Summary: New research highlights how the brain’s reward-learning system can guide personalized treatments for depression. By studying two brain signals, expected value and prediction error, researchers identified markers that predict recovery potential and tailored responses to rewards and setbacks.

This approach goes beyond symptom management, targeting the brain processes driving specific depression symptoms like anhedonia. The findings pave the way for brain-based therapies that align with each individual’s unique learning patterns, offering more precise and effective mental health care.