Aberrant brain network topology in fronto‐limbic circuitry differentiates euthymic bipolar disorder from recurrent major depressive disorder. Issue 6 (7th May 2019)

• Record Type: Journal Article
• Authors: Dvorak, Jannis; Hilke, Marietheres; Trettin, Marco; Wenzler, Sofia; Hagen, Marleen; Ghirmai, Naddy; Müller, Maximilian; Kraft, Dominik; Reif, Andreas; Oertel, Viola
• Is Part Of: Brain and behavior. Volume 9:Issue 6(2019)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-05-07
• Subjects: bipolar disorder -- euthymic -- fMRI -- functional connectivity -- graph theory -- major depressive disorder -- resting‐state; Neurology -- Periodicals; Neurosciences -- Periodicals; Psychology -- Periodicals; Psychiatry -- Periodicals; 616.8005
• DOI: 10.1002/brb3.1257
• Languages: English
• ISSNs: 2162-3279

Abstract

Abstract: Introduction: Previous studies have established graph theoretical analysis of functional network connectivity (FNC) as a potential tool to detect neurobiological underpinnings of psychiatric disorders. Despite the promising outcomes in studies that examined FNC aberrancies in bipolar disorder (BD) and major depressive disorder (MDD), there is still a lack of research comparing both mood disorders, especially in a nondepressed state. In this study, we used graph theoretical network analysis to compare brain network properties of euthymic BD, euthymic MDD and healthy controls (HC) to evaluate whether these groups showed distinct features in FNC. Methods: We collected resting‐state functional magnetic resonance imaging (fMRI) data from 20 BD patients, 15 patients with recurrent MDD as well as 30 age‐ and gender‐matched HC. Graph theoretical analyses were then applied to investigate functional brain networks on a global and regional network level. Results: Global network analysis revealed a significantly higher mean global clustering coefficient in BD compared to HC. We further detected frontal, temporal and subcortical nodes in emotion regulation areas such as the limbic system and associated regions exhibiting significant differences in network integration and segregation in BD compared to MDD patients and HC. Participants with MDD and HC only differed in frontal and insular network centrality. Conclusion: In conclusion, our findings indicate that a significantly altered brain network topology in the limbic system might be a trait marker specific to BD. Brain network analysis in these regions may therefore be used to differentiate euthymic BD not only from HC but also from patients with MDD. Abstract : Our study compared brain networks of euthymic individuals suffering from bipolar disorder, major depressive disorder as well as a matched group of healthy control participants. We detected network aberrations located mainly in frontal and limbic regions. This indicates persisting changes of functional brain network connectivity between these two types of affective disorders.