Structural-functional connectivity decoupling in multiscale brain networks in Parkinson's disease.

IF 2.4 4区医学 Q3 NEUROSCIENCES

BMC Neuroscience Pub Date : 2024-12-26 DOI:10.1186/s12868-024-00918-4

Ting Zou, Chen Chen, Huafu Chen, Xuyang Wang, Lin Gan, Chong Wang, Qing Gao, Chunyan Zhang, Wei Liao, Jingliang Cheng, Rong Li

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引用次数: 0

Abstract

Background: Parkinson's disease (PD) is a progressive neurodegenerative disease associated with functional and structural alterations beyond the nigrostriatal dopamine projection. However, the structural-functional (SC-FC) coupling changes in combination with subcortical regions at the network level are rarely investigated in PD.

Methods: SC-FC coupling networks were systematically constructed using the structural connectivity obtained by diffusion tensor imaging and the functional connectivity obtained by resting-state functional magnetic resonance imaging in 53 PD and 72 age- and sex-matched healthy controls (HCs). Then, we explored how SC-FC coupling varied within and between several well-defined functional domains.

Results: Results showed that the SC-FC coupling in patients with PD was globally reduced in comparison with HCs. Specifically, regional SC-FC decoupled in the inferior parietal lobule, occipitotemporal cortex, motor cortex, and higher-order association cortex in patients with PD. Moreover, PD showed intranetwork SC-FC decoupling in the visual network (VIS), limbic and higher-order association networks. Furthermore, internetwork decoupling mainly linked to the VIS, the somatomotor network (SOM), the dorsal attention network, and the default mode network, was observed, increased internetwork coupling was found between the subcortical network and the SOM in PD (all p < 0.05, FDR corrected).

Conclusions: These findings suggest that PD is characterized by SC-FC decoupling in topological organization of multiscale brain networks, providing insights into the brain network mechanisms in PD.

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帕金森病多尺度脑网络结构-功能连接解耦。

背景：帕金森病（PD）是一种进行性神经退行性疾病，与黑质纹状体多巴胺投射以外的功能和结构改变有关。然而，结构-功能（SC-FC）与皮层下区域在网络水平上的耦合变化在PD中很少被研究。方法：利用扩散张量成像获得的结构连通性和静息状态功能磁共振成像获得的功能连通性，系统构建53例PD和72例年龄和性别匹配的健康对照（hc）的SC-FC耦合网络。然后，我们探讨了SC-FC耦合如何在几个定义良好的功能域内和之间变化。结果：结果显示，与hcc相比，PD患者的SC-FC偶联整体降低。具体来说，PD患者的下顶叶、枕颞叶皮层、运动皮层和高阶关联皮层的区域SC-FC解耦。此外，PD在视觉网络（VIS）、边缘网络和高阶关联网络中显示SC-FC解耦。此外，PD中主要存在VIS、sommotor network （SOM）、背侧注意network （dor背attention network）和默认模式network （default mode network）之间的网络间耦耦，皮层下网络与SOM之间的网络间耦耦增加(p)。结论：这些发现表明PD在多尺度脑网络拓扑组织中具有SC-FC解耦的特征，为PD的脑网络机制提供了新的认识。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

BMC Neuroscience 医学-神经科学

CiteScore

3.90

自引率

0.00%

发文量

审稿时长

16 months

期刊介绍： BMC Neuroscience is an open access, peer-reviewed journal that considers articles on all aspects of neuroscience, welcoming studies that provide insight into the molecular, cellular, developmental, genetic and genomic, systems, network, cognitive and behavioral aspects of nervous system function in both health and disease. Both experimental and theoretical studies are within scope, as are studies that describe methodological approaches to monitoring or manipulating nervous system function.