This chapter discusses findings from recent major neuroimaging studies of bipolar disorder to provide a better understanding of larger-scale neural circuitry, neurotransmitter concentration, bioenergetic process, and protein marker abnormalities in the disorder. The chapter also reviews findings from newer areas of neuroimaging research, including studies comparing bipolar disorder with other major psychiatric disorders, multimodal neuroimaging studies, studies of youth with, and youth at risk for, the disorder, and studies using machine-learning pattern recognition techniques. These studies are paving the way for identification of robust and objective neural biomarkers of bipolar disorder that can ultimately have clinical utility.
Machine learning analysis using 77,044 genomic and transcriptomic profiles to accurately predict tumor type
