基于磁共振的脑结构功能网络分析方法应用研究

发布时间：2018-07-03 11:34

本文选题：结构网络 + 功能网络　；参考：《电子科技大学》2017年硕士论文

【摘要】：近年来人们对大脑内部组织结构和生理机制的研究已经越来越成为了科研上的热点和难点,磁共振成像技术(MRI)的不断成熟,可以更好地用于大脑内部结构的探测和研究。从网络层面分析人脑的内在连接关系和结构特性可以从宏观上更好的理解大脑的工作原理和生理机制。利于基于图论的复杂网络分析方法对疾病大脑网络进行分析以此来探测疾病对大脑网络状态和组织结构的改变可以有助于对疾病的研究。早发精神分裂症(EOS)是一种因脑组织结构和功能紊乱而引起的疾病,目前从网络层面来研究这种疾病患者的大脑结构特性还不是很多。本文以磁共振数据为背景,利用基于图论的复杂网络分析方法对早发精神分裂症患者的大脑结构与功能网络进行分析研究。首先,利用EOS患者和正常对照组的弥散张量成像(DTI)数据和功能磁共振数据(fMRI)分别构建了大脑的结构网络和功能网络,在此基础上利用小世界网络模型,研究了被试的大脑结构和功能网络的连接状态,结果发现,两组被试的结构网络和功能网络均表现出了小世界网络的特性,不仅如此,患者组的结构网络小世界拓扑属性指标、聚合系数指标、局部效率指标相对于正常对照组有明显的升高,而网络的全局强度有明显的降低,这意味着早发精神分裂症患者结构网络的稳态性受到了破坏,内部的结构可能受损。其次,本文不仅计算和统计了网路的整体指标还对网络的局部拓扑属性指标进行了计算统计分析,结果发现患者结构网络在三角部额下回、枕上回、中央后回、顶上回、角回、颞横回、颞上回区域相对于对照组有明显升高的节点特征路径长度;节点效率在三角部额下回、枕上回、顶上回有明显的降低;并且中央后回、顶上回、角回的特征路径长度与临床PANSS量表有明显的相关性。这些结果意味着从这些脑区出发的纤维存在损失而引发信息加工效率减弱。
[Abstract]:In recent years, the research on the internal structure and physiological mechanism of the brain has become more and more hot and difficult. Magnetic resonance imaging (MRI) technology can be used to detect and study the internal structure of the brain. Analyzing the internal connection and structural characteristics of human brain from the network level can better understand the working principle and physiological mechanism of the brain. The complex network analysis method based on graph theory can be used to analyze the brain network of disease to detect the changes in the state and structure of the brain network, which can be helpful to the study of disease. Early onset schizophrenia (EOS) is a disease caused by the disorder of brain structure and function. Based on magnetic resonance imaging (MRI) data, the brain structure and function network of patients with early onset schizophrenia were studied by using the complex network analysis method based on graph theory. Firstly, the brain structure network and functional network were constructed by using diffusion Zhang Liang imaging data and functional magnetic resonance data of EOS patients and normal controls, respectively, and the small-world network model was used. The connection status of brain structure and functional network was studied. The results showed that the structural network and functional network of the two groups showed the characteristics of small-world network, not only that, but also the topological attributes of the small-world network of patients. The index of aggregation coefficient, the index of local efficiency, and the index of local efficiency were significantly higher than those of the normal control group, but the global strength of the network was significantly decreased, which meant that the steady-state of the structural network of patients with early onset schizophrenia was destroyed. The internal structure may be damaged. Secondly, this paper not only calculates and statistics the overall index of the network, but also calculates and analyzes the local topological attribute of the network. The results show that the patient structure network is located in the trigonometric subfrontal gyrus, supraoccipital gyrus, posterior central gyrus, superior parietal gyrus, angular gyrus. Transverse temporal gyrus and superior temporal gyrus had significantly increased nodal characteristic path length compared with the control group, and the joint efficiency was significantly decreased in the inferior frontal gyrus, superior occipital gyrus and superior parietal gyrus, and the posterior central gyrus, superior parietal gyrus, and supraparietal gyrus. There was a significant correlation between the length of characteristic pathway of angular gyrus and clinical PANSS scale. These results imply a loss of fibers from these brain regions, resulting in reduced information processing efficiency.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：R445.2;O157.5

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