Frequency-Specific Resting Connectome in Bipolar Disorder: An MEG Study
BackgroundBipolar disorder (BD) is a serious psychiatric disorder that is associated with a high suicide rate, and for which no clinical biomarker has yet been identified. To address this issue, we investigated the use of magnetoencephalography (MEG) as a new prospective tool. MEG has been used to e...
| Main Authors: | , , , , , , , , , , , , |
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Frontiers Media S.A.
2020-06-01
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| Series: | Frontiers in Psychiatry |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fpsyt.2020.00597/full |
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| author | Masakazu Sunaga Yuichi Takei Yutaka Kato Yutaka Kato Minami Tagawa Minami Tagawa Tomohiro Suto Naruhito Hironaga Takefumi Ohki Yumiko Takahashi Kazuyuki Fujihara Noriko Sakurai Koichi Ujita Yoshito Tsushima Masato Fukuda |
| author_facet | Masakazu Sunaga Yuichi Takei Yutaka Kato Yutaka Kato Minami Tagawa Minami Tagawa Tomohiro Suto Naruhito Hironaga Takefumi Ohki Yumiko Takahashi Kazuyuki Fujihara Noriko Sakurai Koichi Ujita Yoshito Tsushima Masato Fukuda |
| author_sort | Masakazu Sunaga |
| collection | DOAJ |
| description | BackgroundBipolar disorder (BD) is a serious psychiatric disorder that is associated with a high suicide rate, and for which no clinical biomarker has yet been identified. To address this issue, we investigated the use of magnetoencephalography (MEG) as a new prospective tool. MEG has been used to evaluate frequency-specific connectivity between brain regions; however, no previous study has investigated the frequency-specific resting-state connectome in patients with BD. This resting-state MEG study explored the oscillatory representations of clinical symptoms of BD via graph analysis.MethodsIn this prospective case-control study, 17 patients with BD and 22 healthy controls (HCs) underwent resting-state MEG and evaluations for depressive and manic symptoms. After estimating the source current distribution, orthogonalized envelope correlations between multiple brain regions were evaluated for each frequency band. We separated regions-of-interest into seven left and right network modules, including the frontoparietal network (FPN), limbic network (LM), salience network (SAL), and default mode network (DMN), to compare the intra- and inter-community edges between the two groups.ResultsIn the BD group, we found significantly increased inter-community edges of the right LM–right DMN at the gamma band, and decreased inter-community edges of the right SAL–right FPN at the delta band and the left SAL–right SAL at the theta band. Intra-community edges in the left LM at the high beta band were significantly higher in the BD group than in the HC group. The number of connections in the left LM at the high beta band showed positive correlations with the subjective and objective depressive symptoms in the BD group.ConclusionWe introduced graph theory into resting-state MEG studies to investigate the functional connectivity in patients with BD. To the best of our knowledge, this is a novel approach that may be beneficial in the diagnosis of BD. This study describes the spontaneous oscillatory brain networks that compensate for the time-domain issues associated with functional magnetic resonance imaging. These findings suggest that the connectivity of the LM at the beta band may be a good objective biological biomarker of the depressive symptoms associated with BD. |
| first_indexed | 2024-12-22T03:32:58Z |
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| id | doaj.art-6a661a22082f483e8f27322c46c1d2e3 |
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| language | English |
| last_indexed | 2024-12-22T03:32:58Z |
| publishDate | 2020-06-01 |
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| series | Frontiers in Psychiatry |
