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Related Experiment Video

Updated: Apr 26, 2026

Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels

Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels

Published on: October 20, 2023

Decoding vigilance with NIRS.

Carsten Bogler¹, Jan Mehnert², Jens Steinbrink³

¹Bernstein Center for Computational Neuroscience Berlin and Charité - Universitätsmedizin Berlin, Berlin, Germany; Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Department of Neurology, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.

|July 18, 2014

Summary

This summary is machine-generated.

Near-Infrared Spectroscopy (NIRS) can monitor brain activity to detect low vigilance. This non-invasive technique shows promise for real-world applications, potentially enhancing safety in demanding tasks.

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Last Updated: Apr 26, 2026

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Published on: October 20, 2023

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fMRI Validation of fNIRS Measurements During a Naturalistic Task

fMRI Validation of fNIRS Measurements During a Naturalistic Task

Published on: June 15, 2015

Area of Science:

Neuroscience
Cognitive Science
Biomedical Engineering

Background:

Sustained cognitive workload can impair performance and vigilance, posing risks in critical tasks.
Functional MRI (fMRI) shows correlations between brain activity (BOLD signals) and attention, particularly in prefrontal and parietal regions.
fMRI's lack of mobility limits its use for real-time monitoring in real-world settings.

Purpose of the Study:

To investigate the feasibility of using Near-Infrared Spectroscopy (NIRS) for monitoring vigilance in real-world scenarios.
To determine if NIRS-measured hemodynamic signals correlate with cognitive workload and performance decrements.
To assess the potential of NIRS for detecting low vigilance states to prevent accidents.

Main Methods:

Utilized Near-Infrared Spectroscopy (NIRS), a mobile brain imaging technique measuring cortical hemodynamics.
Collected NIRS data from subjects undergoing cognitive tasks with varying workload levels.
Correlated NIRS signals with performance metrics, specifically reaction times at a single-trial level.

Main Results:

Demonstrated a significant correlation between non-invasive NIRS signals and vigilance levels.
Showed that NIRS signals contain sufficient information to decode subjects' reaction times accurately.
Confirmed the potential of NIRS for real-time, mobile monitoring of cognitive states.

Conclusions:

NIRS is a viable, mobile alternative to fMRI for monitoring brain activity related to vigilance.
NIRS-based vigilance monitoring could be implemented in real-world environments to enhance safety.
This technology offers a promising approach for early detection of performance decrements due to cognitive fatigue.