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基于图论的分裂型人格障碍多加权脑结构网络研究 被引量:1

Graph Theory Based Study on Multi-weighted Structural Brain Network of Schizotypal Personality Disorder
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摘要 基于图论方法分析分裂型人格障碍(SPD)患者与健康对照在脑结构网络局部和全局参数上的差异.根据 Brainnetome 脑图谱将大脑皮层划分为246 个脑区利用扩散加权图像重建脑白质神经纤维束构建以神经纤维束条数、密度、长度和优化的密度为加权方式的脑结构网络.计算网络节点参数和全局参数通过假设检验找出具有显著性差异的脑区.结果发现 SPD 患者与健康人的脑结构网络在全局参数上无显著性差异在节点参数上 6 个脑区存在显著性差异差异脑区在位置上显示出左右脑不对称性在功能上与认知、情感和感知高度相关.研究结果可为疾病诊断治疗提供重要参考. With graph theory methods, this study identified the differences in nodal and global parameters between schizotypal personality disorder(SPD) and healthy control(HC). Firstly, the whole brain was divided into 246 regions of interest(ROIs)based on the human Brainnetome Atlas, then the fiber bundles were reconstructed based on DWI images, and the structural networks were constructed by statistics under the four weighting methods: fiber number, fiber density, fiber length and optimized fiber density. Secondly, nodal and global parameters were calculated, and brain ROIs with significant differences were determined by two-sample t -tests between groups. The results show that there is no difference in global parameters, but in nodal scale, SPD is significantly different in six ROIs. The distribution of ROIs is asymmetric in the left and right hemisphere. The functions of ROIs are highly related to cognition, emotion and perception. These findings would help the diagnosis and treatment of SPD.
作者 齐守良 张波 李萌 伍建林 QI Shou-liang;ZHANG Bo;LI Meng;WU Jian-lin(Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang 110169, China;Key Laboratory of Medical Image Computing of Northeastern University(Ministry of Education), Shenyang 110169, China;Department of Radiology, the Affiliated Zhongshan Hospital of Dalian University, Dalian 116001, China)
出处 《东北大学学报(自然科学版)》 EI CAS CSCD 北大核心 2019年第8期1093-1098,共6页 Journal of Northeastern University(Natural Science)
基金 国家自然科学基金资助项目(81671773) 中央高校基本科研业务费专项资金资助项目(N172008008,N181904003)
关键词 分裂型人格障碍 结构脑网络 扩散加权成像 图论 脑白质神经纤维束 schizotypal personality disorder structural brain network diffusion weighted imaging graph theory fiber bundles
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