Reliability of multivariate causality measures for neural data.

The simulations showed the sPDC combined with the LOOM to be the most reliable and robust choice for assessing directionality in neural data and showed the usefulness of the simulation results for practical applications in order to draw correct inferences and distinguish between conflicting evidence obtained with different causality measures.