Estimating Brain Connectivity With Varying-Length Time Lags Using a Recurrent Neural Network.
Journal:
IEEE transactions on bio-medical engineering
Published Date:
Jun 1, 2018
Abstract
OBJECTIVE: Computer-aided estimation of brain connectivity aims to reveal information propagation in brain automatically, which has great potential in clinical applications, e.g., epilepsy foci diagnosis. Granger causality is an effective tool for directional connection analysis in multivariate time series. However, most existing methods based on Granger causality assume fixed time lags in information transmission, while the propagation delay between brain signals is usually changing constantly.