Hatch Robert J, Reid Christopher A, Petrou Steven
The Florey Institute of Neuroscience and Mental Health, University of Melbourne.
The Florey Institute of Neuroscience and Mental Health, University of Melbourne;
J Vis Exp. 2015 Aug 14(102):e52877. doi: 10.3791/52877.
Neuronal network oscillations are important features of brain activity in health and disease and can be modulated by a range of clinically used drugs. A protocol is provided to generate a model for studying CA1 γ oscillations (20-80 Hz). These γ oscillations are stable for at least 30 min and depend upon excitatory and inhibitory synaptic activity in addition to activation of pacemaker currents. Tetanically stimulated oscillations have a number of reproducible and easily quantifiable characteristics including spike count, oscillation duration, latency and frequency that report upon the network state. The advantages of the electrically stimulated oscillations include stability, reproducibility and episodic acquisition enabling robust characterization of network function. This model of CA1 γ oscillations can be used to study cellular mechanisms and to systematically investigate how neuronal network activity is altered in disease and by drugs. Disease state pharmacology can be readily incorporated by the use of brain slices from genetically modified or interventional animal models to enable selection of drugs that specifically target disease mechanisms.
神经网络振荡是健康和疾病状态下大脑活动的重要特征,并且可被一系列临床使用的药物所调节。本文提供了一个用于生成研究CA1γ振荡(20 - 80赫兹)模型的方案。这些γ振荡至少持续30分钟稳定,除了起搏器电流的激活外,还依赖于兴奋性和抑制性突触活动。强直刺激振荡具有许多可重复且易于量化的特征,包括峰值计数、振荡持续时间、潜伏期和频率,这些特征反映了网络状态。电刺激振荡的优点包括稳定性、可重复性和间歇性采集,从而能够对网络功能进行可靠的表征。这种CA1γ振荡模型可用于研究细胞机制,并系统地研究疾病状态下以及药物作用时神经网络活动是如何改变的。通过使用来自转基因或干预动物模型的脑片,可轻易纳入疾病状态药理学研究,从而能够选择特异性针对疾病机制的药物。