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Disturbed brain anatomical networks and functional directed connection in temporal lobe tumor patients based on dti and resting-state fMRI

机译:基于dti和静止状态fMRI的颞叶肿瘤患者的大脑解剖网络和功能定向连接

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This study aims to apply graph theory measures of fiber tracking derived from diffusion tensor imaging (DTI) and resting-state fMRI data to investigate the cognitive alternation and functional restructuring mechanism in patients with temporal lobe tumor. Twenty patients with temporal lobe tumor and seventeen aged- and sex-matched healthy volunteers were recruited in this study. Initially, brain anatomical networks of all subjects were constructed, then the global and regional efficiency of whole-brain anatomical networks were compared. In addition, betweenness centrality (Bi) was used to identify hubs of two groups, granger causality analysis (GCA) based on resting-state fMRI were utilized to obtain information flow directions between hub brain regions. The results of topological properties show that the patient's small-world characteristics have declined. Tumor patients lose 4 hub regions and add 4 new hubs when compared to normal controls, the information flow directions were significantly changed between different functional areas and inside default mode network. The results revealed that the directions of spontaneous information flow and causal influences in directed brain networks and the topological properties in undirected anatomical brain network, thus providing new insights into understanding the structural plasticity and compensatory mechanism of the brain in patients with temporal lobe tumors.
机译:这项研究的目的是应用源自扩散张量成像(DTI)和静止状态fMRI数据的纤维追踪的图论测量方法,以研究颞叶肿瘤患者的认知交替和功能重建机制。本研究招募了20名颞叶肿瘤患者和17名年龄和性别匹配的健康志愿者。最初,构建了所有受试者的大脑解剖网络,然后比较了全脑解剖网络的全局和区域效率。此外,使用中间性中心(Bi)来识别两组的枢纽,基于静止状态fMRI的格兰杰因果关系分析(GCA)用于获得枢纽大脑区域之间的信息流动方向。拓扑属性的结果表明,患者的小世界特征已下降。与正常对照相比,肿瘤患者失去了4个枢纽区域,并增加了4个新的枢纽,信息流的方向在不同功能区域和默认模式网络内部发生了显着变化。结果表明,定向脑网络中自发信息流的方向和因果影响以及无定向解剖脑网络中的拓扑特性,从而为了解颞叶肿瘤患者大脑的结构可塑性和代偿机制提供了新的见识。

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