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无症状脑白质疏松症患者脑连接组的拓扑效率异常

Topologic Efficiency Abnormalities of the Connectome in Asymptomatic Patients with Leukoaraiosis.

作者信息

Yao Shun, Zhang Hong-Ying, Wang Ren, Cheng Ding-Sheng, Ye Jing

机构信息

Department of Medical Imaging, Clinic Medical School, Yangzhou University, Northern Jiangsu Province Hospital, Yangzhou 225000, China.

Department of Neurology, Clinic Medical School, Yangzhou University, Northern Jiangsu Province Hospital, Yangzhou 225000, China.

出版信息

Brain Sci. 2022 Jun 15;12(6):784. doi: 10.3390/brainsci12060784.

Abstract

Leukoaraiosis (LA) is commonly found in aging healthy people but its pathophysiological mechanism is not entirely known. Furthermore, there is still a lack of effective pathological biomarkers that can be used to identify the early stage of LA. Our aim was to investigate the white matter structural network in asymptomatic patients with the early stage of LA. Tractography data of 35 asymptomatic patients and 20 matched healthy controls (HCs) based on diffusion kurtosis imaging (DKI) were analysed by using graph theory approaches and tract-based spatial statistics (TBSS). Diffusion parameters measured within the ALAs and HCs were compared. Decreased clustering coefficient and local efficiency values of the overall topological white matter network were observed in the ALAs compared with those of the HCs. Participants in the asymptomatic group also had lower nodal efficiency in the left triangular part of the inferior frontal gyrus, left parahippocampal gyrus, right calcarine fissure and surrounding cortex, right temporal pole of the superior temporal gyrus and left middle temporal gyrus compared to the ALAs. Moreover, similar hub distributions were found within participants in the two groups. In this study, our data demonstrated a topologic efficiency abnormalities of the structural network in asymptomatic patients with leukoaraiosis. The structural connectome provides potential connectome-based measures that may be helpful for detecting leukoaraiosis before clinical symptoms evolve.

摘要

脑白质疏松症(LA)常见于健康老年人,但病理生理机制尚不完全清楚。此外,仍缺乏可用于识别LA早期阶段的有效病理生物标志物。我们的目的是研究无症状LA早期患者的白质结构网络。使用图论方法和基于纤维束的空间统计学(TBSS)分析了35例无症状患者和20例匹配的健康对照(HC)基于扩散峰度成像(DKI)的纤维束成像数据。比较了在LA患者和HC中测量的扩散参数。与HC相比,LA患者总体拓扑白质网络的聚类系数和局部效率值降低。与LA患者相比,无症状组患者在额下回左三角部、海马旁回左部、距状裂右部及周围皮质、颞上回右颞极和颞中回左部的节点效率也较低。此外,两组参与者的枢纽分布相似。在本研究中,我们的数据显示了无症状LA患者结构网络的拓扑效率异常。结构连接组提供了基于连接组的潜在测量方法,可能有助于在临床症状出现之前检测LA。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbaa/9221063/89bef44e5260/brainsci-12-00784-g001.jpg

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