Next Article in Journal / Special Issue
Long-Term Plasticity in Reflex Excitability Induced by Five Weeks of Arm and Leg Cycling Training after Stroke
Previous Article in Journal
Prenatal Alcohol Exposure Affects Progenitor Cell Numbers in Olfactory Bulbs and Dentate Gyrus of Vervet Monkeys
Previous Article in Special Issue
Corticospinal Excitability in Children with Congenital Hemiparesis
Article Menu

Export Article

Open AccessReview
Brain Sci. 2016, 6(4), 53; doi:10.3390/brainsci6040053

Prediction of Walking and Arm Recovery after Stroke: A Critical Review

1
Discipline of Physiotherapy, Graduate School of Health, University of Technology Sydney, Ultimo, NSW 2007, Australia
2
Neuroscience Research Australia (NeuRA), Randwick, NSW 2031, Australia
*
Author to whom correspondence should be addressed.
Academic Editor: Sheila Schindler-Ivens
Received: 31 August 2016 / Revised: 27 October 2016 / Accepted: 28 October 2016 / Published: 2 November 2016
(This article belongs to the Special Issue Functional Recovery after Stroke)
View Full-Text   |   Download PDF [255 KB, uploaded 2 November 2016]

Abstract

Clinicians often base their predictions of walking and arm recovery on multiple predictors. Multivariate prediction models may assist clinicians to make accurate predictions. Several reviews have been published on the prediction of motor recovery after stroke, but none have critically appraised development and validation studies of models for predicting walking and arm recovery. In this review, we highlight some common methodological limitations of models that have been developed and validated. Notable models include the proportional recovery model and the PREP algorithm. We also identify five other models based on clinical predictors that might be ready for further validation. It has been suggested that neurophysiological and neuroimaging data may be used to predict arm recovery. Current evidence suggests, but does not show conclusively, that the addition of neurophysiological and neuroimaging data to models containing clinical predictors yields clinically important increases in predictive accuracy. View Full-Text
Keywords: prediction; prognosis; recovery; walking; arm function; stroke prediction; prognosis; recovery; walking; arm function; stroke
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Kwah, L.K.; Herbert, R.D. Prediction of Walking and Arm Recovery after Stroke: A Critical Review. Brain Sci. 2016, 6, 53.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Brain Sci. EISSN 2076-3425 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top