DocumentCode
2429239
Title
An in vitro system for modeling brain reactive responses and changes in neuroprosthetic device impedance
Author
Frampton, John P. ; Hynd, Mathew R. ; Vargun, Aytekin ; Roysam, Badri ; Shain, William
Author_Institution
Dept. of Biomed. Sci., State Univ. of New York at Albany, Albany, NY, USA
fYear
2009
fDate
3-6 Sept. 2009
Firstpage
7155
Lastpage
7158
Abstract
Currently available methods for analyzing the structural properties of neural tissue are limited by the frequency at which data can be collected and by the need to sacrifice the specimen to correlate histology with other data. Electrical impedance spectroscopy (EIS) can be used to complement conventional histological and imaging-based methods by measuring real-time electrical data that can be ascribed to changes in tissue composition and structure. This report describes an impedance-based method for the analysis and modeling of the electrical properties of three-dimensional neural tissue constructs in vitro. This model system was used to assess the effects of cell density, type and organization on neuroprosthetic device electrode performance.
Keywords
bioelectric phenomena; biomedical electrodes; brain; cellular biophysics; electric impedance measurement; neurophysiology; prosthetics; 3D neural tissue construct electrical properties; brain reactive response modeling; cell density effects; cell organization effects; cell type effects; electrical impedance spectroscopy; impedance based method; in vitro system; neural tissue structural properties; neuroprosthetic device electrode performance; neuroprosthetic device impedance changes; Animals; Biomedical Engineering; Brain; Cells, Cultured; Electric Impedance; Electrodes, Implanted; Electrophysiological Phenomena; Microelectrodes; Models, Neurological; Prostheses and Implants; Spectrum Analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location
Minneapolis, MN
ISSN
1557-170X
Print_ISBN
978-1-4244-3296-7
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2009.5335352
Filename
5335352
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