Cross-frequency transfer in a stochastically driven mesoscopic neuronal model
Cross-frequency transfer in a stochastically driven mesoscopic neuronal model
复制标题
随机驱动介观神经元模型中的跨频传输
DOI：
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发表时间：
2015
影响因子：
3.2
通讯作者：
J. García
中科院分区：
文献类型：
--
作者：
M. Jedynak;Antonio J. Pons Rivero;J. García
众所周知，大脑在多个共存的频段工作。越来越多的实验证据表明，这些不同频段之间的相互作用在大脑过程中发挥着关键作用，但这种交叉频率耦合背后的动力学机制仍在研究中。已经提出了两种办法来解决这一问题。在第一种情况下，代表大脑节律的不同的非线性振荡器是主动(双向)耦合的，而在第二种情况下，振荡器是单向耦合的，因此它们之间的驱动是被动的。在这里，我们通过实现在阿尔法范围内运行的耦合神经质量模型的随机驱动网络来详细说明后一种方法。该模型呈现出1/fb形式的宽带功率谱，与实验观测到的结果类似。我们的结果表明，这样的模型能够重现最近关于慢摇对与睡眠相关的阿尔法活动影响的实验观察。这表明，被动驾驶可以解释大脑中的交叉频率转移，这是其潜在振荡器复杂的非线性动力学的结果。
The brain is known to operate in multiple coexisting frequency bands. Increasing experimental evidence suggests that interactions between those distinct bands play a crucial role in brain processes, but the dynamical mechanisms underlying this cross-frequency coupling are still under investigation. Two approaches have been proposed to address this issue. In the first one distinct nonlinear oscillators representing the brain rhythms involved are coupled actively (bidirectionally), whereas in the second one the oscillators are coupled unidirectionally and thus the driving between them is passive. Here we elaborate the latter approach by implementing a stochastically driven network of coupled neural mass models that operate in the alpha range. This model exhibits a broadband power spectrum with 1/fb form, similar to those observed experimentally. Our results show that such a model is able to reproduce recent experimental observations on the effect of slow rocking on the alpha activity associated with sleep. This suggests that passive driving can account for cross-frequency transfer in the brain, as a result of the complex nonlinear dynamics of its underlying oscillators.
影响因子：
15
作者：
Prakash, G. K. Surya;Wang, Fang;Olah, George A.
通讯作者：
Olah, George A.