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Review
. 2017 Dec;8(6):507-514.
doi: 10.1007/s12975-017-0550-6. Epub 2017 Jul 5.

Rehabilitation and the Neural Network After Stroke

Norihito Shimamura  1 , Takeshi Katagai  2 , Kiyohide Kakuta  2 , Naoya Matsuda  2 , Kosuke Katayama  2 , Nozomi Fujiwara  2 , Yuuka Watanabe  2 , Masato Naraoka  2 , Hiroki Ohkuma  2
Affiliations
Review

Rehabilitation and the Neural Network After Stroke

Norihito Shimamura et al. Transl Stroke Res. 2017 Dec.

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.

Keywords: Muscle; Neural network; Rehabilitation; Reorganization; Stroke.

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References

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