This BRP grant application describes a pioneering, integrated lightweight neuromotor prosthetic microsystem (NMP) for paralyzed humans: NMPs use neural activity as a direct output to machines that run assistive devices. To meet this goal we have assembled an interdisciplinary team that combines leaders in neuroscience (Donoghue) and engineering (Nurmikko), with support from computer science (Black) at Brown University and neurology/neurosurgery at Brown and at Massachusetts General Hospital (Hochberg);experts in NMP design, development, manufacturing and commercialization from Cybernetics, Inc. (CKI), a neurotechnology company;and experts in neural prosthesis development and human application at the Cleveland FES center/Case Western University (H. Peckham/R. Kirsch). We will develop an integrated and implantable microelectronic neurosensor system that features on-chip signal processing and wide bandwidth transcutaneous wireless transmission capabilities. The high performance microsystem incorporates cutting-edge ultralow power microelectronics and is designed to be technologically flexible and modular, to enable scaling to increasingly complex neural signal extraction and manipulation. Its components imbed adaptive processors for automated calibration and set-up which exploit neural decoding algorithms, currently being developed at Brown, to provide a stable, multipurpose output signal. The microsystem implant will be first tested in animal models (motor cortex of monkeys) to establish efficacy, biocompatibility and biostability. We will input learning acquired from ongoing and future human trial patients with the present percutaneous cabling system to establish principles of human NMP operation for adapting the implantable microsystem design, the role of learning in NMP use, and the limits of human NMP control. We will pursue the federal regulatory pathways to gain approval for the NMP microsystem while developing the assistive technology for human patients. The end goal of this BRP grant is to achieve the implantation and testing of the new microsystem chronically in a human patient. t 'The ultimate vision and guiding light for this BRP proposal is to develop the technological infrastructure to achieve a longer term goal, namely system is the restoration of semi-autonomous, closed-loop, distributed- feedback control of a limb that has lost spinal cord connection to the motor cortex.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB007401-05
Application #
8116598
Study Section
Special Emphasis Panel (ZRG1-BDCN-K (10))
Program Officer
Peng, Grace
Project Start
2007-06-01
Project End
2014-05-31
Budget Start
2011-06-01
Budget End
2014-05-31
Support Year
5
Fiscal Year
2011
Total Cost
$1,300,399
Indirect Cost
Name
Brown University
Department
Neurosciences
Type
Schools of Medicine
DUNS #
001785542
City
Providence
State
RI
Country
United States
Zip Code
02912
Yin, Ming; Borton, David A; Komar, Jacob et al. (2014) Wireless neurosensor for full-spectrum electrophysiology recordings during free behavior. Neuron 84:1170-82
Yin, Ming; Li, Hao; Bull, Christopher et al. (2013) An externally head-mounted wireless neural recording device for laboratory animal research and possible human clinical use. Conf Proc IEEE Eng Med Biol Soc 2013:3109-14
Borton, David A; Yin, Ming; Aceros, Juan et al. (2013) An implantable wireless neural interface for recording cortical circuit dynamics in moving primates. J Neural Eng 10:026010
Homer, Mark L; Nurmikko, Arto V; Donoghue, John P et al. (2013) Sensors and decoding for intracortical brain computer interfaces. Annu Rev Biomed Eng 15:383-405
Yin, Ming; Borton, David A; Aceros, Juan et al. (2013) A 100-channel hermetically sealed implantable device for chronic wireless neurosensing applications. IEEE Trans Biomed Circuits Syst 7:115-28
Shaikhouni, Ammar; Donoghue, John P; Hochberg, Leigh R (2013) Somatosensory responses in a human motor cortex. J Neurophysiol 109:2192-204
Perge, János A; Homer, Mark L; Malik, Wasim Q et al. (2013) Intra-day signal instabilities affect decoding performance in an intracortical neural interface system. J Neural Eng 10:036004
Ajiboye, A Bolu; Simeral, John D; Donoghue, John P et al. (2012) Prediction of imagined single-joint movements in a person with high-level tetraplegia. IEEE Trans Biomed Eng 59:2755-65
Aceros, Juan; Yin, Ming; Borton, David A et al. (2012) Polymeric packaging for fully implantable wireless neural microsensors. Conf Proc IEEE Eng Med Biol Soc 2012:743-6
Hochberg, Leigh R; Bacher, Daniel; Jarosiewicz, Beata et al. (2012) Reach and grasp by people with tetraplegia using a neurally controlled robotic arm. Nature 485:372-5

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