Enhancement of electrical signaling in neural networks on graphene films | |
Song, Q(宋琴); Cheng, GS(程国胜) | |
刊名 | BIOMATERIAL |
2013-09 | |
卷号 | 34期号:27页码:6402-6411 |
关键词 | Graphene Neural stem cells Neural activity Neural network |
通讯作者 | Cheng, GS(程国胜) |
英文摘要 | One of the key challenges for neural tissue engineering is to exploit supporting materials with robust functionalities not only to govern cell-specific behaviors, but also to form functional neural network. The unique electrical and mechanical properties of graphene imply it as a promising candidate for neural interfaces, but little is known about the details of neural network formation on graphene as a scaffold material for tissue engineering. Therapeutic regenerative strategies aim to guide and enhance the intrinsic capacity of the neurons to reorganize by promoting plasticity mechanisms in a controllable manner. Here, we investigated the impact of graphene on the formation and performance in the assembly of neural networks in neural stem cell (NSC) culture. Using calcium imaging and electrophysiological recordings, we demonstrate the capabilities of graphene to support the growth of functional neural circuits, and improve neural performance and electrical signaling in the network. These results offer a better understanding of interactions between graphene and NSCs, also they clearly present the great potentials of graphene as neural interface in tissue engineering. (C) 2013 Elsevier Ltd. All rights reserved. |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000321421000010 |
公开日期 | 2014-01-13 |
内容类型 | 期刊论文 |
源URL | [http://ir.sinano.ac.cn/handle/332007/1307] |
专题 | 苏州纳米技术与纳米仿生研究所_纳米生物医学与安全研究部_程国胜团队 |
通讯作者 | Cheng, GS(程国胜) |
推荐引用方式 GB/T 7714 | Song, Q,Cheng, GS. Enhancement of electrical signaling in neural networks on graphene films[J]. BIOMATERIAL,2013,34(27):6402-6411. |
APA | Song, Q,&Cheng, GS.(2013).Enhancement of electrical signaling in neural networks on graphene films.BIOMATERIAL,34(27),6402-6411. |
MLA | Song, Q,et al."Enhancement of electrical signaling in neural networks on graphene films".BIOMATERIAL 34.27(2013):6402-6411. |
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