目的:运用静息态功能磁共振探讨精神分裂症患者的脑网络及其拓扑属性。方法:收集the Center of Biomedical Research Excellence提供的35名精神分裂症患者资料作为患者组以及35名健康被试者资料作为对照组，计算两组的局部一致性，并进行统计学分析。然后使用Dosenbach's 160 atlas检查全脑功能网络，提取全脑网络的两个子网络:默认模式网络和躯体运动网络，构成一个新网络，计算全脑网络及新网络的拓扑属性。结果:精神分裂症患者大脑的默认模式网络与躯体运动网络之间及默认模式网络内部的功能连接存在显著减弱(P<0。05，FDR校正)，全脑网络聚集系数有所下降，默认模式网络与躯体运动网络构成的网络的全局和局部效率降低(P<0。05)。结论:精神分裂症患者默认模式网络与躯体运动网络之间及默认模式网络内部功能连接存在显著异常，默认模式网络与躯体运动网络之间拓扑属性的显著改变可能成为关键因素。此外，该结论可运用于默认模式网络与躯体运动网络对应的脑神经元随机微分方程组的定性分析，从而对精神分裂症的物理治疗有所帮助。
Analysis of resting-state functional brain network in schizophrenia patients based on graph theory
Objective To explore the brain network and its topological properties in schizophrenia patients using resting-state functional magnetic resonance imaging(rs-fMRI).Methods Thirty-five schizophrenia patients(patient group)and 35 healthy subjects(control group)from the Center of Biomedical Research Excellence were collected,and the regional homogeneities of the two groups were calculated for statistical analysis.Dosenbach's 160 atlas was used to examine the whole brain functional network,and extract two sub networks of the whole brain network(default mode network and somatic motor network)for constructing a new network.The topological properties of the whole brain network and the new network were calculated.Results In schizophrenia patients,the functional connectivity between default mode network and somatic motor network and that within the default mode networks were significantly weakened(P<0.05,FDR corrected);the clustering coefficient of the whole brain network was decreased;and the global and local efficiencies of the network composed of default mode network and somatic motor network were reduced(P<0.05).Conclusion Abnormal functional connectivity is found between default mode network and somatic motor network and within default mode network in schizophrenia patients,and the significant changes of topological properties between default mode network and somatic motor network may be the key factor.In addition,this conclusion can be applied to qualitative analysis of the brain neuron stochastic differential equations corresponding to default mode network and somatic motor network,which is helpful for the physical therapy for schizophrenia.
schizophreniaresting-state functional magnetic resonance imagingbrain networkgraph theory
NETL
NSTL
万方数据
