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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2023
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.
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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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