不同状态下脑功能网络特性研究
发布时间：2018-11-11 00:09
【摘要】：近年来,随着功能磁共振和神经电生理技术的开发与利用,人脑活动数据的采集已经成为可能。如何从脑活动数据中发现具有生物学意义的知识及规律,正在成为当前神经信息学理论与实践研究的热点与难点。与此同时,复杂网络的研究在快速发展,在众多领域得到应用,研究者采用相同量化参数,发现一些共有的拓扑结构。人脑功能需要不同的神经环路交互作用才能实现,在复杂网络研究框架下,以交互作用为网络连接,以解剖脑区或电极为网络节点,构造脑功能网络,研究不同状态下的网络拓扑特性,有助于揭示脑内信息加工机制。 本论文基于功能磁共振和脑电数据,从复杂网络角度,分别研究了静息状态、冥想状态、任务状态的脑功能网络拓扑特性。论文的主要研究工作及贡献包括以下几个方面： 1.研究静息态脑功能网络的非随机拓扑结构。基十静息态功能磁共振数据,采用标准脑模板和偏相关方法来构建人脑功能网络,并进行拓扑结构分析。以最大生成树的方法进行脑网络骨架可视化,结果发现树中央区域主要由默认模式网络和注意网络脑区组成。应用谱平分算法,整个脑网络以划分成大小不同的具有生物学意义的功能团结构,每个团具有相对独立的功能。研究脑网络节点和连接在功能团内部和外部的作用,结果发现处于拓扑中心的核心节点和桥共同形成脑网络信息整合的中心。本研究勾画出人脑功能网络骨架和功能团结构的图谱,有利于我们进一步理解脑内信息加工的功能分割和功能整合机制。 2.研究高低频段对静息态脑功能网络的影响。将静息态数据划分为高频段(0.027～0.073Hz)和低频段(0.01～0.027Hz),构建差异化脑功能网络,计算二组频段的低频振荡振幅、局部一致性、功能连通性等量化指标的差异。结果发现,频段差异主要集中在默认模式网络的中线位置和杏仁核功能区域。本研究的差异化脑功能网络的构建方法和频率对脑功能网络影响范围的发现拓展了脑功能网络研究思路。 3.冥想状态脑功能网络特性研究。比较一个月冥想训练前后的脑功能网络拓扑特性和连通模式,发现处于大脑自我调节中心的前扣带回脑区的效率呈现增加趋势,而辅助运动区网络指标值呈现下降趋势,这种网络特性的改变可能用米维持通过训练达到的冥想状态。本研究从新的网络视角提供了经验相关的脑功能网络特性改变的实证支持。 4.任务状态脑功能网络的差异性研究。基于事件相关电位数据,采用同步似然方法计算电极间的功能关系,分析和比较了在道德两难决策过程中涉及个人和非涉及个人情景下的脑功能网络特性的差别。研究发现,涉及个人情景在右脑有更多更强的长程连接,并且与额叶有关,揭示了脑功能网络的连通模式与道德两难决策中认知和情感间冲突程度的表征有着密切关系。本研究提出道德加工的分布式机制和发现高冲突道德两难的大脑右侧化现象,有助于为任务脑功能网络和道德认知神经科学的研究拓宽思路。 总之,本论文对几种典型状态的脑功能网络做了一次系统研究的重要尝试,获得了一些有价值的结果。论文所提的方法和研究结果将促进脑功能网络研究的发展和完善,为笔者未来研究工作奠定了坚实的基础。
[Abstract]:In recent years, with the development and utilization of functional magnetic resonance and neuroelectrophysiology, the data collection of human brain activity has become possible. How to find the knowledge and law of biological meaning from the data of brain activity is becoming a hot point and difficulty in the research of the theory and practice of the present neuroinformatics. At the same time, the research of complex network has been applied in many fields, and the researchers used the same quantization parameters to find some common topological structures. The functions of the human brain need different neural-loop interaction to realize, under the complex network research framework, the network nodes are connected by the interaction as the network, the brain function network is constructed, and the network topology characteristics in different states are studied. It can help to reveal the mechanism of information processing in the brain. Based on the functional magnetic resonance and brain electrical data, the paper studies the network topology of the brain function of resting state, meditative state and task state from the complex network angle. The main research work and contribution of the paper include the following Aspect: 1. To study the non-follow-up of the resting-state brain function network Machine topology. Based on the magnetic resonance data of the function of resting state, the functional network of human brain is constructed by standard brain template and partial correlation method. The method of the maximum spanning tree is used to visualize the skeleton of the brain, and the central area of the tree is mainly composed of the default mode network and the attention net. The application spectrum bisection algorithm, the whole brain network is divided into a functional group structure with biological significance which is different in size, Independent function. To study the role of the brain network node and the connection within and outside the functional group, as a result, it is found that the core node and the bridge at the center of the topology together form the brain network information This study shows the map of the structure of the human brain function network skeleton and the functional group, which is helpful for us to further understand the function division and work of the information processing in the brain. can fit the whole mechanism....................................................... The effect of the brain function network is as follows: the rest state data is divided into high frequency band (0.027-0.073Hz) and low-frequency segment (0.01-0.027Hz), and the differentiated brain function network is constructed, and the low-frequency oscillation amplitude, local consistency and functional connectivity of the two-group frequency band are calculated The result shows that the frequency band difference is mainly in the middle line position of the default mode network and the discovery of the influence range of the frequency on the brain function network expands the brain. functional network research thinking. 3. Meditation The study of the characteristics of the functional network of the state brain is to compare the network topology and the model of the brain function before and after the one-month meditation training, and find that the efficiency of the anterior cingulate gyrus in the center of the brain self-regulation is increasing, and the auxiliary motion area The network index value presents a downward trend, and this change in network characteristics may be maintained in meters This study provides experience-related brain functions from a new network perspective The empirical support of the change of network characteristics. Based on the event-related potential data, the functional relation between the electrodes is calculated by a synchronous quasi-linear method, and the personal and non-involved individuals in the course of moral dilemma are analyzed and compared. The study found that there are more and more long-range connections between the right brain and the right brain, and it is related to the frontal lobe, which reveals the cognitive and emotion of the communication model and the moral dilemma in the brain function network. It is closely related to the characterization of the degree of inter-conflict. This study brings forward the distributed mechanism of moral processing and the right-to-the-right phenomenon of the brain in which high-conflict moral dilemma is found, which is helpful to the task brain function network and the channel. In general, this paper has done a systematic study on the brain function network of several typical states. The method and research result of the paper will promote the development and perfection of the research of the brain function network.
