首页> 外文期刊>Network >Kernel duration and modulation gain in a coupled oscillator model and their implications on the progression of seizures
【24h】

Kernel duration and modulation gain in a coupled oscillator model and their implications on the progression of seizures

机译:耦合振荡器模型中的内核持续时间和调制增益及其对癫痫发作进程的影响

获取原文
获取原文并翻译 | 示例
       

摘要

The coupled oscillator model has previously been used for the simulation of neuronal activities in in vitro rat hippocampal slice seizure data and the evaluation of seizure suppression algorithms. Each model unit can be described as either an oscillator which can generate action potential spike trains without inputs, or a threshold-based unit. With the change' of only one parameter, each unit can either be an oscillator or a threshold-based spiking unit. This would eliminate the need of a new set of equations for each type of unit. Previous analysis has suggested that long kernel duration and imbalance of inhibitory feedback can cause the system to intermittently transition into and out of ictal activities. The state transitions of seizure-like events were investigated here; specifically, how the system excitability may change when the system underwent transitions in the preictal and postictal processes. Analysis showed that the area of the excitation kernel is positively correlated with the mean firing rate of ictal activity. The kernel duration is also correlated to the amount of ictal activity. The transition into ictal involved the escape from the saddle point foci in the state space trajectory identified using Newton's method.
机译:耦合振荡器模型先前已用于模拟体外大鼠海马切片癫痫发作数据的神经元活动和癫痫发作抑制算法的评估。每个模型单元都可以描述为一个振荡器,它可以生成没有输入的动作电位峰值序列,或者是基于阈值的单元。通过仅改变一个参数,每个单元可以是振荡器或基于阈值的尖峰单元。对于每种类型的单位,这将不需要新的方程组。先前的分析表明,较长的籽粒持续时间和抑制性反馈的不平衡会导致系统间歇性地过渡到发作状态或从发作状态过渡出来。在这里研究了癫痫样事件的状态转变。具体来说,当系统在发作前和发作后过程中发生转变时,系统的兴奋性可能会如何变化。分析表明,激发核的面积与激发活性的平均激发速率呈正相关。谷粒持续时间还与短暂的活动量相关。过渡到初始阶段涉及使用牛顿法从状态空间轨迹中的鞍点焦点逃脱。

著录项

  • 来源
    《Network》 |2012年第4期|59-75|共17页
  • 作者单位

    Biomedical Engineering, Louisiana Tech University, Ruston, LA, United States;

    Mathematics and Statistics, Louisiana Tech University, Ruston, LA, United States;

    Cell and Molecular Biology, Tulane University, New Orleans, LA, United States;

    Biomedical Engineering, Louisiana Tech University, Ruston, LA, United States;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    oscillations; network models; neural disorders;

    机译:振荡;网络模型;神经疾病;
  • 入库时间 2022-08-18 01:49:12

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号