Pre-clinical development of a wireless neural interface system for osseointegrated prosthetic control in sheep
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<jats:p>The Osseointegrated Neural Interface (ONI) is an innovative peripheral nerve interface design that houses a transected nerve and coupled electrical components within the medullary canal of long bones for eventual prosthetic control. Before the ONI can enter clinical testing, it must demonstrate longitudinal durability in an animal model analogous to the human anatomy. Adult sheep, possessing comparable weight and bone structure to adult humans, serve as the standard model for osseointegration research, solidifying them as the ideal animal for the development of an ONI. In this paper, we introduce an Ovine ONI model with a wireless, dual capsule implantable peripheral nerve interface capable of remote stimulation and recording of our subject’s nervous system 8 weeks post-implantation. This study investigates the interface design, surgical methodology, radiological evidence, and electrophysiological data that substantiate the osseointegrated approach to interfacing with the peripheral nervous system. We also explore the functional specifications, 3D printing, and coating processing steps for the capsule. Furthermore, our exploration includes the post-processing data analysis methodology used to validate our interface. This methodological study not only contributes crucial insights but also establishes the essential foundation for future goals of the ONI project. Emphasizing real-world applicability through closed-loop interfacing and enhanced efficacy of recording devices.</jats:p>
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Sears, Lucas, Ashlesha Deshmukh, Rishith Mereddy, Vinson Go, Brett Nemke, Yan Lu, Weifeng Zeng, Aaron J Suminski, et al. (n.d.). Pre-clinical development of a wireless neural interface system for osseointegrated prosthetic control in sheep. Frontiers in Neuroscience, 19. 10.3389/fnins.2025.1681136 Retrieved from https://hdl.handle.net/10161/33484.
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Scholars@Duke
James Morizio
Over the last three decades Dr. Morizio's research has been focused on exploring new analog CMOS microelectronics and systems for cross discipline research areas. One objective of his research is to provide disruptive sensor interface technology in niche applications areas to significantly improve system performance and capabilities beyond their current level of technology integration. These current research areas include wireless neural interface systems for closed loop in vivo electrophysiology instrumentation and highly efficient broadband transducer drivers for scalable ultrasonic microfluidic interfaces.
Dr. Morizio also has 35 years experience at Duke University teaching analog and digital VLSI circuit design courses and is the co-inventor of 8 issued patents.
Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.
