Cellular and network mechanisms of slow oscillatory activity (<1 Hz) and wave propagations in a cortical network model

Cellular and network mechanisms of slow oscillatory activity (<1 Hz) and wave propagations in a cortical network model
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DOI:
10.1152/jn.00845.2002
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发表时间:
2003-05-01
影响因子:
2.5
通讯作者:
Wang, XJ
Wang, XJ
中科院分区:
医学3区
文献类型:
--
作者:
Compte, A;Sanchez-Vives, MV;Wang, XJ

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在慢波睡眠或麻醉下,当选择浴溶液以更紧密模仿脑脊液时,在体内观察到缓慢的振荡活性(<1 Hz)。在这里,我们提出了一个生物物理网络模型,用于在体外观察到的缓慢振荡,该模型在控制和药理操作中重现了单个神经元行为和集体网络射击模式。神经元的膜电位在下降状态和向上状态之间缓慢振荡(<1 Hz)。向上状态通过强烈的复发激发通过抑制平衡,而向下状态的过渡是由于缓慢的适应电流(Na+依赖性K+电流)。与体内数据一致,平均而言,模型神经元的输入电阻是下降状态末端的最大值,并且在UP状态的初始阶段最小。活性波是由少数神经元中的自发尖峰放电引发的,并以3-8 mm/s的对照和20-50 mm/s的速度在整个网络上传播,并具有抑制阻滞。我们的工作表明,远距离兴奋性斑点连接对这种波传播显着贡献。最后,我们使用该模型表明,神经调节的各种已知生理效应可以将网络切换到滋补剂,从而模拟了向清醒状态的过渡。
Slow oscillatory activity (< 1 Hz) is observed in vivo in the cortex during slow-wave sleep or under anesthesia and in vitro when the bath solution is chosen to more closely mimic cerebrospinal fluid. Here we present a biophysical network model for the slow oscillations observed in vitro that reproduces the single neuron behaviors and collective network firing patterns in control as well as under pharmacological manipulations. The membrane potential of a neuron oscillates slowly (at < 1 Hz) between a down state and an up state; the up state is maintained by strong recurrent excitation balanced by inhibition, and the transition to the down state is due to a slow adaptation current (Na+-dependent K+ current). Consistent with in vivo data, the input resistance of a model neuron, on average, is the largest at the end of the down state and the smallest during the initial phase of the up state. An activity wave is initiated by spontaneous spike discharges in a minority of neurons, and propagates across the network at a speed of 3-8 mm/s in control and 20-50 mm/s with inhibition block. Our work suggests that long-range excitatory patchy connections contribute significantly to this wave propagation. Finally, we show with this model that various known physiological effects of neuromodulation can switch the network to tonic firing, thus simulating a transition to the waking state.