Distinguishing between depression in bipolar disorder and unipolar depression using magnetic resonance imaging: a systematic review. (30th January 2022)

• Record Type: Journal Article
• Authors: Siegel‐Ramsay, Jennifer E.; Bertocci, Michele A.; Wu, Bryan; Phillips, Mary L.; Strakowski, Stephen M.; Almeida, Jorge R. C.
• Is Part Of: Bipolar disorders. Volume 24:Number 5(2022)
• Page Start: 474
• Page End: 498
• Publication Date: 2022-01-30
• Subjects: bipolar disorder -- depression -- magnetic resonance imaging -- major depressive disorder -- neuroimaging; Manic-depressive illness -- Periodicals; Depression, Mental -- Periodicals; 616.895
• DOI: 10.1111/bdi.13176
• Languages: English
• ISSNs: 1398-5647

Abstract

Abstract: Objectives: Magnetic resonance imaging (MRI) studies comparing bipolar and unipolar depression characterize pathophysiological differences between these conditions. However, it is difficult to interpret the current literature due to differences in MRI modalities, analysis methods, and study designs. Methods: We conducted a systematic review of publications using MRI to compare individuals with bipolar and unipolar depression. We grouped studies according to MRI modality and task design. Within the discussion, we critically evaluated and summarized the functional MRI research and then further complemented these findings by reviewing the structural MRI literature. Results: We identified 88 MRI publications comparing participants with bipolar depression and unipolar depressive disorder. Compared to individuals with unipolar depression, participants with bipolar disorder exhibited heightened function, increased within network connectivity, and reduced grey matter volume in salience and central executive network brain regions. Group differences in default mode network function were less consistent but more closely associated with depressive symptoms in participants with unipolar depression but distractibility in bipolar depression. Conclusions: When comparing mood disorder groups, the neuroimaging evidence suggests that individuals with bipolar disorder are more influenced by emotional and sensory processing when responding to their environment. In contrast, depressive symptoms and neurofunctional response to emotional stimuli were more closely associated with reduced central executive function and less adaptive cognitive control of emotionally oriented brain regions in unipolar depression. Researchers now need to replicate and refine network‐level trends in these heterogeneous mood disorders and further characterize MRI markers associated with early disease onset, progression, and recovery.