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 Videos

Movement smoothness changes during stroke recovery.

Brandon Rohrer1, Susan Fasoli, Hermano Igo Krebs

  • 1Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA. brrohre@sandia.gov

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|September 12, 2002
PubMed
Summary
This summary is machine-generated.

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

ENTF Neuromodulation Yields Reduced Disability After Stroke: An Individual Participant-Level Data Meta-Analysis.

Stroke·2026
Same author

Reliability of a modified mini balance evaluation systems test (Mini-BESTest) in NF2-related schwannomatosis.

Gait & posture·2026
Same author

Advances in Stroke 2026: Recovery and Rehabilitation.

Stroke·2026
Same author

Influences on Preventive Health Behaviors After Stroke with Telemonitoring: Patient Perceptions and Practices in an Urban Underserved Population.

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

Vaccine Litigation-Weighing the Consequences for the Public's Health.

JAMA health forum·2026
Same author

Foot-ground force quantifies impaired balance control mechanisms post-stroke.

Scientific reports·2026
Same journal

Erratum: Yao et al., "Estrogen Regulates Bcl-w and Bim Expression: Role in Protection against β-Amyloid Peptide-Induced Neuronal Death".

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same journal

Erratum: L'Episcopo et al., "Plasticity of Subventricular Zone Neuroprogenitors in MPTP (1-Methyl-4-Phenyl-1,2,3,6-Tetrahydropyridine) Mouse Model of Parkinson's Disease Involves Cross Talk between Inflammatory and Wnt/β-Catenin Signaling Pathways: Functional Consequences for Neuroprotection and Repair".

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same journal

Representations of subsecond duration-based timing by complex spike synchrony in cerebellar Purkinje neurons.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same journal

The extended language network: Language-responsive brain areas whose contributions to language remain to be discovered.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same journal

Cortical and thalamic afferent connectomes distinguish ACC subregions of the macaque brain.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same journal

The synaptic vesicle priming protein Munc13 mediates evoked somatodendritic dopamine release.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
See all related articles

Stroke recovery involves smoother arm movements, as shown by robotic analysis. A computer simulation suggests submovement blending is key to this improvement in patients with hemiparetic arm movement.

Area of Science:

  • Neurorehabilitation
  • Biomechanics
  • Robotics

Background:

  • Coordinated human movement is characterized by smoothness.
  • Stroke survivors often exhibit impaired movement smoothness.
  • Movement smoothness tends to improve during stroke recovery.

Purpose of the Study:

  • To quantify movement smoothness in stroke patients undergoing rehabilitation.
  • To investigate the relationship between smoothness metrics and stroke recovery progression.
  • To explore the underlying mechanisms of stroke recovery using computational modeling.

Main Methods:

  • Utilized a robotic therapy device to assess hemiparetic arm movements in 31 stroke patients.
  • Analyzed five distinct metrics of movement smoothness.

Related Experiment Videos

  • Developed a computer simulation based on submovement blending to model recovery.

    • Main Results:

    • Four out of five smoothness metrics generally increased across the patient population.
    • A fifth metric indicated a decrease in movement smoothness for recently stroked patients.
    • The observed pattern was replicated in the submovement blending simulation.

    Conclusions:

    • Progressive blending of submovements appears to be a fundamental mechanism in stroke motor recovery.
    • Robotic analysis provides valuable insights into the dynamics of motor recovery post-stroke.
    • Movement smoothness is a critical indicator of functional recovery after stroke.