New method accurately tests cause and effect relationships in brain activity.
The article presents a new method for testing causal relationships between variables in a statistical model. The method uses a specific type of model called vector autoregression and takes into account measurement errors. The researchers found that their approach produces accurate results even with small amounts of data and performs well in different scenarios. They demonstrated the method's effectiveness using brain imaging data.
