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Neuroplasticity in the context of motor rehabilitation after stroke
Open accessAbstract
Approximately one-third of patients with stroke exhibit persistent disability after the initial cerebrovascular episode, with motor impairments accounting for most poststroke disability. Exercise and training have long been used to restore motor function after stroke. Better training strategies and therapies to enhance the effects of these rehabilitative protocols are currently being developed for poststroke disability. The advancement of our understanding of the neuroplastic changes associated with poststroke motor impairment and the innate mechanisms of repair is crucial to this endeavor. Pharmaceutical, biological and electrophysiological treatments that augment neuroplasticity are being explored to further extend the boundaries of poststroke rehabilitation. Potential motor rehabilitation therapies, such as stem cell therapy, exogenous tissue engineering and brain-computer interface technologies, could be integral in helping patients with stroke regain motor control. As the methods for providing motor rehabilitation change, the primary goals of poststroke rehabilitation will be driven by the activity and quality of life needs of individual patients. This Review aims to provide a focused overview of neuroplasticity associated with poststroke motor impairment, and the latest experimental interventions being developed to manipulate neuroplasticity to enhance motor rehabilitation.
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“After stroke, many patients, even elderly patients, show substantial neurological improvement.6”
From Promoting brain remodelling and plasticity for stroke recovery: therapeutic promise and potential pitfalls of clinical translation (2012) · cites this paper as [6]
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Cites
Hao (2015) · doi:10.1002/14651858 · Cited by 11,321
Brain–computer interfaces for communication and control
Wolpaw, J. R., Birbaumer, N., McFarland, D. J., Pfurtscheller, G., & Vaughan, T. M. (2002) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00057-3 · Cited by 7,927
Heart Disease and Stroke Statistics—2009 Update
WRITING GROUP MEMBERS, Lloyd‐Jones, D. M., Adams, R. J., Carnethon, M. R., SIMONE, G. D., Ferguson, T. B., Flegal, K. M., Ford, E. S., Furie, K. L., Go, A. S., et al. (2009) · Circulation · doi:10.1161/circulationaha.108.191259 · Cited by 3,915
What we can do and what we cannot do with fMRI
Logothetis, N. K. (2008) · Nature · doi:10.1038/nature06976 · Cited by 3,612
WRITING GROUP MEMBERS, Lloyd-Jones, D., Adams, R., Carnethon, M., De Simone, G., Ferguson, T. B., Flegal, K., Ford, E., Furie, K., Go, A., et al. (2009) · Circulation · doi:10.1161/circulationaha.108.191261 · Cited by 3,140
CORTICAL PLASTICITY: From Synapses to Maps
Buonomano, D. V., & Merzenich, M. M. (1998) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.21.1.149 · Cited by 2,083
Nudo, R. J., Wise, B. M., SiFuentes, F., & Milliken, G. W. (1996) · Science · doi:10.1126/science.272.5269.1791 · Cited by 1,911
Effect of Constraint-Induced Movement Therapy on Upper Extremity Function 3 to 9 Months After Stroke
Wolf, S. L., Winstein, C. J., Miller, J. P., Taub, E., Uswatte, G., Morris, D. M., Giuliani, C., Light, K. E., Nichols‐Larsen, D. S., & for the EXCITE Investigators (2006) · JAMA · doi:10.1001/jama.296.17.2095 · Cited by 1,891
Influence of interhemispheric interactions on motor function in chronic stroke
Murase, N., Duqué, J., Mazzocchio, R., & Cohen, L. G. (2004) · Annals of Neurology · doi:10.1002/ana.10848 · Cited by 1,512
Self-citationEffects of Robot-Assisted Therapy on Upper Limb Recovery After Stroke: A Systematic Review
Kwakkel, G., Kollen, B. J., & Krebs, H. I. (2007) · Neurorehabilitation and neural repair · doi:10.1177/1545968307305457 · Cited by 1,503
Research works printed but not linked: 1
- Macht, M. B. Effects of delta-amphetamine on hemi-decorticate, decorticate, and decerebrate cats. Am. J. Physiol. 163, 731–732 (1950).
