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Spatiotemporal characteristics of neural activity in tibial nerves with carbon nanotube yarn electrodes.
- Source :
-
Journal of neuroscience methods [J Neurosci Methods] 2019 Dec 01; Vol. 328, pp. 108450. Date of Electronic Publication: 2019 Sep 29. - Publication Year :
- 2019
-
Abstract
- Background: Reliable interfacing with peripheral nervous system is essential to extract neural signals. Current implantable peripheral nerve electrodes cannot provide long-term reliable interfaces due to their mechanical mismatch with host nerves. Carbon nanotube (CNT) yarns possess excellent mechanical flexibility and electrical conductivity. It is of great necessity to investigate the selectivity of implantable CNT yarn electrodes.<br />New Method: Neural interfaces were fabricated with CNT yarn electrodes insulated with Parylene-C. Acute recordings were carried out on tibial nerves of rats, and compound nerve action potentials (CNAPs) were electrically evoked by biphasic current stimulation of four toes. Spatiotemporal characteristics of neural activity and spatial selectivity of the electrodes, denoted by selectivity index (SI), were analyzed in detail.<br />Results: Conduction velocities of sensory afferent fibers recorded by CNT yarn electrodes varied between 4.25 m/s and 37.56 m/s. The SI maxima for specific toes were between 0.55 and 0.99 across seven electrodes. SIs for different CNT yarn electrodes are significantly different among varied toes.<br />Comparison With Existing Methods: Most single CNT yarn electrode with a ∼ 500 μm exposed length can be sensitive to one or two specific toes in rodent animals. While, it is only possible to discriminate two non-adjacent toes by multisite TIME electrodes.<br />Conclusion: Single CNT yarn electrode exposed ∼ 500 μm showed SI values for different toes comparable to a multisite TIME electrode, and had high spatial selectivity for one or two specific toes. The electrodes with cross section exposed could intend to be more sensitive to one specific toe.<br /> (Copyright © 2019 Elsevier B.V. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1872-678X
- Volume :
- 328
- Database :
- MEDLINE
- Journal :
- Journal of neuroscience methods
- Publication Type :
- Academic Journal
- Accession number :
- 31577919
- Full Text :
- https://doi.org/10.1016/j.jneumeth.2019.108450