A mean field model for movement induced changes in the beta rhythm.
A mean field model for movement induced changes in the beta rhythm.
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DOI：
10.1007/s10827-017-0655-7
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发表时间：
2017-10
影响因子：
1.2
通讯作者：
Coombes S
中科院分区：
文献类型：
--
作者：
Byrne Á;Brookes MJ;Coombes S
在大脑的电生理记录中，从高幅度信号到低幅度信号的转变很可能是由潜在神经元群体放电模式的同步性改变引起的。这种调节的经典例子是被称为运动相关β下降(MRBD)和运动后β反弹(PMBR)的强刺激相关振荡现象。在运动过程中观察到神经振荡能力急剧下降(MRBD)，随后在运动停止时高于基线(PMBR)。MRBD和PMBR是重要的神经科学现象，已被证明具有临床意义。在这里，我们提出了一个简约的模型，用于研究突触耦合的棘波网络中的同步动力学，该模型能够复制显示从MRBD到PMBR的人类脑磁图。重要的是，高维尖峰放电模型具有四个常微分方程式的精确平均场描述，这使得我们能够相当深入地了解实验观察到的从运动终止到PMBR开始的时间延迟(∼0.5 S)以及随后的PMBR(∼1−10 S)持续时间较长的原因。我们的模型代表了第一个预测这些通常观察到的和强大的现象，并代表了在健康和疾病方面理解它们的关键一步。
In electrophysiological recordings of the brain, the transition from high amplitude to low amplitude signals are most likely caused by a change in the synchrony of underlying neuronal population firing patterns. Classic examples of such modulations are the strong stimulus-related oscillatory phenomena known as the movement related beta decrease (MRBD) and post-movement beta rebound (PMBR). A sharp decrease in neural oscillatory power is observed during movement (MRBD) followed by an increase above baseline on movement cessation (PMBR). MRBD and PMBR represent important neuroscientific phenomena which have been shown to have clinical relevance. Here, we present a parsimonious model for the dynamics of synchrony within a synaptically coupled spiking network that is able to replicate a human MEG power spectrogram showing the evolution from MRBD to PMBR. Importantly, the high-dimensional spiking model has an exact mean field description in terms of four ordinary differential equations that allows considerable insight to be obtained into the cause of the experimentally observed time-lag from movement termination to the onset of PMBR (∼ 0.5 s), as well as the subsequent long duration of PMBR (∼ 1 − 10 s). Our model represents the first to predict these commonly observed and robust phenomena and represents a key step in their understanding, in health and disease.
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影响因子：
5.7
作者：
Brookes, M. J.;Liddle, E. B.;Morris, P. G.
通讯作者：
Morris, P. G.
影响因子：
--
作者：
Berger, H
通讯作者：
Berger, H
影响因子：
4.7
作者：
Alegre, M.;Alvarez-Gerriko, I.;Artieda, J.
通讯作者：
Artieda, J.
影响因子：
--
作者：
Izhikevich, EM
通讯作者：
Izhikevich, EM
影响因子：
1.9
作者：
ERMENTROUT, GB;KOPELL, N
通讯作者：
KOPELL, N