The article introduces a new method called local Granger causality to study how different factors influence each other over time. This method can reveal changing relationships between variables in non-stationary processes, like brain signals or financial data. By analyzing the frequency domain and using statistical techniques, the researchers showed that the method accurately identifies causal connections and structural changes. This approach offers a powerful tool for understanding complex systems and their interactions.