不同COMT基因型的偏头痛患者大脑白质网络研究

发布时间：2018-01-28 14:23

本文关键词： 偏头痛 COMT 基于体素的形态测量学方法大脑结构网络　出处：《西安电子科技大学》2014年硕士论文　论文类型：学位论文

【摘要】：偏头痛是一种很常见的复发性神经疾病,发病时往往伴随畏声、畏光、恶心、呕吐心率加快等症状。在亚洲人群中,偏头痛的发病率高达8.4%~12.7%,且单次发作持续时间一般为4~72h,这给学习、工作和生活带来了很大的困扰,严重影响着个人和家庭的幸福生活。所以,研究偏头痛的发病机制具有重要的现实意义。现有研究表明遗传因素对偏头痛患者的病理生理学机制有一定的影响。COMT基因作为影响疼痛的遗传因素之一,已经被提出可能与偏头痛的发病率以及发病机理存在紧密的联系。目前,人脑连接组结合基因分析的研究已经发现,不同基因型会导致大脑结构和功能网络的差异。因此,我们猜测不同COMT基因型偏头痛患者的生理学机制可能与大脑的网络模式有关。为了验证上述猜测,本研究根据COMT Val158Met基因型,分别将111名健康被试和136名偏头痛患者分为Val/Val和携带Met两个子组,基于T1结构像和功能磁共振图像,采用基于体素的形态测量学方法和功能连接分析方法,评估COMT基因变异对于偏头痛患者大脑结构和功能网络的影响,从而研究无先兆偏头痛患者和健康被试中COMT基因型和疾病间在大脑网络中可能的交互作用,并进一步针对携带Met的偏头痛患者,利用纤维束追踪技术和多模态融合分析方法,结合复杂网络理论,探索偏头痛患者大脑结构网络内潜在的异常连接并考察结构连接-功能连接的耦合情况。本文的主要结果如下:1.偏头痛疾病和基因之间的交互作用主要呈现在海马区域,并且与Val/Val型健康被试相比,Val/Val型偏头痛患者在海马区的灰质密度值也显著性降低;2.以海马为感兴趣脑区,进行种子点功能连接分析。结果发现,与携带Met型患者相比,Val/Val型患者在海马到内侧前额叶的功能连接值显著性减小;3.针对携带Met基因型偏头痛患者,进行结构网络属性分析。结果表明,与健康被试相比,患者的大脑网络拓扑属性显著性改变,并且结构连接和功能连接的耦合情况发生明显改变。综上所述,不同基因型偏头痛患者的大脑网络存在着形态学上的差异,这在一定程度上为理解有家族遗传史偏头痛的病理机制提供了影像学证据。
[Abstract]:Migraine is a very common recurrent neurological disease, often accompanied by fear of sound, photophobia, nausea, vomiting? Symptoms such as accelerated heart rate. In Asian people, the incidence of migraine is as high as 8.4% 12.7and the duration of a single attack is usually 40.72 h, which is for study. Work and life bring a lot of trouble, seriously affect the well-being of individuals and families. So. It is of great practical significance to study the pathogenesis of migraine. Existing studies have shown that genetic factors have certain influence on pathophysiological mechanism of migraine patients. COMT gene is one of the genetic factors affecting pain. . It has been suggested that there may be a close association with the incidence and pathogenesis of migraine. Different genotypes lead to differences in brain structure and functional networks. Therefore, we speculate that the physiological mechanism of migraine patients with different COMT genotypes may be related to brain network patterns. According to the genotype of COMT Val158Met, 111 healthy subjects and 136 migraine patients were divided into two subgroups: Val/Val and carrying Met. Based on T1 structure image and functional magnetic resonance imaging, the effects of COMT gene mutation on brain structure and functional network of migraine patients were evaluated by morphometry and functional connection analysis based on voxel. In order to study the possible interaction between COMT genotypes and diseases in the brain network in patients without aura migraine and healthy subjects, and further targeted at migraine patients with Met. The fiber bundle tracing technique and multi-modal fusion analysis method are used to combine the complex network theory. To explore the potential abnormal connections in the brain structure network of migraine patients and to investigate the coupling of structural connection-functional connections. The main results of this paper are as follows:. 1. The interaction between migraine disease and genes is mainly present in the hippocampus. The gray matter density in hippocampus of patients with Val migraine was significantly lower than that of healthy subjects with Val/Val. 2. Using the hippocampus as the brain area of interest, the functional connections of seed points were analyzed. The results showed that compared with the patients with Met type. The functional connections between the hippocampus and the medial prefrontal lobe were significantly decreased in patients with Val/Val type. 3. The structural network properties of patients with Met genotype migraine were analyzed. The results showed that the topological properties of brain network in patients with Met genotype were significantly changed compared with healthy subjects. And the coupling between structural and functional connections has changed significantly. In conclusion, there are morphological differences in brain network among different genotypic migraine patients. To some extent, this provides imaging evidence for understanding the pathological mechanism of migraine with family genetic history.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：R747.2

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