Abnormal Dynamic Reconfiguration of Multilayer Temporal Networks in Patients with Bipolar Disorder
Background: Multilayer networks have been used to identify abnormal dynamic reconfiguration in bipolar disorder (BD). However, these studies ignore the differences in information interactions between adjacent layers when constructing multilayer networks, and the analysis of dynamic reconfiguration i...
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| Published in | Brain sciences Vol. 14; no. 9; p. 935 |
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| Main Authors | , , , , , , , |
| Format | Journal Article |
| Language | English |
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MDPI AG
01.09.2024
MDPI |
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| Online Access | Get full text |
| ISSN | 2076-3425 2076-3425 |
| DOI | 10.3390/brainsci14090935 |
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| Abstract | Background: Multilayer networks have been used to identify abnormal dynamic reconfiguration in bipolar disorder (BD). However, these studies ignore the differences in information interactions between adjacent layers when constructing multilayer networks, and the analysis of dynamic reconfiguration is not comprehensive enough; Methods: Resting-state functional magnetic resonance imaging data were collected from 46 BD patients and 54 normal controls. A multilayer temporal network was constructed for each subject, and inter-layer coupling of different nodes was considered using network similarity. The promiscuity, recruitment, and integration coefficients were calculated to quantify the different dynamic reconfigurations between the two groups; Results: The global inter-layer coupling, recruitment, and integration coefficients were significantly lower in BD patients. These results were further observed in the attention network and the limbic/paralimbic and subcortical network, reflecting reduced temporal stability, intra- and inter-subnetwork communication abilities in BD patients. The whole-brain promiscuity was increased in BD patients. The same results were observed in the somatosensory/motor and auditory network, reflecting more functional interactions; Conclusions: This study discovered abnormal dynamic interactions of BD from the perspective of dynamic reconfiguration, which can help to understand the pathological mechanisms of BD. |
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| AbstractList | Background: Multilayer networks have been used to identify abnormal dynamic reconfiguration in bipolar disorder (BD). However, these studies ignore the differences in information interactions between adjacent layers when constructing multilayer networks, and the analysis of dynamic reconfiguration is not comprehensive enough; Methods: Resting-state functional magnetic resonance imaging data were collected from 46 BD patients and 54 normal controls. A multilayer temporal network was constructed for each subject, and inter-layer coupling of different nodes was considered using network similarity. The promiscuity, recruitment, and integration coefficients were calculated to quantify the different dynamic reconfigurations between the two groups; Results: The global inter-layer coupling, recruitment, and integration coefficients were significantly lower in BD patients. These results were further observed in the attention network and the limbic/paralimbic and subcortical network, reflecting reduced temporal stability, intra- and inter-subnetwork communication abilities in BD patients. The whole-brain promiscuity was increased in BD patients. The same results were observed in the somatosensory/motor and auditory network, reflecting more functional interactions; Conclusions: This study discovered abnormal dynamic interactions of BD from the perspective of dynamic reconfiguration, which can help to understand the pathological mechanisms of BD. Multilayer networks have been used to identify abnormal dynamic reconfiguration in bipolar disorder (BD). However, these studies ignore the differences in information interactions between adjacent layers when constructing multilayer networks, and the analysis of dynamic reconfiguration is not comprehensive enough; Methods: Resting-state functional magnetic resonance imaging data were collected from 46 BD patients and 54 normal controls. A multilayer temporal network was constructed for each subject, and inter-layer coupling of different nodes was considered using network similarity. The promiscuity, recruitment, and integration coefficients were calculated to quantify the different dynamic reconfigurations between the two groups; Results: The global inter-layer coupling, recruitment, and integration coefficients were significantly lower in BD patients. These results were further observed in the attention network and the limbic/paralimbic and subcortical network, reflecting reduced temporal stability, intra- and inter-subnetwork communication abilities in BD patients. The whole-brain promiscuity was increased in BD patients. The same results were observed in the somatosensory/motor and auditory network, reflecting more functional interactions; Conclusions: This study discovered abnormal