带状疱疹后遗神经痛患者脑结构网络基于图论分析的初步研究

发布时间：2018-01-30 13:09

本文关键词： 带状疱疹后遗神经痛功能磁共振图论脑结构网络小世界网络　出处：《昆明医科大学》2017年硕士论文　论文类型：学位论文

【摘要】：[目的]本研究采用近年学科交叉研究热点的脑网络分析方法,将磁共振扩散张量成像(diffusion tensor imaging,DTI)技术与图论分析方法相结合,利用解剖学自动标记模板(Automated Anatomical Labeling,AAL)把大脑划分为90脑区定义为90个节点,边的权重(wij)定义为任意两个脑区间白质纤维束的纤维束数量(Fiber number,FN)与平均各项异性分数值(Fractional Anisotropy,FA)的乘积(wij=FNij × FAij),由此构建具有纤维束复合属性的加权脑结构网络(90X90)图论模型,检测和定量分析带状疮疹后遗神经痛(postherpetic neuralgia,PHN)脑结构网络拓扑属性改变特点,从一个全新的视角认识和探讨PHN中枢微观改变。[方法]分别采集15例带状疱疹后并发PHN患者和与之性别、年龄、受教育程度匹配的健康志愿者磁共振图像数据,包括全脑DTI和3D T1WI数据{采集数据当天同时采集所有被试者一般临床资料和PHN患者视觉模拟评分(visual analogue scale,VAS)、病程、部位等相关信息}。使用北京师范大学脑认知与学习国家重点实验室自行设计的DTI自动处理软件PANDA和基于Matlab软件开发的针对磁共振影像数据基于图论的复杂脑网络分析软件Gretna、NBS(Network-Based Statistic)对数据进行处理,利用解剖学自动标记模板把大脑划分为90脑区定于为90个节点,边的权重(wij)定义为任意两个脑区间白质纤维束的FN与FA值的乘积(wij = FNij × FAij),由此构建具有纤维束复合属性的加权脑结构网络(90X90)图论模型,以年龄、性别、受教育程度作为协变量,采用两独立样本t检验对两组被试脑结构网络模型各项拓扑属性特征进行差异性统计分析,包括小世界属性、网络全局效率及局部效率、节点效率。对两组网络属性改变与临床变量(VAS评分、病程)作偏相关分析,观察PHN患者网络属性异常改是否与临床变量存在显著相关性。[结果]1、PHN组和正常对照组(Normalcontrol,HC)的脑结构网络均具有明显的“小世界”属性(采用双样本t检验进行统计分析,经FDR校正,取P0.05时,认为两组间差异有统计学意义)。2、PHN组和HC组的脑结构网络全局效率和局部效率差异均无统计学意义(P0.05)。3、PHN组与HC组脑结构网络各脑区节点效率相比,PHN组局部脑区节点效率显著减低,包括左侧脑岛、左侧海马旁回、左侧豆状壳核、右侧眶部额中回、右侧眶部额下回、双侧直回、右侧枕下回(P0.05)。4、与HC组相比,PHN组脑结构网络部分脑区间连接边的连接强度显著减低,分别位于左侧海马旁回-左侧舌回,左侧舌回-左侧直回,左侧直回-右侧前扣带回和扣带旁回,左侧直回-左侧眶内额上回,左侧眶内额上回-右侧尾状核,左侧眶内额上回-左侧豆状壳核,右侧尾状核-左侧丘脑,右侧尾状核-左侧背外侧额上回(P0.05)。5、回归去除年龄、性别、受教育程度的影响后,相关性分析结果显示PHN患者脑结构网络局部脑区节点效率减低及部分脑区间的连接边强度减低均与VAS评分、病程之间无明显统计意义相关性(P0.05)。[结论]1、PHN患者和正常对照者的脑结构网络均具有明显的“小世界”属性,再次证实了人脑具有经济-低能的“小世界”式信息处理模式,反映了人脑结构网络功能分化和整合之间的优化平衡。2、PHN患者和正常对照者的脑结构网络全局效率和局部效率无显著差异,说明PHN脑结构网络整体连接模式并未发生本质的改变。3、PHN患者脑结构网络左侧岛叶、左侧海马旁回、左侧豆状壳核、右侧眶部额中回、右侧眶部额下回、双侧直回及右侧枕下回多个脑区节点效率较HC组显著减低;且多个脑区间连接边的连接强度显著减低。这些脑区主要涉及感觉,记忆,情感和情绪过程,提示PHN疼痛的产生可能与不同脑区间结构连接失调有关,间接反映了PHN患者白质连接存在广泛的损伤。4、基于图论的脑结构网络研究方法可以全面、立体的检测和定量分析脑结构网络拓扑属性改变特点,为探索PHN的中枢机制、观察其脑网络结构的改变以及解释相应临床表现提供了一个全新的方向。
[Abstract]:[Objective] this study used in cross interdisciplinary research topics of brain network analysis method, the diffusion tensor magnetic resonance imaging (diffusion tensor, imaging, DTI) technology combining with the graph theory, the automatic labeling template (Automated Anatomical Labeling, according to the anatomy of the brain is divided into AAL) defined 90 brain areas with 90 nodes and edges the weight of fiber (Wij) is defined as any two brain white matter fiber bundles (Fiber number, FN) and the average anisotropy value (Fractional Anisotropy, FA) of the product (wij=FNij * FAij), thus constructing weighted brain structure network with fiber composite attribute (90X90) graph model the detection and quantitative analysis of herpes zoster neuralgia (postherpetic neuralgia, PHN) the changes of topological properties of brain structure network, from a new perspective and explore the microscopic changes of central PHN method were collected. In 15 cases of herpes zoster patients with PHN and gender, age, healthy volunteers with magnetic resonance image data, level of education, including whole brain DTI and 3D T1WI data acquisition data collected at the same time the day {all the subjects of general clinical data and PHN patients with visual analogue scale (visual analogue, scale, VAS) course site, and other related information. The use of brain cognition and learning of Beijing Normal University State Key Laboratory of self-designed DTI automatic processing software PANDA and Matlab software development based on magnetic resonance imaging data of complex brain network analysis software Gretna, NBS (Network-Based Statistic) for data processing, the use of automatic marking the template anatomy of the brain is divided into 90 brain is scheduled to 90 nodes, edge weights (Wij) is defined as the product of any two brain white matter fiber FN and FA values (Wij = FNij * FAij) Thus, to construct weighted brain structure network with fiber bundle composite attribute (90X90) graph theory model, by age, gender, education level as a covariate, using two independent sample t test on the two