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 Experiment Video

Updated: May 14, 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

Predictors of return to driving after stroke.

Elyse L Aufman1, Marghuretta D Bland, Peggy P Barco

  • 1School of Medicine, Washington University in St. Louis, MO 63108, USA.

American Journal of Physical Medicine & Rehabilitation
|February 2, 2013
PubMed
Summary

Predicting stroke survivors

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

Recent highlights in motor recovery and rehabilitation research after stroke.

Journal of physiotherapy·2026
Same author

Assessing movement quality in individuals with Duchenne muscular dystrophy utilizing accelerometry: Comparisons with healthy controls.

PLOS digital health·2026
Same author

Use of Wearable Sensors to Measure Improvements in Real World Upper Extremity Activity After Brachial Plexus Reconstruction.

The Journal of hand surgery·2026
Same author

Naturalistic Driving Outcomes and Sensorimotor Function in Cognitively Normal Older Adults.

Journal of the American Geriatrics Society·2026
Same author

White Matter Hyperintensity Burden and Decline in Driving Performance Among Older Adults.

JAMA network open·2026
Same author

Advancing Neurorehabilitation and Recovery Through Human Movement Quantification via Wearable Sensing.

Neurorehabilitation and neural repair·2026

Area of Science:

  • Neurorehabilitation
  • Stroke recovery
  • Driving safety

Background:

  • Returning to driving is a significant concern for stroke survivors.
  • Predicting post-stroke driving return is challenging for clinicians.

Purpose of the Study:

  • Identify pre-stroke rehabilitation factors predicting driving return.
  • Develop a model for patient and family counseling.

Main Methods:

  • Compared demographic and clinical characteristics of driving returners and non-returners.
  • Utilized logistic regression with backward stepwise selection.
  • Outcome variable: return to driving.

Main Results:

  • 31% of pre-stroke drivers returned to driving 6 months post-stroke.
  • Logistic regression model predicted driving outcome with 75% accuracy.
  • Key predictors: Functional Independence Measure cognition and lower extremity Motricity Index scores.

Conclusions:

  • Lower FIM cognition and lower extremity MI scores indicate reduced likelihood of driving return.
  • The predictive model can aid clinicians in counseling and goal setting.
  • Informs rehabilitation strategies for stroke survivors aiming to drive again.

More Related Videos

Kinematic Analysis Using 3D Motion Capture of Drinking Task in People With and Without Upper-extremity Impairments
08:45

Kinematic Analysis Using 3D Motion Capture of Drinking Task in People With and Without Upper-extremity Impairments

Published on: March 28, 2018

Related Experiment Videos

Last Updated: May 14, 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

Kinematic Analysis Using 3D Motion Capture of Drinking Task in People With and Without Upper-extremity Impairments
08:45

Kinematic Analysis Using 3D Motion Capture of Drinking Task in People With and Without Upper-extremity Impairments

Published on: March 28, 2018