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

Light on broken networks: Resting-state fNIRS as a tool for connectivity mapping.

NeuroImage·2026
Same author

Short-term audio-tactile training affects cortical auditory speech-envelope tracking for incongruent but not congruent stimuli.

NeuroImage·2026
Same author

Using a functional near-infrared spectroscopy-guided brain-computer interface to facilitate observational imitation after stroke.

Annals of physical and rehabilitation medicine·2026
Same author

Using functional MRI neurofeedback to modulate self-blame in major depressive disorder: A pilot study.

NeuroImage. Clinical·2026
Same author

Exploring fNIRS-guided neurofeedback for supplementary motor area training in Parkinson's disease and healthy older adults.

NPJ Parkinson's disease·2026
Same author

Principles of gamma synchrony predict figure-ground perception in texture stimuli.

eLife·2026

Related Experiment Video

Updated: Dec 22, 2025

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
04:44

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Published on: July 21, 2021

4.8K

Brain-Based Binary Communication Using Spatiotemporal Features of fNIRS Responses.

Laurien Nagels-Coune1,2,3, Amaia Benitez-Andonegui1,2, Niels Reuter4,5

  • 1Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands.

Frontiers in Human Neuroscience
|May 1, 2020
PubMed
Summary

This study presents a novel functional near-infrared spectroscopy (fNIRS) brain-computer interface for locked-in individuals, using mental tasks for yes/no communication. Some participants achieved 100% accuracy, showing potential for motor-independent communication.

Keywords:
binary communicationbrain computer interfacefunctional near infrared spectroscopy (fNIRS)mental drawingmental imagerymotor imageryspatial navigationyes/no decoding

More Related Videos

Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis
05:59

Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis

Published on: October 6, 2023

3.1K
fMRI Validation of fNIRS Measurements During a Naturalistic Task
10:36

fMRI Validation of fNIRS Measurements During a Naturalistic Task

Published on: June 15, 2015

21.4K

Related Experiment Videos

Last Updated: Dec 22, 2025

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
04:44

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Published on: July 21, 2021

4.8K
Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis
05:59

Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis

Published on: October 6, 2023

3.1K
fMRI Validation of fNIRS Measurements During a Naturalistic Task
10:36

fMRI Validation of fNIRS Measurements During a Naturalistic Task

Published on: June 15, 2015

21.4K

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Rehabilitation Technology

Background:

  • Motor system dysfunction, as seen in
  • locked-in
  • syndrome, severely impairs natural communication.
  • Brain-computer interfaces (BCIs) offer a promising avenue for restoring communication by bypassing motor pathways.
  • Efficient and user-friendly BCIs are crucial for clinical applications.

Purpose of the Study:

  • To introduce and evaluate a novel functional near-infrared spectroscopy (fNIRS)-based binary communication paradigm.
  • To assess the efficacy of combining spatial and temporal fNIRS signal features for decoding user responses.
  • To explore the potential of using solely spatial fNIRS features for communication.

Main Methods:

  • Developed an fNIRS-based binary communication system using nine optodes and two distinct mental imagery tasks (mental drawing for "yes", spatial navigation for "no").
  • Participants responded to yes/no questions by performing cued mental tasks within specific time windows.
  • Decoded answers in simulated real-time using general linear model analysis and multivariate pattern analysis (MVPA).

Main Results:

  • Average decoding accuracy reached 66.67% (HbO) and 58.33% (HbR) across all trials.
  • Half of the participants achieved accuracies of 83.33% or higher, with four reaching 100% accuracy.
  • MVPA analysis combining spatial features and majority voting achieved 75% accuracy.
  • Questionnaire scores correlated with raw signal-to-noise ratio, indicating potential for data quality prediction.

Conclusions:

  • The developed fNIRS-based binary communication paradigm demonstrates potential for enabling motor-independent communication in individuals with severe motor impairments.
  • Combining spatiotemporal fNIRS signal features or utilizing spatial features alone can effectively encode binary answers.
  • Further research is warranted to enhance decoding accuracy and optimize the system for clinical use.