dynamic interactions of BD from the perspective of dynamic reconfiguration, which can help to understand the pathological mechanisms of BD.BACKGROUNDMultilayer networks have been used to identify abnormal dynamic reconfiguration in bipolar disorder (BD). However, these studies ignore the differences in information interactions between adjacent layers when constructing multilayer networks, and the analysis of dynamic reconfiguration is not comprehensive enough; Methods: Resting-state functional magnetic resonance imaging data were collected from 46 BD patients and 54 normal controls. A multilayer temporal network was constructed for each subject, and inter-layer coupling of different nodes was considered using network similarity. The promiscuity, recruitment, and integration coefficients were calculated to quantify the different dynamic reconfigurations between the two groups; Results: The global inter-layer coupling, recruitment, and integration coefficients were significantly lower in BD patients. These results were further observed in the attention network and the limbic/paralimbic and subcortical network, reflecting reduced temporal stability, intra- and inter-subnetwork communication abilities in BD patients. The whole-brain promiscuity was increased in BD patients. The same results were observed in the somatosensory/motor and auditory network, reflecting more functional interactions; Conclusions: This study discovered abnormal dynamic interactions of BD from the perspective of dynamic reconfiguration, which can help to understand the pathological mechanisms of BD. Multilayer networks have been used to identify abnormal dynamic reconfiguration in bipolar disorder (BD). However, these studies ignore the differences in information interactions between adjacent layers when constructing multilayer networks, and the analysis of dynamic reconfiguration is not comprehensive enough; Methods: Resting-state functional magnetic resonance imaging data were collected from 46 BD patients and 54 normal controls. A multilayer temporal network was constructed for each subject, and inter-layer coupling of different nodes was considered using network similarity. The promiscuity, recruitment, and integration coefficients were calculated to quantify the different dynamic reconfigurations between the two groups; Results: The global inter-layer coupling, recruitment, and integration coefficients were significantly lower in BD patients. These results were further observed in the attention network and the limbic/paralimbic and subcortical network, reflecting reduced temporal stability, intra- and inter-subnetwork communication abilities in BD patients. The whole-brain promiscuity was increased in BD patients. The same results were observed in the somatosensory/motor and auditory network, reflecting more functional interactions; Conclusions: This study discovered abnormal dynamic interactions of BD from the perspective of dynamic reconfiguration, which can help to understand the pathological mechanisms of BD. |
| Audience | Academic |
| Author | Hao, Jianchao Zhang, Yating Cui, Xiaohong Xiang, Jie Lai, Luyao Li, Dandan Wang, Xuedong Wang, Bin |
| AuthorAffiliation | College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan 030024, China; lailuyao0425@link.tyut.edu.cn (L.L.); zhangyating0747@link.tyut.edu.cn (Y.Z.); haojianchao0708@link.tyut.edu.cn (J.H.); wangxuedong0730@link.tyut.edu.cn (X.W.); cuixiaohong@tyut.edu.cn (X.C.); xiangjie@tyut.edu.cn (J.X.); wangbin01@tyut.edu.cn (B.W.) |
| AuthorAffiliation_xml | – name: College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan 030024, China; lailuyao0425@link.tyut.edu.cn (L.L.); zhangyating0747@link.tyut.edu.cn (Y.Z.); haojianchao0708@link.tyut.edu.cn (J.H.); wangxuedong0730@link.tyut.edu.cn (X.W.); cuixiaohong@tyut.edu.cn (X.C.); xiangjie@tyut.edu.cn (J.X.); wangbin01@tyut.edu.cn (B.W.) |
| Author_xml | – sequence: 1 givenname: Luyao surname: Lai fullname: Lai, Luyao – sequence: 2 givenname: Dandan surname: Li fullname: Li, Dandan – sequence: 3 givenname: Yating surname: Zhang fullname: Zhang, Yating – sequence: 4 givenname: Jianchao surname: Hao fullname: Hao, Jianchao – sequence: 5 givenname: Xuedong surname: Wang fullname: Wang, Xuedong – sequence: 6 givenname: Xiaohong surname: Cui fullname: Cui, Xiaohong – sequence: 7 givenname: Jie orcidid: 0000-0002-9758-6954 surname: Xiang fullname: Xiang, Jie – sequence: 8 givenname: Bin orcidid: 0000-0001-7771-5360 surname: Wang fullname: Wang, Bin |
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| Keywords | multilayer temporal network bipolar disorder dynamic reconfiguration phase coherence inter-layer coupling |
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| SubjectTerms | Bipolar disorder Brain Care and treatment dynamic reconfiguration Functional magnetic resonance imaging inter-layer coupling Magnetic resonance imaging Memory Mental disorders multilayer temporal network Network switching Neuroimaging phase coherence Recruitment Time series |
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| Title | Abnormal Dynamic Reconfiguration of Multilayer Temporal Networks in Patients with Bipolar Disorder |
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