【学位授予单位】：大连理工大学
【学位级别】：博士
【学位授予年份】：2013
【分类号】：R318.04;O157.5
本文编号：2323962
[Abstract]:In recent years, with the development and utilization of functional magnetic resonance and neuroelectrophysiology, the data collection of human brain activity has become possible. How to find the knowledge and law of biological meaning from the data of brain activity is becoming a hot point and difficulty in the research of the theory and practice of the present neuroinformatics. At the same time, the research of complex network has been applied in many fields, and the researchers used the same quantization parameters to find some common topological structures. The functions of the human brain need different neural-loop interaction to realize, under the complex network research framework, the network nodes are connected by the interaction as the network, the brain function network is constructed, and the network topology characteristics in different states are studied. It can help to reveal the mechanism of information processing in the brain. Based on the functional magnetic resonance and brain electrical data, the paper studies the network topology of the brain function of resting state, meditative state and task state from the complex network angle. The main research work and contribution of the paper include the following Aspect: 1. To study the non-follow-up of the resting-state brain function network Machine topology. Based on the magnetic resonance data of the function of resting state, the functional network of human brain is constructed by standard brain template and partial correlation method. The method of the maximum spanning tree is used to visualize the skeleton of the brain, and the central area of the tree is mainly composed of the default mode network and the attention net. The application spectrum bisection algorithm, the whole brain network is divided into a functional group structure with biological significance which is different in size, Independent function. To study the role of the brain network node and the connection within and outside the functional group, as a result, it is found that the core node and the bridge at the center of the topology together form the brain network information This study shows the map of the structure of the human brain function network skeleton and the functional group, which is helpful for us to further understand the function division and work of the information processing in the brain. can fit the whole mechanism....................................................... The effect of the brain function network is as follows: the rest state data is divided into high frequency band (0.027-0.073Hz) and low-frequency segment (0.01-0.027Hz), and the differentiated brain function network is constructed, and the low-frequency oscillation amplitude, local consistency and functional connectivity of the two-group frequency band are calculated The result shows that the frequency band difference is mainly in the middle line position of the default mode network and the discovery of the influence range of the frequency on the brain function network expands the brain. functional network research thinking. 3. Meditation The study of the characteristics of the functional network of the state brain is to compare the network topology and the model of the brain function before and after the one-month meditation training, and find that the efficiency of the anterior cingulate gyrus in the center of the brain self-regulation is increasing, and the auxiliary motion area The network index value presents a downward trend, and this change in network characteristics may be maintained in meters This study provides experience-related brain functions from a new network perspective The empirical support of the change of network characteristics. Based on the event-related potential data, the functional relation between the electrodes is calculated by a synchronous quasi-linear method, and the personal and non-involved individuals in the course of moral dilemma are analyzed and compared. The study found that there are more and more long-range connections between the right brain and the right brain, and it is related to the frontal lobe, which reveals the cognitive and emotion of the communication model and the moral dilemma in the brain function network. It is closely related to the characterization of the degree of inter-conflict. This study brings forward the distributed mechanism of moral processing and the right-to-the-right phenomenon of the brain in which high-conflict moral dilemma is found, which is helpful to the task brain function network and the channel. In general, this paper has done a systematic study on the brain function network of several typical states. The method and research result of the paper will promote the development and perfection of the research of the brain function network.
【学位授予单位】：大连理工大学
【学位级别】：博士
【学位授予年份】：2013
【分类号】：R318.04;O157.5
【引证文献】
相关博士学位论文 前1条
1 张兰华;复杂网络建模的仿真与应用研究[D];大连理工大学;2013年
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