AI Finds Brain Networks Associated with Child Aggression

Artificial intelligence (AI) machine learning is rapidly being deployed to help accelerate neuroscience, psychology, and psychiatry research. A new study published in Molecular Psychiatry by researchers affiliated with Yale University shows how AI machine learning can identify patterns of neural connections in the brain associated with aggressive behavior in children. According to the Yale researchers, this study is a first of its kind. "Disruptions in frontoparietal networks supporting emotion regulation have been long implicated in maladaptive childhood aggression," wrote the researchers. "However, the association of connectivity between large-scale functional networks with aggressive behavior has not been tested."