Weir Janelle S, Hanssen Katrine Sjaastad, Winter-Hjelm Nicolai, Sandvig Axel, Sandvig Ioanna
Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Department of Community Medicine and Rehabilitation, Umeå University, Umeå, Sweden.
Eur J Neurosci. 2024 Dec;60(12):7228-7248. doi: 10.1111/ejn.16625. Epub 2024 Dec 2.
Reciprocal structure-function relationships underlie both healthy and pathological behaviours in complex neural networks. Thus, understanding neuropathology and network dysfunction requires a thorough investigation of the complex interactions between structural and functional network reconfigurations in response to perturbation. Such adaptations are often difficult to study in vivo. For example, subtle, evolving changes in synaptic connectivity, transmission and the electrophysiological shift from healthy to pathological states, for example alterations that may be associated with evolving neurodegenerative disease, such as Alzheimer's, are difficult to study in the brain. Engineered in vitro neural networks are powerful models that enable selective targeting, manipulation and monitoring of dynamic neural network behaviour at the micro- and mesoscale in physiological and pathological conditions. In this study, we engineered feedforward cortical neural networks using two-nodal microfluidic devices with controllable connectivity interfaced with microelectrode arrays (mMEAs). We induced P301L mutated tau protein to the presynaptic node of these networks and monitored network dynamics over three weeks. Induced perturbation resulted in altered structural organization and extensive axonal retraction starting in the perturbed node. Perturbed networks also exhibited functional changes in intranodal activity, which manifested as an overall decline in both firing rate and bursting activity, with a progressive increase in synchrony over time and a decrease in internodal signal propagation between pre- and post-synaptic nodes. These results provide insights into dynamic structural and functional reconfigurations at the micro- and mesoscale as a result of evolving pathology and illustrate the utility of engineered networks as models of network function and dysfunction.
相互的结构-功能关系是复杂神经网络中健康和病理行为的基础。因此,理解神经病理学和网络功能障碍需要深入研究结构和功能网络重构之间复杂的相互作用,以应对扰动。这种适应性变化在体内往往难以研究。例如,突触连接性、传递以及从健康状态到病理状态的电生理转变等细微、不断演变的变化,例如可能与诸如阿尔茨海默病等不断发展的神经退行性疾病相关的改变,在大脑中很难进行研究。工程化的体外神经网络是强大的模型,能够在生理和病理条件下,在微观和中观尺度上对动态神经网络行为进行选择性靶向、操纵和监测。在本研究中,我们使用具有可控连接性的双节点微流控装置与微电极阵列(mMEA)接口,构建了前馈皮质神经网络。我们将P301L突变的tau蛋白引入这些网络的突触前节点,并在三周内监测网络动态。诱导的扰动导致结构组织改变以及从受扰动节点开始的广泛轴突回缩。受扰动的网络在节点内活动中也表现出功能变化,表现为放电率和爆发活动总体下降,随着时间的推移同步性逐渐增加,突触前和突触后节点之间的节点间信号传播减少。这些结果为由于病理演变导致的微观和中观尺度上的动态结构和功能重构提供了见解,并说明了工程化网络作为网络功能和功能障碍模型的实用性。