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Cited by 195

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Electrochemical polymerization of conducting polymers in living neural tissue

Open access
Richardson-Burns, Sarah M, Hendricks, Jeffrey L, Martin, David C·2007·Journal of Neural Engineering

Abstract

A number of biomedical devices require extended electrical communication with surrounding tissue. Significant improvements in device performance would be achieved if it were possible to maintain communication with target cells despite the reactive, insulating scar tissue that forms at the device-tissue interface. Here, we report that the conducting polymer poly(3,4-ethylenedioxythiophene) (PEDOT) can be polymerized directly within living neural tissue resulting in an electrically conductive network that is integrated within the tissue. Nano and microscale PEDOT filaments extend out from electrode sites, presumably forming within extracellular spaces. The cloud of PEDOT filaments penetrates out into the tissue far enough that it should be possible to bypass fibrous scar tissue and contact surrounding healthy neurons. These electrically functional, diffuse conducting polymer networks grown directly within tissue signify a new paradigm for creating soft, low impedance implantable electrodes.

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Registry

Crossref · 10.1088/1741-2560/4/2/l02

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Metadata

Authors
Richardson-Burns, S. M., Hendricks, J. L., & Martin, D. C.
Venue
Journal of Neural Engineering
Published
2007-02-02
Volume
4
Issue
2
Pages
L6-L13
ISSN
  • 1741-2552 (ISSN-L)
  • 1741-2560
OpenAlex
W2166204573
Cited by
195
References
8
FWCI
6.21
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Electrochemical polymerization of conducting polymers in living neural tissue. https://app.cochat.ai/papers/10.1088/1741-2560/4/2/l02
The paper
Richardson-Burns, S. M., Hendricks, J. L., & Martin, D. C. (2007). Electrochemical polymerization of conducting polymers in living neural tissue. Journal of Neural Engineering. https://doi.org/10.1088/1741-2560/4/2/l02

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.