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

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

Authors

Ethan R Buch¹, Sviatlana Rizk¹, Pierre Nicolo¹, Leonardo G Cohen¹, Armin Schnider¹, Adrian G Guggisberg²

Affiliations

¹ 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.
² 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. auggis@gmail.com.

No abstract available

Publication types

Research Support, N.I.H., Intramural
Research Support, Non-U.S. Gov't

MeSH terms

Diffusion Tensor Imaging*
Female
Humans
Image Processing, Computer-Assisted
Male
Middle Aged
Models, Theoretical
Motor Activity / physiology*
Pyramidal Tracts / diagnostic imaging*
Pyramidal Tracts / pathology
Recovery of Function / physiology*
Stroke / diagnosis*
Stroke / physiopathology*
Upper Extremity / physiopathology

Grants and funding