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

Multifractal Nonlinearity in Behavior During a Computer Task with Increasing Difficulty: What Does It Teach Us?

Entropy (Basel, Switzerland)·2025
Same author

From Accelerometer to Cognition: Hand Motion Can Reflect Effects of Cardiac Coherence on Cognitive Flexibility.

Sensors (Basel, Switzerland)·2025
Same author

Detection of Cognitive Load Modulation by EDA and HRV.

Sensors (Basel, Switzerland)·2025
Same author

Multifractal Multiscale Analysis of Human Movements during Cognitive Tasks.

Entropy (Basel, Switzerland)·2024
Same author

Entropy-Based Multifractal Testing of Heart Rate Variability during Cognitive-Autonomic Interplay.

Entropy (Basel, Switzerland)·2023
Same author

Guiding Breathing at the Resonance Frequency with Haptic Sensors Potentiates Cardiac Coherence.

Sensors (Basel, Switzerland)·2023

Related Experiment Video

Updated: Nov 7, 2025

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.3K

Multifractal Dynamics in Executive Control When Adapting to Concurrent Motor Tasks.

Laurent M Arsac1

  • 1Université de Bordeaux, CNRS, Laboratoire IMS, UMR 5218, Talence, France.

Frontiers in Physiology
|May 3, 2021
PubMed
Summary

Elite athletes maintain rhythmic control during complex dual-motor tasks, showing preserved adaptability. This suggests coordinated executive control is unchanged by physical training, highlighting multifractal dynamics in movement.

Keywords:
motor controlmovementmultifractalitysystem complexityvariability

More Related Videos

Disruption of Frontal Lobe Neural Synchrony During Cognitive Control by Alcohol Intoxication
09:26

Disruption of Frontal Lobe Neural Synchrony During Cognitive Control by Alcohol Intoxication

Published on: February 6, 2019

19.5K
Revised and Neuroimaging-Compatible Versions of the Dual Task Screen
07:52

Revised and Neuroimaging-Compatible Versions of the Dual Task Screen

Published on: October 5, 2020

3.7K

Related Experiment Videos

Last Updated: Nov 7, 2025

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.3K
Disruption of Frontal Lobe Neural Synchrony During Cognitive Control by Alcohol Intoxication
09:26

Disruption of Frontal Lobe Neural Synchrony During Cognitive Control by Alcohol Intoxication

Published on: February 6, 2019

19.5K
Revised and Neuroimaging-Compatible Versions of the Dual Task Screen
07:52

Revised and Neuroimaging-Compatible Versions of the Dual Task Screen

Published on: October 5, 2020

3.7K

Area of Science:

  • Human Movement Science
  • Neuroscience
  • Biomechanics
  • Complex Systems

Background:

  • Executive control in human movement is crucial for adapting to complex tasks.
  • Fractal analysis of motor time series can reveal non-linear dynamics reflecting executive control.
  • Understanding how the brain, body, and environment interact across temporal scales is key to motor adaptation.

Purpose of the Study:

  • To investigate the role of multifractal dynamics in executive control during concurrent motor tasks.
  • To assess the adaptability and movement control strategies of elite athletes performing dual-motor tasks.
  • To determine if extensive physical training preserves executive control and adaptability in complex movement scenarios.

Main Methods:

  • Employed a multifractal analytical approach on experimental time series data from elite rugby players.
  • Utilized surrogate data testing (shuffled, ARFIMA, Davies&Harte, phase-randomized) to validate scale-free behavior.
  • Applied a focus-based multifractal-DFA approach to calculate Hurst exponents (H) and assess monofractality (H(2)) and multifractality (H(-15)-H(15)).

Main Results:

  • Elite athletes maintained target rhythm effectively during concurrent cycling with finger tapping or arm circling.
  • Multifractal analysis confirmed scale-free behavior and revealed that global (monofractal) behavior remained unchanged during dual-tasking.
  • Both cycling and upper limb movements (tapping, circling) demonstrated preserved multifractality and adaptability under concurrent task conditions.

Conclusions:

  • Coordinated executive control and adaptability are preserved in individuals with highly developed motor skills, even when performing dual-motor tasks.
  • Executive control in skilled individuals likely emerges from multiplicative interactions across temporal scales, supporting the utility of multifractal approaches.
  • Findings suggest that physical training enhances motor skills without altering the fundamental mechanisms of executive control and adaptation.