Network size affects the complexity of activity in human iPSC-derived neuronal populations.

Network size affects the complexity of activity in human iPSC-derived neuronal populations.
复制标题

网络大小影响人类 iPSC 衍生神经元群体活动的复杂性。

DOI:
10.1101/2023.10.31.564939
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发表时间:
2023
期刊:
bioRxiv : the preprint server for biology
影响因子:
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通讯作者:
Padmanabhan,Krishnan
Padmanabhan,Krishnan
中科院分区:
--
文献类型:
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作者:
Uzun,YavuzSelim;Santos,Renata;Marchetto,MariaC;Padmanabhan,Krishnan

文献摘要

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多电极记录文化中的神经活动为理解网络的结构如何产生功能提供了机会。虽然假设网络大小对于确定活动的动力学是至关重要的,但人类神经文化中的这种关系在很大程度上仍未被探索。通过将新方法应用于低密度或高密度的人类iPSC衍生培养物中分析神经活动,我们发现了神经元数量对细胞个体神经生理学特性(例如放电率)、网络的集体行为的显着影响这些培养物形成(通过熵测量),以及两者之间的关系。因此,仅仅改变神经元的密度就能产生动力学和网络行为,它们不仅在程度上不同,而且在种类上也不同。除了揭示网络结构和功能之间的关系外,我们的研究结果还为研究网络水平活动受到影响的疾病提供了一个新的分析框架。
Multi-electrode recording of neural activity in cultures offer opportunities for understanding how the structure of a network gives rise to function. Although it is hypothesized that network size is critical for determining the dynamics of activity, this relationship in human neural cultures remains largely unexplored. By applying new methods for analyzing neural activity to human iPSC derived cultures at either low-densities or high-densities, we uncovered the significant impacts that neuron number has on the individual neurophysiological properties of cells (such as firing rates), the collective behavior of the networks these cultures formed (as measured by entropy), and the relationship between the two. As a result, simply changing the densities of neurons generated dynamics and network behavior that differed not just in degree, but in kind. Beyond revealing the relationship between network structure and function, our findings provide a novel analytical framework to study diseases where network level activity is affected.