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Modular microstructure design to build neuronal networks of defined functional connectivity.
Forró, Csaba; Thompson-Steckel, Greta; Weaver, Sean; Weydert, Serge; Ihle, Stephan; Dermutz, Harald; Aebersold, Mathias J; Pilz, Raphael; Demkó, László; Vörös, János.
  • Forró C; Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, ETH Zürich, Zürich, Switzerland.
  • Thompson-Steckel G; Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, ETH Zürich, Zürich, Switzerland.
  • Weaver S; Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, ETH Zürich, Zürich, Switzerland.
  • Weydert S; Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, ETH Zürich, Zürich, Switzerland.
  • Ihle S; Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, ETH Zürich, Zürich, Switzerland.
  • Dermutz H; Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, ETH Zürich, Zürich, Switzerland.
  • Aebersold MJ; Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, ETH Zürich, Zürich, Switzerland.
  • Pilz R; Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, ETH Zürich, Zürich, Switzerland.
  • Demkó L; Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, ETH Zürich, Zürich, Switzerland.
  • Vörös J; Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, ETH Zürich, Zürich, Switzerland. Electronic address: janos.voros@biomed.ee.ethz.ch.
Biosens Bioelectron ; 122: 75-87, 2018 Dec 30.
Article en En | MEDLINE | ID: mdl-30243047
ABSTRACT
Theoretical and in vivo neuroscience research suggests that functional information transfer within neuronal networks is influenced by circuit architecture. Due to the dynamic complexities of the brain, it remains a challenge to test the correlation between structure and function of a defined network. Engineering controlled neuronal networks in vitro offers a way to test structural motifs; however, no method has achieved small, multi-node networks with stable, unidirectional connections. Here, we screened ten different microchannel architectures within polydimethylsiloxane (PDMS) devices to test their potential for axonal guidance. The most successful design had a 92% probability of achieving strictly unidirectional connections between nodes. Networks built from this design were cultured on multielectrode arrays and recorded on days in vitro 9, 12, 15 and 18 to investigate spontaneous and evoked bursting activity. Transfer entropy between subsequent nodes showed up to 100 times more directional flow of information compared to the control. Additionally, directed networks produced a greater amount of information flow, reinforcing the importance of directional connections in the brain being critical for reliable communication. By controlling the parameters of network formation, we minimized response variability and achieved functional, directional networks. The technique provides us with a tool to probe the spatio-temporal effects of different network motifs.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Técnicas Biosensibles / Ingeniería de Tejidos / Dimetilpolisiloxanos / Dispositivos Laboratorio en un Chip / Red Nerviosa / Neuronas Límite: Animals Idioma: En Año: 2018 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Técnicas Biosensibles / Ingeniería de Tejidos / Dimetilpolisiloxanos / Dispositivos Laboratorio en un Chip / Red Nerviosa / Neuronas Límite: Animals Idioma: En Año: 2018 Tipo del documento: Article