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

A Systematic Review of Soft Respiratory Exoskeletons: Assistance Mechanisms, System Architectures, and Key Technologies.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same author

Nanocarrier-based delivery of siRNA therapeutics in rheumatoid arthritis: immune mechanisms and translational perspectives.

Frontiers in immunology·2025
Same author

Dual-Oxidative Co-Catalyst Synergy Regulating Charge Transport Cascade for Enhanced CO<sub>2</sub> Photocatalysis.

Small (Weinheim an der Bergstrasse, Germany)·2025
Same author

A novel multimodal diagnostic framework integrating hyperspectral imaging and deep learning for predicting RET gene mutations in medullary thyroid carcinoma.

Computer methods and programs in biomedicine·2025
Same author

TRIM38 Suppresses Breast Cancer Progression via Modulating SQSTM1 Ubiquitination and Autophagic Flux.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025
Same author

UVB-activated permanganate enables rapid emerging organic contaminants decontamination through synergistic HO• and reactive manganese species.

Water research·2025
Same journal

Synaptic micromechanics and brain softening as a mechanobiological hypothesis for Alzheimer's disease.

Frontiers in neuroscience·2026
Same journal

The relationship between healthy sleep patterns and the risk of scoliosis: a large prospective cohort study.

Frontiers in neuroscience·2026
Same journal

Dynamic functional reorganization in post-stroke aphasia: a state-of-the-art fMRI review from disease evolution to intervention.

Frontiers in neuroscience·2026
Same journal

Correction: Case Report: A possible novel adult-onset, progressive MAO-A hypofunction.

Frontiers in neuroscience·2026
Same journal

Respiratory modulation of neurophysiology and symptoms in athletes with sports-related concussion: a randomized crossover trial.

Frontiers in neuroscience·2026
Same journal

Impact of C-reactive protein-triglyceride-glucose and systemic immune-inflammation indices on obstructive sleep apnea in older adults with depression.

Frontiers in neuroscience·2026
See all related articles

Related Experiment Video

Updated: Jan 14, 2026

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

15.2K

EEG synchronization signatures for decoding attentional states during continuous force control.

Yilei Zheng1, Qiaoxiu Wang2, Qianqian Tong3

  • 1College of Mechanical and Electrical Engineering, Beijing Information Science and Technology University, Beijing, China.

Frontiers in Neuroscience
|October 24, 2025
PubMed
Summary
This summary is machine-generated.

Mind wandering during force control tasks can be detected using EEG synchronization features. This study identified neural signatures to decode attentional states, improving performance in skilled motor activities.

Keywords:
attentional stateelectroencephalogram (EEG)force controlmachine learningmind wanderingneural synchronization

More Related Videos

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
12:03

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

Published on: May 25, 2019

8.9K
Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

44.0K

Related Experiment Videos

Last Updated: Jan 14, 2026

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

15.2K
A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
12:03

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

Published on: May 25, 2019

8.9K
Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

44.0K

Area of Science:

  • Cognitive Neuroscience
  • Neuroscience
  • Human-Computer Interaction

Background:

  • Mind wandering, or task-unrelated thoughts, impairs performance in ongoing tasks.
  • Attentional fluctuations in visuo-haptic tasks like force control are understudied.
  • Neural synchronization signatures of mind wandering lack exploration in haptic paradigms.

Purpose of the Study:

  • Investigate EEG-based neural synchronization features for decoding attentional states during continuous force control.
  • Identify specific EEG synchronization patterns associated with on-task versus mind-wandering states.
  • Assess the feasibility of using these features for real-time attentional state classification.

Main Methods:

  • Utilized a novel continuous force control task with a thought-probe method.
  • Recorded scalp EEG and high-frequency force data synchronously from nine healthy male participants.
  • Extracted spectral power and synchronization features (cross-frequency coupling, functional connectivity, neural-behavioral synchronization) for analysis.

Main Results:

  • Mind wandering correlated with increased frontal-posterior alpha power and reduced alpha-theta harmonic ratios.
  • Increased functional connectivity in sensorimotor networks and decreased frontal EEG-force error mutual information were observed during mind wandering.
  • Support vector machine classifiers achieved 75.53% within-participant and 71.57% cross-participant accuracy using combined features.

Conclusions:

  • EEG synchronization features effectively decode attentional states during force control tasks.
  • Identified specific neural signatures indicative of mind wandering in a haptic context.
  • Findings support the development of haptic-based neurofeedback systems for rehabilitation and motor training.