Significance We developed a MATLAB-based toolbox for the analysis of inter-brain synchrony (IBS) and performed an experimental study to confirm its performance. To the best of our knowledge, this is the first toolbox for IBS based on functional near-infrared spectroscopy (fNIRS) hyperscanning data that visually shows the results on two three-dimensional (3D) head models. Aim Research on IBS using fNIRS hyperscanning is a nascent but expanding field. Although various analysis toolboxes for fNIRS exist, none can show inter-brain neuronal synchrony on a 3D head model. In 2019 and 2020, we released two MATLAB toolboxes named OptoNet I and II, which have helped researchers to analyze functional brain networks using fNIRS. We developed a MATLAB-based toolbox named HyperOptoNet to overcome the limitation of the previous OptoNet series. Approach The developed HyperOptoNet can easily analyze inter-brain cortical connectivity using fNIRS hyperscanning signals simultaneously measured from two people at the same time. The connectivity results can be easily recognized by representing inter-brain neuronal synchrony with colored lines that are visually expressed on two standard head models. Results To evaluate the performance of the developed toolbox, we conducted an fNIRS hyperscanning study of 32 healthy adults. The fNIRS hyperscanning data were measured while the subjects performed traditional, paper-and-pencil-based, cognitive tasks or interactive, computer-assisted, cognitive tasks (ICT). The results visualized different inter-brain synchronization patterns according to the interactive nature of the given tasks; a more extensive inter-brain network was seen with the ICT. Conclusions The developed toolbox has good performance of IBS analysis and helps even unskilled researchers to easily analyze fNIRS hyperscanning data.

中文翻译：

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HyperOptoNet：基于 MATLAB 的工具箱，用于使用 fNIRS 超扫描进行脑间神经元同步分析。

意义 我们开发了一个基于 MATLAB 的工具箱，用于分析大脑间同步 (IBS)，并进行了一项实验研究以确认其性能。据我们所知，这是第一个基于功能性近红外光谱 (fNIRS) 超扫描数据的 IBS 工具箱，可以直观地显示两个三维 (3D) 头部模型的结果。使用 fNIRS 超扫描的 IBS 研究是一个新兴但正在扩展的领域。尽管存在各种 fNIRS 分析工具箱，但没有一个可以在 3D 头部模型上显示大脑间神经元同步。在 2019 年和 2020 年，我们发布了两个名为 OptoNet I 和 II 的 MATLAB 工具箱，帮助研究人员使用 fNIRS 分析功能性大脑网络。我们开发了一个名为 HyperOptoNet 的基于 MATLAB 的工具箱，以克服以前 OptoNet 系列的局限性。方法 开发的 HyperOptoNet 可以使用同时从两个人同时测量的 fNIRS 超扫描信号轻松分析大脑皮层间的连接。通过用在两个标准头部模型上直观表达的彩色线条表示大脑间神经元同步，可以轻松识别连接结果。结果 为了评估开发工具箱的性能，我们对 32 名健康成年人进行了 fNIRS 超扫描研究。fNIRS 超扫描数据是在受试者执行传统的、基于纸笔的认知任务或交互式、计算机辅助的认知任务 (ICT) 时测量的。根据给定任务的交互性质，结果可视化了不同的大脑间同步模式；使用 ICT 可以看到更广泛的大脑间网络。