Formation of neural networks with structural and functional features consistent with small-world network topology on surface-grafted polymer particles
Formation of neural networks with structural and functional features consistent with small-world network topology on surface-grafted polymer particles
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在表面接枝聚合物颗粒上形成具有与小世界网络拓扑一致的结构和功能特征的神经网络
DOI：
10.1098/rsos.191086
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发表时间：
2019
影响因子：
3.5
通讯作者：
Sandvig Ioanna
中科院分区：
文献类型：
--
作者：
Valderhaug Vibeke Devold;Glomm Wilhelm Robert;Sandru Eugenia Mariana;Yasuda Masahiro;Sandvig Axel;Sandvig Ioanna
在网络水平上对神经活动的体外电生理学研究对于阐明脑功能（和功能障碍）的潜在特征具有巨大的潜力。然而，在标准的神经网络建模系统中，大脑的基本三维（3D）特征在很大程度上被忽视了。这种广泛应用的神经科学策略影响了所产生网络的结构-功能关系的几个方面，改变了网络的连通性和拓扑结构，最终降低了所获得结果的可翻译性。随着这些模型系统越来越受欢迎，它们必须尽可能准确地捕捉大脑中神经网络的基本特征，例如小世界性。在这份报告中，我们结合在体外神经细胞培养与生物相容的支架基板，表面接枝聚合物颗粒（PP），开发神经网络与3D拓扑结构。此外，我们通过使用3D多电极阵列研究它们的电生理网络活动。由此产生的神经网络活动显示出与能够执行计算的成熟神经网络一致的紧急行为，即暗示信息分离（去干扰的单尖峰和局部爆发）和信息整合（网络尖峰）的活动模式。重要的是，我们证明了由此产生的PP结构神经网络的结构和功能特征与小世界网络拓扑结构一致。
In vitroelectrophysiological investigation of neural activity at a network level holds tremendous potential for elucidating underlying features of brain function (and dysfunction). In standard neural network modelling systems, however, the fundamental three-dimensional (3D) character of the brain is a largely disregarded feature. This widely applied neuroscientific strategy affects several aspects of the structure–function relationships of the resulting networks, altering network connectivity and topology, ultimately reducing the translatability of the results obtained. As these model systems increase in popularity, it becomes imperative that they capture, as accurately as possible, fundamental features of neural networks in the brain, such as small-worldness. In this report, we combinein vitroneural cell culture with a biologically compatible scaffolding substrate, surface-grafted polymer particles (PPs), to develop neural networks with 3D topology. Furthermore, we investigate their electrophysiological network activity through the use of 3D multielectrode arrays. The resulting neural network activity shows emergent behaviour consistent with maturing neural networks capable of performing computations, i.e. activity patterns suggestive of both information segregation (desynchronized single spikes and local bursts) and information integration (network spikes). Importantly, we demonstrate that the resulting PP-structured neural networks show both structural and functional features consistent with small-world network topology.
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影响因子：
5.3
作者：
Dranias, Mark R.;Ju, Han;VanDongen, Antonius M. J.
通讯作者：
VanDongen, Antonius M. J.
具有接枝环氧聚合物链的聚合物颗粒上的粘附细胞培养
影响因子：
2.6
作者：
Yasuda M.;Kunieda H.;Ono K.;Iwasaki T.;Hiramoto M.;Glomm WR.;Hirabayashi Y.;Aizawa S
通讯作者：
Aizawa S
影响因子：
8.6
作者：
Latora, V;Marchiori, M
通讯作者：
Marchiori, M
将 3D 工程神经元培养物与微电极阵列连接：一种创新的体外实验模型。
DOI：
--
发表时间：
2015
期刊：
Journal of Visualized Experiments
影响因子：
--
作者：
M. Tedesco;M. Frega;S. Martinoia;M. Pesce;P. Massobrio
通讯作者：
P. Massobrio
连接组
DOI：
--
发表时间：
2013
影响因子：
11.1
作者：
P. Nair
通讯作者：
P. Nair