摘要
目的利用静息态功能磁共振成像构建脑网络，分析脑震荡和弥漫性轴索损伤患者脑网络的小世界性及其网络参数的差异。方法前瞻性收集2013年12月至2015年12月中国人民解放军武汉总医院神经外科收治的13例脑震荡患者（脑震荡组）和9例弥漫性轴索损伤患者（弥漫性轴索损伤组），同期纳入14名健康对照者（对照组）。采集3组的静息态功能磁共振成像数据，预处理后以AAL90和Dosenbach160模板标记脑区，计算脑区间相关系数，评估其小世界性，并比较3组受试者网络参数的差异。结果在阈值内，脑震荡组、弥漫性轴索损伤组以及对照组的脑网络均符合小世界性。与对照组相比，脑震荡组的聚类系数、全局效率、局部效率以及平均连接度均增加（均P〈0.05），弥漫性轴索损伤组的聚类系数、全局效率、局部效率以及平均连接度均降低（均P〈0.05）。结论脑震荡组和弥漫性轴索损伤组的脑网络皆有小世界性，但脑网络的聚类系数、全局效率、局部效率以及平均连接度均有变化，可能为脑功能代偿或失代偿所致。
Objective To analyze the properties and difference of small world network in patients with concussion and diffuse axonal injury by resting-state functional MRI （rs-fMRI）. Methods A prospective study was conducted, in which 13 patients with brain concussion and 9 patients with diffuse axonal injury were admitted to Neurosurgery Department of Wuhan General Hospital of PLA from December 2013 to December 2015, and 14 healthy people were set as controls. The rs-fMRI data in those 3 groups were collected and preprocessed. Brain areas were labeled by AAL90 and Dosenbachl60. The correlation coefficients of the brain regions were calculated. The small world was assessed and network parameters were compared between the 3 groups. Results The brain network of patients with brain concussion, diffuse axonal injury and normal subjects were in line with the characteristics of small world. Compared with controls, a higher situation of clustering coefficient, global efficiency, local efficiency and average connectivity degree （ all P 〈 0.05 ） were presented in patients with brain concussion and the same parameters were lower （ all P 〈 0.05 ） in patients with diffuse axonal injury. Conclusion The patients with brain concussion and diffuse axonal injury both have small world networks, but the parameters might vary, which could be due to compensation or decompensation of brain functions.
出处
《中华神经外科杂志》
CSCD
北大核心
2017年第6期554-558,共5页
Chinese Journal of Neurosurgery
基金
国家自然科学基金（81400865）
全军医学科技“十二五”科研重点项目（BWS11J066）
关键词
脑震荡
弥漫性轴索损伤
磁共振成像
功能性
脑功能网络
小世界
Brain concussion
Diffuse axonal injury
Magnetic resonance imaging, functional
Brain functional network
Small world
