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

Association between motor cortex grey matter loss and inability to control an ECoG-based implanted Brain-Computer Interface in ALS.

medRxiv : the preprint server for health sciences·2026
Same author

Recent highlights in motor recovery and rehabilitation research after stroke.

Journal of physiotherapy·2026
Same author

Accuracy of Machine Learning to Predict Upper-Limb Outcome Within the First 72 Hours Poststroke.

Stroke·2026
Same author

Optimal positioning and size of high-density electrocorticography grids for speech brain-computer interfaces.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2026
Same author

Prognostic accuracy of transcranial magnetic stimulation-induced motor evoked potentials on recovery of upper limb: a systematic review.

Frontiers in neurology·2026
Same author

Temporal responses in sensorimotor cortex during hand movements.

PloS one·2026

Related Experiment Video

Updated: Apr 1, 2026

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

2.3K

Brain Function and Upper Limb Outcome in Stroke: A Cross-Sectional fMRI Study.

Floor E Buma1, Mathijs Raemaekers2, Gert Kwakkel3

  • 1Centre of Knowledge, Rehabilitation Centre 'De Hoogstraat', Utrecht, The Netherlands; Dept. Rehabilitation & Sports Medicine, Brain Center Rudolf Magnus, UMCU, Utrecht, The Netherlands.

Plos One
|October 7, 2015
PubMed
Summary

Brain activation in stroke survivors with good arm recovery appears normal, suggesting infarcts may not always cause motor function reorganization. Further research is needed to understand true neuronal repair capacity after stroke.

More Related Videos

Author Spotlight: Advancing Upper Limb Rehabilitation in Patients with Right Hemisphere Damage Using Assisted Active Exercise
04:43

Author Spotlight: Advancing Upper Limb Rehabilitation in Patients with Right Hemisphere Damage Using Assisted Active Exercise

Published on: February 9, 2024

1.7K
Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
06:37

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

Published on: July 14, 2023

1.4K

Related Experiment Videos

Last Updated: Apr 1, 2026

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

2.3K
Author Spotlight: Advancing Upper Limb Rehabilitation in Patients with Right Hemisphere Damage Using Assisted Active Exercise
04:43

Author Spotlight: Advancing Upper Limb Rehabilitation in Patients with Right Hemisphere Damage Using Assisted Active Exercise

Published on: February 9, 2024

1.7K
Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
06:37

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

Published on: July 14, 2023

1.4K

Area of Science:

  • Neuroscience
  • Rehabilitation Medicine
  • Medical Imaging

Background:

  • Understanding brain changes after stroke is crucial for effective rehabilitation.
  • Neuronal plasticity is a proposed mechanism for motor recovery, but compensatory strategies can confound findings.
  • Distinguishing true neural repair from compensation is essential for stroke recovery research.

Purpose of the Study:

  • To investigate brain activation patterns in stroke patients with good arm function recovery.
  • To compare brain activity during a motor task between recovered stroke patients and healthy controls.
  • To determine if brain activation differences correlate with hand function in stroke survivors.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) was used to measure brain activation.
  • 20 patients with ischemic stroke and 15 healthy controls participated.
  • A finger flexion-extension task was performed to assess motor control and brain response.

Main Results:

  • No significant differences in brain activation were found between stroke patients and controls.
  • Region of interest analysis within the motor network also showed no differences.
  • No significant relationship was observed between brain activation and hand function in patients.

Conclusions:

  • Normal brain activation and performance suggest stroke recovery may not always involve significant motor network reorganization.
  • The findings challenge the assumption that all motor recovery reflects neuronal plasticity.
  • Further investigation with more demanding tasks is needed to explore potential abnormalities in brain activity and true neuronal repair capacity.