Hidden Brain Wiring Predicts Behavior Across Multiple Networks

A Yale-led study published in Nature Human Behavior shows that the 90% of brain connections usually labeled as noise can predict behavior as accurately as the top 10%; predictive information is widely distributed across multiple, non-overlapping networks, revealing brain redundancy and functional flexibility. This challenges the idea of a single correct network, with implications for psychiatry (e.g., depression) and for biomarkers and treatments, which should target overlooked circuits to improve precision medicine.