BarnettBarrettSeth_SPrejoinder.pdf (160.92 kB)
Solved problems for Granger causality in neuroscience: a response to Stokes and Purdon
journal contribution
posted on 2023-06-09, 13:51 authored by Lionel BarnettLionel Barnett, Adam BarrettAdam Barrett, Anil SethAnil SethGranger-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.
Funding
Explaining Consciousness as Neural Dynamical Complexity; G1201; EPSRC-ENGINEERING & PHYSICAL SCIENCES RESEARCH COUNCIL; EP/L005131/1
History
Publication status
- Published
File Version
- Accepted version
Journal
NeuroImageISSN
1053-8119Publisher
ElsevierExternal DOI
Volume
178Page range
744-748Department affiliated with
- Informatics Publications
Research groups affiliated with
- Sackler Centre for Consciousness Science Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2018-06-20First Open Access (FOA) Date
2019-06-05First Compliant Deposit (FCD) Date
2018-06-19Usage metrics
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