Vertically aligned carbon nanofiber as nano-neuron interface for monitoring neural function

Zhe Yu, Timothy E. McKnight, M. Nance Ericson, Anatoli V. Melechko, Michael L. Simpson, Barclay Morrison

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

Neural chips, which are capable of simultaneous multisite neural recording and stimulation, have been used to detect and modulate neural activity for almost thirty years. As neural interfaces, neural chips provide dynamic functional information for neural decoding and neural control. By improving sensitivity and spatial resolution, nano-scale electrodes may revolutionize neural detection and modulation at cellular and molecular levels as nano-neuron interfaces. We developed a carbon-nanofiber neural chip with lithographically defined arrays of vertically aligned carbon nanofiber electrodes and demonstrated its capability of both stimulating and monitoring electrophysiological signals from brain tissues in vitro and monitoring dynamic information of neuroplasticity. This novel nano-neuron interface may potentially serve as a precise, informative, biocompatible, and dual-mode neural interface for monitoring of both neuroelectrical and neurochemical activity at the single-cell level and even inside the cell. From the Clinical Editor: The authors demonstrate the utility of a neural chip with lithographically defined arrays of vertically aligned carbon nanofiber electrodes. The new device can be used to stimulate and/or monitor signals from brain tissue in vitro and for monitoring dynamic information of neuroplasticity both intracellularly and at the single cell level including neuroelectrical and neurochemical activities.

Original languageEnglish
Pages (from-to)419-423
Number of pages5
JournalNanomedicine: Nanotechnology, Biology, and Medicine
Volume8
Issue number4
DOIs
StatePublished - May 2012
Externally publishedYes

Funding

This study was supported in part by grant 1R21NS052794 (NINDS) to B. Morrison III and in part by the National Institute for Biomedical Imaging and Bioengineering under assignment 1-R01EB006316 to T. E. McKnight by the Material Sciences and Engineering Division Program of the DOE Office of Science under contract DE-AC05-00OR22725 with UT-Battelle, LLC and through the Laboratory Directed Research and Development funding program of the Oak Ridge National Laboratory. A.V. Melechko and M.L.Simpson acknowledge support from the Material Sciences and Engineering Division Program of the DOE Office of Science. Z. Yu acknowledges support from National Natural Science Foundation of China (61102042) and Youth Innovation Promotion Association, Chinese Academy of Sciences.

Keywords

  • Carbon nanofiber
  • Electrophysiology
  • Nano-neuron interface
  • Neural chip
  • Neural interface

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