基于fMRI图论网络探索脑小血管病性轻度认知障碍的虚、实证候拓扑属性对照研究

Comparative Study on the Topological Attributes of Deficiency and Excess Pattern of Cerebral Small Vessel Disease Mild Cognitive Impairment Based on fMRI Graph Theory Network

目的基于图论网络探索性分析皮质下脑小血管病性轻度认知障碍虚证、实证的全脑及局部脑网络拓扑属性组间差异。方法前瞻性招募诊断为皮层下小血管病所致轻度血管性认知障碍患者和健康对照,基于GRETNA平台,计算虚证、实证和健康对照比较的组间全局小世界拓扑属性和局部节点强度、节点效率的组间差异。结果三组均具有小世界属性,但仅实证组患者在稀疏度为0.05-0.26内小世界属性δ显著低于对照组(P<0.05);同时,涉及额、顶及小脑等多个脑区的节点效率和节点强度指标均显著区分实证组、虚证组,但虚证患者在节点效率上无阳性脑区(P>0.05),在节点强度上仅表现为少数脑区的节点效率增高(P<0.05)。结论实组在全局拓扑属性及局部拓扑属性上均显著有别于虚证组,说明虚实证候具有显著差异的影像表型,为进一步探讨中医证候在疾病生物学分型的作用提供研究基础。

Objective This study aimed to explore the differences in global and local brain network topological properties between deficient pattern(DP)and excess pattern(EP)of mild vascular cognitive impairment caused by subcortical small vessel disease based on graph theory network.Methods Patients were recruited prospectively and were classified with DP and EP subtype.The global small-world topological attributes and local nodes were calculated for the comparison of DP,EP,and healthy controls(CN)using the GRETNA platform.Results The three groups all had small-world attributes,but only the patients in EP had a significantly lower small world attributeδin the range of 0.05-0.26 than the control group(P<0.05).The node efficiency and node strength indicators of multiple brain region were able to significantly distinguish the DP group from the EP group.However,there was no positive brain region in the node efficiency of the DP patients(P>0.05),and only a few brain regions showed increased node strength efficiency(P<0.05).Conclusion The results indicate that the syndrome of DP and EP have significantly different neuroimaging phenotypes,providing a basis for further research of biological classification based on Chinese Medicine syndromes.