Researchers analyzed brain scans from over 3,700 patients with major depressive disorder, bipolar disorder, and schizophrenia. They looked at regional homogeneity, which is a way to measure how similar neighboring brain regions are in their activity. The study compared these patients to a group of healthy individuals to see how brain patterns differ across different mental health conditions.
The study found a shared pattern across all three conditions, specifically an increase in activity in the right inferior frontal gyrus. However, each condition also had its own unique signatures. For example, depression and bipolar disorder showed changes mostly in the default mode network, while schizophrenia showed much broader changes across several different brain networks.
Because this was a meta-analysis of existing imaging data, the results are intended to help scientists understand the underlying biology of these conditions. While these findings help researchers identify potential targets for new treatments, they do not provide a new way to diagnose patients at this time. The results are a step toward more precise ways to understand how different mental health disorders affect the brain.