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与脑小血管病认知功能障碍相关的灰质网络破坏

Disrupted Gray Matter Networks Associated with Cognitive Dysfunction in Cerebral Small Vessel Disease.

作者信息

Gao Yian, Wang Shengpei, Xin Haotian, Feng Mengmeng, Zhang Qihao, Sui Chaofan, Guo Lingfei, Liang Changhu, Wen Hongwei

机构信息

Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China.

Research Center for Brain-Inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing 100040, China.

出版信息

Brain Sci. 2023 Sep 22;13(10):1359. doi: 10.3390/brainsci13101359.

Abstract

This study aims to investigate the disrupted topological organization of gray matter (GM) structural networks in cerebral small vessel disease (CSVD) patients with cerebral microbleeds (CMBs). Subject-wise structural networks were constructed from GM volumetric features of 49 CSVD patients with CMBs (CSVD-c), 121 CSVD patients without CMBs (CSVD-n), and 74 healthy controls. The study used graph theory to analyze the global and regional properties of the network and their correlation with cognitive performance. We found that both the control and CSVD groups exhibited efficient small-world organization in GM networks. However, compared to controls, CSVD-c and CSVD-n patients exhibited increased global and local efficiency (E/E) and decreased shortest path lengths (L), indicating increased global integration and local specialization in structural networks. Although there was no significant global topology change, partially reorganized hub distributions were found between CSVD-c and CSVD-n patients. Importantly, regional topology in nonhub regions was significantly altered between CSVD-c and CSVD-n patients, including the bilateral anterior cingulate gyrus, left superior parietal gyrus, dorsolateral superior frontal gyrus, and right MTG, which are involved in the default mode network (DMN) and sensorimotor functional modules. Intriguingly, the global metrics (E, E and L) were significantly correlated with MoCA, AVLT, and SCWT scores in the control group but not in the CSVD-c and CSVD-n groups. In contrast, the global metrics were significantly correlated with the SDMT score in the CSVD-s and CSVD-n groups but not in the control group. Patients with CSVD show a disrupted balance between local specialization and global integration in their GM structural networks. The altered regional topology between CSVD-c and CSVD-n patients may be due to different etiological contributions, which may offer a novel understanding of the neurobiological processes involved in CSVD with CMBs.

摘要

本研究旨在调查伴有脑微出血(CMB)的脑小血管病(CSVD)患者灰质(GM)结构网络的拓扑组织破坏情况。从49例伴有CMB的CSVD患者(CSVD-c)、121例不伴有CMB的CSVD患者(CSVD-n)和74例健康对照者的GM体积特征构建个体水平的结构网络。该研究使用图论分析网络的全局和局部属性及其与认知表现的相关性。我们发现对照组和CSVD组在GM网络中均表现出有效的小世界组织。然而,与对照组相比,CSVD-c和CSVD-n患者表现出全局和局部效率(E/E)增加以及最短路径长度(L)缩短,表明结构网络中的全局整合和局部专业化增加。虽然没有明显的全局拓扑变化,但在CSVD-c和CSVD-n患者之间发现了部分重新组织的枢纽分布。重要的是,CSVD-c和CSVD-n患者之间非枢纽区域的区域拓扑有显著改变,包括双侧前扣带回、左侧顶上叶、背外侧额上回和右侧颞中回,这些区域参与默认模式网络(DMN)和感觉运动功能模块。有趣的是,全局指标(E、E和L)在对照组中与蒙特利尔认知评估量表(MoCA)、听觉词语学习测验(AVLT)和符号数字模式测验(SCWT)得分显著相关,但在CSVD-c和CSVD-n组中则不然。相反,全局指标在CSVD-s和CSVD-n组中与斯特鲁普测验(SDMT)得分显著相关,但在对照组中则不然。CSVD患者在其GM结构网络中表现出局部专业化和全局整合之间的平衡破坏。CSVD-c和CSVD-n患者之间区域拓扑的改变可能是由于不同的病因学贡献,这可能为理解伴有CMB的CSVD所涉及的神经生物学过程提供新视角。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6bab/10605932/e46501947d42/brainsci-13-01359-g001.jpg

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