摘要
目的探索无神经心理障碍的维持性血液透析(maintenance hemodialysis,MHD)患者的脑灰质体积(gray matter volume,GMV)和结构协变网络(structural covariance network,SCN)的变化特点。材料与方法前瞻性采集23例无神经心理障碍的MHD患者及23例健康对照者(对照组)的3D-T1结构像数据。利用T1结构像数据提取每个受试者的GMV,然后根据每个受试者的GMV计算基于组水平的SCN。分别比较两组的GMV及SCN相关参数的差异。结果患者组右侧杏仁核的GMV显著低于对照组(P<0.05,FWE校正)。患者组右侧杏仁核的GMV与认知、焦虑、抑郁评分无显著相关性(P值均>0.05)。患者组两个全局属性参数[集聚系数(P=0.011)和局部效率(P=0.003)]显著高于对照组。对蓄意攻击来说,当移除特定的节点时,患者组SCN的相对大小显著低于对照组(P值均<0.05)。结论联合VBM和SCN分析能够揭示无神经心理障碍的MHD患者脑灰质结构的重组特点,能为理解MHD患者早期脑损害机制提供新的视角。
Objective:To explore changes characteristics in the gray matter volume(GMV)and structural covariant network(SCN)in maintenance hemodialysis(MHD)patients without neuropsychological disorder.Materials and Methods:The 3D-T1 structural images of 23 MHD patients without neuropsychological disorder and 23 healthy controls(HC)were collected.The GMV of each participant was extracted from T1 structural images,and then the SCN based on group level was calculated according to the GMV of each participant.The group differences in the GMV and SCN related parameters were compared.Results:Compared with HC,the patient group showed a significantly lower GMV in the right amygdala(P<0.05,family wise error corrected).This lower GMV in patient group has no significant correlation with scores of cognition,anxiety,and depression.Two parameters at global level including the clustering coefficient(P=0.011)and local efficiency(P=0.003)were significantly higher in the patient group than in HC.To targeted attacks,when removing several specific nodes,the relative sizes of SCN in patient group was significantly higher than that of HC(all P<0.05).Conclusions:The combination of VBM and SCN analysis revealed the characteristics of reorganization of brain gray matter structure in MHD patients without neuropsychological disorder,and provide a novel perspective for understanding the mechanism of early brain damage in MHD patients.
作者
张谍
陈影影
沈晶
谢青
敬丽
林琳
都丽娜
伍建林
ZHANG Die;CHEN Yingying;SHEN Jing;XIE Qing;JING Li;LIN Lin;DU Lina;WU Jianlin(Department of Radiology,Affiliated Zhongshan Hospital of Dalian University,Dalian 116001,China;Department of Radiology,Shenzhen Third People's Hospital,Shenzhen 518000,China;Department of Radiology,Cancer Hospital&Shenzhen Hospital,Shenzhen 518116,China)
出处
《磁共振成像》
CAS
CSCD
北大核心
2022年第12期64-68,80,共6页
Chinese Journal of Magnetic Resonance Imaging
基金
大连市科技创新基金(编号:2021JJ12SN38)。
关键词
终末期肾病
维持性血液透析
灰质体积
结构协变网络
脑结构
脑损伤
磁共振成像
end-stage renal disease
maintenance hemodialysis
gray matter volume
structural covariant network
brain structure
brain impairment
magnetic resonance imaging
