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Closed-loop neuromodulation of spinal sensorimotor circuits controls refined locomotion after complete spinal cord injury.
Open accessAbstract
Neuromodulation of spinal sensorimotor circuits improves motor control in animal models and humans with spinal cord injury. With common neuromodulation devices, electrical stimulation parameters are tuned manually and remain constant during movement. We developed a mechanistic framework to optimize neuromodulation in real time to achieve high-fidelity control of leg kinematics during locomotion in rats. We first uncovered relationships between neuromodulation parameters and recruitment of distinct sensorimotor circuits, resulting in predictive adjustments of leg kinematics. Second, we established a technological platform with embedded control policies that integrated robust movement feedback and feed-forward control loops in real time. These developments allowed us to conceive a neuroprosthetic system that controlled a broad range of foot trajectories during continuous locomotion in paralyzed rats. Animals with complete spinal cord injury performed more than 1000 successive steps without failure, and were able to climb staircases of various heights and lengths with precision and fluidity. Beyond therapeutic potential, these findings provide a conceptual and technical framework to personalize neuromodulation treatments for other neurological disorders.
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Krack, P., Batir, A., Blercom, N. V., Chabardès, S., Fraix, V., Ardouin, C., Koudsié, A., Limousin, P., Benazzouz, A., LeBas, J., et al. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa035275 · Cited by 2,208
Harkema, S., Gerasimenko, Y., Hodes, J., Burdick, J., Angeli, C., Chen, Y., Ferreira, C., Willhite, A., Rejc, E., Grossman, R. G., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60547-3 · Cited by 1,229
Closed-Loop Deep Brain Stimulation Is Superior in Ameliorating Parkinsonism
Rosin, B., Slovik, M., Mitelman, R., Rivlin-Etzion, M., Haber, S. N., Israel, Z., Vaadia, E., & Bergman, H. (2011) · Neuron · doi:10.1016/j.neuron.2011.08.023 · Cited by 793
Restoring Voluntary Control of Locomotion after Paralyzing Spinal Cord Injury
van den Brand, R., Heutschi, J., Barraud, Q., DiGiovanna, J., Bartholdi, K., Huerlimann, M., Friedli, L., Vollenweider, I., Moraud, E. M., Duis, S., et al. (2012) · Science · doi:10.1126/science.1217416 · Cited by 767
Angeli, C. A., Edgerton, V. R., Gerasimenko, Y. P., & Harkema, S. J. (2014) · Brain · doi:10.1093/brain/awu038 · Cited by 750
Transformation of nonfunctional spinal circuits into functional states after the loss of brain input
Courtine, G., Gerasimenko, Y., van den Brand, R., Yew, A., Musienko, P., Zhong, H., Song, B., Ao, Y., Ichiyama, R. M., Lavrov, I., et al. (2009) · Nature Neuroscience · doi:10.1038/nn.2401 · Cited by 706
Self-citationProbing and regulating dysfunctional circuits using deep brain stimulation
Lozano, A. M., & Lipsman, N. (2013) · Neuron · doi:10.1016/j.neuron.2013.01.020 · Cited by 665
Paz, J. T., Davidson, T. J., Frechette, E. S., Delord, B., Parada, I., Peng, K. K., Deisseroth, K. A., & Huguenard, J. R. (2012) · Nature Neuroscience · doi:10.1038/nn.3269 · Cited by 571
Restoration of grasp following paralysis through brain-controlled stimulation of muscles
Ethier, C., Oby, E. R., Bauman, M. J., & Miller, L. E. (2012) · Nature · doi:10.1038/nature10987 · Cited by 485
A Computational Model for Epidural Electrical Stimulation of Spinal Sensorimotor Circuits
