具有可控传入-传出连接的工程模块化神经网络的结构-功能动力学。

IF 3.7 3区 医学 Q2 ENGINEERING, BIOMEDICAL Journal of neural engineering Pub Date : 2023-08-03 DOI:10.1088/1741-2552/ace37f
Nicolai Winter-Hjelm, Åste Brune Tomren, Pawel Sikorski, Axel Sandvig, Ioanna Sandvig
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引用次数: 2

摘要

目标。近年来,与微电极阵列相结合的微流控装置已成为研究和操纵微中尺度外神经元网络的有力平台。通过使用仅允许轴突的微通道分离神经元群,神经元网络可以被设计成模仿大脑中高度组织化、模块化的神经元组合拓扑结构。然而,人们对这种工程神经网络的潜在拓扑特征如何影响其功能概况知之甚少。为了解决这个问题,一个关键参数是控制网络内的传入或传出连通性。方法在本研究中,我们展示了一种微流体装置,其特征是轴突引导通道受特斯拉阀的几何约束,有效地促进了神经元节点之间的单向轴突生长,从而使我们能够控制传入连通性。主要的结果。我们的研究结果还表明,与单节点控制相比,这些网络表现出更有效的网络组织,具有更高的模块化。我们通过应用设计病毒工具对神经元进行荧光标记以可视化网络结构来验证这一点,并结合使用嵌入式纳米孔微电极的细胞外电生理记录来研究这些网络在成熟过程中的功能动力学。我们进一步表明,神经网络的电刺激诱导信号在神经元群之间以前馈方式选择性地传递。意义我们的微设备的一个关键优势是能够以高精度纵向研究和操纵神经网络的结构和功能。该模型系统有可能为健康和受干扰条件下的微观和中尺度神经元组装的发育、拓扑组织和神经可塑性机制提供新的见解。
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Structure-function dynamics of engineered, modular neuronal networks with controllable afferent-efferent connectivity.

Objective.Microfluidic devices interfaced with microelectrode arrays have in recent years emerged as powerful platforms for studying and manipulatingin vitroneuronal networks at the micro- and mesoscale. By segregating neuronal populations using microchannels only permissible to axons, neuronal networks can be designed to mimic the highly organized, modular topology of neuronal assemblies in the brain. However, little is known about how the underlying topological features of such engineered neuronal networks contribute to their functional profile. To start addressing this question, a key parameter is control of afferent or efferent connectivity within the network.Approach.In this study, we show that a microfluidic device featuring axon guiding channels with geometrical constraints inspired by a Tesla valve effectively promotes unidirectional axonal outgrowth between neuronal nodes, thereby enabling us to control afferent connectivity.Main results.Our results moreover indicate that these networks exhibit a more efficient network organization with higher modularity compared to single nodal controls. We verified this by applying designer viral tools to fluorescently label the neurons to visualize the structure of the networks, combined with extracellular electrophysiological recordings using embedded nanoporous microelectrodes to study the functional dynamics of these networks during maturation. We furthermore show that electrical stimulations of the networks induce signals selectively transmitted in a feedforward fashion between the neuronal populations.Significance.A key advantage with our microdevice is the ability to longitudinally study and manipulate both the structure and function of neuronal networks with high accuracy. This model system has the potential to provide novel insights into the development, topological organization, and neuroplasticity mechanisms of neuronal assemblies at the micro- and mesoscale in healthy and perturbed conditions.

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来源期刊
Journal of neural engineering
Journal of neural engineering 工程技术-工程:生物医学
CiteScore
7.80
自引率
12.50%
发文量
319
审稿时长
4.2 months
期刊介绍: The goal of Journal of Neural Engineering (JNE) is to act as a forum for the interdisciplinary field of neural engineering where neuroscientists, neurobiologists and engineers can publish their work in one periodical that bridges the gap between neuroscience and engineering. The journal publishes articles in the field of neural engineering at the molecular, cellular and systems levels. The scope of the journal encompasses experimental, computational, theoretical, clinical and applied aspects of: Innovative neurotechnology; Brain-machine (computer) interface; Neural interfacing; Bioelectronic medicines; Neuromodulation; Neural prostheses; Neural control; Neuro-rehabilitation; Neurorobotics; Optical neural engineering; Neural circuits: artificial & biological; Neuromorphic engineering; Neural tissue regeneration; Neural signal processing; Theoretical and computational neuroscience; Systems neuroscience; Translational neuroscience; Neuroimaging.
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