Dong Li, Luo Cheng, Liu Xiaobo, Jiang Sisi, Li Fali, Feng Hongshuo, Li Jianfu, Gong Diankun, Yao Dezhong
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.
School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Front Neuroinform. 2018 Aug 24;12:56. doi: 10.3389/fninf.2018.00056. eCollection 2018.
Recently, scalp electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) multimodal fusion has been pursued in an effort to study human brain function and dysfunction to obtain more comprehensive information on brain activity in which the spatial and temporal resolutions are both satisfactory. However, a more flexible and easy-to-use toolbox for EEG-fMRI multimodal fusion is still lacking. In this study, we therefore developed a freely available and open-source MATLAB graphical user interface toolbox, known as the Neuroscience Information Toolbox (NIT), for EEG-fMRI multimodal fusion analysis. The NIT consists of three modules: (1) the fMRI module, which has batch fMRI preprocessing, nuisance signal removal, bandpass filtering, and calculation of resting-state measures; (2) the EEG module, which includes artifact removal, extracting EEG features (event onset, power, and amplitude), and marking interesting events; and (3) the fusion module, in which fMRI-informed EEG analysis and EEG-informed fMRI analysis are included. The NIT was designed to provide a convenient and easy-to-use toolbox for researchers, especially for novice users. The NIT can be downloaded for free at http://www.neuro.uestc.edu.cn/NIT.html, and detailed information, including the introduction of NIT, user's manual and example data sets, can also be observed on this website. We hope that the NIT is a promising toolbox for exploring brain information in various EEG and fMRI studies.
最近，人们一直在探索头皮脑电图（EEG）和功能磁共振成像（fMRI）的多模态融合，以研究人类大脑的功能和功能障碍，从而获得关于大脑活动的更全面信息，其中空间和时间分辨率都令人满意。然而，仍然缺乏一个更灵活、易于使用的EEG-fMRI多模态融合工具箱。因此，在本研究中，我们开发了一个免费的开源MATLAB图形用户界面工具箱，称为神经科学信息工具箱（NIT），用于EEG-fMRI多模态融合分析。NIT由三个模块组成：（1）fMRI模块，具有批量fMRI预处理、干扰信号去除、带通滤波和静息状态测量计算；（2）EEG模块，包括伪迹去除、提取EEG特征（事件起始、功率和幅度）以及标记感兴趣的事件；（3）融合模块，包括fMRI引导的EEG分析和EEG引导的fMRI分析。NIT旨在为研究人员，特别是新手用户提供一个方便且易于使用的工具箱。NIT可在http://www.neuro.uestc.edu.cn/NIT.html上免费下载，该网站上还可以查看详细信息，包括NIT介绍、用户手册和示例数据集。我们希望NIT是一个在各种EEG和fMRI研究中探索大脑信息的有前途的工具箱。