Capogrosso, M., Wenger, N., Raspopovic, S., Musienko, P., Beauparlant, J., Bassi Luciani, L., Courtine, G., & Micera, S. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.1688-13.2013 · Cited by 435
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Zitzewitz, J. V., Asboth, L., Fumeaux, N., Hasse, A., Baud, L., Vallery, H., & Courtine, G. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/2/026007 · Cited by 15
Barra, B., Roux, C., Kaeser, M., Schiavone, G., Lacour, S. P., Bloch, J., Courtine, G., Rouiller, E. M., Schmidlin, E., & Capogrosso, M. (2018) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2018.8512554 · Cited by 14
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He, L., Guo, X.-J., Zhao, C., & Rao, J. (2023) · Biomedicines · doi:10.3390/biomedicines12010041 · Cited by 15
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Rascoe, A., Sharma, P., & Shah, P. K. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00472 · Cited by 13
Jiang, J.-P., Dai, C., Niu, X., Sun, H.-T., Cheng, S.-X., Zhang, Z.-W., Zhu, X., Wang, Y., Zhang, T.-S., Duan, F., et al. (2018) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2018.06.025 · Cited by 14
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Noga, B. R., & Guest, J. D. (2021) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000999 · Cited by 14
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Akan, O., Ramezani, H., Civas, M., Cetinkaya, O., Bilgin, B., Abbasi, N., et al. (2021) · White Rose Research Online (University of Leeds, The University of Sheffield, University of York) · Cited by 12
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Ji, Z., Yan, J., Li, C., Sun, Y., Wang, S., Tao, J., Liu, J., & Liu, Y. (2025) · Science Advances · doi:10.1126/sciadv.ads4938 · Cited by 13
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Liao, J., Xu, J., Shen, Y., & Lin, S. (2023) · Electronics · doi:10.3390/electronics12204210 · Cited by 11
Yao, Q., Guan, J., Ma, L., Cheng, L., Duan, F., Xu, F., Zhao, W., Duan, W., Wu, H., Chen, Z., et al. (2020) · Neuromodulation Technology at the Neural Interface · doi:10.1111/ner.13344 · Cited by 10
Zippo, A. G., Romanelli, P., Torres-Martinez, N., Caramenti, G. C., Benabid, A. L., & Biella, G. E. M. (2015) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2015.00073 · Cited by 11
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Khan, T., Ramezani, H., Abbasi, N. A., & Akan, Ö. B. (2019) · IEEE Transactions on NanoBioscience · doi:10.1109/tnb.2019.2946124 · Cited by 9
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Bandres, M. F., Gomes, J. D. F., Romero, G. N. M., Twyman, A. R., & McPherson, J. G. (2023) · Frontiers in Rehabilitation Sciences · doi:10.3389/fresc.2023.1135593 · Cited by 8
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Guo, X.-J., He, L., Chang, J.-Q., Su, W.-N., Feng, T., Gao, Y., Wu, Y., Zhao, C., & Rao, J. (2024) · Experimental Neurology · doi:10.1016/j.expneurol.2024.115112 · Cited by 7
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Yin, D., & Slavin, K. V. (2015) · International Journal of Neurorehabilitation · doi:10.4172/2376-0281.1000151 · Cited by 7
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Lee, S., Hayakawa, T., Nishimura, C., Yawata, S., Yagi, H., Watanabe, D., & Ishikawa, M. (2019) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2019.8919239 · Cited by 7
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Xu, Y., Chen, D., Ye, Q., Zhang, P., Shi, J., Li, S., Sun, Y., Zhao, Z., Tang, Y., Zhang, P., et al. (2026) · MedComm · doi:10.1002/mco2.70739 · Cited by 6
Flores, Á., López-Santos, D., & García‐Alías, G. (2021) · Frontiers in Rehabilitation Sciences · doi:10.3389/fresc.2021.755963 · Cited by 6
