Article
- Antagonistic behavior of brain networks mediated by low-frequency oscillations: electrophysiological dynamics during internal-external attention switching.Communications biology · 2024Article
61 more citing papers are in PubMed but not listed here.
Corrections and comments
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2 authors.
Funding
Abstract
Granger causality methods were developed to analyze the flow of information between time series. These methods have become more widely applied in neuroscience. Frequency-domain causality measures, such as those of Geweke, as well as multivariate methods, have particular appeal in neuroscience due to the prevalence of oscillatory phenomena and highly multivariate experimental recordings. Despite its widespread application in many fields, there are ongoing concerns regarding the applicability of Granger causality methods in neuroscience. When are these methods appropriate? How reliably do they recover the system structure underlying the observed data? What do frequency-domain causality measures tell us about the functional properties of oscillatory neural systems? In this paper, we analyze fundamental properties of Granger-Geweke (GG) causality, both computational and conceptual. Specifically, we show that (
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