期刊
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE
卷 2018, 期 -, 页码 -出版社
HINDAWI LTD
DOI: 10.1155/2018/1354915
关键词
-
资金
- Key Basic Research Project of Science and Technology Commission of Shanghai [13DJ1400303]
Epilepsy has been considered as a network-level disorder characterized by recurrent seizures, which result from network re-organization with evolution of synchronization. In this study, the brain networks were established by calculating phase synchronization based on electrocorticogram (ECoG) signals from eleven refractory epilepsy patients. Results showed that there was a significant increase of synchronization prior to seizure termination and no significant difference of the transitions of network states among the preseizure, seizure, and postseizure periods. Those results indicated that synchronization might participate in termination of seizures, and the network states transitions might not dominate the seizure evolution.
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