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Analysing connectivity with Granger causality and dynamic causal modelling
journal contribution
posted on 2023-06-08, 22:10 authored by Karl Friston, Rosalyn Moran, Anil SethAnil SethThis review considers state-of-the-art analyses of functional integration in neuronal macrocircuits. We focus on detecting and estimating directed connectivity in neuronal networks using Granger causality (GC) and dynamic causal modelling (DCM). These approaches are considered in the context of functional segregation and integration and — within functional integration — the distinction between functional and effective connectivity. We review recent developments that have enjoyed a rapid uptake in the discovery and quantification of functional brain architectures. GC and DCM have distinct and complementary ambitions that are usefully considered in relation to the detection of functional connectivity and the identification of models of effective connectivity. We highlight the basic ideas upon which they are grounded, provide a comparative evaluation and point to some outstanding issues.
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Publication status
- Published
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- Published version
Journal
Current Opinion in NeurobiologyISSN
0959-4388Publisher
ElsevierExternal DOI
Issue
2Volume
23Page range
172-178Department affiliated with
- Informatics Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2015-08-20First Open Access (FOA) Date
2015-08-20First Compliant Deposit (FCD) Date
2015-08-20Usage metrics
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