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作 者:金超[1] 胡亚杰 李贤军[1] 王苗苗[1] 李彦彦[1] 程燕南 王小玗 陶星星 赵慧芳 杨健[1] JIN Chao;HU Ya-jie;LI Xian-jun;WANG Miao-miao;LI Yan-yan;CHENG Yannan;WANG Xiao-yu;TAO Xing-xing;ZHAO Hui-fang;YANG Jian(Department of Radiology,the First Affiliated Hospital of Xi’an Jiaotong University,Xi’an 710061,China)
机构地区:[1]西安交通大学第一附属医院医学影像科,西安710061
出 处:《磁共振成像》2018年第6期411-416,共6页Chinese Journal of Magnetic Resonance Imaging
基 金:国家重点研发计划项目(编号:2016YFC0100300);国家自然科学基金面上项目(编号:81471631;81771810;51706178);2011年教育部"新世纪优秀人才支持计划"(编号:NCET-11-0438);中国博士后科学基金面上项目(编号:2017M613145);陕西省自然科学基金青年项目(编号:2017JQ8005);西安交通大学第一附属医院临床研究课题重点项目(编号:XJTU1AF-CRF-2015-004)~~
摘 要:目的探讨早产与足月儿脑结构网络属性与模块化特点,并进行对比分析。材料与方法对20例早产儿(胎龄,30~37孕周)与22例足月儿(胎龄,37~42孕周)进行3D磁共振T1加权成像扫描,利用新生儿脑解剖学图谱将整个大脑划分为122个区域,对其中64个灰质脑区进行脑容积二值网络构建,计算并比较网络属性与模块化特征。结果两组脑网络属性均具有小世界属性;相较足月儿,早产儿集群系数与局部效率显著降低(P<0.05),且模块化结构不规则。结论早产儿与足月儿脑结构网络具有小世界属性,但早产儿脑局部信息传递效率低,模块化结构分散,提示其脑区间信息整合能力发育迟缓或异常。Objective:To compare the properties and module pattern of brain structural network between preterm and term neonates.Materials and Methods:20 preterm(gestational age,30-37 weeks)and 22 term neonates(gestational age,37-42 weeks)underwent 3D magnetic resonance T1-weighted imaging scan were recruited.All participants’brain was segmented into 122 regions by using neonatal brain anatomical atlas and 64 gray matter regions were selected to reconstruct the binary brain volume network.The network properties and module pattern were compared between the two groups.Results:The brain structural network of two groups possessed the small-world properties;in contrast to term neonates,preterm showed statistically decreased clustering coefficient and local efficiency(P<0.05),and unorganized module pattern.Conclusions:The brain structural network of preterm and term neonates showed the small-world properties.The decreased information-transformation efficiency and unorganized module pattern may suggest the delay or abnormal development of inter-region information integration capacity in preterm neonates.
关 键 词:早产儿 足月儿 脑容积 脑结构网络 模块化特征 磁共振成像
分 类 号:R445.2[医药卫生—影像医学与核医学] R722.6[医药卫生—诊断学]
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