基于静息态脑功能网络特征的额叶癫痫评价基础研究

Fundamental Study on Evaluation of Frontal Lobe Epilepsy Based on Characteristics of Resting-State Brain Functional Network

目的本文旨在利用静息态功能磁共振成像技术,对额叶癫痫(Frontal Lobe Epilepsy,FLE)影响下的脑功能网络特征进行分析,寻找可能的FLE脑损伤客观评价指标。方法利用图论分析方法中的边、节点度、节点效率和介数中心度参数,获得患者组和对照组的这些参数计算结果并进行两样本t检验,分析FLE影响下的脑功能网络变化特征,并进一步研究这种变化特征与发作频率和病程之间的相关性。结果FLE患者组与对照组相比,边、节点度、节点效率和介数中心度参数均有重要统计学差异结果,且发现差异结果中与发作频率和病程存在一定的相关性。结论基于图论分析方法的静息态脑功能网络特征参数有可能作为FLE的评估指标,为FLE的评价提供依据。

Objective The purpose of this paper was to analyze the characteristics of brain functional network under the influence of frontal lobe epilepsy by resting-state functional magnetic resonance imaging,and to find out the possible evaluation index of brain damage in frontal lobe epilepsy.Methods Typical parameters in graph theory analysis were obtained,including edges,node degree,node efficiency and betweenness centrality.Two-sample t test was carried out for the results in patients with frontal lobe epilepsy and normal controls.The changes of brain functional network under the influence of frontal lobe epilepsy were analyzed to provide evidence for evaluating frontal lobe epilepsy.The correlation analysis of the characteristics with seizure duration and frequency was further conducted.Results Compared with the control group,the frontal lobe epilepsy patients had significant statistical results in the parameters of edge,nodal degree,nodal efficiency and betweenness centrality.Moreover,we found that there were correlations between the results and the frequency and duration of epilepsy.Conclusion The characteristics of resting-state brain functional network based on graph theory analysis may be used as an evaluation index of frontal lobe epilepsy and provide a basis for the evaluation of frontal lobe epilepsy.