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Theta-Nested Gamma Oscillations in Next Generation Neural Mass Models

机译:下一代神经质量模型中的嵌套伽马振荡

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摘要

Theta-nested gamma oscillations have been reported in many areas of the brain and are believed to represent a fundamental mechanism to transfer information across spatial and temporal scales. In a series of recent experiments in vitro it has been possible to replicate with an optogenetic theta frequency stimulation several features of cross-frequency coupling (CFC) among theta and gamma rhythms observed in behaving animals. In order to reproduce the main findings of these experiments we have considered a new class of neural mass models able to reproduce exactly the macroscopic dynamics of spiking neural networks. In this framework, we have examined two set-ups able to support collective gamma oscillations: namely, the pyramidal interneuronal network gamma (PING) and the interneuronal network gamma (ING). In both set-ups we observe the emergence of theta-nested gamma oscillations by driving the system with a sinusoidal theta-forcing in proximity of a Hopf bifurcation. These mixed rhythms always display phase amplitude coupling. However, two different types of nested oscillations can be identified: one characterized by a perfect phase locking between theta and gamma rhythms, corresponding to an overall periodic behavior; another one where the locking is imperfect and the dynamics is quasi-periodic or even chaotic. From our analysis it emerges that the locked states are more frequent in the ING set-up. In agreement with the experiments, we find theta-nested gamma oscillations for forcing frequencies in the range [1:10] Hz, whose amplitudes grow proportionally to the forcing intensity and which are clearly modulated by the theta phase. Furthermore, analogously to the experiments, the gamma power and the frequency of the gamma-power peak increase with the forcing amplitude. At variance with experimental findings, the gamma-power peak does not shift to higher frequencies by increasing the theta frequency. This effect can be obtained, in our model, only by incrementing, at the same time, also the stimulation power. An effect achieved by increasing the amplitude either of the noise or of the forcing term proportionally to the theta frequency. On the basis of our analysis both the PING and the ING mechanism give rise to theta-nested gamma oscillations with almost identical features.
机译:θ-嵌套伽马振荡已有报道在大脑的许多区域,被认为代表一个基本的机制,以跨越空间和时间尺度传输信息。在一系列体外最近的实验的已经可以用交频耦合(CFC)的行为在动物中观察到theta和伽马节奏之中的光遗传THETA频率刺激若干特征进行复制。为了再现这些实验的主要结论我们已经考虑了一类新的神经大众车型的能够精确再现脉冲神经网络的宏观动态。在此框架下,我们研究了两种调校能够支持集体伽玛振荡:即金字塔元间网络伽玛(PING)和元间网络伽玛(ING)。在这两种调校,我们通过驱动系统与正弦THETA,迫使一个霍普夫分岔附近观察THETA嵌套伽玛振荡的出现。这些混合节律始终显示相位振幅耦合。然而,两种不同类型的嵌套振荡可以被识别:一个特征是theta和伽马节律之间的理想相位锁定,对应于总周期行为;另一个其中锁定不完善,动态是准周期或者甚至是混乱的。从我们的分析它出现的锁定状态是在ING的建立更加频繁。与实验一致,我们发现θ-嵌套伽马振荡迫使频率在范围[1:10]赫兹,那些幅度成比例地增长到迫使强度和其中由θ相清楚地调制。此外,类似于实验中,伽玛功率和伽玛功率峰增加与迫使振幅的频率。在与实验结果的方差,所述伽玛功率峰值不会通过增加的θ频率转移到更高的频率。能够获得这样的效果,在我们的模型中,只有通过增加,同时,也刺激动力。通过按比例或者增加的幅度的噪音强迫项的或到的θ频率实现的效果。在我们的分析中都PING和ING机制产生THETA嵌套伽马振荡几乎相同的功能的基础。

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