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Integration of reconfigurable microchannels into aligned three-dimensional neural networks for spatially controllable neuromodulation
Anisotropically organized neural networks are indispensable routes for functional connectivity in the brain, which remains largely unknown. While prevailing animal models require additional preparation and stimulation-applying devices and have exhibited limited capabilities regarding localized stimu...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10005277/ https://www.ncbi.nlm.nih.gov/pubmed/36897938 http://dx.doi.org/10.1126/sciadv.adf0925 |
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author | Jeong, Sohyeon Kang, Hyun Wook Kim, So Hyun Hong, Gyu-Sang Nam, Min-Ho Seong, Jihye Yoon, Eui-Sung Cho, Il-Joo Chung, Seok Bang, Seokyoung Kim, Hong Nam Choi, Nakwon |
author_facet | Jeong, Sohyeon Kang, Hyun Wook Kim, So Hyun Hong, Gyu-Sang Nam, Min-Ho Seong, Jihye Yoon, Eui-Sung Cho, Il-Joo Chung, Seok Bang, Seokyoung Kim, Hong Nam Choi, Nakwon |
author_sort | Jeong, Sohyeon |
collection | PubMed |
description | Anisotropically organized neural networks are indispensable routes for functional connectivity in the brain, which remains largely unknown. While prevailing animal models require additional preparation and stimulation-applying devices and have exhibited limited capabilities regarding localized stimulation, no in vitro platform exists that permits spatiotemporal control of chemo-stimulation in anisotropic three-dimensional (3D) neural networks. We present the integration of microchannels seamlessly into a fibril-aligned 3D scaffold by adapting a single fabrication principle. We investigated the underlying physics of elastic microchannels’ ridges and interfacial sol-gel transition of collagen under compression to determine a critical window of geometry and strain. We demonstrated the spatiotemporally resolved neuromodulation in an aligned 3D neural network by local deliveries of KCl and Ca(2+) signal inhibitors, such as tetrodotoxin, nifedipine, and mibefradil, and also visualized Ca(2+) signal propagation with a speed of ~3.7 μm/s. We anticipate that our technology will pave the way to elucidate functional connectivity and neurological diseases associated with transsynaptic propagation. |
format | Online Article Text |
id | pubmed-10005277 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-100052772023-03-11 Integration of reconfigurable microchannels into aligned three-dimensional neural networks for spatially controllable neuromodulation Jeong, Sohyeon Kang, Hyun Wook Kim, So Hyun Hong, Gyu-Sang Nam, Min-Ho Seong, Jihye Yoon, Eui-Sung Cho, Il-Joo Chung, Seok Bang, Seokyoung Kim, Hong Nam Choi, Nakwon Sci Adv Physical and Materials Sciences Anisotropically organized neural networks are indispensable routes for functional connectivity in the brain, which remains largely unknown. While prevailing animal models require additional preparation and stimulation-applying devices and have exhibited limited capabilities regarding localized stimulation, no in vitro platform exists that permits spatiotemporal control of chemo-stimulation in anisotropic three-dimensional (3D) neural networks. We present the integration of microchannels seamlessly into a fibril-aligned 3D scaffold by adapting a single fabrication principle. We investigated the underlying physics of elastic microchannels’ ridges and interfacial sol-gel transition of collagen under compression to determine a critical window of geometry and strain. We demonstrated the spatiotemporally resolved neuromodulation in an aligned 3D neural network by local deliveries of KCl and Ca(2+) signal inhibitors, such as tetrodotoxin, nifedipine, and mibefradil, and also visualized Ca(2+) signal propagation with a speed of ~3.7 μm/s. We anticipate that our technology will pave the way to elucidate functional connectivity and neurological diseases associated with transsynaptic propagation. American Association for the Advancement of Science 2023-03-10 /pmc/articles/PMC10005277/ /pubmed/36897938 http://dx.doi.org/10.1126/sciadv.adf0925 Text en Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Physical and Materials Sciences Jeong, Sohyeon Kang, Hyun Wook Kim, So Hyun Hong, Gyu-Sang Nam, Min-Ho Seong, Jihye Yoon, Eui-Sung Cho, Il-Joo Chung, Seok Bang, Seokyoung Kim, Hong Nam Choi, Nakwon Integration of reconfigurable microchannels into aligned three-dimensional neural networks for spatially controllable neuromodulation |
title | Integration of reconfigurable microchannels into aligned three-dimensional neural networks for spatially controllable neuromodulation |
title_full | Integration of reconfigurable microchannels into aligned three-dimensional neural networks for spatially controllable neuromodulation |
title_fullStr | Integration of reconfigurable microchannels into aligned three-dimensional neural networks for spatially controllable neuromodulation |
title_full_unstemmed | Integration of reconfigurable microchannels into aligned three-dimensional neural networks for spatially controllable neuromodulation |
title_short | Integration of reconfigurable microchannels into aligned three-dimensional neural networks for spatially controllable neuromodulation |
title_sort | integration of reconfigurable microchannels into aligned three-dimensional neural networks for spatially controllable neuromodulation |
topic | Physical and Materials Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10005277/ https://www.ncbi.nlm.nih.gov/pubmed/36897938 http://dx.doi.org/10.1126/sciadv.adf0925 |
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