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Microfluidic neurite guidance to study structure-function relationships in topologically-complex population-based neural networks

The central nervous system is a dense, layered, 3D interconnected network of populations of neurons, and thus recapitulating that complexity for in vitro CNS models requires methods that can create defined topologically-complex neuronal networks. Several three-dimensional patterning approaches have...

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Detalles Bibliográficos
Autores principales: Honegger, Thibault, Thielen, Moritz I., Feizi, Soheil, Sanjana, Neville E., Voldman, Joel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4916598/
https://www.ncbi.nlm.nih.gov/pubmed/27328705
http://dx.doi.org/10.1038/srep28384
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author Honegger, Thibault
Thielen, Moritz I.
Feizi, Soheil
Sanjana, Neville E.
Voldman, Joel
author_facet Honegger, Thibault
Thielen, Moritz I.
Feizi, Soheil
Sanjana, Neville E.
Voldman, Joel
author_sort Honegger, Thibault
collection PubMed
description The central nervous system is a dense, layered, 3D interconnected network of populations of neurons, and thus recapitulating that complexity for in vitro CNS models requires methods that can create defined topologically-complex neuronal networks. Several three-dimensional patterning approaches have been developed but none have demonstrated the ability to control the connections between populations of neurons. Here we report a method using AC electrokinetic forces that can guide, accelerate, slow down and push up neurites in un-modified collagen scaffolds. We present a means to create in vitro neural networks of arbitrary complexity by using such forces to create 3D intersections of primary neuronal populations that are plated in a 2D plane. We report for the first time in vitro basic brain motifs that have been previously observed in vivo and show that their functional network is highly decorrelated to their structure. This platform can provide building blocks to reproduce in vitro the complexity of neural circuits and provide a minimalistic environment to study the structure-function relationship of the brain circuitry.
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spelling pubmed-49165982016-06-27 Microfluidic neurite guidance to study structure-function relationships in topologically-complex population-based neural networks Honegger, Thibault Thielen, Moritz I. Feizi, Soheil Sanjana, Neville E. Voldman, Joel Sci Rep Article The central nervous system is a dense, layered, 3D interconnected network of populations of neurons, and thus recapitulating that complexity for in vitro CNS models requires methods that can create defined topologically-complex neuronal networks. Several three-dimensional patterning approaches have been developed but none have demonstrated the ability to control the connections between populations of neurons. Here we report a method using AC electrokinetic forces that can guide, accelerate, slow down and push up neurites in un-modified collagen scaffolds. We present a means to create in vitro neural networks of arbitrary complexity by using such forces to create 3D intersections of primary neuronal populations that are plated in a 2D plane. We report for the first time in vitro basic brain motifs that have been previously observed in vivo and show that their functional network is highly decorrelated to their structure. This platform can provide building blocks to reproduce in vitro the complexity of neural circuits and provide a minimalistic environment to study the structure-function relationship of the brain circuitry. Nature Publishing Group 2016-06-22 /pmc/articles/PMC4916598/ /pubmed/27328705 http://dx.doi.org/10.1038/srep28384 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Honegger, Thibault
Thielen, Moritz I.
Feizi, Soheil
Sanjana, Neville E.
Voldman, Joel
Microfluidic neurite guidance to study structure-function relationships in topologically-complex population-based neural networks
title Microfluidic neurite guidance to study structure-function relationships in topologically-complex population-based neural networks
title_full Microfluidic neurite guidance to study structure-function relationships in topologically-complex population-based neural networks
title_fullStr Microfluidic neurite guidance to study structure-function relationships in topologically-complex population-based neural networks
title_full_unstemmed Microfluidic neurite guidance to study structure-function relationships in topologically-complex population-based neural networks
title_short Microfluidic neurite guidance to study structure-function relationships in topologically-complex population-based neural networks
title_sort microfluidic neurite guidance to study structure-function relationships in topologically-complex population-based neural networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4916598/
https://www.ncbi.nlm.nih.gov/pubmed/27328705
http://dx.doi.org/10.1038/srep28384
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