Aberrant brain network topology in fronto‐limbic circuitry differentiates euthymic bipolar disorder from recurrent major depressive disorder
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 disorde...
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| Format: | Article |
| Language: | English |
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Wiley
2019-06-01
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| Series: | Brain and Behavior |
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| Online Access: | https://doi.org/10.1002/brb3.1257 |
| _version_ | 1818846273793425408 |
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| author | Jannis Dvorak Marietheres Hilke Marco Trettin Sofia Wenzler Marleen Hagen Naddy Ghirmai Maximilian Müller Dominik Kraft Andreas Reif Viola Oertel |
| author_facet | Jannis Dvorak Marietheres Hilke Marco Trettin Sofia Wenzler Marleen Hagen Naddy Ghirmai Maximilian Müller Dominik Kraft Andreas Reif Viola Oertel |
| author_sort | Jannis Dvorak |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-19T05:42:56Z |
| format | Article |
| id | doaj.art-2b8c572b00a74d8f9053ff0b0d446272 |
| institution | Directory Open Access Journal |
| issn | 2162-3279 |
| language | English |
| last_indexed | 2024-12-19T05:42:56Z |
| publishDate | 2019-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | Brain and Behavior |
| spelling | doaj.art-2b8c572b00a74d8f9053ff0b0d4462722022-12-21T20:33:57ZengWileyBrain and Behavior2162-32792019-06-0196n/an/a10.1002/brb3.1257Aberrant brain network topology in fronto‐limbic circuitry differentiates euthymic bipolar disorder from recurrent major depressive disorderJannis Dvorak0Marietheres Hilke1Marco Trettin2Sofia Wenzler3Marleen Hagen4Naddy Ghirmai5Maximilian Müller6Dominik Kraft7Andreas Reif8Viola Oertel9Department of Psychiatry, Psychosomatic Medicine and Psychotherapy Goethe University Frankfurt Frankfurt GermanyDepartment of Psychiatry, Psychosomatic Medicine and Psychotherapy Goethe University Frankfurt Frankfurt GermanyDepartment of Psychiatry, Psychosomatic Medicine and Psychotherapy Goethe University Frankfurt Frankfurt GermanyDepartment of Psychiatry, Psychosomatic Medicine and Psychotherapy Goethe University Frankfurt Frankfurt GermanyDepartment of Psychiatry, Psychosomatic Medicine and Psychotherapy Goethe University Frankfurt Frankfurt GermanyDepartment of Psychiatry, Psychosomatic Medicine and Psychotherapy Goethe University Frankfurt Frankfurt GermanyDepartment of Psychiatry, Psychosomatic Medicine and Psychotherapy Goethe University Frankfurt Frankfurt GermanyDepartment of Psychiatry, Psychosomatic Medicine and Psychotherapy Goethe University Frankfurt Frankfurt GermanyDepartment of Psychiatry, Psychosomatic Medicine and Psychotherapy Goethe University Frankfurt Frankfurt GermanyDepartment of Psychiatry, Psychosomatic Medicine and Psychotherapy Goethe University Frankfurt Frankfurt GermanyAbstract 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.https://doi.org/10.1002/brb3.1257bipolar disordereuthymicfMRIfunctional connectivitygraph theorymajor depressive disorder |
| spellingShingle | Jannis Dvorak Marietheres Hilke Marco Trettin Sofia Wenzler Marleen Hagen Naddy Ghirmai Maximilian Müller Dominik Kraft Andreas Reif Viola Oertel Aberrant brain network topology in fronto‐limbic circuitry differentiates euthymic bipolar disorder from recurrent major depressive disorder Brain and Behavior bipolar disorder euthymic fMRI functional connectivity graph theory major depressive disorder |
| title | Aberrant brain network topology in fronto‐limbic circuitry differentiates euthymic bipolar disorder from recurrent major depressive disorder |
| title_full | Aberrant brain network topology in fronto‐limbic circuitry differentiates euthymic bipolar disorder from recurrent major depressive disorder |
| title_fullStr | Aberrant brain network topology in fronto‐limbic circuitry differentiates euthymic bipolar disorder from recurrent major depressive disorder |
| title_full_unstemmed | Aberrant brain network topology in fronto‐limbic circuitry differentiates euthymic bipolar disorder from recurrent major depressive disorder |
| title_short | Aberrant brain network topology in fronto‐limbic circuitry differentiates euthymic bipolar disorder from recurrent major depressive disorder |
| title_sort | aberrant brain network topology in fronto limbic circuitry differentiates euthymic bipolar disorder from recurrent major depressive disorder |
| topic | bipolar disorder euthymic fMRI functional connectivity graph theory major depressive disorder |
| url | https://doi.org/10.1002/brb3.1257 |
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