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急性小脑梗死患者认知功能变化及其与大脑结构网络的相关性研究

Cognitive function changes and its correlation with brain structure network in patients with acute cerebellar infarction
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摘要 目的研究急性小脑梗死患者认知功能评估及其与大脑结构网络的相关性。方法回顾性分析2021年10月至2022年10月沧州市人民医院收治入院的45例急性小脑梗死患者临床资料,将其设为观察组,选取同一时期入院的45名健康体检者设为对照组。两组研究对象均进行认知功能评估,评估方法为神经认知和行为学检测[Berg平衡量表(BBS)、画钟测试(CDT)、波士顿命名测试(BNT)、连线测验(TMT)-A、TMT-B、数字广度测试(DST)、听觉词语学习测试(RAVLT)、蒙特利尔认知评估量表(MoCA)、简易精神状态检查量表(MMSE)],弥散张量成像数据通过磁共振成像(MRI)扫描检查获取,大脑结构网络拓扑特征参数[小世界特性(σ)、标准化特征路径长度(λ)、标准化聚类系数(γ)、全局效率(Eglob)、局部效率(Eloc)、最短路径长度(Lp)、聚类系数(Cp)]通过确定性纤维追踪算法、图形理论获取。比较两组研究对象的一般资料及大脑结构网络拓扑特征参数,用相关性分析方法评估急性小脑梗死患者认知功能与大脑结构网络拓扑特征参数的关系。结果观察组患者TMT-A、TMT-B用时长于对照组,BBS评分、CDT评分、DST评分、RAVLT评分、MoCA评分、MMSE评分均明显低于对照组,差异均有统计学意义(P<0.05)。观察组患者的Lp、Cp水平明显高于对照组,Eloc、Eglob水平均明显低于对照组,差异均有统计学意义(P<0.05)。观察组患者14个脑区[左侧三角部额下回(IFGtriang)、左侧、右侧后扣带回(PCG)、左侧顶下缘角回(IPL)、左侧颞极颞中回(TPOmid)、左侧颞极颞上回(TPOsup)、左侧眶部额下回(ORBinf)、左侧、右侧的楔前叶(PCUN)、左侧、右侧的补充运动区(SMA)、左侧岛盖部额下回(IFGoperc)、左侧、右侧的内侧和旁扣带脑回(DCG)]的区域效率明显低于对照组,差异均有统计学意义(P<0.05)。观察组患者的网络Lp与MoCA评分呈负相关(P<0.05),右侧PCG区域效率、左侧D Objective To study the correlation between cognitive function assessment and brain structural network in patients with acute cerebellar infarction.Methods The study method was retrospective analysis.The observation subjects were 45 patients with acute cerebellar infarction admitted to Cangzhou People's Hospital from October 2021 to October 2022,and they were set as the study group.Forty-five healthy patients admitted to hospital during the same period were selected as the control group.The cognitive function of both groups was evaluated by neurocognitive and behavioral tests.The data of diffusion tensor imaging(DTI)were obtained by magnetic resonance imaging(MRI),and the topological parameters of brain structure network were obtained by deterministic fiber tracking algorithm and graph theory[Berg balance scale(BBS),clock drawing test(CDT),Boston naming test(BNT),trail making test(TMT)-A,TMT-B,digital breadth test(DST),rey auditory verb learning test(RAVLT),Montreal cognitive assessment scale(MoCA),mini-mental state examination(MMSE)].The diffusion tensor imaging data was obtained through magnetic resonance imaging(MRI)scanning,and the topological feature parameters of the brain structure network[small world characteristics(σ),standardized feature path length(λ),standardized clustering coefficient(γ),the global efficiency(Eglob),local efficiency(Eloc),shortest path length(Lp),and clustering coefficient(Cp)]were obtained through deterministic fiber tracking algorithms and graph theory.The general data and brain structure network topology parameters were compared between the two groups,the correlation analysis method was selected to evaluate the relationship between cognitive function and brain structure network topology parameters in patients with acute cerebellar infarction.Results TMT-A and TMT B took longer in the study group than in the control group,BBS score,CDT score,DST score,RAVLT score,MoCA score and MMSE score were lower than control group,and the differences were statistically significant(P<0.05).The
作者 张丽丽 吴婧 董兰真 ZHANG Li-li;WU Qian;DONG Lan-zhen(Department of Neurology,Cangzhou People's Hospital,Cangzhou Hebei 061000,China)
出处 《临床和实验医学杂志》 2024年第5期449-453,共5页 Journal of Clinical and Experimental Medicine
基金 2021年度河北省医学科学研究项目(编号:20210523)。
关键词 急性小脑梗死 认知功能 大脑结构网络 相关性 磁共振成像 Acute cerebellar infarction Cognitive function Brain structural network Relevance Magnetic Resonance Imaging
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