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μ-Foil Polymer Electrode Array for Intracortical Neural Recordings

Authors :
Lars Wallman
Philipp Kohler
Jens Schouenborg
Fredrik Ejserholm
Marcus Granmo
Martin Bengtsson
Source :
IEEE Journal of Translational Engineering in Health and Medicine, IEEE Journal of Translational Engineering in Health and Medicine, Vol 2, Pp 1-7 (2014)
Publication Year :
2013

Abstract

We have developed a multichannel electrode array—termed \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}\(\mu \) \end{document}-foil—that comprises ultrathin and flexible electrodes protruding from a thin foil at fixed distances. In addition to allowing some of the active sites to reach less compromised tissue, the barb-like protrusions that also serves the purpose of anchoring the electrode array into the tissue. This paper is an early evaluation of technical aspects and performance of this electrode array in acute in vitro/in vivo experiments. The interface impedance was reduced by up to two decades by electroplating the active sites with platinum black. The platinum black also allowed for a reduced phase lag for higher frequency components. The distance between the protrusions of the electrode array was tailored to match the architecture of the rat cerebral cortex. In vivo acute measurements confirmed a high signal-to-noise ratio for the neural recordings, and no significant crosstalk between recording channels.<br />We have developed a multichannel electrode array, termed m-foil, that comprises ultrathin and flexible electrodes protruding from a thin foil at fixed distances. This study is an early evaluation of technical aspects and performance of this electrode array in acute in vitro/in vivo experiments. The in vivo acute measurements showed a good signal-to-noise ratio for the neural recordings, and no significant cross-talk between recording channels.

Details

ISSN :
21682372
Volume :
2
Database :
OpenAIRE
Journal :
IEEE journal of translational engineering in health and medicine
Accession number :
edsair.doi.dedup.....efdb50d045fca61fd5bb0226173164a8