Hou Xin, Zhang Zong, Zhao Chen, Duan Lian, Gong Yilong, Li Zheng, Zhu Chaozhe
Beijing Normal University, IDG/McGovern Institute for Brain Research, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing, China.
Beijing Normal University at Zhuhai, Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Zhuhai, China.
Neurophotonics. 2021 Jan;8(1):010802. doi: 10.1117/1.NPh.8.1.010802. Epub 2021 Jan 25.
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. We aimed to provide a versatile and easy-to-use toolbox to perform analysis for both resting state and task fNIRS. We developed a MATLAB toolbox called NIRS-KIT that works for both resting-state analysis and task activation detection. 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. 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.
功能近红外光谱技术（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侧重于任务激活分析，很少有软件包能辅助静息态fNIRS研究。我们旨在提供一个多功能且易于使用的工具箱，用于对静息态和任务态fNIRS进行分析。我们开发了一个名为NIRS-KIT的MATLAB工具箱，它适用于静息态分析和任务激活检测。NIRS-KIT实现了执行fNIRS数据分析所需的常见处理步骤，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组水平统计以及多重比较校正方法，最后进行结果可视化。对于静息态fNIRS分析，提供了功能连接性分析、基于图论的网络分析和低频波动幅度分析。此外，NIRS-KIT还支持任务态fNIRS的激活分析。NIRS-KIT为研究人员提供了一个开源工具，以便在一个套件中分析静息态和/或任务态fNIRS数据。它具有几个关键特性：（1）良好的兼容性，支持多种fNIRS记录系统、NIRS-SPM和Homer2的数据格式以及fNIRS协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以批处理方式处理fNIRS信号；以及（4）功能丰富的数据查看和结果可视化。我们预计这个NIRS-KIT将促进fNIRS领域的发展。
