Causal Discovery of Feedback Networks with Functional Magnetic Resonance Imaging
Rubén Sánchez-Romero, Joseph Ramsey, Kun Zhang, Madelyn Glymour, Biwei Huang, Clark Glymour
The paper evaluates and introduces new statistical methods for inferring causal feedback networks from fMRI data, finding several methods achieve over 80% orientation precision and the new methods show strong recall.
Network Neuroscience · Jun 4, 2018Peer-reviewedNeuroscience