Zou Ting, Chen Chen, Chen Huafu, Wang Xuyang, Gan Lin, Wang Chong, Gao Qing, Zhang Chunyan, Liao Wei, Cheng Jingliang, Li Rong
The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, P.R. China.
School of Life Science and Technology, MOE Key Laboratory for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, 610054, P.R. China.
BMC Neurosci. 2024 Dec 26;25(1):78. doi: 10.1186/s12868-024-00918-4.
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.
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 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).
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.
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,在帕金森病中,很少研究网络水平上结合皮质下区域的结构-功能(SC-FC)耦合变化。
利用扩散张量成像获得的结构连通性和静息态功能磁共振成像获得的功能连通性,系统构建了53例帕金森病患者和72例年龄和性别匹配的健康对照(HCs)的SC-FC耦合网络。然后,我们探讨了SC-FC耦合在几个明确的功能域内和之间是如何变化的。
结果显示,与健康对照相比,帕金森病患者的SC-FC耦合整体降低。具体而言,帕金森病患者的顶下小叶、枕颞叶皮质、运动皮质和高级联合皮质区域的SC-FC解耦。此外,帕金森病在视觉网络(VIS)、边缘和高级联合网络中表现出网络内SC-FC解耦。此外,观察到主要与VIS、躯体运动网络(SOM)、背侧注意网络和默认模式网络相关的网络间解耦,在帕金森病中发现皮质下网络与SOM之间的网络间耦合增加(所有p<0.05,FDR校正)。
这些发现表明,帕金森病的特征是多尺度脑网络拓扑组织中的SC-FC解耦,为帕金森病的脑网络机制提供了见解。