Barnett, Lionel, Barrett, Adam and Seth, Anil (2018) Solved problems for Granger causality in neuroscience: a response to Stokes and Purdon. NeuroImage. ISSN 1053-8119
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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.
Item Type: | Article |
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Schools and Departments: | School of Engineering and Informatics > Informatics |
Research Centres and Groups: | Sackler Centre for Consciousness Science |
Subjects: | R Medicine > RC Internal medicine > RC0321 Neurosciences. Biological psychiatry. Neuropsychiatry |
Depositing User: | Marianne Cole |
Date Deposited: | 20 Jun 2018 14:01 |
Last Modified: | 13 Jul 2018 13:09 |
URI: | http://srodev.sussex.ac.uk/id/eprint/76641 |
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📧 Request an updateProject Name | Sussex Project Number | Funder | Funder Ref |
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Explaining Consciousness as Neural Dynamical Complexity | G1201 | EPSRC-ENGINEERING & PHYSICAL SCIENCES RESEARCH COUNCIL | EP/L005131/1 |