目的利用静息态功能磁共振成像(functional magnetic resonance imaging,fMRI)和图论分析方法,探究酒精依赖患者网络拓扑结构的变化。方法采集12例健康对照者和13例酒精依赖患者的静息态功能磁共振图像数据并对数据进行预处理操作和构...目的利用静息态功能磁共振成像(functional magnetic resonance imaging,fMRI)和图论分析方法,探究酒精依赖患者网络拓扑结构的变化。方法采集12例健康对照者和13例酒精依赖患者的静息态功能磁共振图像数据并对数据进行预处理操作和构建脑网络。通过图论分析方法获得大脑网络的拓扑属性,使用非参数置换检验比较两组网络属性曲线下面积的变化,将有差异的网络属性与酒精依赖量表(alco-hol dependence scale,ADS)进行Spearman相关性分析。结果两组在全局属性中差异无统计学意义。与健康对照者相比,酒精依赖患者在右侧枕下回、梭状回、左侧角回脑区的节点效率明显下降。此外,酒精依赖患者右侧海马旁回脑区的节点聚类系数明显降低,而在左侧楔叶、左侧枕下回、右侧中央后回、左侧顶上回脑区聚类系数显著增强。结论酒精依赖患者大脑网络拓扑结构已经发生改变。节点属性的增强与减弱,间接反映了大脑局部网络的异常性。展开更多
目的应用同步脑电-功能磁共振成像技术(electroencephalography-functional magnetic resonance imaging,EEG-fMRI),探讨1型发作性睡病(narcolepsy type 1,NT1)患者非快速眼动(non-rapid eye movement,NREM)睡眠状态下脑功能网络的连通...目的应用同步脑电-功能磁共振成像技术(electroencephalography-functional magnetic resonance imaging,EEG-fMRI),探讨1型发作性睡病(narcolepsy type 1,NT1)患者非快速眼动(non-rapid eye movement,NREM)睡眠状态下脑功能网络的连通性和拓扑特性,探讨其与认知行为的关系。材料与方法对25例NT1患者和25例年龄匹配的健康对照组进行北京版蒙特利尔认知评估(The Beijing version of the Montreal Cognitive Assessment,MoCA-BJ)和EEG-fMRI扫描。所有受试者首先进行夜间多导睡眠图(nocturnal polysomnogram,nPSG)研究,计算总睡眠时间(total sleep time,TST)、各睡眠阶段占总睡眠时间百分比(TST%)和觉醒指数。采用Epworth嗜睡量表(Epworth Sleepiness Score,ESS)衡量白天的嗜睡程度。并在睡眠状态下对所有被试进行同步EEG-fMRI扫描。应用MoCA-BJ量表评估所有被试认知功能。利用EEG数据进行睡眠分期,基于fMRI数据建立被试睡眠状态下的全脑功能连接网络,使用图论方法分析网络的拓扑特征。比较各组之间拓扑参数的差异,并用相关分析方法分析脑网络拓扑特性与MoCA-BJ量表的关系。结果与对照组比较,NT1组的MOCA-BJ评分降低;而且NT1 NREM 2期睡眠期(N2)全脑全局效率以及小世界性均明显降低。NT1组的全脑功能网络的整体效率与MoCA-BJ评分显著相关(r=-0.589,P=0.002)。结论NT1患者在N2期睡眠状态下脑功能网络的网络拓扑属性异常与其认知障碍相关。展开更多
Background： Most previous neuroimaging studies have focused on the structural and functional abnormalities of local brain regions in major depressive disorder （MDD）. Moreover, the exactly topological organization o...Background： Most previous neuroimaging studies have focused on the structural and functional abnormalities of local brain regions in major depressive disorder （MDD）. Moreover, the exactly topological organization of networks underlying MDD remains unclear. This study examined the aberrant global and regional topological patterns of the brain white matter networks in MDD patients. Methods： The diffusion tensor imaging data were obtained from 27 patients with MDD and 40 healthy controls. The brain fractional anisotropy-weighted structural networks were constructed, and the global network and regional nodal metrics of the networks were explored by the complex network theory. Results： Compared with the healthy controls, the brain structural network of MDD patients showed an intact small-world topology, but significantly abnormal global network topological organization and regional nodal characteristic of the network in MDD were found. Our findings also indicated that the brain structural networks in MDD patients become a less strongly integrated network with a reduced central role of some key brain regions. Conclusions： All these resulted in a less optimal topological organization of networks underlying MDD patients, including an impaired capability of local information processing, reduced centrality of some brain regions and limited capacity to integrate information across different regions. Thus, these global network and regional node-level aberrations might contribute to understanding the pathogenesis of MDD from the view of the brain network.展开更多
