摘要
现代理论认为,内侧颞叶是颞叶癫痫的主要癫痫源,内、外侧颞叶均参与了颞叶癫痫活动,但其关系尚未明了。文章作者利用动态因果模型(dynamic causal modeling,DCM)研究内、外侧颞叶在颞叶癫痫中的作用,将间期痫样活动作为对设计模型的扰动,贝叶斯估计法评估DCM模型的各参数值,通过贝叶斯因子选择最佳的设计模型,得出内侧颞叶与同侧外侧颞叶皮层之间的效应连接。发现内侧颞叶是癫痫活动的前级传导区域。
In the temporal lobe epilepsy, both mesial temporal lobe and temporal cortex were involved in the origins and spread of epileptiform activity. Dynamic causal modeling (DCM) was applied to study the important role of mesial temporal lobe in temporal lobe epilepsy, and the interictal epileptiform discharges (IEDs) read from EEG were used perturbations the models. DCM, in combination with bayesian estimation was used to evaluate the parameters among selected neurons, bayes factors were used to select the optimal model. Finally, the research conclusion of effective connectivity between mesial temporal lobe and temporal cortex was reached, and it was found that mesial temporal lobe was the front spread region of IEDs.
出处
《生物物理学报》
CAS
CSCD
北大核心
2009年第2期148-154,共7页
Acta Biophysica Sinica
基金
国家自然科学基金资助项目(30470510)~~
关键词
内侧颞叶
颞叶癫痫
动态因果模型
效应连接
Mesial temporal lobe
Temporal lobe epilepsy
Dynamic causal modeling
Effective connectivity