基于多模态MRI对颈动脉狭窄患者脑网络研究进展

Advances in multimodal MRI-based study of brain networks in patients with carotid artery stenosis

颈动脉粥样硬化造成的狭窄、闭塞是缺血性卒中的重要原因。近年来,随着MRI影像技术的不断发展以及复杂网络理论的引入,脑网络分析方法不仅可解释不同脑区网络拓扑属性改变导致颈动脉狭窄患者出现相应临床症状及认知功能障碍,还可探索颈动脉狭窄的影像学标记物,从而为早期无症状颈动脉狭窄诊断、个体化干预方案的选择及疗效评估提供重要参考数据,且已成为重要的辅助工具。本文以颈动脉狭窄患者脑结构及功能网络研究为重点展开综述,介绍脑网络节点及边的定义及复杂网络中较重要的拓扑属性;分析颈动脉狭窄患者脑网络研究现状;讨论现有成像技术及网络构建方法学对本领域研究的挑战以及对未来的展望。

Stenosis and occlusion caused by carotid atherosclerosis is an important cause of ischemic stroke.In recent years,with the continuous development of magnetic resonance imaging(MRI) technology and the introduction of complex network theory,brain network analysis can be used not only to explain the clinical symptoms and cognitive dysfunction in patients with carotid stenosis caused by changes in network topological properties of different brain regions,but also to explore the imaging markers of carotid stenosis,thus providing important reference data for the diagnosis of early asymptomatic carotid stenosis,the selection of individualized intervention programs,and the assessment of efficacy.Brain network analysis has been used as a powerful tool.In this paper,we review the studies of structural and functional brain networks in patients with carotid stenosis,and introduce the definitions of brain network nodes and edges and important topological properties of complex networks.We also analyze the current research on brain network in patients with carotid stenosis,and discuss the challenges and outlook of existing imaging techniques and network construction methodologies in this field.