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Predicting motor improvement after stroke with clinical assessment and diffusion tensor imaging.

作者信息

Buch Ethan R, Rizk Sviatlana, Nicolo Pierre, Cohen Leonardo G, Schnider Armin, Guggisberg Adrian G

机构信息

From the Human Cortical Physiology and Neurorehabilitation Section (E.R.B., L.G.C.), NINDS, NIH, Bethesda, MD; and University Hospital and University of Geneva (S.R., P.N., A.S., A.G.G.), Switzerland.

出版信息

Neurology. 2016 May 17;86(20):1924-5. doi: 10.1212/WNL.0000000000002675. Epub 2016 Apr 29.

Abstract
摘要

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本文引用的文献

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Prediction of Motor Recovery Using Diffusion Tensor Tractography in Supratentorial Stroke Patients With Severe Motor Involvement.
Ann Rehabil Med. 2015 Aug;39(4):570-6. doi: 10.5535/arm.2015.39.4.570. Epub 2015 Aug 25.
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Proportional recovery after stroke depends on corticomotor integrity.
Ann Neurol. 2015 Dec;78(6):848-59. doi: 10.1002/ana.24472. Epub 2015 Nov 17.
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Generalizability of the Proportional Recovery Model for the Upper Extremity After an Ischemic Stroke.
Neurorehabil Neural Repair. 2015 Aug;29(7):614-22. doi: 10.1177/1545968314562115. Epub 2014 Dec 11.
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The PREP algorithm predicts potential for upper limb recovery after stroke.
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