Coalescence and fragmentation of cortical networks during focal seizures.
Coalescence and fragmentation of cortical networks during focal seizures.
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DOI：
10.1523/jneurosci.6309-09.2010
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发表时间：
2010-07-28
期刊：
影响因子：
--
通讯作者：
Cash SS
中科院分区：
文献类型：
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作者：
Kramer MA;Eden UT;Kolaczyk ED;Zepeda R;Eskandar EN;Cash SS
癫痫发作反映了一种以特定的临床和电学表现为特征的病理脑状态。提出的机制是不同的，但通过假设癫痫活动在多个尺度上是超同步的而统一的。然而，对空间和整个发作期的癫痫发作动力学进行原则性和定量的分析还很少见。为了更全面地探索癫痫发作期间的时空相互作用，我们检查了一组男性和女性人类癫痫患者的皮层脑电(ECoG)数据，并根据这些数据使用统计稳健的测量方法构建了动态网络表示。我们发现，在癫痫发作过程中，这些网络通过一个明显的拓扑级数进化。令人惊讶的是，总体同步只有微弱的变化，而拓扑在组织上发生了巨大的变化。在癫痫发作开始和终止之前，一个大的子网络主导着网络结构，但在两者之间分裂成更小的组。对于一组受试者来说，共同的网络特征表现得始终如一，对于每个受试者，从癫痫发作到癫痫发作，相似的网络出现了。这些结果表明，在宏观空间尺度上，癫痫与其说是超同步性的表现，不如说是网络重组。
Epileptic seizures reflect a pathological brain state characterized by specific clinical and electrical manifestations. The proposed mechanisms are heterogeneous but united by the supposition that epileptic activity is hypersynchronous across multiple scales. Yet, principled and quantitative analyses of seizure dynamics across space and throughout the entire ictal period are rare. To more completely explore spatiotemporal interactions during seizures, we examined electrocorticogram (ECoG) data from a population of male and female human patients with epilepsy and from these data constructed dynamic network representations using statistically robust measures. We found that these networks evolved through a distinct topological progression during the seizure. Surprisingly, the overall synchronization changed only weakly while the topology changed dramatically in organization. A large subnetwork dominated the network architecture at seizure onset and preceding termination, but in between fractured into smaller groups. Common network characteristics appeared consistently for a population of subjects and, for each subject, similar networks appeared from seizure to seizure. These results suggest that, at the macroscopic spatial scale, epilepsy is not so much a manifestation of hypersynchrony but instead of network reorganization.