ArticleNeuroImage2018
Solved problems for Granger causality in neuroscience: A response to Stokes and Purdon.
Article in NeuroImage, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Contribution of North Atlantic temperature variability to El Niño cyclicity as revealed by spectral causality estimates.Scientific reports · 2026Article
- On the virtues and limitations of Granger-causal brain connectivity estimate: Critical analysis using neural mass models.Network neuroscience (Cambridge, Mass.) · 2026Article
- Quantifying coupling and causality in dynamic bivariate systems: a unified framework for time-domain, spectral, and information-theoretic analysis.Frontiers in network physiology · 2025Article
- Antagonistic behavior of brain networks mediated by low-frequency oscillations: electrophysiological dynamics during internal-external attention switching.Communications biology · 2024Article
- Linking haploinsufficiency of the autism- and schizophrenia-associated gene Cyfip1 with striatal-limbic-cortical network dysfunction and cognitive inflexibility.Translational psychiatry · 2024Article
- Detection of quadratic phase coupling by cross-bicoherence and spectral Granger causality in bifrequencies interactions.Scientific reports · 2024Article
- Causal connectivity measures for pulse-output network reconstruction: Analysis and applications.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Causality methods to study the functional connectivity in brain networks: the basal ganglia - thalamus causal interactions.Brain imaging and behavior · 2024Article
- An information-theoretic framework for conditional causality analysis of brain networks.Network neuroscience (Cambridge, Mass.) · 2024Article
- Network Analysis of Depression Using Magnetoencephalogram Based on Polynomial Kernel Granger Causality.Entropy (Basel, Switzerland) · 2023Article
- Identifying good practices for detecting inter-regional linear functional connectivity from EEG.NeuroImage · 2023Article
- Connectivity Analysis in EEG Data: A Tutorial Review of the State of the Art and Emerging Trends.Bioengineering (Basel, Switzerland) · 2023Review
- Granger causality analysis for calcium transients in neuronal networks, challenges and improvements.eLife · 2023Article
- Aberrant beta-band brain connectivity predicts speech motor planning deficits in post-stroke aphasia.Cortex; a journal devoted to the study of the nervous system and behavior · 2022Article
- Wide-Field Calcium Imaging of Dynamic Cortical Networks during Locomotion.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Software Bug Detection Causes a Shift From Bottom-Up to Top-Down Effective Connectivity Involving the Insula Within the Error-Monitoring Network.Frontiers in human neuroscience · 2022Article
- The causal interaction in human basal ganglia.Scientific reports · 2021Article
- Exploring communication between the thalamus and cognitive control-related functional networks in the cerebral cortex.Cognitive, affective & behavioral neuroscience · 2021Article
- Article
- Lack of redundancy between electrophysiological measures of long-range neuronal communication.BMC biology · 2021Article
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3 authors.
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Abstract
Granger-Geweke causality (GGC) is a powerful and popular method for identifying directed functional ('causal') connectivity in neuroscience. In a recent paper, Stokes and Purdon (2017b) raise several concerns about its use. They make two primary claims: (1) that GGC estimates may be severely biased or of high variance, and (2) that GGC fails to reveal the full structural/causal mechanisms of a system. However, these claims rest, respectively, on an incomplete evaluation of the literature, and a misconception about what GGC can be said to measure. Here we explain how existing approaches resolve the first issue, and discuss the frequently-misunderstood distinction between functional and effective neural connectivity which underlies Stokes and Purdon's second claim.
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