Song, X., Chu, X., Liu, T., Cao, Y.-T., Li, R., Gao, M., Li, Q., Gu, X., & Ming, D. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.903207 · Cited by 5
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Zou, S., Zheng, Y., Jiang, X., Lan, Y., Chen, Z., & Xu, C. (2023) · Neuroscience Bulletin · doi:10.1007/s12264-023-01127-5 · Cited by 5
Jiang, J.-P., Niu, X., Dai, C., Ma, K., Xu, H., Cheng, S.-X., Zhang, Z.-W., Duan, F., Zhu, X., Wang, Y., et al. (2019) · Neural Regeneration Research · doi:10.4103/1673-5374.250578 · Cited by 6
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Gad, P. N., Roy, R. R., Choe, J., Zhong, H., Nandra, M. S., Tai, Y., Gerasimenko, Y., & Edgerton, V. R. (2015) · Progress in brain research · doi:10.1016/bs.pbr.2015.01.005 · Cited by 5
Papcke, C., Krueger, E., Olandoski, M., Neto, G. N. N., Nohama, P., & Scheeren, E. M. (2018) · Artificial Organs · doi:10.1111/aor.13083 · Cited by 5
Lim, H., Yan, S., Hameeduddin, I., Dee, W., Pech, V., Rymer, W. Z., & Wu, M. (2025) · Journal of Neurophysiology · doi:10.1152/jn.00316.2025 · Cited by 4
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Soloukey, S., Drenthen, J., Osterthun, R., de Vos, C. C., Zeeuw, C. I. D., Huygen, F. J. P. M., & Harhangi, B. S. (2021) · Neuromodulation Technology at the Neural Interface · doi:10.1111/ner.13379 · Cited by 2
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Borda, L., Verma, N., Sorensen, E., Carranza, E., de Freitas, R. M., Ensel, S., Boos, A., Gerszten, P. C., Fields, D. P., Wittenberg, G. F., et al. (2025) · medRxiv · doi:10.1101/2025.09.23.25336157 · Cited by 3
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Kabaoğlu, B., Garulli, E. L., Sa, R. D., Vogt, A., Behrsing, R., Skrobot, M., Paulat, R., Pollak, P., Guldin, L. S., Gerster, M., et al. (2026) · Experimental Neurology · doi:10.1016/j.expneurol.2026.115704 · Cited by 1
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Khan, I. N., Ramadan, W. S., Abdel-Hamid, G. A., Karim, S. A. M., & Aurangzeb, H. (2018) · InTech eBooks · doi:10.5772/intechopen.73220 · Cited by 1
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Nakao, Y. (2016) · Spinal Surgery · doi:10.2531/spinalsurg.30.83
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Borton, D. A. (2016) · Wiley eBooks · doi:10.1002/9781119069225.ch3-2
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Kobravi, H., Khodadadi, Z., & Majd, M. F. (2017) · Journal of Medical Signals & Sensors · doi:10.4103/jmss.jmss_43_16
Loy, K. (2018) · Electronic Theses of LMU Munich (Ludwig-Maximilians-Universität München) · doi:10.5282/edoc.22242
Ma, L., Li, Z., Shen, X., Bian, X., Li, Z., & Shen, J. (2021) · Journal of Vibroengineering · doi:10.21595/jve.2021.21595
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Cimolato, A., Katic, N., & Raspopović, S. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822828-9.00016-2
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Chang, S. J., Opriș, I. C., Guest, J. D., & Noga, B. R. (2021) · Contemporary clinical neuroscience · doi:10.1007/978-3-030-54564-2_23
Optimizing Neuroprosthetic Therapies via Autonomous Learning AgentsPreprint
Bonizzato, M., Côté, S. L., Massai, E., Hottin, R. G., Laferrière, S., Quessy, S., Lajoie, G., Martinez, M., & Dancause, N. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3925256
Loh, Y. P., & Xiao, A. (2018) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.733662739.793553153
Paralysed rats stimulated to walk
(2014) · Nature · doi:10.1038/514008c
Sofroniew, M. V. (2018) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.733662739.793551777
Fehlings, M. G. (2020) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.733662739.793573261
