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

Connectivity between supplementary motor complex and primary motor cortex: a dual-coil paired-pulse TMS study.

Frontiers in neurology·2025
Same author

Impact of an Integrated Electronic Health Record Protocol on Inferior Vena Cava Filter Retrieval Attempt Rates: An Observational Cohort Study.

WMJ : official publication of the State Medical Society of Wisconsin·2025
Same author

Application of bilateral tDCS over left and right M1 produces asymmetric training and retention effects when learning a rhythmic bimanual task.

Experimental brain research·2025
Same author

Impact of Bariatric Surgery on Asthma Severity and Medication Use.

Obesity surgery·2024
Same author

Dual-Task and Single-Task Practice Does Not Influence the Attentional Demands of Movement Sequence Representations.

Journal of motor behavior·2024
Same author

Timing of transcranial direct current stimulation at M1 does not affect motor sequence learning.

Heliyon·2024

Related Experiment Video

Updated: Jun 23, 2026

Conducting Hyperscanning Experiments with Functional Near-Infrared Spectroscopy
06:42

Conducting Hyperscanning Experiments with Functional Near-Infrared Spectroscopy

Published on: January 19, 2019

Using scanning trials to assess intrinsic coordination dynamics.

Attila J Kovacs1, John J Buchanan, Charles H Shea

  • 1Texas A&M University, College Station, TX 77843-4243, United States.

Neuroscience Letters
|May 12, 2009
PubMed
Summary
This summary is machine-generated.

New findings show that with visual feedback and reduced distractions, people can quickly master complex bimanual coordination patterns beyond simple in-phase and anti-phase movements. This highlights the brain

More Related Videos

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study
05:33

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study

Published on: September 8, 2021

Efficiently Recording the Eye-Hand Coordination to Incoordination Spectrum
07:30

Efficiently Recording the Eye-Hand Coordination to Incoordination Spectrum

Published on: March 21, 2019

Related Experiment Videos

Last Updated: Jun 23, 2026

Conducting Hyperscanning Experiments with Functional Near-Infrared Spectroscopy
06:42

Conducting Hyperscanning Experiments with Functional Near-Infrared Spectroscopy

Published on: January 19, 2019

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study
05:33

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study

Published on: September 8, 2021

Efficiently Recording the Eye-Hand Coordination to Incoordination Spectrum
07:30

Efficiently Recording the Eye-Hand Coordination to Incoordination Spectrum

Published on: March 21, 2019

Area of Science:

  • Motor control and learning
  • Human movement science
  • Neuroscience

Background:

  • Bimanual coordination typically favors in-phase (0°) and anti-phase (180°) patterns.
  • Phase attraction and neural pathway variability hinder other coordination patterns.
  • Extended practice often fails to improve performance of non-standard bimanual coordination.

Purpose of the Study:

  • To investigate the learnability of bimanual coordination patterns beyond in-phase and anti-phase.
  • To determine the role of perceptual feedback and attentional demands in bimanual coordination.
  • To explore the flexibility of the perception-action system in motor control.

Main Methods:

  • Participants practiced bimanual 1:1 coordination tasks with integrated visual feedback (Lissajous plots).
  • Experimental conditions minimized perceptual and attentional distractions.
  • Coordination patterns were tested at 30° increments between 0° and 180°.

Main Results:

  • Participants rapidly learned to produce a wide range of bimanual coordination patterns (0°-180° increments).
  • Effective performance was achieved after only 3 minutes of practice with feedback.
  • The ease of learning suggests previous difficulties were due to experimental constraints.

Conclusions:

  • The human perception-action system is highly capable of diverse bimanual coordination.
  • Perceptual information and attentional load are critical factors in motor learning.
  • Optimized feedback and reduced distractions facilitate the acquisition of complex motor skills.