Significance: Functional near-infrared spectroscopy (fNIRS) has been widely used to probe human brain function during task state and resting state. However, the existing analysis toolboxes mainly focus on task activation analysis, few software packages can assist resting-state fNIRS studies. Aim: We aimed to provide a versatile and easy-to-use toolbox to perform analysis for both resting state and task fNIRS. Approach: We developed a MATLAB toolbox called NIRS-KIT that works for both resting-state analysis and task activation detection. Results: NIRS-KIT implements common and necessary processing steps for performing fNIRS data analysis, including data preparation, quality control, preprocessing, individual-level analysis, group-level statistics with several popular statistical models, and multiple comparison correction methods, and finally results visualization. For resting-state fNIRS analysis, functional connectivity analysis, graph theory-based network analysis, and amplitude of low-frequency fluctuations analysis are provided. Additionally, NIRS-KIT also supports activation analysis for task fNIRS. Conclusions: NIRS-KIT offers an open source tool for researchers to analyze resting-state and/or task fNIRS data in one suite. It contains several key features: (1) good compatibility, supporting multiple fNIRS recording systems, data formats of NIRS-SPM and Homer2, and the shared near-infrared spectroscopy format data format recommended by the fNIRS society; (2) flexibility, supporting customized preprocessing scripts; (3) ease-to-use, allowing processing fNIRS signals in batch manner with user-friendly graphical user interfaces; and (4) feature-packed data viewing and result visualization. We anticipate that this NIRS-KIT will facilitate the development of the fNIRS field.

中文翻译：

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NIRS-KIT：用于静息状态和任务 fNIRS 数据分析的 MATLAB 工具箱


意义：功能近红外光谱（fNIRS）已被广泛用于探测任务状态和静息状态下的人类大脑功能。然而，现有的分析工具箱主要集中于任务激活分析，很少有软件包可以辅助静息态 fNIRS 研究。目标：我们的目标是提供一个多功能且易于使用的工具箱来对静息状态和任务 fNIRS 进行分析。方法：我们开发了一个名为 NIRS-KIT 的 MATLAB 工具箱，适用于静息状态分析和任务激活检测。结果：NIRS-KIT实现了进行fNIRS数据分析的常见且必要的处理步骤，包括数据准备、质量控制、预处理、个体水平分析、使用几种流行统计模型的群体水平统计以及多重比较校正方法，最后得出结果可视化。对于静息态 fNIRS 分析，提供功能连接分析、基于图论的网络分析和低频波动幅度分析。此外，NIRS-KIT 还支持任务 fNIRS 的激活分析。结论：NIRS-KIT 为研究人员提供了一种开源工具，可以在一套套件中分析静息状态和/或任务 fNIRS 数据。它包含几个关键特性：（1）兼容性好，支持多种fNIRS记录系统、NIRS-SPM和Homer2的数据格式以及fNIRS学会推荐的共享近红外光谱格式数据格式； (2)灵活性，支持定制预处理脚本； (3) 易于使用，允许通过用户友好的图形用户界面批量处理 fNIRS 信号； (4) 功能丰富的数据查看和结果可视化。 我们预计该 NIRS-KIT 将促进 fNIRS 领域的发展。