NDLI: Coupling biotic and abiotic metrics to create a testbed for predicting neural electrode performance

Content Provider	IEEE Xplore Digital Library
Author	Prasad, A. Sankar, V. Dyer, A.T. Knott, E. Qing-Shan Xue Nishida, T. Reynolds, J.R. Shaw, G. Streit, W. Sanchez, J.C.
Copyright Year	2011
Description	Author affiliation: Department of Biomedical Engineering and the Miami Project to Cure Paralysis, University of Miami, Coral Gables, FL 33146, USA (Prasad, A.; Sanchez, J.C.) \|\| Department of Neuroscience, University of Florida, Gainesville, FL 32611, USA (Qing-Shan Xue; Shaw, G.; Streit, W.) \|\| Department of Chemistry, University of Florida, Gainesville, FL 32611, USA (Dyer, A.T.; Knott, E.; Reynolds, J.R.) \|\| Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL 32611, USA (Sankar, V.; Nishida, T.)
Abstract	In this work, we develop an experimental testbed that couples biotic and abiotic metrics for studying, quantifying and predicting the effects of chronic electrode implantation on neural electrode performance. The rationale is based on the observation that long-term functionality is the outcome of the interactions between the dynamics of the neuronal environment and the properties of the electrode itself. By combining and analyzing the substantially richer information available in the spatiotemporal dynamics of neurons with biotic and abiotic metrics such as biochemical markers, histochemistry, SEM imaging, and electrochemistry, we seek to quantitatively improve our understanding of the functional modifications underlying the long-term responses of electrode implants. The goal is to ultimately enable the design of future reliable interfaces. In our preliminary analysis using this biotic-abiotic approach of an electrode 18 days post-implant, we observed both structural and histochemical responses related to chronic electrode implantation. These were coupled to daily functional changes in electrode performance. Interestingly, these changes were not correlated with markers of brain injury at the time of electrode explantation. Future work using this multidisciplinary approach is directed to providing a detailed perspective into long-term microelectrode performance.
Starting Page	3020
Ending Page	3023
File Size	1135997
Page Count	4
File Format	PDF
ISBN	9781424441211
ISSN	1557170X
e-ISBN	9781457715891
e-ISBN	9781424441228
DOI	10.1109/IEMBS.2011.6090827
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neurons Measurement Signal to noise ratio Microelectrodes Electric potential Tungsten
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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