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Surgical Training for the Implantation of Neocortical Microelectrode Arrays Using a Formaldehyde-fixed Human Cadaver Model
Published on: November 19, 2017
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Clinical applications of penetrating neural interfaces and Utah Electrode Array technologies
Richard A Normann1, Eduardo Fernandez
1Departments of Bioengineering and Ophthalmology, University of Utah, Salt Lake City, UT 84112, USA.
Journal of Neural Engineering
|October 21, 2016
Summary
Penetrating microelectrode arrays show promise for restoring function by recording motor commands from the central nervous system and peripheral nervous system (PNS). These advanced devices could significantly improve the quality of life for patients with neurological disorders.
Area of Science:
- Biomedical Engineering
- Neuroscience
- Rehabilitation Technology
Background:
- Advancements in penetrating microelectrode arrays are crucial for neural interfacing.
- Existing technologies face challenges in long-term stability and biocompatibility.
Purpose of the Study:
- To review recent progress in microelectrode array development.
- To highlight therapeutic applications of Utah electrode arrays and Utah slanted electrode arrays.
- To explore future potential sites for microelectrode interventions.
Main Methods:
- Utilized Utah electrode arrays and Utah slanted electrode arrays.
- Applied devices for recording volitional skeletal motor commands from the central nervous system.
- Employed devices for recording motor commands and evoking somatosensory percepts in the peripheral nervous system (PNS).
Main Results:
- Demonstrated successful recording of motor commands from the central nervous system.
- Showcased the ability to record motor commands and evoke percepts in the PNS.
- Identified potential new sites for microelectrode array applications.
Conclusions:
- Microelectrode arrays offer significant therapeutic potential for central and peripheral nervous system disorders.
- Further research into novel implantation sites could enhance patient quality of life.
- Utah electrode arrays and their variants are key tools in neuroprosthetic development.

