Implantation methodology development for tissue-engineered-electronic-neural-interface (TEENI) devices

Elizabeth A. Nunamaker, Benjamin S. Spearman, James B. Graham, Eric W. Atkinson, Vidhi H. Desai, Chancellor S. Shafor, Sruthi Natt, Rebecca A. Wachs, Christine E. Schmidt, Jack W. Judy, Kevin J. Otto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Regenerative peripheral-nerve interfaces are a novel method for integrating with the peripheral nervous system. These devices have the potential to isolate and transduce both afferent (sensory) and efferent (motor) neural signals to produce fine control of advanced prosthetics. We have developed a novel regenerative device comprised of microfabricated polyimide electrode threads supported by a hydrogel scaffold containing methacrylated hyaluronic acid, collagen I, and laminin to enable intimate contact with regenerating axons. While this advanced device holds theoretical promise for establishing a stable chronic neural interface, it also requires a novel surgical approach in comparison to current existing methods of peripheral neural interface technologies. Here we describe the development of the surgical methodology required for successful chronic implantation of the TEENI device in the rat sciatic nerve.

Original languageEnglish (US)
Title of host publication8th International IEEE EMBS Conference on Neural Engineering, NER 2017
PublisherIEEE Computer Society
Pages271-274
Number of pages4
ISBN (Electronic)9781538619162
DOIs
StatePublished - Aug 10 2017
Event8th International IEEE EMBS Conference on Neural Engineering, NER 2017 - Shanghai, China
Duration: May 25 2017May 28 2017

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER
ISSN (Print)1948-3546
ISSN (Electronic)1948-3554

Other

Other8th International IEEE EMBS Conference on Neural Engineering, NER 2017
Country/TerritoryChina
CityShanghai
Period5/25/175/28/17

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering

Fingerprint

Dive into the research topics of 'Implantation methodology development for tissue-engineered-electronic-neural-interface (TEENI) devices'. Together they form a unique fingerprint.

Cite this