The goal of the proposed BRP is to lay the foundation to make wireless neural interface technology a turnkey technology that can be disseminated to the neuroscience and clinical research communities. Within 24 months this project will generate initial de ices and performance data as a nucleus for a first generation of wireless interfaces for research and acute and chronic clinical use. Further >36 months of funding will be sought separately to render these init al devices into robust tools that can be used in the preparation of a later FDA 510 k application. In order 0 achieve this goal, we will) refine our recently developed and demonstrated wireless neural interface technology, focusing on making smaller and failsafe VLSI signal processing and telemetry in real w rid environments, 2) develop next generation system integration and electronic packaging technologies, 3) develop user-friendly software interfaces and external electronic systems, 4) generate longer in vivo data of wireless stimulation and recording systems to validate the integrated systems. This higher interdisciplinary research will be carried out in partnership of expertise in micro and nano systems Standard Integration Technology, Vl51, and neurophysiology at the University of Utah, Stanford University, the Fraunhofer Institute for Reliability and Micro integration laboratory Utah and Ripple.

Public Health Relevance

Relevance to public health Wireless stimulation and recording neural interfaces with a high number of channels will allow applied and basic neuroscientists to conduct their electrophysiological experimentation in freely behaving animals, which will serve as basic study prior to application in patients with neurological disorders or prosthetic needs to restore disabled sensory and motor functions. Eventually, chronically implantable, wireless neural interfaces will allow long term clinical and therapeutic use for patients, eliminating tethering and friction forces and risk of infection associated with using a bundle of cables, and allowing more convenience in movement and minimal aesthetic disturbance to the patients.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS064318-02
Application #
7900493
Study Section
Special Emphasis Panel (ZRG1-ETTN-F (03))
Program Officer
Ludwig, Kip A
Project Start
2009-08-01
Project End
2013-07-31
Budget Start
2010-08-01
Budget End
2013-07-31
Support Year
2
Fiscal Year
2010
Total Cost
$1,420,690
Indirect Cost
Name
University of Utah
Department
Engineering (All Types)
Type
Schools of Engineering
DUNS #
009095365
City
Salt Lake City
State
UT
Country
United States
Zip Code
84112
Kao, Jonathan C; Nuyujukian, Paul; Ryu, Stephen I et al. (2017) A High-Performance Neural Prosthesis Incorporating Discrete State Selection With Hidden Markov Models. IEEE Trans Biomed Eng 64:935-945
Nuyujukian, Paul; Fan, Joline M; Kao, Jonathan C et al. (2015) A high-performance keyboard neural prosthesis enabled by task optimization. IEEE Trans Biomed Eng 62:21-29
Xie, Xianzong; Rieth, Loren; Caldwell, Ryan et al. (2015) Effect of bias voltage and temperature on lifetime of wireless neural interfaces with Al ?O? and parylene bilayer encapsulation. Biomed Microdevices 17:1
Foster, Justin D; Nuyujukian, Paul; Freifeld, Oren et al. (2014) A freely-moving monkey treadmill model. J Neural Eng 11:046020
Xie, Xianzong; Rieth, Loren; Negi, Sandeep et al. (2014) SELF ALIGNED TIP DEINSULATION OF ATOMIC LAYER DEPOSITED AL2O3 AND PARYLENE C COATED UTAH ELECTRODE ARRAY BASED NEURAL INTERFACES. J Micromech Microeng 24:035003
Xie, Xianzong; Rieth, Loren; Williams, Layne et al. (2014) Long-term reliability of Al2O3 and Parylene C bilayer encapsulated Utah electrode array based neural interfaces for chronic implantation. J Neural Eng 11:026016
Fan, Joline M; Nuyujukian, Paul; Kao, Jonathan C et al. (2014) Intention estimation in brain-machine interfaces. J Neural Eng 11:016004
Nuyujukian, Paul; Kao, Jonathan C; Fan, Joline M et al. (2014) Performance sustaining intracortical neural prostheses. J Neural Eng 11:066003
Xie, Xianzong; Rieth, Loren; Caldwell, Ryan et al. (2013) Long-term bilayer encapsulation performance of atomic layer deposited Al?O? and Parylene C for biomedical implantable devices. IEEE Trans Biomed Eng 60:2943-51
Yoo, Je-Min; Negi, Sandeep; Tathireddy, Prashant et al. (2013) Excimer laser deinsulation of Parylene-C on iridium for use in an activated iridium oxide film-coated Utah electrode array. J Neurosci Methods 215:78-87

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