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Related Experiment Video

Updated: Nov 25, 2025

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

Transcranial brain atlas-based optimization for functional near-infrared spectroscopy optode arrangement: Theory,

Yang Zhao¹, Xiang Xiao^1,2, Yi-Han Jiang¹

¹State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.

Human Brain Mapping

|December 17, 2020

Summary

This summary is machine-generated.

This study introduces a novel mathematical framework and algorithm for optimizing functional near-infrared spectroscopy (fNIRS) optode placement using transcranial brain atlases (TBAs). The new method offers more accurate and consistent fNIRS group imaging compared to traditional approaches.

Keywords:

fNIRS functional near-infrared spectroscopy navigation optode arrangement optode montage design optode placement topography transcranial brain atlas

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Last Updated: Nov 25, 2025

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

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Published on: October 20, 2023

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Published on: June 15, 2015

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

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Published on: October 6, 2023

Area of Science:

Neuroimaging
Biomedical Engineering
Cognitive Neuroscience

Background:

Accurate optode arrangement is vital for functional near-infrared spectroscopy (fNIRS) group studies.
Transcranial brain atlases (TBAs) have been used manually for optode guidance, but lack a clear theoretical basis, leading to subjective application.
Individual structural MRI data is often unavailable, necessitating alternative methods for precise optode placement.

Purpose of the Study:

To establish a theoretical foundation for TBA-based optode arrangement optimization using a mathematical framework.
To develop and validate an algorithm for automated optode arrangement on a virtual scalp.
To compare the proposed method's performance against the standard 10/20 system for fNIRS group imaging.

Main Methods:

Developed a mathematical framework to define the theoretical basis for TBA-guided optode arrangement.
Created an algorithm for automatic optode placement on a virtual scalp.
Utilized a portable navigation system to transfer the virtual montage to participants' heads and compared with the 10/20 system using finger-tapping and working memory tasks.

Main Results:

The proposed TBA-based algorithm demonstrated superior performance in optode montage design and scalp placement accuracy compared to the 10/20 system.
fNIRS brain activation analysis showed more accurate and consistent results with the new method.
Ground truth indices derived from individual MRI data supported the enhanced accuracy and efficiency of the TBA-guided approach.

Conclusions:

The developed mathematical framework and algorithm provide a robust, objective, and efficient method for optode arrangement in fNIRS group studies.
This approach significantly improves the accuracy and consistency of fNIRS neuroimaging, especially when individual MRI data is unavailable.
The findings suggest a paradigm shift from subjective to data-driven optode placement for enhanced reliability in cognitive neuroscience research.