Stability of the interface between neural tissue and chronically implanted intracortical microelectrodes
- 1 September 1999
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Rehabilitation Engineering
- Vol. 7 (3), 315-326
- https://doi.org/10.1109/86.788468
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
This publication has 14 references indexed in Scilit:
- An auditory prosthesis based on microstimulation in the cochlear nucleus: long-term stability of the implanted microelectrodesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A characterization of the effects on neuronal excitability due to prolonged microstimulation with chronically implanted microelectrodesIEEE Transactions on Biomedical Engineering, 1997
- Automatic sorting of multiple unit neuronal signals in the presence of anisotropic and non-Gaussian variabilityJournal of Neuroscience Methods, 1996
- Multiple single-unit recordings from the CNS using thin-film electrode arraysIEEE Transactions on Rehabilitation Engineering, 1993
- Visual sensations produced by intracortical microstimulation of the human occipital cortexMedical & Biological Engineering & Computing, 1990
- Unsupervised waveform classification for multi-neuron recordings: a real-time, software-based system. II. Performance comparison to other sortersJournal of Neuroscience Methods, 1988
- Unsupervised waveform classification for multi-neuron recordings: a real-time, software-based system. I. Algorithms and implementationJournal of Neuroscience Methods, 1988
- A microelectrode for delivery of defined charge densitiesJournal of Neuroscience Methods, 1983
- Single neuron recording from motor cortex as a possible source of signals for control of external devicesAnnals of Biomedical Engineering, 1980
- Long-term chronic recording from cortical neuronsExperimental Neurology, 1976