![]() For resting-state fNIRS analysis, functional connectivity analysis, graph theory-based network analysis, and amplitude of low-frequency fluctuations analysis are provided. 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. However, the existing analysis toolboxes mainly focus on task activation analysis, few software packages can assist resting-state fNIRS studies.Īim: We aimed to provide a versatile and easy-to-use toolbox to perform analysis for both resting state and task fNIRS.Īpproach: We developed a MATLAB toolbox called NIRS-KIT that works for both resting-state analysis and task activation detection. Significance: Functional near-infrared spectroscopy (fNIRS) has been widely used to probe human brain function during task state and resting state. 5.2 Data Previewing and Quality Control.4.6.2 Connectivity matrix visualization.4.2 Data Previewing and Quality Control.4.1.3 Preparation for spatial information in standard brain space. ![]() ![]() ![]() 4.1.2 Preparation of topospatial information (probe setup).4.1.1 Preparation of temporal signals (hemoglobin concentrations). ![]()
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January 2023
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