Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Hereditary Transmission of Tuberculosis.

The Journal of comparative medicine and veterinary archives·2022
Same author

Comparing dairy farm milk yield and components, somatic cell score, and reproductive performance among United States regions using summer to winter ratios.

Journal of dairy science·2019
Same author

Effects of Supplementing Holstein Heifers with Dietary Melatonin during Late Gestation on Growth and Cardiovascular Measurements of their Offspring.

Reproduction in domestic animals = Zuchthygiene·2016
Same author

Multisensory attention training for treatment of tinnitus.

Scientific reports·2015
Same author

Short communication: Effects of increasing protein and energy in the milk replacer with or without direct-fed microbial supplementation on growth and performance of preweaned Holstein calves.

Journal of dairy science·2014
Same author

The fall and rise of corticomotor excitability with cancellation and reinitiation of prepared action.

Journal of neurophysiology·2014

Related Experiment Video

Updated: Apr 24, 2026

Determining the Functional Status of the Corticospinal Tract Within One Week of Stroke
09:10

Determining the Functional Status of the Corticospinal Tract Within One Week of Stroke

Published on: February 22, 2020

8.5K

An update on predicting motor recovery after stroke.

C M Stinear1, W D Byblow2, S H Ward3

  • 1Clinical Neuroscience Laboratory, Department of Medicine, University of Auckland, Private Bag, 92019 Auckland, New Zealand; Centre for Brain Research, University of Auckland, Private Bag, 92019 Auckland, New Zealand.

Annals of Physical and Rehabilitation Medicine
|September 10, 2014
PubMed
Summary

Predicting upper limb motor function recovery after stroke is possible using a combination of clinical, neurophysiological, and neuroimaging assessments. The PREP algorithm offers a sequential approach for early prediction of recovery potential.

Keywords:
AVCMoteurMotorPrognosisPronosticRehabilitationRééducationStroke

More Related Videos

Compensatory Limb Use and Behavioral Assessment of Motor Skill Learning Following Sensorimotor Cortex Injury in a Mouse Model of Ischemic Stroke
08:01

Compensatory Limb Use and Behavioral Assessment of Motor Skill Learning Following Sensorimotor Cortex Injury in a Mouse Model of Ischemic Stroke

Published on: July 10, 2014

10.9K
Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
09:42

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients

Published on: September 1, 2023

2.6K

Related Experiment Videos

Last Updated: Apr 24, 2026

Determining the Functional Status of the Corticospinal Tract Within One Week of Stroke
09:10

Determining the Functional Status of the Corticospinal Tract Within One Week of Stroke

Published on: February 22, 2020

8.5K
Compensatory Limb Use and Behavioral Assessment of Motor Skill Learning Following Sensorimotor Cortex Injury in a Mouse Model of Ischemic Stroke
08:01

Compensatory Limb Use and Behavioral Assessment of Motor Skill Learning Following Sensorimotor Cortex Injury in a Mouse Model of Ischemic Stroke

Published on: July 10, 2014

10.9K
Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
09:42

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients

Published on: September 1, 2023

2.6K

Area of Science:

  • Neuroscience
  • Rehabilitation Medicine
  • Clinical Neurology

Background:

  • Accurate prediction of motor function recovery post-stroke is crucial for tailoring rehabilitation strategies and managing patient expectations.
  • Existing prognostic methods, including clinical assessments and transcranial magnetic stimulation, have limitations in predictive accuracy.

Purpose of the Study:

  • To review advancements since 2010 in predicting upper limb motor recovery potential after stroke.
  • To evaluate the efficacy of clinical, neurophysiological, and neuroimaging measures for prognostication.

Main Methods:

  • Review of recent studies (since 2010) on predictive measures for upper limb motor recovery.
  • Analysis of clinical assessments, transcranial magnetic stimulation (TMS), and neuroimaging techniques.
  • Evaluation of the PREP algorithm as a sequential prognostic tool.

Main Results:

  • Clinical assessments alone demonstrate low prognostic accuracy.
  • Transcranial magnetic stimulation offers some predictive value but is limited by low negative predictive value when used in isolation.
  • Neuroimaging of white matter tract integrity, including alternate motor pathways, shows promise for predicting motor recovery.

Conclusions:

  • A combination of clinical, neurophysiological, and neuroimaging measures provides more accurate prognostication for upper limb motor recovery.
  • The PREP algorithm represents a significant advancement by integrating multiple measures for sequential prediction.
  • Future research should explore similar algorithmic approaches for predicting gait recovery post-stroke.