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Rehabilitation and the Neural Network After Stroke

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Abstract

Stroke remains a major cause of disability throughout the world: paralysis, cognitive impairment, aphasia, and so on. Surgical or medical intervention is curative in only a small number of cases. Nearly all stroke cases require rehabilitation. Neurorehabilitation generally improves patient outcome, but it sometimes has no effect or even a mal-influence. The aim of this review is the clarification of the mechanisms of neurorehabilitation. We systematically reviewed recently published articles on neural network remodeling, especially from 2014 to 2016. Finally, we summarize progress in neurorehabilitation and discuss future prospects.

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Acknowledgements

We thank Mark Inglin (University of Basel) for his editorial assistance.

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Authors and Affiliations

  1. Department of Neurosurgery, Hirosaki University School of Medicine, 5-Zaihuchou, Hirosaki, Aomori, 036-8562, Japan

    Norihito Shimamura, Takeshi Katagai, Kiyohide Kakuta, Naoya Matsuda, Kosuke Katayama, Nozomi Fujiwara, Yuuka Watanabe, Masato Naraoka & Hiroki Ohkuma

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  1. Norihito Shimamura
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  3. Kiyohide Kakuta
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  4. Naoya Matsuda
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  5. Kosuke Katayama
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  9. Hiroki Ohkuma
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Corresponding author

Correspondence to Norihito Shimamura.

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This work was supported by Grants-in-Aid for Scientific Research of Japan, grant number 26462149 for Norihito Shimamura. This article does not contain any studies with human participants or animals performed by any of the authors.

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The authors declare that they have no conflicts of interest.

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Shimamura, N., Katagai, T., Kakuta, K. et al. Rehabilitation and the Neural Network After Stroke. Transl. Stroke Res. 8, 507–514 (2017). https://doi.org/10.1007/s12975-017-0550-6

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  • DOI: https://doi.org/10.1007/s12975-017-0550-6

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