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The boundaries of State-Space Granger Causality Analysis applied to BOLD simulated data: a comparative modelling and simulation approach

2020-04-10

Abstract excerpt

<h4>Background</h4> The analysis of connectivity has become a fundamental tool in human neuroscience. Granger Causality Mapping is a data-driven method that uses Granger Causality (GC) to assess the existence and direction of influence between signals, based on temporal precedence of information. More recently, a theory of Granger causality has been developed for state-space (SS-GC) processes, but little is known...

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Literature Corpus work
365a71c1-58cc-597e-a59a-c184f863772d
DOI
10.1101/2020.04.10.033258
Open publication

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