A study used functional magnetic resonance imaging to distinguish bipolar disorder (BD) from major depressive disorder (MDD) using amygdala-based functional connectivity (FC) scans of 92 patients with MDD and 48 patients with BD; over two years, a machine learning classifier was developed to differentiate BD from unipolar depression, achieving 81% accuracy.
Read More > https://pubmed.ncbi.nlm.nih.gov/38191549/
