Solved problems for Granger causality in neuroscience: A response to Stokes and Purdon.
Neuroimage
; 178: 744-748, 2018 09.
Article
in En
| MEDLINE
| ID: mdl-29883736
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.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Neurosciences
Type of study:
Etiology_studies
Language:
En
Journal:
Neuroimage
Journal subject:
DIAGNOSTICO POR IMAGEM
Year:
2018
Document type:
Article
Affiliation country:
United kingdom