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Structure-function dynamics of engineered, modular neuronal networks with controllable afferent-efferent connectivity.
Winter-Hjelm, Nicolai; Brune Tomren, Åste; Sikorski, Pawel; Sandvig, Axel; Sandvig, Ioanna.
Afiliación
  • Winter-Hjelm N; Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
  • Brune Tomren Å; Department of Physics, Faculty of Natural Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
  • Sikorski P; Department of Physics, Faculty of Natural Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
  • Sandvig A; Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
  • Sandvig I; Department of Neurology and Clinical Neurophysiology, St. Olav's University Hospital, Trondheim, Norway.
J Neural Eng ; 20(4)2023 08 03.
Article en En | MEDLINE | ID: mdl-37399808
ABSTRACT
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Axones / Neuronas Idioma: En Revista: J Neural Eng Asunto de la revista: NEUROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Noruega

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Axones / Neuronas Idioma: En Revista: J Neural Eng Asunto de la revista: NEUROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Noruega