突触和细胞对癫痫发作时复合脑电图信号的影响*

Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005. Pub Date : 2005-03-16 DOI:10.1109/CNE.2005.1419602

P. Kudela, P. Franaszczuk, G. Bergey

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引用次数: 3

摘要

我们利用神经网络模型来识别突触、细胞和膜行为对癫痫脑电图特征和构成的潜在影响。在这些网络模型中，计算网络中神经元的平均膜电位，同时模拟该网络中的癫痫样活动。我们的研究结果表明，癫痫活动可能引发突触效能的变化，并改变膜的兴奋性。这些改变有助于模拟平均膜电位信号中观察到的频率变化模式。我们认为这些因素可能会影响癫痫发作动态，并有助于人类的临界脑电图模式

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Synaptic and Cellular Influences on the Composite EEG Signal During Seizures*

We utilize neuronal network models to identify the potential effects of the synaptic, cellular, and membrane behaviors on the characteristics and the composites of epileptic EEG. In these network models the average membrane potential of neurons in a network is calculated while epileptiform activity in this network is simulated. Our results suggest that seizure activity may trigger changes in synaptic efficacy and alter membrane excitability. These alterations contribute to the pattern of frequency changes observed in simulated average membrane potential signal. We suggest that these factors may influence seizure dynamics and contribute to the ictal EEG pattern in humans

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Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.

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