Salimpour Yousef, Anderson William S, Dastyeb Raha, Liu Shiyu, Ming Guo-Li, Song Hongjun, Maragakis Nicholas J, Habela Christa W
bioRxiv. 2023 Jul 10:2023.07.08.548227. doi: 10.1101/2023.07.08.548227.
Human induced pluripotent stem cell (hiPSC) derived neurons offer the possibility of studying human-specific neuronal behaviors in physiologic and pathologic states . However, it is unclear whether these cultured neurons can achieve the fundamental network behaviors that are required to process information in the human brain. Investigating neuronal oscillations and their interactions, as occurs in cross-frequency coupling (CFC), is potentially a relevant approach. Microelectrode array culture plates provide a controlled framework to study populations of hiPSC-derived cortical neurons (hiPSC-CNs) and their electrical activity. Here, we examined whether networks of two-dimensional cultured hiPSC-CNs recapitulate the CFC that is present in networks . We analyzed the electrical activity recorded from hiPSC-CNs grown in culture with hiPSC-derived astrocytes. We employed the modulation index method for detecting phase-amplitude coupling (PAC) and used an offline spike sorting method to analyze the contribution of a single neuron's spiking activities to network behavior. Our analysis demonstrates that the degree of PAC is specific to network structure and is modulated by external stimulation, such as bicuculine administration. Additionally, the shift in PAC is not driven by a single neuron's properties but by network-level interactions. CFC analysis in the form of PAC explores communication and integration between groups of nearby neurons and dynamical changes across the entire network. , it has the potential to capture the effects of chemical agents and electrical or ultrasound stimulation on these interactions and may provide valuable information for the modulation of neural networks to treat nervous system disorders .
Phase amplitude coupling (PAC) analysis demonstrates that the complex interactions that occur between neurons and network oscillations in the human brain, , are present in 2-dimensional human cultures. This coupling is implicated in normal cognitive function as well as disease states. Its presence suggests that PAC is a fundamental property of neural networks. These findings offer the possibility of a model to understand the mechanisms and of PAC more completely and ultimately allow us to understand how it can be modulated to treat neurologic disease.
人诱导多能干细胞(hiPSC)衍生的神经元为研究生理和病理状态下人类特有的神经元行为提供了可能性。然而,尚不清楚这些培养的神经元是否能实现人类大脑处理信息所需的基本网络行为。研究神经元振荡及其相互作用,如交叉频率耦合(CFC)中发生的情况,可能是一种相关方法。微电极阵列培养板为研究hiPSC衍生的皮质神经元(hiPSC-CNs)群体及其电活动提供了一个可控框架。在此,我们研究了二维培养的hiPSC-CNs网络是否重现了网络中存在的CFC。我们分析了在含有hiPSC衍生星形胶质细胞的培养物中生长的hiPSC-CNs记录的电活动。我们采用调制指数方法检测相位-振幅耦合(PAC),并使用离线尖峰分类方法分析单个神经元的尖峰活动对网络行为的贡献。我们的分析表明,PAC的程度特定于网络结构,并受到外部刺激(如应用荷包牡丹碱)的调节。此外,PAC的变化不是由单个神经元的特性驱动的,而是由网络水平的相互作用驱动的。以PAC形式进行的CFC分析探索了附近神经元群体之间的通信和整合以及整个网络的动态变化。因此,它有可能捕捉化学试剂、电刺激或超声刺激对这些相互作用的影响,并可能为调节神经网络以治疗神经系统疾病提供有价值的信息。
相位-振幅耦合(PAC)分析表明,人类大脑中神经元与网络振荡之间发生的复杂相互作用,即在二维人类培养物中也存在。这种耦合与正常认知功能以及疾病状态有关。它的存在表明PAC是神经网络的一个基本属性。这些发现为更全面地理解PAC的机制提供了一个模型的可能性,并最终使我们能够理解如何调节它来治疗神经系统疾病。