Granger causality (GC) analysis is a valuable tool to detect directed dynamical connectivity, and it is being increasingly used. Unfortunately, this approach ...

Recovering directed pathways of information transfer between brain areas is an important issue in neuroscience and helps to shed light on the brain function ...

Jul 8, 2013 · We show that considering Granger causality in the framework of information theory we can limit the conditioning to a limited number of variables ...

Construction of functional brain connectivity networks from fMRI data with driving and modulatory inputs: an extended conditional Granger causality approach.

We show that considering Granger causality in the framework of information theory we can limit the conditioning to a limited number of variables chosen as the ...

Recovering directed pathways of information transfer between brain areas is an important issue in neuroscience and helps to shed light on brain function in.

Jul 8, 2013 · We show that considering Granger causality in the framework of information theory we can limit the conditioning to a lim- ited number of ...

Recovering directed networks in neuroimaging datasets using partially conditioned Granger causality. Access & Citations. 1495: Article Accesses. 0: Web of ...

Recovering directed networks in neuroimaging datasets using partially conditioned Granger causality. Authors. Wu, G.; Liao, W.; Stramaglia, S.; Marinazzo, D ...

Apr 1, 2013 · Wu, Guorong, et al. “Recovering Directed Networks in Neuroimaging Datasets Using Partially Conditioned Granger Causality.” BRAIN CONNECTIVITY, ...