Cited by
Sorted by citations
Items 601–700 of 732
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Khan, A., Imam, Y. Z. B., Muneer, M., Jerdi, S. A., & Gill, S. K. (2024) · Research Square · doi:10.21203/rs.3.rs-4319427/v1 · Cited by 1
Choi, J., Yang, S.-W., & Park, J. (2024) · Research Square · doi:10.21203/rs.3.rs-4710492/v1 · Cited by 1
Cardiovascular Disease and Disability
Bhandari, R., & Ganachari, M. S. (2025) · Springer eBooks · doi:10.1007/978-3-031-40858-8_317-1 · Cited by 1
Design and Control of Robotic Systems for Lower Limb Stroke Rehabilitation
Yurkewich, A. (2015) · Scholarship@Western (Western University)
Afferent effects on brain computer interfaces: an experimental analysis
Ramos‐Murguialday, A. (2011)
Tomasevic, L. (2014) · PEARL (University of Plymouth) · doi:10.24382/4407
Plasticity after injury to the central nervous system
Selzer, M. A., Clarke, S., Cohen, L. G., Kwakkel, G., & Miller, R. H. (2014) · Cambridge University Press eBooks · doi:10.1017/cbo9780511995583.014
Self-citationCardoso, M. (2013) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Improving Cognitive Dysfunction After Aneurysmal Subarachnoid Hemorrhage
Sturiale, C. L., & Lanzino, G. S. (2013) · World Neurosurgery · doi:10.1016/j.wneu.2013.01.113
Jochumsen, M. (2015) · VBN Forskningsportal (Aalborg Universitet) · doi:10.5278/vbn.phd.med.00007
Gidyk, D. C. (2011) · Open ULeth Scholarship (OPUS) (University of Lethbridge) · doi:10.13140/rg.2.1.4407.7924
From bench to bedside: influence of theories of plasticity on human neurorehabilitation
Flöel, A., & Cohen, L. G. (2014) · Cambridge University Press eBooks · doi:10.1017/cbo9780511995583.019
Self-citationMechanisms of functional recovery after stroke: Insights from imaging
Baron, J. (2012) · Pratique Neurologique - FMC · doi:10.1016/j.praneu.2012.01.008
Pereira, S. (2015) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Blood Vessel Remodeling After Stroke
Moralı́, G., & Cervantes, M. (2015) · CRC Press eBooks · doi:10.1201/b18028-9
14. An Integrative Framework for Tailoring Virtual Reality Based Motor Rehabilitation After Stroke
Cameirão, M. S., & Badia, S. B. I. (2015) · doi:10.1515/9783110471137-014
Kubota, S. (2016) · Hiroshima University Acedemic Information Repository (Hiroshima University)
Saposnik, G. (2016) · The Lancet Neurology
Imaging in Neurology Research II: Exploring Plasticity and Cognitive Networks by In Vivo MRI
Hamaide, J., Ruijssevelt, L. V., Kara, F., Groof, G. D., & der Linden, A. V. (2017) · Springer eBooks · doi:10.1007/978-3-319-42202-2_29
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Resquín, F., Ibáñez, J., Herrero, O., Gonzalez-Vargas, J. E., Brunetti, F., & Pons, J. L. (2018) · Biosystems & biorobotics · doi:10.1007/978-3-030-01845-0_215
Liu, H. (2019) · University of Western Ontario Medical Journal · doi:10.5206/uwomj.v87is1.4815
Wu, X., Qian, Y., Chen, Y., Guan, Y., & Li, D. (2019) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc.2019.8832370
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Salselas, S. C. S. B., López‐Espuela, F., Gomes, M. J., Preto, L. S. R., & Rico‐Martín, S. (2020) · Revista Científica de la Sociedad de Enfermería Neurológica (English ed ) · doi:10.1016/j.sedeng.2020.01.002
He, C., Xiong, C., Chen, Z., Fan, W., & Huang, X. (2020) · Research Square · doi:10.21203/rs.3.rs-104427/v1
Bakhtina, V. A., Goncharov, D. I., Khomchenkova, A. A., Левицкий, А. А., Marinushkin, P. S., & Novikova, N. V. (2020) · International Conference on Actual Problems of Electron Devices Engineering · doi:10.1109/apede48864.2020.9255606
Klärungsmodelle und Wirkweise der Funktionellen Elektrostimulation
Meier, P. (2020) · Springer eBooks · doi:10.1007/978-3-662-61705-2_3
Nett, C. (2015) · Mspace (University of Manitoba)
Butt, M. (2020) · Research Online (University of Wollongong)
Li, Z., Hu, Z., Jiang, Y., Zhang, X., & He, H. (2021) · International Conference on Virtual Reality · doi:10.1109/icvr51878.2021.9483816