groups of subjects brain structure network model the topology characteristics and differences in statistical analysis, including small world properties, the overall efficiency of the network and the local efficiency, efficiency of the two groups of network node attribute changes and clinical variables (VAS score, duration) for partial correlation analysis, PHN on patients with abnormal change of whether the network properties and the clinical variables have significant correlation. The results of]1, PHN group and normal control group (Normalcontrol, HC) of the brain structural networks had obvious the "small world" attribute (with two sample t test was used for statistical analysis, the FDR correction was P0.05, there was significant difference between the two groups of.2), PHN group and HC group, the brain structure of the overall efficiency of the network and the local There were no significant differences in the efficiency of.3 (P0.05), PHN group and HC group brain areas of the brain structure of the network node efficiency compared to the PHN node group of local brain regions significantly reduce the efficiency, including the left insula, left parahippocampal gyrus, left putamen, right orbital frontal gyrus, right inferior frontal gyrus bilateral orbital. Straight back, right middle occipital gyrus (.4, P0.05) compared with HC group, PHN group network connection strength of brain structure interval with edge part of the brain was significantly decreased, respectively located in the left parahippocampal gyrus, left lingual gyrus, left lingual gyrus and left straight back, left back straight - right anterior cingulate and cingulate gyrus the left back, straight - left orbital frontal gyrus, left orbital frontal gyrus and right caudate nucleus, left orbital frontal gyrus and left putamen, right caudate nucleus, left thalamus, right caudate nucleus - left dorsolateral frontal gyrus (P0.05).5, regression removal age, gender, education level of the after correlation analysis Results showed that the brain structure in patients with PHN brain network nodes and reduce efficiency of the connecting edge part of the brain interval strength decreased with VAS score, no obvious statistical significance of the correlation between the course of disease (P0.05). Conclusion]1, PHN patients and normal controls, the brain structural networks have obvious small world property, once again confirmed the human brain has low energy economy "small world" type information processing model, reflects the optimal balance between.2 differentiation and integration of human brain structure network function, there was no significant difference between the global and local efficiency of brain structure of PHN patients and normal controls, PHN brain structure overall network connection mode does not change the nature of the occurrence of.3. Brain PHN networks in patients with left insula, left parahippocampal gyrus, left putamen, right orbital frontal gyrus, right orbital frontal gyrus, bilateral straight gyrus and right inferior occipital gyrus in multiple brain regions of nodes Efficiency is significantly lower than the HC group; and a plurality of connection strength side of the brain regions decreased significantly. These brain regions are involved in sensory, memory, emotion and emotional process, suggesting that PHN may produce pain with different brain regions connected structure disorder, indirectly reflects the PHN patients with white matter damage.4 connection exists widely, brain study on the structure of the network based on graph theory can change the characteristics of comprehensive, three-dimensional detection and quantitative analysis of brain network topology attributes for the central mechanism of PHN exploration, to observe the brain network structure change and explain the corresponding clinical manifestations and provides a new direction.

【学位授予单位】：昆明医科大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：R445.2;R752.12

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