Construction of functional brain connectivity networks from fMRI data with driving and modulatory inputs: an extended conditional Granger causality approach.
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ABSTRACT:
SUBMITTER: Almpanis E
PROVIDER: S-EPMC7321769 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Publications
Construction of functional brain connectivity networks from fMRI data with driving and modulatory inputs: an extended conditional Granger causality approach.
Almpanis Evangelos E Siettos Constantinos C
AIMS neuroscience 20200410 2
We propose a numerical-based approach extending the conditional MVAR Granger causality (MVGC) analysis for the construction of directed connectivity networks in the presence of both exogenous/stimuli and modulatory inputs. The performance of the proposed scheme is validated using both synthetic stochastic data considering also the influence of haemodynamics latencies and a benchmark fMRI dataset related to the role of attention in the perception of visual motion. The particular fMRI dataset has ...[more]
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