首页|期刊导航|中国神经再生研究(英文版)|An integrative multivariate approach for predicting functional recovery using magnetic resonance imaging parameters in a translational pig ischemic stroke model
An integrative multivariate approach for predicting functional recovery using magnetic resonance imaging parameters in a translational pig ischemic stroke model
Erin E. Kaiser J.C. Poythress Kelly M. Scheulin Brian J. Jurgielewicz Nicole A. Lazar Cheolwoo Park Steven L. Stice Jeongyoun Ahn Franklin D. West
中国神经再生研究(英文版)2021,Vol.16Issue(5):842-850,9.
中国神经再生研究(英文版)2021,Vol.16Issue(5):842-850,9.
An integrative multivariate approach for predicting functional recovery using magnetic resonance imaging parameters in a translational pig ischemic stroke model
An integrative multivariate approach for predicting functional recovery using magnetic resonance imaging parameters in a translational pig ischemic stroke model
摘要
关键词
behavior testing/canonical correlation analysis/gait analysis/Gaussian graphical models/ischemic stroke/magnetic resonance imaging/pig model/principal component analysisKey words
behavior testing/canonical correlation analysis/gait analysis/Gaussian graphical models/ischemic stroke/magnetic resonance imaging/pig model/principal component analysis分类
医药卫生引用本文复制引用
Erin E. Kaiser,J.C. Poythress,Kelly M. Scheulin,Brian J. Jurgielewicz,Nicole A. Lazar,Cheolwoo Park,Steven L. Stice,Jeongyoun Ahn,Franklin D. West..An integrative multivariate approach for predicting functional recovery using magnetic resonance imaging parameters in a translational pig ischemic stroke model[J].中国神经再生研究(英文版),2021,16(5):842-850,9.基金项目
This work was supported by the National Institutes of Health,National Institute of Neurological Disorders and Stroke grant R01NS093314 as well as Small Business Innovation Research grant 1R43NS103596-01. ()