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Phase-amplitude coupling an indication of bursting in parkinsonism is masked by periodic pulses

机译:相位脉冲耦合掩盖了相位振幅耦合这表示帕金森氏病突然发作

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摘要

Interactions between neural oscillations in the brain have been observed in many structures including the hippocampus, amygdala, motor cortex, and basal ganglia. In this study, one popular approach for quantifying oscillation interactions was considered: phase-amplitude coupling. The goals of the study were to use simulations to examine potential causes of elevated phase-amplitude coupling in parkinsonism, to compare simulated parkinsonian signals with recorded local field potentials from animal models of parkinsonism, to investigate possible relationships between increased bursting in parkinsonian single cells and elevated phase-amplitude coupling, and to uncover potential noise and artifact effects. First, a cell model that integrates incremental input currents and fires at realistic voltage thresholds was modified to allow control of stochastic parameters related to firing and burst rates. Next, the input currents and distribution of integration times were set to reproduce firing patterns consistent with those from parkinsonian subthalamic nucleus cells. Then, local field potentials were synthesized from the output of multiple simulated cells with varying degrees of synchronization and compared with subthalamic nucleus recordings from animal models of parkinsonism. The results showed that phase-amplitude coupling can provide important information about underlying neural activity. In particular, signals synthesized from synchronized bursting neurons showed increased oscillatory interactions similar to those observed in parkinsonian animals. Additionally, changes in bursting parameters such as the intraburst rate, the mean interburst period, and the amount of synchronization between neurons influenced the phase-amplitude coupling in predictable ways. Finally, simulation results revealed that small periodic signals can have a surprisingly large masking effect on phase-amplitude coupling.
机译:已经在包括海马,杏仁核,运动皮层和基底神经节在内的许多结构中观察到了大脑神经振荡之间的相互作用。在这项研究中,考虑了一种量化振荡相互作用的流行方法:相位-幅度耦合。这项研究的目的是使用模拟来检查帕金森氏症中相位振幅耦合升高的潜在原因,将模拟的帕金森氏信号与记录的帕金森氏症动物模型的局部场电位进行比较,以调查帕金森氏症单细胞爆裂和增强的相位幅度耦合,并发现潜在的噪声和伪影效应。首先,修改了集成增量输入电流和实际电压阈值下的点火的单元模型,以允许控制与点火和突发速率有关的随机参数。接下来,设置输入电流和积分时间分布,以重现与帕金森氏丘脑下丘脑核细胞一致的放电模式。然后,从多个具有不同同步程度的模拟细胞的输出中合成了局部电场电位,并将其与帕金森氏症动物模型的丘脑下丘脑核素记录进行了比较。结果表明,相幅耦合可以提供有关潜在神经活动的重要信息。特别地,从同步爆发的神经元合成的信号显示出增加的振荡相互作用,类似于在帕金森氏症动物中观察到的。此外,爆发参数的变化(如突发速率,平均突发周期和神经元之间的同步量)以可预测的方式影响了相位-幅度耦合。最后,仿真结果表明,小的周期性信号对相位-幅度耦合可能具有惊人的大屏蔽效果。

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