基于弥散磁共振的精神分裂症网络异常模式研究

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	基于弥散磁共振的精神分裂症网络异常模式研究
	陶艳
	2015-05-26
学位类型	工学硕士
中文摘要	精神分裂症是一种持续、慢性的重性精神疾病，在一般人群中的发病率为1%左右并且临床表现复杂多样。自从弥散张量成像技术被应用于该领域，大量研究开始利用该技术来探索精神分裂症中的白质异常，然而结果常常难以重复且差异较大。本文中，我们采用来自4个不同中心的大样本弥散张量磁共振数据从白质异常、网络异常两个方面，利用基于模板匹配、基于体素分析、纤维跟踪等方法进行分析，以期能够得到比较稳定的结果。在精神分裂症白质异常的分析中，我们首先利用基于模板的方法分析56条白质纤维的异常，发现其中10条纤维的平均扩散（MD）指标在精神分裂症患者中显著增加，主要集中在胼胝体、穹窿、右侧上纵束以及左侧上辐射冠，并且其中的一些白质纤维的MD指标与发病年龄、病程、PANSS阴性症状之间存在一定的关系。为了验证在不同的方法下结果是否一致，又进行了基于体素的补充分析，发现了和上述较一致的结果。然后，我们从之前的精神分裂症meta分析的结果中提取出精神分裂症涉及的脑区作为种子点并分析这些显著异常的脑区之间白质连接的异常情况。我们发现其中5条连接存在异常并且这些连接主要分布在胼胝体、上额枕束、上辐射冠、上纵束等白质区域。在网络分析中我们首先在独立的正常被试样本中对默认网络的结构连接模式进行了分析并发现了记忆、焦虑症状与默认网络的网络属性之间的关系。然后，在4个不同中心的大样本数据集中分别构建精神分裂症患者和正常被试的默认网络的结构连接模式，发现左右侧额上皮质之间的连接、左右侧额上皮质的度和节点效率以及左侧颞顶联合皮质区域的度在精神分裂症患者中显著下降。此外默认网络的度和全局效率在精神分裂症患者中也显著下降。
英文摘要	Schizophrenia is a kind of persistent, chronic and severe psychiatric disorder. The incidence of schizophrenia in general population is about 1% and the clinical manifestations are complex and varied. Since the diffusion tensor imaging technique was applied in this area, lots of studies have started to use it to explore the deficits of white matter in schizophrenia, but the results were often different and hard to repeat. In this study, we used four site datasets with large samples to analyze the abnormalities of white matter and network in schizophrenia, with the methods of atlas based analysis, voxel based analysis, fiber tracking and so on, in order to obtain consistent and stable results. Firstly, we used the method of atlas based analysis to analyze the deficits of 56 white matter fibers in the atlas in the part of the analyses of whiter matter deficits in schizophrenia and found that the mean diffusivity (MD) values of ten white matter fibers increased in schizophrenia, mainly in the corpus callosum, fornix, right superior longitudinal fasciculus and left superior corona radiata. The MD values of some white matter fibers were found to be associated with the age of onset, illness duration and PANSS negative symptom. Meanwhile, in order to verify whether the results are consistent under different methods, we added a complementary analysis with the method of voxel based analysis and the results accorded with the above. Then, we extracted some brain regions involved in schizophrenia as seed points in the result of meta analysis of schizophrenia and analyzed the abnormalities of white matter connections between these areas. Five connections were found to be abnormal with increased MD values in schizophrenia and were mainly distributed in corpus callosum, superior frontooccipital fasciculus, superior corona radiata and superior longitudinal fasciculus. The method of graph theory was applied to study the brain network in schizophrenia and healthy subjects. Firstly, we analyzed the structural connectivity pattern of the default mode network (DMN) in a healthy population and found its association with memory and anxiety. Then, in the four site datasets with large sample size, the DMN structural network was constructed both in schizophrenia and health controls and the connection between left and right superior prefrontal cortices, the nodal degree of left and right superior prefrontal cortices and left temporoparietal cortex and the nodal efficiency of the left and right superior prefrontal cortices were significantly reduced in schizophrenia. Besides, the degree and global efficiency of the whole DMN were also decreased in schizophrenia.
关键词	精神分裂症弥散张量磁共振成像白质纤维脑网络
文献类型	学位论文
条目标识符	http://ir.ia.ac.cn/handle/173211/11861
专题	毕业生_硕士学位论文
作者单位	中国科学院自动化研究所
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	陶艳. 基于弥散磁共振的精神分裂症网络异常模式研究[D]. 北京. 中国科学院大学,2015.

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