Microfluidic cell engineering on high-density microelectrode arrays for assessing structure-function relationships in living neuronal networks

Neuronal networks in dissociated culture combined with cell engineering technology offer a pivotal platform to constructively explore the relationship between structure and function in living neuronal networks. Here, we fabricated defined neuronal networks possessing a modular architecture on high-d...

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Published inFrontiers in neuroscience Vol. 16; p. 943310
Main Authors Sato, Yuya, Yamamoto, Hideaki, Kato, Hideyuki, Tanii, Takashi, Sato, Shigeo, Hirano-Iwata, Ayumi
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 09.01.2023
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Summary:Neuronal networks in dissociated culture combined with cell engineering technology offer a pivotal platform to constructively explore the relationship between structure and function in living neuronal networks. Here, we fabricated defined neuronal networks possessing a modular architecture on high-density microelectrode arrays (HD-MEAs), a state-of-the-art electrophysiological tool for recording neural activity with high spatial and temporal resolutions. We first established a surface coating protocol using a cell-permissive hydrogel to stably attach a polydimethylsiloxane microfluidic film on the HD-MEA. We then recorded the spontaneous neural activity of the engineered neuronal network, which revealed an important portrait of the engineered neuronal network-modular architecture enhances functional complexity by reducing the excessive neural correlation between spatially segregated modules. The results of this study highlight the impact of HD-MEA recordings combined with cell engineering technologies as a novel tool in neuroscience to constructively assess the structure-function relationships in neuronal networks.
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Edited by: Arti Ahluwalia, University of Pisa, Italy
This article was submitted to Neural Technology, a section of the journal Frontiers in Neuroscience
Reviewed by: Joseph J. Pancrazio, The University of Texas at Dallas, United States; Günther Zeck, Vienna University of Technology, Austria; Andreas Offenhäusser, Helmholtz Association of German Research Centres (HZ), Germany; Ilaria Colombi, Italian Institute of Technology (IIT), Italy
ISSN:1662-4548
1662-453X
1662-453X
DOI:10.3389/fnins.2022.943310