Dynamics on networks: assessing functional connectivity with Granger causality
We consider the analysis of brain networks based on multi-electrode neural recordings. Granger causality and its spectral decomposition are used to assess the directions of dynamic interactions. The effectiveness of the method is illustrated by applying it to simulated data. Then multichannel local field potential recordings from monkeys performing a visuomotor pattern recognition task are analyzed to gain deeper understanding of the organization and functionality of large-scale oscillatory cortical networks.
granger causality multiple time series multivariate autoregressive model (mvar) coherence local field potentials (lfps)