文摘目的应用同步脑电-功能磁共振成像技术(electroencephalography-functional magnetic resonance imaging,EEG-fMRI),探讨1型发作性睡病(narcolepsy type 1,NT1)患者非快速眼动(non-rapid eye movement,NREM)睡眠状态下脑功能网络的连通性和拓扑特性,探讨其与认知行为的关系。材料与方法对25例NT1患者和25例年龄匹配的健康对照组进行北京版蒙特利尔认知评估(The Beijing version of the Montreal Cognitive Assessment,MoCA-BJ)和EEG-fMRI扫描。所有受试者首先进行夜间多导睡眠图(nocturnal polysomnogram,nPSG)研究,计算总睡眠时间(total sleep time,TST)、各睡眠阶段占总睡眠时间百分比(TST%)和觉醒指数。采用Epworth嗜睡量表(Epworth Sleepiness Score,ESS)衡量白天的嗜睡程度。并在睡眠状态下对所有被试进行同步EEG-fMRI扫描。应用MoCA-BJ量表评估所有被试认知功能。利用EEG数据进行睡眠分期,基于fMRI数据建立被试睡眠状态下的全脑功能连接网络,使用图论方法分析网络的拓扑特征。比较各组之间拓扑参数的差异,并用相关分析方法分析脑网络拓扑特性与MoCA-BJ量表的关系。结果与对照组比较,NT1组的MOCA-BJ评分降低;而且NT1 NREM 2期睡眠期(N2)全脑全局效率以及小世界性均明显降低。NT1组的全脑功能网络的整体效率与MoCA-BJ评分显著相关(r=-0.589,P=0.002)。结论NT1患者在N2期睡眠状态下脑功能网络的网络拓扑属性异常与其认知障碍相关。
基金The work was supported by the grants from:The National High-tech Research and Development Program of China，the National Natural Science Foundation of China，the Clinical Medicine Technology Foundation of Jiangsu Province，the Natural Science Foundation of Jiangsu Province，State Key Clinical Specialty，Provincial Medical Key Discipline
文摘Background： Most previous neuroimaging studies have focused on the structural and functional abnormalities of local brain regions in major depressive disorder （MDD）. Moreover, the exactly topological organization of networks underlying MDD remains unclear. This study examined the aberrant global and regional topological patterns of the brain white matter networks in MDD patients. Methods： The diffusion tensor imaging data were obtained from 27 patients with MDD and 40 healthy controls. The brain fractional anisotropy-weighted structural networks were constructed, and the global network and regional nodal metrics of the networks were explored by the complex network theory. Results： Compared with the healthy controls, the brain structural network of MDD patients showed an intact small-world topology, but significantly abnormal global network topological organization and regional nodal characteristic of the network in MDD were found. Our findings also indicated that the brain structural networks in MDD patients become a less strongly integrated network with a reduced central role of some key brain regions. Conclusions： All these resulted in a less optimal topological organization of networks underlying MDD patients, including an impaired capability of local information processing, reduced centrality of some brain regions and limited capacity to integrate information across different regions. Thus, these global network and regional node-level aberrations might contribute to understanding the pathogenesis of MDD from the view of the brain network.
