2021
Seo G, Kishta A, Mugler E, Slutzky MW, Roh J. Myoelectric interface training enables targeted reduction in abnormal muscle co-activation. J Neuroeng Rehabil. 2022 Jul 1;19(1):67. doi: 10.1186/s12984-022-01045-z.
Flint RD, Li Y, Wang PT, Vaidya M, Barry A, Ghassemi M, Tomic G, Brkic N, Ripley D, Liu C, Kamper D, Do AH, Slutzky MW. Noninvasively recorded high-gamma signals improve synchrony of force feedback in a novel neurorehabilitation brain-machine interface for brain injury. J Neural Eng. 2022 Jun 1;19(3):10.1088/1741-2552/ac7004. doi: 10.1088/1741-2552/ac7004.
Portable, open-source solutions for estimating wrist position during reaching in people with stroke
JZ Nie, JW Nie, NT Hung, RJ Cotton, MW Slutzky – Scientific reports, 2021
Electromyogram (EMG) removal by adding sources of EMG (ERASE): A novel ICA-based algorithm for removing myoelectric artifacts from EEG. Li, Y., Wang, P.T., Vaidya, M.P., Flint, R.D., Liu, C.Y., Slutzky, M.W., and Do, A.H. Frontiers in Neuroscience 14, 2021, p. 597941. doi: 10.3389/fnins.2020.597941. PMC7873899.
Wearable myoelectric interface enables high-dose, home-based training in severely impaired chronic stroke survivors. Hung N.T., Paul V., Prakash P., Kovach T., Tacy G., Tomic G., Park S., Jacobson T., Jampol A., Patel P., Chappel A., King E., and Slutzky M.W. Annals of Clinical and Translational Neurology 8 (9), 2021, pp. 1895-1905. DOI:10.1002/acn3.51442 PMCID: PMC8419406.
Memory reactivation during sleep improves execution of a challenging motor skill. Cheng, L., Che, T., Tomic, G., Slutzky, M.W., and Paller, K.A. Journal of Neuroscience 2021. DOI: 10.1523/JNEUROSCI.0265-21.2021.
2020
The representation of finger movement and force in human motor and premotor cortices. Flint, R.D., Tate, M.C., Li, K., Templer, J.W., Rosenow, J.M., Pandarinath, C., and Slutzky, M.W. eNeuro 7 (4), 2020 https://doi.org/10.1523/ENEURO.0063-20.2020. PMC7438059.
Refinement of high-gamma EEG features from TBI patients with hemicraniectomy using an ICA informed by simulated myoelectric artifacts. Li, Y., Wang, P.T., Vaidya, M.P., Flint, R.D., Liu, C.Y., Slutzky, M.W., and Do, A.H. Frontiers in Neuroscience 14, 2020, p. 1214. doi.org/10.3389/fnins.2020.599010. PMC
2019
Myoelectric computer interface training for reducing co-activation and enhancing arm movement in chronic stroke survivors: a randomized trial. Mugler, E.M., Tomic, G., Singh, A., Hameed, S., Lindberg, E.W., Gaide, J., Alqadi, M., Robinson, E., Dalzotto, K., Limoli, C., Lee, J., and Slutzky, M.W. Neurorehabilitation Neural Repair 2019.
Hemicraniectomy in traumatic brain injury: a noninvasive platform to investigate high gamma activity for brain machine interfaces. Vaidya, M., Flint, R.D., Wang, P.T., Barry, A., Li, Y., Ghassemi, M., Tomic, G., Yao, J., Carmona, C., Mugler, E.M., Driver, S., Brkic, N., Ripley, D., Liu, C., Kamper, D., Do, A.H., and Slutzky, M.W. IEEE Trans. Neural Systems and Rehabilitation 2019 (in press).
Speech Synthesis from ECoG using Densely Connected 3D Convolutional Neural Networks. Journal of Neural Engineering Angrick, M, Herff, C, Mugler, M, Tate, MC, Slutzky, MW, Krusienski, D, Schultz, T. , 2019 (in press).
Generating natural, intelligible speech from brain activity in motor, premotor and interior frontal cortices. Herff, C., Diener, L., Angrick, M., Mugler, E., Tate, M.C., Krusienski, D, Slutzky, M.W., and Schultz, T. Frontiers in Neuroscience 13, 2019, p. 1267. https://doi.org/10.3389/fnins.2019.01267. PMC6882773.
2018
Emergent coordination underlying learning to reach to grasp with a brain-machine interface. Vaidya, M., Balasubramanian, K., Southerland, J., Badreldin, I., Eleryan, A., Shattuck, K., Gururangan, S., Slutzky, M.W., Osborne, L., Fagg, A., Oweiss, K., and Hatsopoulos, N.G. Journal of Neurophysiology 119 (4), 2018, pp. 1291-1304. PMID: 29357477.
Differential representation of articulatory gestures and phonemes in precentral and inferior frontal gyri. Mugler, E.M., Tate, M.C., Livescu, K., Templer, J.W., Goldrick, M., and Slutzky, M.W. Journal of Neuroscience 2018.
2017
Continuous decoding of grasp kinematics using epidural and subdural signals. Flint, R.D., Rosenow, J.M., Tate, M.C., and Slutzky, M.W. Journal of Neural Engineering, 14 (1), 2017, 016005 (cover article).
Changes in cortical network connectivity with long-term brain-machine interface exposure after chronic amputation. Eleryan, A., Fagg, A.H., Badreldin, I., Southerland, J., Qian, K., Oweiss, K., Balasubramanian, K., Takahashi, K., Slutzky, M.W., Vaidya, M. and Hatsopoulos, N.G., 2017. Nature Communications, 8, 2017, p.1796.