| spelling | doaj.art-6a661a22082f483e8f27322c46c1d2e32022-12-21T18:40:28ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402020-06-011110.3389/fpsyt.2020.00597548617Frequency-Specific Resting Connectome in Bipolar Disorder: An MEG StudyMasakazu Sunaga0Yuichi Takei1Yutaka Kato2Yutaka Kato3Minami Tagawa4Minami Tagawa5Tomohiro Suto6Naruhito Hironaga7Takefumi Ohki8Yumiko Takahashi9Kazuyuki Fujihara10Noriko Sakurai11Koichi Ujita12Yoshito Tsushima13Masato Fukuda14Department of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Maebashi, JapanDepartment of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Maebashi, JapanDepartment of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Maebashi, JapanTsutsuji Mental Hospital, Tatebayashi, JapanDepartment of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Maebashi, JapanGunma Prefectural Psychiatric Medical Center, Isesaki, JapanGunma Prefectural Psychiatric Medical Center, Isesaki, JapanBrain Center, Faculty of Medicine, Kyushu University, Fukuoka, JapanDepartment of Neurosurgery, Osaka University Medical School, Suita, JapanDepartment of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Maebashi, JapanDepartment of Genetic and Behavioral Neuroscience, Gunma University Graduate School of Medicine, Maebashi, JapanDepartment of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Maebashi, JapanDepartment of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, Maebashi, JapanDepartment of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, Maebashi, JapanDepartment of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Maebashi, JapanBackgroundBipolar disorder (BD) is a serious psychiatric disorder that is associated with a high suicide rate, and for which no clinical biomarker has yet been identified. To address this issue, we investigated the use of magnetoencephalography (MEG) as a new prospective tool. MEG has been used to evaluate frequency-specific connectivity between brain regions; however, no previous study has investigated the frequency-specific resting-state connectome in patients with BD. This resting-state MEG study explored the oscillatory representations of clinical symptoms of BD via graph analysis.MethodsIn this prospective case-control study, 17 patients with BD and 22 healthy controls (HCs) underwent resting-state MEG and evaluations for depressive and manic symptoms. After estimating the source current distribution, orthogonalized envelope correlations between multiple brain regions were evaluated for each frequency band. We separated regions-of-interest into seven left and right network modules, including the frontoparietal network (FPN), limbic network (LM), salience network (SAL), and default mode network (DMN), to compare the intra- and inter-community edges between the two groups.ResultsIn the BD group, we found significantly increased inter-community edges of the right LM–right DMN at the gamma band, and decreased inter-community edges of the right SAL–right FPN at the delta band and the left SAL–right SAL at the theta band. Intra-community edges in the left LM at the high beta band were significantly higher in the BD group than in the HC group. The number of connections in the left LM at the high beta band showed positive correlations with the subjective and objective depressive symptoms in the BD group.ConclusionWe introduced graph theory into resting-state MEG studies to investigate the functional connectivity in patients with BD. To the best of our knowledge, this is a novel approach that may be beneficial in the diagnosis of BD. This study describes the spontaneous oscillatory brain networks that compensate for the time-domain issues associated with functional magnetic resonance imaging. These findings suggest that the connectivity of the LM at the beta band may be a good objective biological biomarker of the depressive symptoms associated with BD.https://www.frontiersin.org/article/10.3389/fpsyt.2020.00597/fullmagnetoencephalographybipolar disorderresting-state networkgraph theorysalience networklimbic network |
| spellingShingle | Masakazu Sunaga Yuichi Takei Yutaka Kato Yutaka Kato Minami Tagawa Minami Tagawa Tomohiro Suto Naruhito Hironaga Takefumi Ohki Yumiko Takahashi Kazuyuki Fujihara Noriko Sakurai Koichi Ujita Yoshito Tsushima Masato Fukuda Frequency-Specific Resting Connectome in Bipolar Disorder: An MEG Study Frontiers in Psychiatry magnetoencephalography bipolar disorder resting-state network graph theory salience network limbic network |
| title | Frequency-Specific Resting Connectome in Bipolar Disorder: An MEG Study |
| title_full | Frequency-Specific Resting Connectome in Bipolar Disorder: An MEG Study |
| title_fullStr | Frequency-Specific Resting Connectome in Bipolar Disorder: An MEG Study |
| title_full_unstemmed | Frequency-Specific Resting Connectome in Bipolar Disorder: An MEG Study |
| title_short | Frequency-Specific Resting Connectome in Bipolar Disorder: An MEG Study |
| title_sort | frequency specific resting connectome in bipolar disorder an meg study |
| topic | magnetoencephalography bipolar disorder resting-state network graph theory salience network limbic network |
| url | https://www.frontiersin.org/article/10.3389/fpsyt.2020.00597/full |
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