摘要
目的基于静息态功能磁共振(rs-fMRI)技术采用图论分析方法研究阻塞性睡眠呼吸暂停(OSA)患者功能脑网络的拓扑属性改变。方法搜集未经治疗的男性重度OSA患者及正常睡眠组(GS组)各45例并采集被试的多导睡眠监测、临床量表评分及rs-fMRI数据。采用AAL模板构建功能脑网络,通过图论方法比较功能脑网络的整体和局部网络拓扑属性,并分析拓扑属性与临床变量之间的关系。结果 OSA及GS组均存在高效的'小世界'网络属性。然而OSA患者小世界指数(σ),标准化聚类系数(γ),整体效率(Eglob)值显著减低,最短路径长度(Lp),标准化最短路径长度(λ)值显著增高,且部分默认网络(DMN)、突显网络(SN)和中央执行网络(CEN)脑区节点中心性受损。OSA患者整体网络属性与爱泼沃斯嗜睡量表(ESS)评分、蒙特利尔认知量表(MoCA)评分和血氧饱和度显著相关。结论虽然OSA患者功能脑网络具有'小世界'属性,但其功能整合和功能分离受损,且部分DMN、SN和CEN脑区的节点中心性存在异常破坏。OSA患者功能脑网络的拓扑属性异常可能是认知功能障碍的潜在生物学标志。
Objective We aimed to use the graph theory approaches to investigate the topological properties of the functional brain network in patients with OSA based on resting-state functional magnetic resonance imaging.Methods Fortyfive male patients with untreated severe male obstructive sleep apnea(OSA)and 45 male good sleepers(GSs)underwent a polysomnography,clinical evaluations and rs-fMRI scans.We used the AAL atlas to construct the functional brain network.The global and regional network measures of the functional brain networks were compared by graph theoretical approaches,and investigated the relationship between the topological attribute and clinical variables.Results Both the patients with OSA and the GSs exhibited high-efficiency'small-world'network attributes.However,the patients with OSA exhibited decreasedσ,γ,Eglob;increased Lp,λ;and abnormal nodal centralities in several DMN,SN and CEN regions.The global network metrics were significantly correlated with the ESS score,MoCA score,and oxygen desaturation index in patients with OSA.Conclusion OSA patients showed'small-world'attribute in functional brain network,while exhibiting disrupted functional integration and segregation and abnormal nodal centralities in the DMN,SN and CEN regions.These topological abnormalities of the functional brain network might be potential biomarkers of cognitive impairments in patients with OSA.
作者
陈立婷
彭德昌
李海军
叶成龙
余宏辉
辛会珍
CHEN Liting;PENG Dechang;LI Haijun(The First Affiliated Hospital of Nanchang University,Nanchang 330006,P.R.China)
出处
《临床放射学杂志》
CSCD
北大核心
2019年第6期954-959,共6页
Journal of Clinical Radiology
基金
国家自然科学基金项目(编号:81560285)
江西省创新课题自然基金项目(编号:YC2016-S100)
江西省教育厅基金项目(编号:700544006)
江西省自然科学基金项目(编号:20171BAB205070)
