In Vivo and In Vitro Electrochemical Impedance Spectroscopy of Acute and Chronic Intracranial Electrodes

Kyle P. O’Sullivan, Brian J. Philip, Jonathan L. Baker, John D. Rolston, Mark E. Orazem, Kevin J. Otto and Christopher R. Butson ()
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Kyle P. O’Sullivan: Department of Biomedical Engineering, University of Utah, 36 S Wasatch Dr, Salt Lake City, UT 84112, USA
Brian J. Philip: Department of Biomedical Engineering, University of Utah, 36 S Wasatch Dr, Salt Lake City, UT 84112, USA
Jonathan L. Baker: Brain and Mind Research Institute, Weill Cornell Medical College, 407 E 61st St, New York, NY 10065, USA
John D. Rolston: Brigham & Women’s Hospital, Harvard Medical School, Boston, MA 02215, USA
Mark E. Orazem: Department of Chemical Engineering, Herbert Wertheim College of Engineering, University of Florida, 1030 Center Drive, P.O. Box 116005, Gainesville, FL 32611-6005, USA
Kevin J. Otto: Department of Biomedical Engineering, Herbert Wertheim College of Engineering, University of Florida, 1275 Center Drive, NEB 363, P.O. Box 116131, Gainesville, FL 32611, USA
Christopher R. Butson: Department of Biomedical Engineering, University of Utah, 36 S Wasatch Dr, Salt Lake City, UT 84112, USA

Data, 2024, vol. 9, issue 6, 1-19

Abstract: Invasive intracranial electrodes are used in both clinical and research applications for recording and stimulation of brain tissue, providing essential data in acute and chronic contexts. The impedance characteristics of the electrode–tissue interface (ETI) evolve over time and can change dramatically relative to pre-implantation baseline. Understanding how ETI properties contribute to the recording and stimulation characteristics of an electrode can provide valuable insights for users who often do not have access to complex impedance characterizations of their devices. In contrast to the typical method of characterizing electrical impedance at a single frequency, we demonstrate a method for using electrochemical impedance spectroscopy (EIS) to investigate complex characteristics of the ETI of several commonly used acute and chronic electrodes. We also describe precise modeling strategies for verifying the accuracy of our instrumentation and understanding device–solution interactions, both in vivo and in vitro. Included with this publication is a dataset containing both in vitro and in vivo device characterizations, as well as some examples of modeling and error structure analysis results. These data can be used for more detailed interpretation of neural recordings performed on common electrode types, providing a more complete picture of their properties than is often available to users.

Keywords: electrochemical impedance spectroscopy; intracranial electrodes; in vivo; in vitro (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2024
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