Simulation-Based Framework To Develop A Control System For Functional Electrical Stimulation
Hong, M., Hasse, B. A., Fuglevand, A. J., & Rozenblit, J. W. (2022) · Annual Modeling and Simulation Conference (ANNSIM) · doi:10.23919/annsim55834.2022.9859316
Brain-Machine Interfaces: From Restoring Sensorimotor Control to Augmenting Cognition
Moxon, K. A., Kong, Z., & Ditterich, J. (2022) · Handbook of Neuroengineering · doi:10.1007/978-981-15-2848-4_36-1
Serotonergic Modulation of Spinal Circuitry Restores Motor Function after Chronic Spinal Cord InjuryPreprint
Walvekar, S., Robinson, R. B., Chadwick, H. M., Burch, R. M., Ding, H., Perlmutter, S. I., & Moorjani, S. G. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.10.04.510858
Calvert, J. S., Grahn, P. J., Zhao, K. D., & Lee, K. H. (2021) · NeuroTarget · doi:10.47924/neurotarget202179
Brain-Body Interfaces to Assist and Restore Motor Functions in People with Paralysis
Losanno, E., Badi, M., Roussinova, E., Bogaard, A. R., Delacombaz, M., Shokur, S., & Micera, S. (2023) · Springer briefs in electrical and computer engineering · doi:10.1007/978-3-031-49457-4_7
Metadata
- Authors
- Wenger, N., Moraud, E. M., Raspopovic, S., Bonizzato, M., DiGiovanna, J., Musienko, P., Morari, M., Micera, S., & Courtine, G.
- Affiliations
- École Polytechnique Fédérale de Lausanne (CH)
- ETH Zurich (CH)
- Translational Neural Engineering Lab, Center for Neuroprosthetics and Institute of Bioengineering, School of Bioengineering, Swiss Federal Institute of Technology (EPFL), Lausanne CH-1015, Switzerland.
- International Paraplegic Foundation Chair in Spinal Cord Repair, Center for Neuroprosthetics and Brain Mind Institute, Swiss Federal Institute of Technology (EPFL), Lausanne CH-1015, Switzerland.
- Scuola Superiore Sant'Anna (IT)
- Corresponding author
- Wenger, Nikolaus
- Moraud, Eduardo Martin
- Micera, Silvestro
- Courtine, Grégoire
- ORCID
- Venue
- Science Translational Medicine
- Published
- 2014-09-24
- Volume
- 6
- Issue
- 255
- Pages
- 255ra133-255ra133
- ISSN
- 1946-6234 (ISSN-L)
- 1946-6242
- OpenAlex
- W2105594224
- Cited by
- 209
- References
- 44
- Citations by year
- 2026: 7 · 2025: 12 · 2024: 17 · 2023: 19 · 2022: 18 · 2021: 29 · 2020: 14 · 2019: 19 · 2018: 25 · 2017: 13 · 2016: 22 · 2015: 13 · 2014: 1
- FWCI
- 12.15
- Type
- journal article
- Language
- en
- Open access
- green
- infoscience.epfl.ch
- Licence
- cc-by-nc-nd
- Locations
- Science Translational Medicine (publishedVersion)
- PubMed (publishedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion)
- PolyPublie (École Polytechnique de Montréal) (submittedVersion)
- CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies) (submittedVersion)
- Funders
- National Science Foundation
- Fondation Bertarelli
- European Commission (258654)
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- FP7 Ideas: European Research Council (261247)
- Topics
- Health Sciences › Medicine › Clinical Neurology › Spinal Cord Injury Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Keywords
- spinal cord injury, neuromodulation, feedback control, sensorimotor circuits, locomotion, leg kinematics, neural prostheses, feedforward control, movement feedback, personalized neuromodulation, paralysis, stair climbing
- MeSH terms
- Animals, Biomechanical Phenomena, Disease Models, Animal, Extremities, Female, Gait, Locomotion, Motor Neurons, Prosthesis Design, Rats, Inbred Lew, Spinal Cord Injuries, Spinal Nerves, Time Factors, Muscle Fatigue, Recovery of Function, Feedback, Sensory, Neural Prostheses, Neurofeedback
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