4.6 Article

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

Journal

FRONTIERS IN NEUROSCIENCE
Volume 16, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fnins.2022.943310

Keywords

microfluidic devices; microelectrode array (MEA); complex networks; cultured neuronal network; cell engineering

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By utilizing cell engineering technology and neuronal networks in dissociated culture, we constructed modular neuronal networks to investigate the relationship between structure and function. Using high-density microelectrode arrays, we recorded the neural activity of the engineered neuronal networks and found that modular architecture enhances functional complexity by reducing excessive neural correlation between spatially segregated modules. This study highlights the importance of combining cell engineering technologies with high-density microelectrode array recordings in assessing the structure-function relationships in 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-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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