Literature DB >> 19008201

Driving motor recovery after stroke.

Lorie Richards1, Carolyn Hanson, Melinda Wellborn, Amit Sethi.   

Abstract

There have been exciting new discoveries over the past two decades regarding how plastic the adult brain is in response to behavioral experience, such as motor training. Increases in brain trophic factors and upregulation of protein-controlling genes, increases in synaptogenesis, and increases or alterations in motor representations are a few of the neural adaptations observed in response to motor skill training. This neural reorganization after stroke is seen as critical to enhancing upper extremity function, and many therapy protocols have preliminary evidence for their impact on neural reorganization and efficacy in facilitating improvements in motor functioning. Yet, there remain many questions regarding how to predict which particular participants with stroke will respond to the therapy, how great of a response can be expected, how intense therapy should be, and the exact nature of the best practice schedule. In this article, we briefly review the basic science literature demonstrating behavior-induced neural reorganization and then review the evidence for several of the most commonly studied motor rehabilitation interventions for humans with stroke.

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Mesh:

Year:  2008        PMID: 19008201     DOI: 10.1310/tsr1505-397

Source DB:  PubMed          Journal:  Top Stroke Rehabil        ISSN: 1074-9357            Impact factor:   2.119


  4 in total

1.  A Portable Passive Rehabilitation Robot for Upper-Extremity Functional Resistance Training.

Authors:  Edward Washabaugh; Jane Guo; Chih-Kang Chang; David Remy; Chandramouli Krishnan
Journal:  IEEE Trans Biomed Eng       Date:  2018-06-21       Impact factor: 4.538

2.  The Neurorehabilitation Training Toolkit (NTT): A Novel Worldwide Accessible Motor Training Approach for At-Home Rehabilitation after Stroke.

Authors:  Sergi Bermúdez I Badia; M S Cameirão
Journal:  Stroke Res Treat       Date:  2012-04-29

Review 3.  A survey on robotic devices for upper limb rehabilitation.

Authors:  Paweł Maciejasz; Jörg Eschweiler; Kurt Gerlach-Hahn; Arne Jansen-Troy; Steffen Leonhardt
Journal:  J Neuroeng Rehabil       Date:  2014-01-09       Impact factor: 4.262

4.  Using UHF RFID Properties to Develop and Optimize an Upper-Limb Rehabilitation System.

Authors:  Walter Baccinelli; Maria Bulgheroni; Carlo Albino Frigo
Journal:  Sensors (Basel)       Date:  2020-06-05       Impact factor: 3.576

  4 in total

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