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Effects of Morphology Constraint on Electrophysiological Properties of Cortical Neurons
There is growing interest in engineering nerve cells in vitro to control architecture and connectivity of cultured neuronal networks or to build neuronal networks with predictable computational function. Pattern technologies, such as micro-contact printing, have been developed to design ordered neur...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4823731/ https://www.ncbi.nlm.nih.gov/pubmed/27052791 http://dx.doi.org/10.1038/srep23086 |
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author | Zhu, Geng Du, Liping Jin, Lei Offenhäusser, Andreas |
author_facet | Zhu, Geng Du, Liping Jin, Lei Offenhäusser, Andreas |
author_sort | Zhu, Geng |
collection | PubMed |
description | There is growing interest in engineering nerve cells in vitro to control architecture and connectivity of cultured neuronal networks or to build neuronal networks with predictable computational function. Pattern technologies, such as micro-contact printing, have been developed to design ordered neuronal networks. However, electrophysiological characteristics of the single patterned neuron haven’t been reported. Here, micro-contact printing, using polyolefine polymer (POP) stamps with high resolution, was employed to grow cortical neurons in a designed structure. The results demonstrated that the morphology of patterned neurons was well constrained, and the number of dendrites was decreased to be about 2. Our electrophysiological results showed that alterations of dendritic morphology affected firing patterns of neurons and neural excitability. When stimulated by current, though both patterned and un-patterned neurons presented regular spiking, the dynamics and strength of the response were different. The un-patterned neurons exhibited a monotonically increasing firing frequency in response to injected current, while the patterned neurons first exhibited frequency increase and then a slow decrease. Our findings indicate that the decrease in dendritic complexity of cortical neurons will influence their electrophysiological characteristics and alter their information processing activity, which could be considered when designing neuronal circuitries. |
format | Online Article Text |
id | pubmed-4823731 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48237312016-04-18 Effects of Morphology Constraint on Electrophysiological Properties of Cortical Neurons Zhu, Geng Du, Liping Jin, Lei Offenhäusser, Andreas Sci Rep Article There is growing interest in engineering nerve cells in vitro to control architecture and connectivity of cultured neuronal networks or to build neuronal networks with predictable computational function. Pattern technologies, such as micro-contact printing, have been developed to design ordered neuronal networks. However, electrophysiological characteristics of the single patterned neuron haven’t been reported. Here, micro-contact printing, using polyolefine polymer (POP) stamps with high resolution, was employed to grow cortical neurons in a designed structure. The results demonstrated that the morphology of patterned neurons was well constrained, and the number of dendrites was decreased to be about 2. Our electrophysiological results showed that alterations of dendritic morphology affected firing patterns of neurons and neural excitability. When stimulated by current, though both patterned and un-patterned neurons presented regular spiking, the dynamics and strength of the response were different. The un-patterned neurons exhibited a monotonically increasing firing frequency in response to injected current, while the patterned neurons first exhibited frequency increase and then a slow decrease. Our findings indicate that the decrease in dendritic complexity of cortical neurons will influence their electrophysiological characteristics and alter their information processing activity, which could be considered when designing neuronal circuitries. Nature Publishing Group 2016-04-07 /pmc/articles/PMC4823731/ /pubmed/27052791 http://dx.doi.org/10.1038/srep23086 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 Zhu, Geng Du, Liping Jin, Lei Offenhäusser, Andreas Effects of Morphology Constraint on Electrophysiological Properties of Cortical Neurons |
title | Effects of Morphology Constraint on Electrophysiological Properties of Cortical Neurons |
title_full | Effects of Morphology Constraint on Electrophysiological Properties of Cortical Neurons |
title_fullStr | Effects of Morphology Constraint on Electrophysiological Properties of Cortical Neurons |
title_full_unstemmed | Effects of Morphology Constraint on Electrophysiological Properties of Cortical Neurons |
title_short | Effects of Morphology Constraint on Electrophysiological Properties of Cortical Neurons |
title_sort | effects of morphology constraint on electrophysiological properties of cortical neurons |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4823731/ https://www.ncbi.nlm.nih.gov/pubmed/27052791 http://dx.doi.org/10.1038/srep23086 |
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