Dr. Dustin Scheinost, Associate Professor in the Departments of Radiology and Biomedical Imaging at Yale School of Medicine, studies how brain imaging and artificial intelligence can help scientists better understand psychiatric disorders.

What if brain scans could help explain the symptoms of a psychotic episode as they happen? And what if artificial intelligence could identify patterns in brain activity to help predict them?

In this episode, Dr. Scheinost discusses a new frontier in mental health research that combines functional MRI and machine learning to study psychosis. By examining the brain not just through behavior but through networks, circuits, and connectivity, researchers hope to better understand how psychiatric illness unfolds and how future tools might help clinicians detect and treat these conditions earlier.