Physiological properties of brain machine interface input signals. Slutzky, M.W., and Flint, R.D. Journal of Neurophysiology 118 (2), 2017, pp. 1329-1343. doi: 10.1152/jn.00070.2017
Brain machine interfaces: powerful tools for clinical treatment and neuroscientific investigations. Slutzky, M.W. The Neuroscientist, 25(2) 2018, pp. 139–154 doi.org/10.1177/1073858418775355
2016
Long-term stability of motor cortical activity: implications for brain machine interfaces and optimal feedback control. Flint, R.D., Scheid, M.R., Wright, Z.A., and Slutzky, M.W. Journal of Neuroscience36 (12), 2016, pp. 3623-3632, PMCID: PMC4804017.
Enhancing nervous system recovery through neurobiologics, neural interface training, and neurorehabilitation. Krucoff M.O., Rahimpour S., Slutzky M.W., Edgerton V.R., Turner D.A. Frontiers in Neuroscience, 2016 (https://doi.org/10.3389/fnins.2016.00584), PMCID: PMC5186786.
2015
Brain-machine interfaces in neurorehabilitation of stroke. Soekadar, S.R., Birbaumer, N., Slutzky, M.W., and Cohen, L.G., Neurobiology of Disease, 83, 2015, pp. 172-179.
Brain machine interfaces: state of the art and challenges to translation. Slutzky, M., Neurobiology of Disease,83, 2015, p.152.
2014
Cortical encoding of phonemic context during word production. Mugler EM, Goldrick M, Slutzky MW. Conf Proc IEEE Eng Med Biol Soc. 2014 Aug;2014:6790-3. doi: 10.1109/EMBC.2014.6945187. PMID: 25571555
Extracting kinetic information from human motor cortical signals. Flint RD, Wang PT, Wright ZA, King CE, Krucoff MO, Schuele SU, Rosenow JM, Hsu FP, Liu CY, Lin JJ, Sazgar M, Millett DE, Shaw SJ, Nenadic Z, Do AH, Slutzky MW. PMID: 25094020. Neuroimage. 2014 Nov 1;101:695-703. Epub 2014 Aug 2.
Reducing muscle co-activation after stroke using a myoelectric computer interface: a pilot study. Wright, Z.A., Rymer, W.Z., and Slutzky, M.W. Neurorehabilitation and Neural Repair, December 27, 2013, doi: 10.1177/1545968313517751, PMID: 24376069. (Highlighted in Nature Reviews Neurology 10, 59 (2014); published online 28 January 2014; doi:10.1038/nrneurol.2014.2)
Direct classification of all American English phonemes using signals from functional speech motor cortex. Mugler, E.M., Patton, J.L., Flint, R.D., Wright, Z.A., Schuele, S.J., Rosenow, J.R., Shih, J., Krusienski, D., and Slutzky, M.W. Journal of Neural Engineering, 11 (3), 2014, 035015.
2013
Reducing Abnormal Muscle Coactivation After Stroke Using a Myoelectric-Computer Interface: A Pilot Study. Wright ZA, Rymer ZW, Slutzky MW. Neurorehabil Neural Repair. 2013 Dec 27.
Long term, stable brain machine interface performance using local field potentials and multiunit spikes. Flint RD, Wright ZA, Scheid MR, Slutzky MW. J Neural Eng. 2013 Oct;10(5). Epub 2013 Aug 5.
Long-term, stable behavior of local field potentials during brain machine interface use. Scheid MR, Flint RD, Wright ZA, Slutzky MW. Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE. 2013;2013:307-10.
2012
Control of a biomimetic brain machine interface with local field potentials: performance and stability of a static decoder over 200 days. Flint RD, Wright ZA, Slutzky MW. Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE. 2012;2012:6719-22.
Myoelectric computer interfaces to reduce co-contraction after stroke. Wright ZA, Rymer WZ, Slutzky MW. Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE. 2012;2012:879-82.
Accurate decoding of reaching movements from field potentials in the absence of spikes. Flint RD, Lindberg EW, Jordan LR, Miller LE, Slutzky MW. J Neural Eng. 2012 Aug;9(4):046006. Epub 2012 Jun 25.
Local field potentials allow accurate decoding of muscle activity. Flint RD, Ethier C, Oby ER, Miller LE, Slutzky MW. Journal of Neurophysiology. 2012 Jul;108(1):18-24.
2011
Statistical assessment of the stability of neural movement representations. Stevenson IH, Cherian A, London BM, Sachs NA, Lindberg E, Reimer J, Slutzky MW, Hatsopoulos NG, Miller LE, Kording KP. Journal of Neurophysiology. 2011 Aug;106(2):764-774.
Decoding the rat forelimb movement direction from epidural and intracortical field potentials. Slutzky MW, Jordan LR, Lindberg EW, Lindsay KE, Miller LE. Journal of Neural Engineering. 2011 Jun;8(3).
Designing stimulation patterns for an afferent BMI: Representation of kinetics in somatosensory cortex. London BM, Torres RR, Slutzky MW, Miller LE. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 2011 Jan;7521-7524.
2010
Optimal spacing of surface electrode arrays for brain-machine interface applications. Slutzky MW, Jordan LR, Krieg T, Chen M, Mogul DJ, Miller LE. Journal of Neural Engineering. 2010 Jan;7(2).
A new rodent behavioral paradigm for studying forelimb movement. Slutzky MW, Jordan LR, Bauman MJ, Miller LE. Journal of Neuroscience Methods. 2010 Jan;192(2):228-232.
2008
Optimal spatial resolution of epidural and subdural electrode arrays for brain-machine interface applications. Slutzky MW, Jordan LR, Miller LE. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 2008 Jan;3771-3774.