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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 (2018). Modular microstructure design to build neuronal networks of defined functional connectivity. Biosensors & Bioelectronics, 122:75-87.

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.

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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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Institute of Biomedical Engineering
Dewey Decimal Classification:170 Ethics
610 Medicine & health
Scopus Subject Areas:Life Sciences > Biotechnology
Life Sciences > Biophysics
Physical Sciences > Biomedical Engineering
Physical Sciences > Electrochemistry
Uncontrolled Keywords:Biotechnology, Biophysics, Electrochemistry, Biomedical Engineering, General Medicine
Language:English
Date:1 December 2018
Deposited On:06 Mar 2019 13:36
Last Modified:03 Dec 2023 08:12
Publisher:Elsevier
ISSN:0956-5663
OA Status:Closed
Publisher DOI:https://doi.org/10.1016/j.bios.2018.08.075
PubMed ID:30243047
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