Cheng, Y.-P., Huang, J., Yeh, C.-I., & Pei, Y. (2021) · Frontiers in Neural Circuits · doi:10.3389/fncir.2021.708459
de la Ossa, L., Juan, J. V., Ortiz, M., Iáñez, E., & Azorín, J. M. (2021) · Servizo de Publicacións da UDC eBooks · doi:10.17979/spudc.9788497498043.140
Kwan, J. S. K., Tse, M. M. Y., & Li, L. S. W. (2017) · Oxford University Press eBooks · doi:10.1093/med/9780198701590.003.0120
Activities Changing Functions and Structures
(2015) · リハビリテーション医学 : 日本リハビリテーション医学会誌 · doi:10.2490/jjrmc.52.96
Research progress on changes in brain network connections after stroke
Yuan, Q. (2022) · International Conference on Biomedical Engineering and Technology (ICBET) · doi:10.1145/3535694.3535724
Effects of atrial fibrillation on motor outcome in patients with cerebral infarction
Jang, S. H., & Choi, K. H. (2022) · Medicine · doi:10.1097/md.0000000000029549
A Mini review on Effectiveness of Reinforcement learning in Stroke Rehabilitation
Kazi, F., & Patil, D. S. (2022) · Journal of Pharmaceutical Negative Results · doi:10.47750/pnr.2022.13.s06.377
Sundar, R. S., Premkumar, M., Muthupandikumar, R., & Hussain, M. A. (2022) · International Journal of Health Sciences and Pharmacy · doi:10.47992/ijhsp.2581.6411.0095
Wu, F., Xu, Z., Zhang, L., Li, G., Lin, H., Shen, J. M., Zhou, L., Liu, Z., Shen, J., Zhan, R., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-2409519/v1
Arabzadeh, T., Mirhosseini, H., & Sheikhi, M. A. (2020) · Iranian South Medical Journal · doi:10.52547/ismj.23.4.302
Mikellides, G. (2023) · Research Publications (Maastricht University) · doi:10.26481/dis.20230911gm
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Zhi, C. (2023) · Scholars Journal of Engineering and Technology · doi:10.36347/sjet.2023.v11i06.003
Liu, G., Xie, C., Li, J., Jiang, X., Tang, H., Li, C., & Zhang, K. (2023) · Research Square · doi:10.21203/rs.3.rs-3131510/v1
Kim, T., Kim, H., Philip, B. A., & Wright, D. L. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.07.21.550118
de Almeida, C. C. (2023) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.5.2023.tde-01082023-171519
Li, M., Yan, Y., Deng, S., Yu, W., Yu, F. U., Shi, L., Yang, J., & Chunhong, Z. (2023) · PubMed Central · doi:10.19852/j.cnki.jtcm.2023.05.007
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Gordleeva, S., Grigorev, N., Savosenkov, A., Udoratina, A., Kiselev, A. R., Antipov, V. M., & Badarin, A. (2023) · International Conference Neurotechnologies and Neurointerfaces (CNN) · doi:10.1109/cnn59923.2023.10275224
Development of stroke systems of care across the globe
(2023) · Frontiers research topics · doi:10.3389/978-2-8325-3680-3
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Huai, Z., Yu, X., Wu, K., Li, Y., Chen, C., Zhu, C., & Yue, S. (2023) · Research Square · doi:10.21203/rs.3.rs-3570871/v1
Yastrebtseva, I. P., Biryukov, E. A., Белова, В. В., & Deryabkina, L. Y. (2023) · Bulletin of Rehabilitation Medicine · doi:10.38025/2078-1962-2023-22-3-49-58
Williams, S. A., & Oka, A. V. (2024) · International Journal of Advance Research in Nursing · doi:10.33545/nursing.2024.v7.i1.a.359
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Millán, J. S. L. (2024) · Springer theses · doi:10.1007/978-3-031-57616-4_1
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Young, J. C., Olson, E., Do, T., Shuman, M., Ohta, D., & Han, Y.-L. (2024) · IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO) · doi:10.1109/arso60199.2024.10557818
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Zhang, J., Bai, Z., Ganesan, B., & Fong, T. K. H. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-22270-2.00015-0
Yu, P., Liu, Y., Wang, H., & Peng, T. (2024) · BMJ Open · doi:10.1136/bmjopen-2024-086427
Mao, M., Chen, Y., Zhu, G., Fang, L., Chen, S., Hua, X., Shan, C., Shi, X., Gao, H., & Xu, D. (2024) · International Convention on Rehabilitation Engineering & Assistive Technology · doi:10.1109/i-create62067.2024.10776542
Proulx, C. E., Higgins, J., Vaughan, T., Hewko, M. D., & Gagnon, D. H. (2024) · doi:10.2196/preprints.69750
