Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, VU University Amsterdam, Amsterdam, The Netherlands.
PLoS Comput Biol. 2012;8(8):e1002666. doi: 10.1371/journal.pcbi.1002666. Epub 2012 Aug 30.
Electrical oscillations in neuronal network activity are ubiquitous in the brain and have been associated with cognition and behavior. Intriguingly, the amplitude of ongoing oscillations, such as measured in EEG recordings, fluctuates irregularly, with episodes of high amplitude alternating with episodes of low amplitude. Despite the widespread occurrence of amplitude fluctuations in many frequency bands and brain regions, the mechanisms by which they are generated are poorly understood. Here, we show that irregular transitions between sub-second episodes of high- and low-amplitude oscillations in the alpha/beta frequency band occur in a generic neuronal network model consisting of interconnected inhibitory and excitatory cells that are externally driven by sustained cholinergic input and trains of action potentials that activate excitatory synapses. In the model, we identify the action potential drive onto inhibitory cells, which represents input from other brain areas and is shown to desynchronize network activity, to be crucial for the emergence of amplitude fluctuations. We show that the duration distributions of high-amplitude episodes in the model match those observed in rat prefrontal cortex for oscillations induced by the cholinergic agonist carbachol. Furthermore, the mean duration of high-amplitude episodes varies in a bell-shaped manner with carbachol concentration, just as in mouse hippocampus. Our results suggest that amplitude fluctuations are a general property of oscillatory neuronal networks that can arise through background input from areas external to the network.
神经元网络活动中的电振荡在大脑中普遍存在,并与认知和行为有关。有趣的是,持续振荡的幅度,如脑电图记录中测量的,不规则地波动,高幅度的爆发与低幅度的爆发交替出现。尽管在许多频带和脑区都广泛存在幅度波动,但它们产生的机制仍知之甚少。在这里,我们表明,在由相互连接的抑制性和兴奋性细胞组成的通用神经元网络模型中,alpha/beta 频带中的亚秒级高幅度和低幅度振荡的不规则转换发生在由持续的胆碱能输入和激活兴奋性突触的动作电位串外部驱动的情况下。在该模型中,我们确定了动作电位驱动到抑制性细胞,这代表来自其他脑区的输入,并被证明可以使网络活动去同步化,这对于幅度波动的出现至关重要。我们表明,模型中高幅度爆发的持续时间分布与大鼠前额叶皮层中由胆碱能激动剂 carbachol 诱导的振荡观察到的分布相匹配。此外,高幅度爆发的平均持续时间以钟形方式随 carbachol 浓度变化而变化,就像在小鼠海马体中一样。我们的结果表明,幅度波动是振荡神经元网络的普遍特性,它可以通过来自网络外部区域的背景输入产生。