Conference proceeding
Photolytic uncaging of neurotransmitters as a control and stimulation device for neural tissues
Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology, v 3, pp 2072-2073
2002
Abstract
Methods are available that can 'cage' neurotransmitters, precluding them from binding with receptors in the nervous system. They are thus rendered biologically inert until photolytic uncaging cleaves their 'cage'. We explored uncaging of MNI-glutamate with implanted fiber optics as a stimulation technology. The spinal cord was bathed in the caged glutamate at different concentrations, and a flash photolysis unit projected brief, spatially concentrated bursts of light into the lumbar spinal cord through a fiberoptic light guide. Forces generated at the ankle were measured in 3 dimensions. Responses were tested at discrete depths in the lumbar cord, with the strongest responses located in the 900 to 1100 /spl mu/m range. Our results indicate feasibility of this approach for engineering a neuroprosthesis. The advantage of this technology is that in principle excitation, inhibition, and modulation state of neural circuits can all be controlled.
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Details
- Title
- Photolytic uncaging of neurotransmitters as a control and stimulation device for neural tissues
- Creators
- S.F Giszter - Drexel UniversityJ.T Scabich - Drexel UniversityG Ellis-Davies - Drexel UniversityK.J Simansky - Drexel UniversityM.A Lemay - Drexel University
- Publication Details
- Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology, v 3, pp 2072-2073
- Publisher
- IEEE
- Number of pages
- 2
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Neurobiology and Anatomy; Pharmacology and Physiology
- Web of Science ID
- WOS:000180194801016
- Other Identifier
- 991019167452204721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Engineering, Biomedical
- Instruments & Instrumentation
- Radiology, Nuclear Medicine & Medical Imaging