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

Limb movement: getting a handle on grasp.

Lee E Miller1

  • 1Department of Physiology, Northwestern University Medical School, and Northwestern University Institute for Neuroscience, 303 East Chicago Avenue, Chicago, Illinois 60611, USA. lm@northwestern.edu

Current Biology : CB
|September 3, 2004
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

Muscle-driven hand simulations emphasize the critical role of the extensor mechanism.

bioRxiv : the preprint server for biology·2026
Same author

A framework for quantifying the mechanics of dexterous grasp.

bioRxiv : the preprint server for biology·2026
Same author

Flexible integration of corollary discharge and sensory feedback signals in somatosensory cortex.

bioRxiv : the preprint server for biology·2026
Same author

Monoaminergic modulation of the relation between motor cortical activity and grip force.

Journal of neurophysiology·2026
Same author

Evolution of object identity information in sensorimotor cortex throughout grasp.

Nature communications·2026
Same author

Intracortical microstimulation in humans: a decade of safety and efficacy.

medRxiv : the preprint server for health sciences·2025
Same journal

Hunting ecology predicts eye arrangements in the modular visual system of spiders.

Current biology : CB·2026
Same journal

Sub-second fluctuations between top-down and bottom-up modes distinguish diverse human brain states.

Current biology : CB·2026
Same journal

Queen bees offload pesticide burden to eggs when social buffering is overwhelmed.

Current biology : CB·2026
Same journal

Pitch selectivity in ferret auditory cortex.

Current biology : CB·2026
Same journal

A cell size-dependent competition between geometry and polarity governs nuclear and spindle positioning in early embryos.

Current biology : CB·2026
Same journal

Trophic cascades drive sustainability in the agricultural heritage rice-fish coculture system.

Current biology : CB·2026
See all related articles

The complex human hand simplifies control through muscle synergies, reducing the degrees of freedom needed for many tasks. This discovery offers insights into motor control and hand function.

Area of Science:

  • Neuroscience
  • Biomechanics
  • Motor Control

Background:

  • The human hand exhibits remarkable mechanical complexity.
  • Understanding its neural control is crucial for fields like robotics and rehabilitation.

Purpose of the Study:

  • To explore how the nervous system simplifies the control of the hand.
  • To investigate the role of muscle synergies in reducing motor complexity.

Main Methods:

  • Analysis of hand biomechanics.
  • Electromyography (EMG) studies during various tasks.
  • Computational modeling of muscle activation patterns.

Main Results:

  • Evidence suggests hand control is simplified via muscle synergies.

Related Experiment Videos

  • These synergistic groups reduce the effective number of controlled degrees of freedom.
  • This simplification is observed across a range of functional tasks.

    • Conclusions:

    • Muscle synergies play a key role in efficient hand motor control.
    • The brain utilizes these synergies to manage the hand's high dimensionality.
    • Further research can leverage these findings for advanced prosthetics and neurorehabilitation strategies.