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Lima, E. D. O., Silva, L. M., Laurentino, R. A., Calado, V. F., Bezerra, E. L. D. S., Neto, J. M. R. D. S., Ferreira, J. J. D. A., Machado, D. G. D. S., & Andrade, S. M. (2025) · Clinical EEG and Neuroscience · doi:10.1177/15500594251317751
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Fan, J., Wei, X., Yao, Y., Jiang, Y., Xin, C., & Feng, L. (2025) · PLoS ONE · doi:10.1371/journal.pone.0326865
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Wang, J., Liu, W., & Zhang, G. (2025) · Scientia Sinica Vitae · doi:10.1360/ssv-2025-0133
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Hong, J., Zheng, Y., Zhang, G., Zheng, H., Wu, J., & Zheng, W. (2025) · Clinical Case Reports · doi:10.1002/ccr3.71296
Meng, X., Zhang, J., Chen, H., Guo, Y., Rong, M., Li, Y., Du, Y., Li, G., & Li, C. (2025) · Medicine · doi:10.1097/md.0000000000045763
Wang, S., Wang, Y., & Liu, J. (2025) · Journal of Neurorestoratology · doi:10.1016/j.jnrt.2025.100266
Oosterveer, D. M., van Meijeren-Pont, W., van Markus-Doornbosch, F., Stegeman, E., Terwee, C. B., Ribbers, G. M., & Vliet Vlieland, T. P. (2024) · Figshare · doi:10.6084/m9.figshare.26616586
Chen, S.-C., Lin, C.-H., Su, S.-W., Chang, Y.-T., & Lai, C.-H. (2021) · Figshare · doi:10.6084/m9.figshare.14489960
Kim, J., Kim, E., Lee, S.-H., Lee, G., & Kim, Y.-H. (2024) · Figshare · doi:10.6084/m9.figshare.26241163
Zhu, S., Sun, F.-C., Su, X., Xu, S., Xu, W.-D., & Shen, Y.-D. (2025) · Hand surgery & rehabilitation · doi:10.1016/j.hansur.2025.102565
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Luo, F., Wang, J.-J., Xing, H.-Y., Wu, W.-Y., Fang, K.-J., & Yan, J. (2026) · World Journal of Psychiatry · doi:10.5498/wjp.v16.i2.115160
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Mori, N., Hosomi, K., Takeuchi, R. F., Lim, C., Khoo, H. M., Tani, N., Oshino, S., Saitoh, Y., & Kishima, H. (2026) · PAIN RESEARCH · doi:10.11154/pain.41.1
Sánchez-Gil, J. J., Sáez, A., Ochoa-Sepúlveda, J. J., Muñoz-Millán, L., Cáceres-Gómez, D., López-Luque, R., & Cañete, E. (2026) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-026-03518-y
Karake, A. R., Silva, X. A. V., Suárez, Á. H., Ponce-López, T., Ibarra, A., & Cruz, Y. (2026) · Neurorehabilitation · doi:10.1177/10538135261420356
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Sounds on time : auditory feedback in learning, re-learning and over-learning of motor regularity
van Vugt, F. T. (2013) · theses.fr (ABES) · doi:10.70675/3351d3c9z5539z4c95z9240z84b96f2eb35e
淮, 茜. (2026) · Advances in Clinical Medicine · doi:10.12677/acm.2026.1641301
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Sheng, Y., & Han, J. (2026) · Frontiers in Neurology · doi:10.3389/fneur.2026.1785709
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Metadata
- Authors
- Dimyan, M. A., & Cohen, L. G.
- Affiliations
- National Institutes of Health (US)
- Corresponding author
- Cohen, Leonardo G.
- Venue
- Nature Reviews Neurology
- Published
- 2011-01-18
- Volume
- 7
- Issue
- 2
- Pages
- 76-85
- ISSN
- 1759-4758 (ISSN-L)
- 1759-4766
- PMC
- PMC4886719
- OpenAlex
- W2053281035
- Cited by
- 732
- References
- 183
- Citations by year
- 2026: 56 · 2025: 77 · 2024: 60 · 2023: 64 · 2022: 63 · 2021: 60 · 2020: 56 · 2019: 49 · 2018: 36 · 2017: 33 · 2016: 30 · 2015: 40 · 2014: 40 · 2013: 37 · 2012: 22
- FWCI
- 3.93
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Neurology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Institute of Neurological Disorders and Stroke (ZIANS002978)
- Topics
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Keywords
- neuroplasticity, stroke, motor rehabilitation, motor recovery, exercise therapy, stem cell therapy, brain-computer interface, motor control
- MeSH terms
- Stroke Rehabilitation, Exercise Therapy, Persons with Disabilities, Humans, Motor Activity, Neuronal Plasticity, Recovery of Function, Stroke
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