Granger Causality is a method used in neuroscience to understand cause-and-effect relationships in brain activity. It looks at how one brain signal can predict another. The method has evolved over time to include different ways of analyzing data. However, it has limitations because it only uses part of the information available. Scientists suggest that Granger Causality needs to be improved continuously to be more accurate.