A new study shows that brain connectivity patterns, especially in the dorsal anterior cingulate cortex, can help predict how patients with major depressive disorder (MDD) will respond to antidepressants. By combining brain imaging with clinical data, researchers developed machine learning models that accurately predicted treatment outcomes across two large trials.