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Updated: Nov 19, 2025

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NIRS-KIT: a MATLAB toolbox for both resting-state and task fNIRS data analysis.

Xin Hou1, Zong Zhang1, Chen Zhao1

  • 1Beijing Normal University, IDG/McGovern Institute for Brain Research, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing, China.

Neurophotonics
|January 28, 2021
PubMed
Summary
This summary is machine-generated.

NIRS-KIT is a new MATLAB toolbox for analyzing functional near-infrared spectroscopy (fNIRS) data. It supports both resting-state and task-based analyses, offering a comprehensive solution for researchers.

Keywords:
data analysisfunctional near-infrared spectroscopynear-infrared spectroscopy-KITresting-statetask activationtoolbox

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Signal Processing

Background:

  • Functional near-infrared spectroscopy (fNIRS) is a key neuroimaging technique.
  • Existing fNIRS analysis tools often lack comprehensive support for resting-state studies.
  • A unified, user-friendly toolbox is needed for both resting-state and task-based fNIRS analysis.

Purpose of the Study:

  • To develop a versatile and easy-to-use MATLAB toolbox for comprehensive fNIRS data analysis.
  • To address the limitations of existing software in handling resting-state fNIRS data.
  • To provide a single suite for both resting-state and task activation analyses.

Main Methods:

  • Development of NIRS-KIT, a MATLAB-based toolbox.
  • Implementation of data preparation, quality control, and preprocessing pipelines.
  • Inclusion of individual-level and group-level statistical analyses with multiple comparison corrections.
  • Integration of resting-state analyses (functional connectivity, graph theory, LFF) and task activation analysis.
  • Support for multiple fNIRS recording systems and data formats.

Main Results:

  • NIRS-KIT provides a complete workflow for fNIRS data analysis.
  • The toolbox supports diverse analytical approaches for both resting-state and task paradigms.
  • Features include batch processing, user-friendly GUIs, and advanced visualization tools.
  • NIRS-KIT demonstrates compatibility with major fNIRS data formats and systems.

Conclusions:

  • NIRS-KIT is an open-source, versatile tool for analyzing resting-state and task fNIRS data.
  • Its key features include broad compatibility, flexibility, ease of use, and robust visualization.
  • The toolbox is expected to significantly advance fNIRS research by facilitating data analysis.
  • NIRS-KIT offers a unified platform, streamlining complex fNIRS data processing for researchers.