Inhomogeneous cortical synchronization and partial epileptic seizures

被引:5
|
作者
Vega-Zelaya, Lorena [1 ]
Eduardo Pastor, Jesus [1 ,2 ]
de Sola, Rafael G. [2 ,3 ]
Ortega, Guillermo J. [2 ,3 ]
机构
[1] Hosp Univ Princesa, Clin Neurophysiol Serv, Madrid, Spain
[2] Fdn Invest Biomed Hosp Princesa, Madrid, Spain
[3] Hosp Univ Princesa, Neurosurg Serv, Diego de Leon 62,7th Floor, Madrid 28006, Spain
来源
FRONTIERS IN NEUROLOGY | 2014年 / 5卷
关键词
ECoG; synchronization; temporal lobe epilepsy; clusters; REGIONAL HOMOGENEITY; NEURAL NETWORKS; BRAIN ACTIVITY; CONNECTIVITY; CLUSTERS; ONSET;
D O I
10.3389/fneur.2014.00187
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Objective: Interictal synchronization clusters have recently been described in several publications using diverse techniques, including neurophysiological recordings and fMRI, in patients suffering from epilepsy. However, little is known about the role of these hyper synchronous areas during seizures. In this work, we report an analysis of synchronization clusters jointly with several network measures during seizure activity; we then discuss our findings in the context of prior literature. Methods: Subdural activity was recorded by electrocorticography (with 60 electrodes placed at temporal and parietal lobe locations) in a patient with temporal lobe epilepsy with partial seizures with and without secondary generalization (SG). Both interictal and ictal activities (during four seizures) were investigated and characterized using local synchronization and complex network methodology. The modularity, density of links, average clustering coefficient, and average path lengths were calculated to obtain information about the dynamics of the global network. Functional connectivity changes during the seizures were compared with the time evolution of highly synchronized areas. Results: Our findings reveal temporal changes in local synchronization areas during seizures and a tight relationship between the cortical locations of these areas and the patterns of their evolution over time. Seizure evolution and SG appear to be driven by two different underlying mechanisms.
引用
收藏
页数:11
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