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生理参数演变对强直阵挛性癫痫发作动力学的影响。

Effects of physiological parameter evolution on the dynamics of tonic-clonic seizures.

机构信息

School of Physics, University of Sydney, Sydney, NSW, Australia.

Center for Integrative Brain Function, University of Sydney, Sydney, NSW, Australia.

出版信息

PLoS One. 2020 Apr 2;15(4):e0230510. doi: 10.1371/journal.pone.0230510. eCollection 2020.

Abstract

The temporal and spectral characteristics of tonic-clonic seizures are investigated using a neural field model of the corticothalamic system in the presence of a temporally varying connection strength between the cerebral cortex and thalamus. Increasing connection strength drives the system into ∼ 10 Hz seizure oscillations once a threshold is passed and a subcritical Hopf bifurcation occurs. In this study, the spectral and temporal characteristics of tonic-clonic seizures are explored as functions of the relevant properties of physiological connection strengths, such as maximum strength, time above threshold, and the ramp rate at which the strength increases or decreases. Analysis shows that the seizure onset time decreases with the maximum connection strength and time above threshold, but increases with the ramp rate. Seizure duration and offset time increase with maximum connection strength, time above threshold, and rate of change. Spectral analysis reveals that the power of nonlinear harmonics and the duration of the oscillations increase as the maximum connection strength and the time above threshold increase. A secondary limit cycle at ∼ 18 Hz, termed a saddle-cycle, is also seen during seizure onset and becomes more prominent and robust with increasing ramp rate. If the time above the threshold is too small, the system does not reach the 10 Hz limit cycle, and only exhibits 18 Hz saddle-cycle oscillations. It is also seen that the time to reach the saturated large amplitude limit-cycle seizure oscillation from both the instability threshold and from the end of the saddle-cycle oscillations is inversely proportional to the square root of the ramp rate.

摘要

研究了在大脑皮层和丘脑之间的连接强度随时间变化的情况下,使用皮质丘脑系统的神经场模型来研究强直阵挛性发作的时频特性。当达到阈值并且发生亚临界 Hopf 分岔时,增加连接强度会使系统驱动到约 10 Hz 的发作振荡。在这项研究中,作为生理连接强度的相关特性的函数,例如最大强度、超过阈值的时间以及强度增加或减少的斜率,探讨了强直阵挛性发作的频谱和时变特征。分析表明,发作起始时间随最大连接强度和超过阈值的时间而减小,但随斜率而增加。发作持续时间和结束时间随最大连接强度、超过阈值的时间和变化率而增加。频谱分析表明,非线性谐波的功率和振荡的持续时间随最大连接强度和超过阈值的时间增加而增加。在发作起始期间还观察到一个称为鞍点周期的二次极限环,并且随着斜率的增加变得更加突出和稳健。如果超过阈值的时间太短,系统就不会达到 10 Hz 的极限环,而只会表现出 18 Hz 的鞍点周期振荡。还可以看出,从不稳定性阈值和鞍点周期振荡结束到达饱和大振幅极限环发作振荡的时间与斜率的平方根成反比。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6dbe/7117716/5ba5feab31fe/pone.0230510.g001.jpg

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