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Solved problems for Granger causality in neuroscience: a response to Stokes and Purdon

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posted on 2023-06-09, 13:51 authored by Lionel BarnettLionel Barnett, Adam BarrettAdam Barrett, Anil SethAnil Seth
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.

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

NeuroImage

ISSN

1053-8119

Publisher

Elsevier

Volume

178

Page range

744-748

Department affiliated with

  • Informatics Publications

Research groups affiliated with

  • Sackler Centre for Consciousness Science Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2018-06-20

First Open Access (FOA) Date

2019-06-05

First Compliant Deposit (FCD) Date

2018-06-19

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