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dc.contributor.authorWinter-Hjelm, Nicolai
dc.contributor.authorTomren, Åste Brune
dc.contributor.authorSikorski, Pawel Tadeusz
dc.contributor.authorSandvig, Axel
dc.contributor.authorSandvig, Ioanna
dc.date.accessioned2024-06-25T11:10:16Z
dc.date.available2024-06-25T11:10:16Z
dc.date.created2023-07-05T14:01:31Z
dc.date.issued2023
dc.identifier.citationJournal of Neural Engineering. 2023, 20 (4), 1-21.en_US
dc.identifier.issn1741-2560
dc.identifier.urihttps://hdl.handle.net/11250/3135702
dc.description.abstractObjective: Microfluidic devices interfaced with microelectrode arrays have in recent years emerged as powerful platforms for studying and manipulating in vitro neuronal 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.en_US
dc.language.isoengen_US
dc.publisherIOP Publishingen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleStructure-function dynamics of engineered, modular neuronal networks with controllable afferent-efferent connectivityen_US
dc.title.alternativeStructure-function dynamics of engineered, modular neuronal networks with controllable afferent-efferent connectivityen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber1-21en_US
dc.source.volume20en_US
dc.source.journalJournal of Neural Engineeringen_US
dc.source.issue4en_US
dc.identifier.doi10.1088/1741-2552/ace37f
dc.identifier.cristin2161001
dc.relation.projectNorges forskningsråd: 295864en_US
dc.source.articlenumber046024en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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