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双相情感障碍患者多层时间网络的异常动态重构

Abnormal Dynamic Reconfiguration of Multilayer Temporal Networks in Patients with Bipolar Disorder.

作者信息

Lai Luyao, Li Dandan, Zhang Yating, Hao Jianchao, Wang Xuedong, Cui Xiaohong, Xiang Jie, Wang Bin

机构信息

College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan 030024, China.

出版信息

Brain Sci. 2024 Sep 19;14(9):935. doi: 10.3390/brainsci14090935.

DOI:10.3390/brainsci14090935
PMID:39335429
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11430687/
Abstract

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.

摘要

多层网络已被用于识别双相情感障碍(BD)中的异常动态重构。然而,这些研究在构建多层网络时忽略了相邻层之间信息交互的差异,并且对动态重构的分析不够全面;方法:收集了46例BD患者和54例正常对照的静息态功能磁共振成像数据。为每个受试者构建了一个多层时间网络,并使用网络相似性考虑不同节点的层间耦合。计算混杂系数、募集系数和整合系数,以量化两组之间不同的动态重构;结果:BD患者的全局层间耦合、募集和整合系数显著降低。在注意力网络以及边缘/边缘旁和皮质下网络中进一步观察到这些结果,反映出BD患者的时间稳定性、子网络内和子网络间通信能力降低。BD患者的全脑混杂性增加。在体感/运动和听觉网络中观察到相同的结果,反映出更多的功能交互;结论:本研究从动态重构的角度发现了BD的异常动态交互,这有助于理解BD的病理机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45e8/11430687/fe3c4871acd9/brainsci-14-00935-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45e8/11430687/7bb5f5f2422f/brainsci-14-00935-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45e8/11430687/570c04b4e1a3/brainsci-14-00935-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45e8/11430687/c503d67a093a/brainsci-14-00935-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45e8/11430687/82ffab2a8027/brainsci-14-00935-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45e8/11430687/3ce0fafbda08/brainsci-14-00935-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45e8/11430687/fe3c4871acd9/brainsci-14-00935-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45e8/11430687/7bb5f5f2422f/brainsci-14-00935-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45e8/11430687/570c04b4e1a3/brainsci-14-00935-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45e8/11430687/c503d67a093a/brainsci-14-00935-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45e8/11430687/82ffab2a8027/brainsci-14-00935-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45e8/11430687/3ce0fafbda08/brainsci-14-00935-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45e8/11430687/fe3c4871acd9/brainsci-14-00935-g006.jpg

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本文引用的文献

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Aberrant resting-state functional connectivity underlies cognitive and functional impairments in remitted patients with bipolar disorder.
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Altered dynamic brain activity and functional connectivity in thyroid-associated ophthalmopathy.甲状腺相关眼病的大脑活动和功能连接的改变。
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Brain Commun. 2023 May 3;5(3):fcad143. doi: 10.1093/braincomms/fcad143. eCollection 2023.
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