基于格兰杰因果的精神分裂感觉门控P50脑网络研究  被引量:3

Study on Functional Brain Network of Schizophrenia P50 Sensory Gating based on Granger Causality

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作  者:祖红月 王索刚[1] 谭淑平[2] 

机构地区:[1]天津医科大学生物医学工程与技术学院,天津300070 [2]北京回龙观医院,北京100096

出  处:《航天医学与医学工程》2017年第3期203-207,共5页Space Medicine & Medical Engineering

基  金:国家自然科学基金(61175118);国家教育部留学回国人员科研启动基金(20111568);天津市自然科学基金(12JCYBJC19500);北京市自然科学基金(7162087)

摘  要:目的从多通道脑电的功能连接角度,研究精神分裂患者在感觉门控状态下的脑网络连接特性。方法采集10例精神分裂症患者和10例正常受试者的听觉条件测试范式下的脑电数据,利用基于频域格兰杰因果分析的定向传递函数计算各导联间的因果连接矩阵,构建出各频段的功能网络。计算每位受试者的信息流增益并运用图论的方法比较了两组间的差异。结果在high-beta和gamma频段,精神分裂组的DTF_(mean)显著高于对照组(P<0.001),精神分裂组的聚类系数显著高于对照组(high-beta,P<0.001;gamma,P<0.01),精神分裂组的全局效率显著高于对照组(P<0.001),精神分裂组的信息流增益与对照组相比存在差异。结论精神分裂患者在感觉门控过程中因果网络在high-beta和gamma频段存在着过连接现象,表明脑区间的连接出现异常。Objective To analyze the sensory gating state brain networks connectivity specificity of the schizophrenia from the functional connectivity of the multi-channel EEGs. Methods The study involved 10 chronic schizophrenics and 10 healthy controls and the condition-test stimuli paradigm was used. The Causal connection matrixes in delta, theta, alpha, low-beta, and high-beta and gamma band were calculated by the Directed Transform Function (DTF) based on the granger causality analysis. Thereafter the flow gain at different bands were calculated and discussed by using the graph theoretic parameters. Results In high-beta and gamma band, DTF ( P 〈 0. 001 ), the clustering coefficient ( high-beta, P 〈 0. 001 ; gamma, P 〈 0. 01 ), and the global efficiency (P 〈0. 001 ) were significantly higher in schizophrenia patients as compared with the control subjects. Moreover, there were significant differences in schizophrenia patient's flow gain as compared with the controls as well. Conclusion Schizophrenia patients exhibited over connection at high-beta and gamma band in the sensory gating state EEG, the result showed that the brain functional network of schizophrenia patients was impaired as compared with the control subjects.

关 键 词:精神分裂 格兰杰因果分析 定向传递函数 P50 感觉门控 信息流增益 

分 类 号:R318[医药卫生—生物医学工程]

 

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