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

Granular Ball-Based Noise-Resistant Fuzzy Multineighborhood Feature Selection via Label Enhancement and Feature Graph.

IEEE transactions on neural networks and learning systems·2026
Same author

Frontal Delta Decreasing and Occipital Ictal Alpha Increasing Associated With Migraine in Preictal and Ictal Phases.

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

Neural Spelling: A Spell-Based BCI System for Language Neural Decoding.

IEEE transactions on bio-medical engineering·2026
Same author

A Hybrid Covert Attention-Augmented Motor Imagery Paradigm for Brain-Computer Interfaces.

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

Distinct effects of empathy on self-other processing revealed by different behavioral and EEG indices.

Cognitive, affective & behavioral neuroscience·2026
Same author

Biologically-constrained spiking neural network for neuromodulation in locomotor recovery after spinal cord injury.

PLoS computational biology·2026

Related Experiment Video

Updated: Jun 4, 2026

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

Spatial and temporal EEG dynamics of dual-task driving performance.

Chin-Teng Lin1, Shi-An Chen, Tien-Ting Chiu

  • 1Brain Research Center, National Chiao-Tung University, Hsinchu, Taiwan.

Journal of Neuroengineering and Rehabilitation
|February 22, 2011
PubMed
Summary

Increased theta power in the frontal cortex indicates driver distraction. This finding from electroencephalography (EEG) research can help assess distraction levels in real-world driving scenarios.

More Related Videos

Utilizing Electroencephalography Measurements for Comparison of Task-Specific Neural Efficiencies: Spatial Intelligence Tasks
06:57

Utilizing Electroencephalography Measurements for Comparison of Task-Specific Neural Efficiencies: Spatial Intelligence Tasks

Published on: August 9, 2016

Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients
07:42

Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients

Published on: December 16, 2022

Related Experiment Videos

Last Updated: Jun 4, 2026

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

Utilizing Electroencephalography Measurements for Comparison of Task-Specific Neural Efficiencies: Spatial Intelligence Tasks
06:57

Utilizing Electroencephalography Measurements for Comparison of Task-Specific Neural Efficiencies: Spatial Intelligence Tasks

Published on: August 9, 2016

Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients
07:42

Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients

Published on: December 16, 2022

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Human-Computer Interaction

Background:

  • Driver distraction is a major contributor to traffic accidents.
  • Understanding cognitive dynamics during driving is crucial for safety.
  • Virtual reality (VR) simulation offers a controlled environment for studying driving cognition.

Purpose of the Study:

  • To investigate electroencephalography (EEG) dynamics related to driver distraction.
  • To analyze cognitive load during simulated driving with dual-task events.
  • To correlate EEG patterns with distraction intensity.

Main Methods:

  • Utilized a virtual reality (VR) driving simulator with dual-task scenarios (car deviations, math problems).
  • Employed independent component analysis (ICA) to isolate brain sources from EEG signals.
  • Analyzed event-related spectral perturbation (ERSP) to assess time-frequency domain brain dynamics.

Main Results:

  • Observed increased theta and beta power in the frontal cortex, associated with distraction.
  • Detected alpha and beta power suppression in the motor cortex.
  • Found significant changes in response time and cortical EEG power with varying stimulus onset asynchrony (SOA).

Conclusions:

  • Frontal theta power increases are indicative of driver distraction.
  • EEG-based measures can quantify distraction strength in driving.
  • Findings contribute to developing advanced driver-assistance systems and safety measures.