IEEE Trans Biomed Eng. 2019 Feb;66(2):403-410. doi: 10.1109/TBME.2018.2843793. Epub 2018 Jun 4.
The use of microelectrode array (MEA) recordings is a very effective neurophysiological method because it is able to continuously and noninvasively obtain the spatiotemporal information of electrical activity from many neurons constituting a neural network. Very recently, studies have been published that used MEAs for the measurement of a low-frequency component of electrical activity as an indicator of diverse activity of cultured neurons. The occurrence of low-frequency activities has electrophysiological information that does not include the information from fast spikes. However, there is no in vitro experimental model suitable for measuring the low-frequency activities (slow-waves) for further study.
Neural clusters consisting of dozens of neurons were placed directly onto each electrode of an MEA from which fast spikes and slow-waves were measured.
We obtained sufficient data on the early development patterns of the slow-waves and the spikes measured from many independent neural clusters confirming that the slow-waves occurred first before the emergence of the spikes in the neural clusters. We also showed that changes in the occurrence frequency of the slow-waves for synaptic blockers were measured from a large number of independent cultures.
Microsized neural cluster arrays, which can be combined with conventional MEAs, are suitable for multiple simultaneous recordings of slow-waves.
Our technology provides a simple but useful method to study the generation of a low-frequency component of the electrical activity in cultured neural networks that are not yet well known as well as to expand the use of conventional MEAs.
微电极阵列(MEA)记录是一种非常有效的神经生理学方法,因为它能够连续地、非侵入性地从构成神经网络的许多神经元中获取电活动的时空信息。最近,有研究使用 MEA 来测量电活动的低频成分,作为培养神经元多种活动的指标。低频活动的发生具有不包括快速尖峰信息的电生理信息。然而,目前还没有适合测量低频活动(慢波)的体外实验模型,以便进一步研究。
由数十个神经元组成的神经元簇直接放在 MEA 的每个电极上,从这些电极上测量快速尖峰和慢波。
我们从许多独立的神经元簇中获得了足够的慢波早期发育模式和尖峰测量数据,证实了在神经元簇中出现尖峰之前,慢波首先出现。我们还表明,可以从大量独立培养物中测量到突触阻断剂引起的慢波出现频率的变化。
可以与传统 MEA 结合使用的微尺寸神经元簇阵列,适合于慢波的多个同步记录。
我们的技术提供了一种简单但有用的方法来研究尚未很好了解的培养神经网络中电活动低频成分的产生,并扩展传统 MEA 的应用。