Engineered cortical microcircuits for investigations of neuroplasticity†

IF 6.1 2区 工程技术 Q1 BIOCHEMICAL RESEARCH METHODS
Lab on a Chip Pub Date : 2024-09-03 DOI:10.1039/D4LC00546E
Nicolai Winter-Hjelm, Pawel Sikorski, Axel Sandvig and Ioanna Sandvig
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Abstract

Recent advances in neural engineering have opened new ways to investigate the impact of topology on neural network function. Leveraging microfluidic technologies, it is possible to establish modular circuit motifs that promote both segregation and integration of information processing in the engineered neural networks, similar to those observed in vivo. However, the impact of the underlying topologies on network dynamics and response to pathological perturbation remains largely unresolved. In this work, we demonstrate the utilization of microfluidic platforms with 12 interconnected nodes to structure modular, cortical engineered neural networks. By implementing geometrical constraints inspired by a Tesla valve within the connecting microtunnels, we additionally exert control over the direction of axonal outgrowth between the nodes. Interfacing these platforms with nanoporous microelectrode arrays reveals that the resulting laminar cortical networks exhibit pronounced segregated and integrated functional dynamics across layers, mirroring key elements of the feedforward, hierarchical information processing observed in the neocortex. The multi-nodal configuration also facilitates selective perturbation of individual nodes within the networks. To illustrate this, we induced hypoxia, a key factor in the pathogenesis of various neurological disorders, in well-connected nodes within the networks. Our findings demonstrate that such perturbations induce ablation of information flow across the hypoxic node, while enabling the study of plasticity and information processing adaptations in neighboring nodes and neural communication pathways. In summary, our presented model system recapitulates fundamental attributes of the microcircuit organization of neocortical neural networks, rendering it highly pertinent for preclinical neuroscience research. This model system holds promise for yielding new insights into the development, topological organization, and neuroplasticity mechanisms of the neocortex across the micro- and mesoscale level, in both healthy and pathological conditions.

Abstract Image

用于神经可塑性研究的工程皮层微电路
神经工程学的最新进展为操纵和研究拓扑结构对神经网络功能和故障的影响提供了前所未有的机会。利用微流体技术,可以建立模块化电路模式,在分离和整合信息处理之间实现微调平衡,这与在体内观察到的情况相似。然而,这种拓扑结构对网络动力学和疾病适应性的影响在很大程度上仍未得到解决。在这项工作中,我们展示了如何利用具有 12 个互连节点的微流控平台来构建模块化的皮层工程神经网络。通过在连接微隧道内实施受特斯拉阀门启发的几何约束,我们还对节点之间的轴突生长方向进行了控制。将这些平台与纳米多孔微电极阵列连接后发现,由此产生的层状皮质网络表现出明显的跨层分离和整合功能动态,让人联想到在新皮质中观察到的前馈分层信息处理。多节点配置还有利于诱导对网络内单个节点的局部扰动。为了说明这一点,我们在网络中连接良好的节点上诱导缺氧,这是各种神经系统疾病发病机制中的一个关键因素。我们的研究结果表明,这种扰动会导致缺氧节点的信息流中断,同时还能研究邻近节点和神经通信通路的可塑性和信息处理适应性。总之,我们提出的模型系统再现了新皮层神经网络微电路组织的基本属性,使其与临床前神经科学研究高度相关。该模型系统有望在微观和中观尺度上对新皮层在健康和病理条件下的发育、拓扑组织和神经可塑性机制产生新的认识。
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来源期刊
Lab on a Chip
Lab on a Chip 工程技术-化学综合
CiteScore
11.10
自引率
8.20%
发文量
434
审稿时长
2.6 months
期刊介绍: Lab on a Chip is the premiere journal that publishes cutting-edge research in the field of miniaturization. By their very nature, microfluidic/nanofluidic/miniaturized systems are at the intersection of disciplines, spanning fundamental research to high-end application, which is reflected by the broad readership of the journal. Lab on a Chip publishes two types of papers on original research: full-length research papers and communications. Papers should demonstrate innovations, which can come from technical advancements or applications addressing pressing needs in globally important areas. The journal also publishes Comments, Reviews, and Perspectives.
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