Art

J-GLOBAL ID：201802236872448131   Reference number：18A0938689

Resting-state functional connectivity predicts the ability to adapt arm reaching in a robot-mediated force field

静止状態の機能的結合性はロボット媒介力場における腕の到達を適応させる能力を予測する【JST・京大機械翻訳】

Author (4)： Faiman Irene (NeuroRehabilitation Unit, School of Health, Sport and Bioscience, College of Applied Health and Communities, University of East London, Water Lane, E15 4LZ, London, United Kingdom) ,  Faiman Irene (Faculty of Psychology and Neuroscience, Maastricht University, Universiteitssingel 40, 6229 ER, Maastricht, The Netherlands) ,  Pizzamiglio Sara (NeuroRehabilitation Unit, School of Health, Sport and Bioscience, College of Applied Health and Communities, University of East London, Water Lane, E15 4LZ, London, United Kingdom) ,  Turner Duncan L. (NeuroRehabilitation Unit, School of Health, Sport and Bioscience, College of Applied Health and Communities, University of East London, Water Lane, E15 4LZ, London, United Kingdom)
Material： NeuroImage
Volume： 174  Page： 494-503  Publication year： 2018 
JST Material Number： W3139A  ISSN： 1053-8119  Document type： Article
Article type： 原著論文  Country of issue： Netherlands (NLD)  Language： ENGLISH (EN)

Abstract/Point： Motor deficits are common outc...

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Thesaurus term： Rehabilitation ,  electroencephalogram ,  frequency (Hz) ,  *robot ,  patient ,  upper extremity ,  cerebral apoplexy ,  Bed Rest ,  movement disorder ,  *connectivity ,  prefrontal area ,  *force field ,  Primary motor area ,  normal adult ,  neural activity ,  cerebral hemisphere

Author keywords (6)： Electroencephalogram ,  Resting-state ,  Motor adaptation ,  Robot-mediated force field ,  Functional connectivity ,  Partial least square regression

JST classification (1)： Rehabilitation  (GB06000Z)

Terms in the title (8)： 静止状態 ,  結合性 ,  ロボット ,  力場 ,  腕 ,  適応 ,  能力 ,  予測