摘要
在癫痫病诊断问题的研究中,利用脑电(EEG)和功能磁共振(fMRI)对各类癫痫患者的脑功能连通性进行了治疗的研究,取得了很大的进展,但研究都没有深入探讨癫痫放电的幅度与数量对功能连通性的影响。为解决上述问题,通过仿真各种数量和幅度的痫性放电情况,把放电引起的血氧动力学(BOLD)变化的信号叠加到相应脑区,利用计算脑区之间的BOLD信号的相关系数来考察功能连通性的变化情况。结果表明,痫性放电的数量和幅度对脑网络的功能连通性都有显著的影响,因而在今后研究癫痫患者的脑功能网络时应考虑上述放电所带来的影响。
In recent years, electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) were widely utilized to investigate brain functional connectivity in various types of epilepsy patiems, and much pro- gress had been made. However, no researched explored deeply how the number and amplitude of epileptic discharges influence on functional connectivity. In this paper, various numbers and magnitude of epileptic discharges were simu- lated, and then blood oxygen level dependent (BOLD) signal caused by the discharges was superimposed to brain re- gions. Correlation coefficients between regions were calculated to assess the functional connectivity. The results show that the number and amplitude of epileptic discharge have a significant impact on brain functional connectivity, so the future study of brain function network in epilepsy patients should consider the influence of epileptic discharges.
出处
《计算机仿真》
CSCD
北大核心
2014年第3期252-255,294,共5页
Computer Simulation
基金
自然科学基金项目(81100974)
四川省教育厅科研项目(12ZB230)
关键词
功能磁共振
脑电
痫性放电
功能连通性
时域相关
fMRI
EEG
Epileptic discharge
Functional connectivity
Temporal correlation