Barrese JC, Rao N, Paroo K, Triebwasser C, Vargas-Irwin C, Franquemont L, Donoghue JP. Failure mode analysis of silicon-based intracortical microelectrode arrays in non-human primates. J Neural Eng. 2013 Dec;10(6):066014.
Jarosiewicz B, Masse NY, Bacher D, Cash SS, Eskandar E, Friehs G, Donoghue JP, Hochberg LR. Advantages of closed-loop calibration in intracortical brain-computer interfaces for people with tetraplegia. J Neural Eng. 2013 Aug;10(4):046012.
Perge JA, Homer ML, Malik WQ, Cash S, Eskandar E, Friehs G, Donoghue JP, Hochberg LR. Intra-day signal instabilities affect decoding performance in an intracortical neural interface system. J Neural Eng. 2013 Jun;10(3):036004.
Shaikhouni A, Donoghue JP, Hochberg LR. Somatosensory responses in a human motor cortex. J Neurophysiol. 2013 Apr;109(8):2192-204.
Donoghue, JP (2008) Bridging the Brain to the World: A Perspective on Neural Interface Systems John P. Neuron 60, pp. 511-521, 2008.
Wu, W., Gao, Y., Bienenstock, E., Donoghue, J. P., Black, M.J. (2006) Bayesian population decoding of motor cortical activity using a Kalman filter Neural Computation: 2006; 18(1):80-118. PDF
Kim, S.-P., Wood, F., Fellows, M., Donoghue, J. P., Black, M. J. (2006) Statistical analysis of the non-stationarity of neural population codes. BioRob 2006, The first IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 295-299, Piza, Italy, February 2006. PDF
Hochberg, L.R., Serruya, M.D, Friehs, G.M, Mukand, J.A., Saleh, M, Caplan, A.H., Branner, A., Chen, D., Penn, R.D., and Donoghue, J.P. (2006) Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature, 442, 164-171 (13 July 2006) Nature issue: http://www.nature.com/nature/journal/v442/n7099/index.html Web Focus on Brain-Machine Interfaces: http://www.nature.com/nature/focus/brain/index.html
Shoham, S., Paninski, L.M., Fellows, M.R., Hatsopoulos, N.G., Donoghue, J.P., Normann, R.A. (2005). Statistical Encoding Model for a Primary Motor Cortical Brain-Machine Interface. IEEE Transactions on Biomedical Engineering, 52(7): 1312-1322. PDF
Paninski, L., Fellows, M.R., Hatsopoulos, N.G., and Donoghue, J.P. (2004) Spatiotemporal tuning of motor cortical neurons for hand position and velocity. Journal of Neurophysiology 91(1): 515-32.
Donoghue, J. P., Nurmikko, A., Friehs, G., and Black, M., J. (2004) Chapter 63. Development of a neuromotor prosthesis for humans, in Advances in Clinical Neurophysiology,Supplements to Clinical Neurophysiology, Vol. 57, [Proceedings of the 27th International Congress of Clinical Neurophysiology, AAEM 50th Anniversary and the 57th Annual Meeting of the ACNS Joint Meeting, San Francisco, CA, USA, 15-20 September 2003] M. Hallett, L.H. Phillips II, D.L. Schomer, J.M. Massey, Eds., pp.588-602. PDF
Song, Y. K., Patterson, W. R., Bull, C. W., Beals, J., Hwang, N., Deangelis, A. P., Lay, C., McKay, J. L., Nurmikko, A. V., Fellows, M. R., Simeral, J. D., Donoghue, J. P., Connors, B. W. (2004) Development of a chipscale integrated microelectrode/microelectronic device for brain implantable neuroengineering applications. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2005 June; 13(2): 220-226.
Serruya MD, Donoghue JP. (2003) Chapter III: Design Principles of a Neuromotor Prosthetic Device in Neuroprosthetics: Theory and Practice, ed. Kenneth W. Horch, Gurpreet S. Dhillon. Imperial College Press. pages 1158-1196.
Serruya, M.D., Hatsopoulos, N.G., Paninski, L., Fellows, M.R., and Donoghue, J.P. (2002) Instant neural control of a movement signal. Nature 416:141-2. PDF
Donoghue, J.P. (2002) Connecting cortex to machines: recent advances in brain interfaces. Nature Neuroscience Supplement, November 2002. 5:1085-8. PDF
Baker, J.T., Donoghue, J.P., and Sanes, J.N. (1999) Gaze direction modulates finger movement activation patterns in human cerebral cortex. Journal of Neuroscience. 19(22):10044-52.
Our laboratory investigates how the brain turns thought into voluntary behaviors and how that knowledge can be used to help persons with paralysis. We study how populations of neurons represent and transform information as a motor plan becomes movement. This approach has required the creation of a novel recording array to study neural ensembles. With the knowledge we have gained about movement representation, we have translated our findings to a clinical application in which humans with paralysis can use their neurons directly to control devices.
