DocumentCode
1550782
Title
Stability of the interface between neural tissue and chronically implanted intracortical microelectrodes
Author
Liu, Xindong ; McCreery, Douglas B. ; Carter, Randy R. ; Bullara, Leo A. ; Yuen, Ted G H ; Agnew, William F.
Author_Institution
Neurological Res. Lab., Huntingdon Med. Res. Inst., Pasadena, CA, USA
Volume
7
Issue
3
fYear
1999
fDate
9/1/1999 12:00:00 AM
Firstpage
315
Lastpage
326
Abstract
The stability of the interface between neural tissue and chronically implanted microelectrodes is very important for obtaining reliable control signals for neuroprosthetic devices. Stability is also crucial for chronic microstimulation of the cerebral cortex. However, changes of the electrode-tissue interface can be caused by a variety of mechanisms. In the present study, intracortical microelectrode arrays were implanted into the pericruciate gyrus of cats and neural activities were recorded on a regular basis for several months. An algorithm based on cluster analysis and interspike interval analysis was developed to sort the extracellular action potentials into single units. We tracked these units based on their waveform and their response to somatic stimulation or stereotypical movements by the cats. Our results indicate that, after implantation, the electrode-tissue interface may change from day-to-day over the first 1-2 weeks, week-to-week for 1-2 months, and become quite stable thereafter. A stability index is proposed to quantify the stability of the electrode-tissue interface. The reasons for the pattern of changes are discussed
Keywords
biocontrol; bioelectric potentials; biomedical electrodes; brain; medical signal processing; microelectrodes; neurophysiology; prosthetics; cerebral cortex; chronic microstimulation; chronically implanted intracortical microelectrodes; cluster analysis; electrode-tissue interface; extracellular action potentials; interface stability; interspike interval analysis; neural tissue; neuroprosthetic devices; pericruciate gyrus of cats; reliable control signals; single units; somatic stimulation; spike sorting; stability index; stereotypical movements; Algorithm design and analysis; Animals; Cats; Connective tissue; Electrical stimulation; Electrodes; Microelectrodes; Neural prosthesis; Neurons; Stability;
fLanguage
English
Journal_Title
Rehabilitation Engineering, IEEE Transactions on
Publisher
ieee
ISSN
1063-6528
Type
jour
DOI
10.1109/86.788468
Filename
788468
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