Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

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

Correction: Decoding target discriminability and time pressure using eye and head movement features in a foraging search task.

Cognitive research: principles and implications·2025

Same author

Decoding target discriminability and time pressure using eye and head movement features in a foraging search task.

Cognitive research: principles and implications·2025

Same author

Fixation-related potentials during a virtual navigation task: The influence of image statistics on early cortical processing.

Attention, perception & psychophysics·2025

Same author

Investigating the effects of context, visual working memory, and inhibitory control in hybrid visual search.

Frontiers in human neuroscience·2024

Same author

Complexity synchronization in emergent intelligence.

Scientific reports·2024

Same author

A Comparison of Head Movement Classification Methods.

Sensors (Basel, Switzerland)·2024

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

Search research articles

Related Experiment Video

Updated: Apr 27, 2026

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

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

Published on: August 9, 2016

Estimating endogenous changes in task performance from EEG.

Jon Touryan¹, Gregory Apker¹, Brent J Lance¹

¹U.S. Army Research Laboratory, Human Research and Engineering Directorate Aberdeen Proving Ground, MD, USA.

Frontiers in Neuroscience

|July 5, 2014

Summary

This summary is machine-generated.

This study shows that continuous neural activity can estimate user performance decrements due to fatigue. This passive Brain-Computer Interface (BCI) approach could improve performance in demanding tasks.

Keywords:

BCI EEG driving fatigue performance estimation rapid serial visual presentation (RSVP)

More Related Videos

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task

Published on: December 5, 2025

Performing Behavioral Tasks in Subjects with Intracranial Electrodes

Performing Behavioral Tasks in Subjects with Intracranial Electrodes

Published on: October 2, 2014

Related Experiment Videos

Last Updated: Apr 27, 2026

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

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

Published on: August 9, 2016

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task

Published on: December 5, 2025

Performing Behavioral Tasks in Subjects with Intracranial Electrodes

Performing Behavioral Tasks in Subjects with Intracranial Electrodes

Published on: October 2, 2014

Area of Science:

Neuroscience
Human-Computer Interaction
Cognitive Science

Background:

User state changes (fatigue, boredom) negatively impact performance and Brain-Computer Interface (BCI) technologies.
Current BCIs are limited by user state variability, restricting their use to short, stable performance periods.

Purpose of the Study:

To explore extending a method for continuous behavioral performance estimation from neural activity.
To evaluate this method in simulated driving and a BCI-relevant perceptual discrimination task.

Main Methods:

Utilized electroencephalography (EEG) log power spectra and sequential forward floating selection (SFFS).
Applied the method to estimate behavioral changes in simulated driving and perceptual tasks.

Main Results:

For simulated driving, the correlation between actual and estimated lane deviation was 0.37 ± 0.22.
For the perceptual task, correlations for accuracy, reaction time, and button press duration were 0.25 ± 0.37, 0.33 ± 0.23, and 0.36 ± 0.30, respectively.
Demonstrated potential for modeling time-on-task performance decrements using neural activity.

Conclusions:

Continuous neural activity can be used to estimate behavioral performance.
This passive BCI approach shows promise for adapting systems to user state, potentially enhancing overall performance and extending BCI application duration.