Donoghue's laboratory builds on pioneering research in neurotechnology. Brown, which has established a team of internationally recognized scientists and engineers in this emerging field, seeks to develop brain machine interfaces that can restore independence to paralyzed humans and potentially augment human capabilities.
Spinal cord injury, stroke, multiple sclerosis, and related nervous system diseases are disabling disorders of movement that currently affect millions of people in the United States. Donoghue's lab investigates how the brain turns thought into voluntary behaviors. At the core of this problem is understanding higher level neural coding or how populations of neurons represent complex information. To study neural coding, scientists in the lab are developing novel multielectrode recording arrays suitable for chronic implantation in the cerebral cortex. The lab is using these multielectrode arrays to examine the coding of goal-directed reaching by ensembles of cerebral cortical neurons and to examine how ensembles change when a new motor skill is learned.
The laboratory works closely with several other Brown Brain Science faculty members to develop and test theories of higher order representation and to generate new mathematical tools to examine neural codes. Brain Science faculty also are applying the laboratory's knowledge of neural codes for movement to build brain computer interfaces. These devices can potentially be used as a neural prosthetic to restore movement to paralyzed humans. Along with a synergy of talent from the departments of Neuroscience, Computer Science, Electrical Engineering, and the Medical School, Donoghue's laboratory recently demonstrated the neurotechnology of these devices in landmark proof of concept experiments (Nature 2002). Using this innovative technology, nonhuman primates (monkeys) were able to play videogames directly through brain outputs. The signals are retrieved by unique microelectronic circuitry, and decoded by advanced mathematical and computational techniques. Technologies enable neural signals from a normal brain to bypass injured or diseased spinal cord, nerves, or muscle to provide a new output that can control artificial limbs, robotic equipment, or even the patient's own muscles. The devices can potentially be applied to remote control of computer interfaces or semiautonomous air or sea craft. With colleagues, Donoghue formed a new company (Cyberkinetics, Inc.) that will use tiny arrays of electrodes to capture the information encoded in the firing patterns of populations of neurons to control a computer and thence any device that can be computer controlled.
Ongoing Research Support
PI: John P. Donoghue
National Institute of Neurological Disorders and Stroke (NINDS) - "Static and Dynamic Organization of Primate Motor Cortex"
Annual Direct Costs: $250,000; Effort 11.1%
Description: This project uses multichannel recordings in monkeys to examine the role of neural population codes in forming higher level representations in motor cortex.
Veterans Health Administration
Co-PI: John Donoghue; PI: Roy Aaron
"Rebuilding, Regenerating and Restoring Function After Traumatic Limb Loss"
Annual Direct Cost: $94,000; Effort 1%
Description: This project addresses the rebuilding, regeneratin and restoring function after traumatic limb
2013 Winner, First Israel Brain Technologies Global BRAIN Prize
2012 Elected Fellow, Institute of Medicine
2012 Erwin Schroedinger Prize 2012 (with Patrick vonder Smagt), Helmholtz-Gemeinschaft Deutscher Forschungszentren
2011 Community Service Award, Paralysis Association of Rhode Island
2011 Elected Fellow, American Academy of Arts and Sciences,
2011 Carmichael Medal, Queens Square Neurology, University College London
2011 Top 100 Irish American Educators
2010 Roche/Nature Medicine Translational Medicine Award (shared with Helen Mayberg)
2010 "Pioneer in Medicine" Award International Brain Mapping Society
2009 "In Praise of Medicine" Award Erasmus University Rotterdam
2007 K.J. Zülch Prize (Max Planck/Reemstma Foundation)
Javitts Award (NINDS 2002)
Henry Merritt Wriston Professorship
March of Dimes Foundation, Basil O'Connor Fellowship
International Brain Research Organization (IBRO) 1999 travel award for World Congress of Neuroscience
Faculty of International School of Neuroscience
Discover Award for Innovation (DIscover Magazine)
Gold Electrode Award: Neurotechnology Researcher of the Year. Neurotechnology Reports, 2004
Popular Mechanics 2005 Breakthrough Award
Nominee, 2005 World Technology Award in the category of Health and Medicine
Wired Magazine, Biggest Discoveries of 2005
2006 Neurobotics…The Future of Thinking? Exhibit at Science Museum of London
Nurmikko, Arto L. Herbert Ballou University Professor of Engineering, Professor of Physics
Truccolo, Wilson Pablo J. Salame '88 Goldman Sachs Assistant Professor of Computational Neuroscience, Assistant Professor of Neuroscience
Institute for Medicine (Fellow)
American Academy of Arts and Sciences (Fellow)
American Association for the Advancement of Science (Fellow)
Society for Neuroscience
American Association of Anatomists
International Brain Research Organization
New York Academy of Sciences
The American Physiological Society
Neural Control of Movement
History of Neuroscience
American Institute for Medical and Biological Engineering (Fellow)
I direct the neurobiology section of the Medical School course in Brain Science.