Slutzky, Marc, MD, PhD



Slutzky, Marc, MD, PhD


Associate Professor


Office Phone



Neurology, Physiology, and Physical Medicine and Rehabilitation


Lurie 8-121

Areas of Research

Electrophysiology, Motor Control, Movement & Rehabilitation

Training Grants

Training in the Neurobiology of Movement and Rehabilitation Sciences

NU Scholar Profile

Recent Publications on PubMed

Current Research

Current Research

The goal of my research is to help people with neurologic disorders, especially those who are severely paralyzed from stroke, spinal cord injury, cerebral palsy, or ALS. Our research centers around using neural prosthetics, i.e., human machine interfaces, to help restore or replace function of the injured nervous system. We study brain-machine interfaces in monkeys and humans, allowing them to control a computer cursor or virtual hand directly from their brain signals. These signals are obtained via electrodes implanted in or on the surface of the brain or dura mater. In addition, we are investigating the potential to decode a person’s intended speech directly from his or her brain and using this to restore communication to people who have lost it due to severe paralysis. We also use this powerful paradigm to study the underlying relationship between different types of brain signals, for example, the relationship between field potentials (summed from many neurons in the network) and action potentials of individual neurons. Finally, we are developing a myoelectric computer interface to help survivors of stroke regain function in their arms.

Selected Publications

Selected Publications

Slutzky, M.W., Jordan, L.R., Krieg, T., Chen, M., Mogul, D.J., and Miller, L.E. Optimal spacing of surface electrode arrays for brain-machine interface applications. Journal of Neural Engineering 7(2), 2010, 26004 (featured/cover article). PMCID: PMC2844916.

Slutzky, M.W., Jordan, L.R., Bauman, M.J., and Miller, L.E. A new rodent behavioral paradigm for studying forelimb movement. Journal of Neuroscience Methods 192 228-232, 2010. PMCID: PMC2943042
Slutzky, M.W., Jordan, L.R., Lindberg, E., and Miller, L.E. Decoding rat forelimb movement direction from epidural and intracortical field potentials. Journal of Neural Engineering 8, 2011, 036013. PMCID: PMC3124348.

Stevenson, I.H., Cherian, A., London, B.M., Sachs, N.A., Lindberg, E., Reimer, J, Slutzky, M.W., Hatsopoulos, N.G., Miller, L.E., and Kording, K.P. Statistical assessment of the stability of neural movement representations. Journal of Neurophysiology 106(2), pp. 764-774, 2011, PMCID: PMC3154833.
Flint, R.D., Ethier, C., Oby, E.R., Miller, L.E., and Slutzky, M.W. Local field potentials allow accurate decoding of muscle activity. Journal of Neurophysiology, 108(1), 2012, pp. 18-24, PMCID: PMC3434606.

Flint, R.D., Lindberg, E.W., Jordan, L.R., Miller, L.E., and Slutzky, M.W. Accurate decoding of reaching movements from field potentials in the absence of spikes. Journal of Neural Engineering, 9(4), 2012, 046006, PMCID: PMC3429374.

Flint, R.D., Wright, Z.A., Scheid, M.R., and Slutzky, M.W. Long term, stable brain machine interface performance using local field potentials and multiunit spikes. Journal of Neural Engineering 10 (5) 2013, 056005, PMID: 23918061.

Wright, Z.A., Rymer, W.Z., and Slutzky, M.W. Reducing abnormal muscle co-activation after stroke using a myoelectric-computer interface: a pilot study. Neurorehabilitation and Neural Repair (in press).