Literature DB >> 26408656

Using oscillations to understand recovery after stroke.

Nick S Ward1.   

Abstract

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Year:  2015        PMID： 26408656     DOI： 10.1093/brain/awv265

Source DB:  PubMed          Journal:  Brain        ISSN： 0006-8950            Impact factor:   13.501


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  4 in total

1.  Biomarkers of stroke recovery: Consensus-based core recommendations from the Stroke Recovery and Rehabilitation Roundtable.

Authors:  Lara A Boyd; Kathryn S Hayward; Nick S Ward; Cathy M Stinear; Charlotte Rosso; Rebecca J Fisher; Alexandre R Carter; Alex P Leff; David A Copland; Leeanne M Carey; Leonardo G Cohen; D Michele Basso; Jane M Maguire; Steven C Cramer
Journal:  Int J Stroke       Date:  2017-07       Impact factor: 5.266

2.  Computational modelling of movement-related beta-oscillatory dynamics in human motor cortex.

Authors:  Mrudul B Bhatt; Stephanie Bowen; Holly E Rossiter; Joshua Dupont-Hadwen; Rosalyn J Moran; Karl J Friston; Nick S Ward
Journal:  Neuroimage       Date:  2016-03-05       Impact factor: 6.556

3.  Movement-related beta oscillations show high intra-individual reliability.

Authors:  Svenja Espenhahn; Archy O de Berker; Bernadette C M van Wijk; Holly E Rossiter; Nick S Ward
Journal:  Neuroimage       Date:  2016-12-10       Impact factor: 6.556

4.  The Impact of Robotic Rehabilitation on the Motor System in Neurological Diseases. A Multimodal Neurophysiological Approach.

Authors:  Zoltán Zsigmond Major; Calin Vaida; Kinga Andrea Major; Paul Tucan; Gábor Simori; Alexandru Banica; Emanuela Brusturean; Alin Burz; Raul Craciunas; Ionut Ulinici; Giuseppe Carbone; Bogdan Gherman; Iosif Birlescu; Doina Pisla
Journal:  Int J Environ Res Public Health       Date:  2020-09-09       Impact factor: 3.390
  4 in total

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