基于图论分析对人群空间导航相关脑功能网络拓扑学属性的研究  

Topology properties of spatial navigation-related functional brain networks in crowds:a study based on graph theory analysis

作　　者：常琳丽 张彦海 迟丽屹 王会会 白婉麒 张琳静 徐朝霞 CHANG Linli;ZHANG Yanhai;CHI Liyi;WANG Huihui;BAI Wanqi;ZHANG Linjing;XU Zhaoxia(The Second Clinical Medical College,Shaanxi University of Chinese Medicine,Xi'an,Shaanxi 712000,P.R.China;Department of Neurology,Air Force 986 Hospital,Air Force Medical University,Xi'an,Shaanxi 710000,P.R.China;The First Outpatient Department,Air Force 986 Hospital,Air Force Medical University,Xi'an,Shaanxi 710000,P.R.China;Department of Neurology,Xianyang Hospital of Yan'an University,Xi'an,Shaanxi 712000,P.R.China;Department of Pharmacy,Air Force 986 Hospital,Air Force Medical University,Xi'an,Shaanxi 710000,P.R.China;Department of Imaging,Air Force 986 Hospital,Air Force Medical University,Xi'an,Shaanxi 710000,P.R.China)

机构地区：[1]陕西中医药大学第二临床医学院,陕西咸阳712000 [2]空军军医大学空军第九八六医院神经内科,陕西咸阳710000 [3]空军军医大学空军第九八六医院第一门诊部,陕西咸阳710000 [4]延安大学咸阳医院神经内科,陕西咸阳712000 [5]空军军医大学空军第九八六医院药剂科,陕西咸阳710000 [6]空军军医大学空军第九八六医院影像科,陕西咸阳710000

出　　处：《华西医学》2023年第8期1160-1166,共7页West China Medical Journal

基　　金：空军军医大学飞行人员作战效能提升航空医学重大问题科技攻关资助项目(2019ZTC04)。

摘　　要：目的探讨空间导航能力极好和空间导航能力极差人群的脑功能网络拓扑结构差异。方法2020年9月-2021年9月,从中国人民解放军陆军边海防学院选取符合纳入标准的100名大学生,进行空间导航能力的测试,选取空间导航能力极好者(GN组)和空间导航能力极差者(PN组)各25名,采集他们的脑部静息态功能MRI及3D T1加权结构像数据。应用图论分析研究大脑网络的拓扑结构,包括全局和局部的拓扑学属性。结果在阈值范围内,GN组和PN组在聚类系数、特征路径长度、局部效率的差异无统计学意义(P>0.05)。GN组和PN组的脑功能连接网络满足标准化的聚类系数(γ)>1、标准化的特征路径长度(λ)≈1、小世界属性(σ)>1,具有小世界网络属性,GN组的全局效率(0.22±0.01 vs.0.21±0.01)、γ值(0.97±0.18 vs.0.81±0.18)和σ值(0.75±0.13 vs.0.64±0.13)的曲线下面积高于PN组,差异有统计学意义(P<0.05),两组间λ值的曲线下面积差异无统计学意义(P>0.05)。节点水平分析结果显示GN组与PN组在左侧眶部额上回(0.29±0.05 vs.0.23±0.07)、右侧直回(0.29±0.05 vs.0.23±0.09)、左侧扣带回中部及其侧面环绕的脑回(0.22±0.02 vs.0.25±0.02)、左侧枕下回(0.32±0.05 vs.0.35±0.05)、右侧小脑3区(0.24±0.04 vs.0.26±0.03)、右侧小脑9区(0.22±0.09 vs.0.13±0.13)的节点聚类系数曲线下面积差异有统计学意义(P<0.05)。两组间的度中心性和节点效率的曲线下面积差异无统计学意义(P>0.05)。结论与空间导航能力极好者相比,空间导航能力极差者大脑拓扑学属性仍符合小世界网络属性,但脑区间的连接性较空间导航能力极好者降低,有向随机网络转化的趋势,某些脑区的节点聚类系数降低或升高。不同空间导航能力人群大脑功能网络连接性存在差异。Objective To investigate the differences in the topology of functional brain networks between populations with good spatial navigation ability and those with poor spatial navigation ability.Methods From September 2020 to September 2021,100 college students from PLA Army Border and Coastal Defense Academy were selected to test the spatial navigation ability.The 25 students with the highest spatial navigation ability were selected as the GN group,and the 25 with the lowest spatial navigation ability were selected as the PN group,and their resting-state functional MRI and 3D T1-weighted structural image data of the brain were collected.Graph theory analysis was applied to study the topology of the brain network,including global and local topological properties.Results The variations in the clustering coefficient,characteristic path length,and local efficiency between the GN and PN groups were not statistically significant within the threshold range(P0.05).The brain functional connectivity networks of the GN and PN groups met the standardized clustering coefficient(γ)1,the standardized characteristic path length(λ)≈1,and the smallworld property(σ)1,being consistent with small-world network property.The areas under curve(AUCs)for global efficiency(0.22±0.01 vs.0.21±0.01),γvalue(0.97±0.18 vs.0.81±0.18)andσvalue(0.75±0.13 vs.0.64±0.13)of the GN group were higher than those of the PN group,and the differences were statistically significant(P0.05);the betweengroup difference in AUC forλvalue was not statistically significant(P0.05).The results of the nodal level analysis showed that the AUCs for nodal clustering coefficients in the left superior frontal gyrus of orbital region(0.29±0.05 vs.0.23±0.07),the right rectus gyrus(0.29±0.05 vs.0.23±0.09),the middle left cingulate gyrus and its lateral surround(0.22±0.02 vs.0.25±0.02),the left inferior occipital gyrus(0.32±0.05 vs.0.35±0.05),the right cerebellar area 3(0.24±0.04 vs.0.26±0.03),and the right cerebellar area 9(0.22±0.09 vs.0.13±0.13)were sta

关 键 词：空间导航 脑功能网络 图论分析 静息态功能磁共振成像 拓扑结构 小世界网络属性 

分 类 号：R445.2[医药卫生—影像医学与核医学]