Xu Kaibin, Liu Yong, Zhan Yafeng, Ren Jiaji, Jiang Tianzi
Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Front Neuroinform. 2018 Sep 3;12:52. doi: 10.3389/fninf.2018.00052. eCollection 2018.
Data processing toolboxes for resting-state functional MRI (rs-fMRI) have provided us with a variety of functions and user friendly graphic user interfaces (GUIs). However, many toolboxes only cover a certain range of functions, and use exclusively designed GUIs. To facilitate data processing and alleviate the burden of manually drawing GUIs, we have developed a versatile and extendable MATLAB-based toolbox, BRANT (BRAinNetome fmri Toolkit), with a wide range of rs-fMRI data processing functions and code-generated GUIs. During the implementation, we have also empowered the toolbox with parallel computing techniques, efficient file handling methods for compressed file format, and one-line scripting. In BRANT, users can find rs-fMRI batch processing functions for preprocessing, brain spontaneous activity analysis, functional connectivity analysis, complex network analysis, statistical analysis, and results visualization, while developers can quickly publish scripts with code-generated GUIs.
静息态功能磁共振成像（rs-fMRI）的数据处理工具箱为我们提供了各种功能以及用户友好的图形用户界面（GUI）。然而，许多工具箱仅涵盖一定范围的功能，并且使用专门设计的GUI。为了便于数据处理并减轻手动绘制GUI的负担，我们开发了一个通用且可扩展的基于MATLAB的工具箱BRANT（脑网络组fMRI工具包），它具有广泛的rs-fMRI数据处理功能和代码生成的GUI。在实现过程中，我们还为该工具箱赋予了并行计算技术、针对压缩文件格式的高效文件处理方法以及单行脚本功能。在BRANT中，用户可以找到用于预处理、脑自发活动分析、功能连接分析、复杂网络分析、统计分析和结果可视化的rs-fMRI批处理功能，而开发者可以通过代码生成的GUI快速发布脚本。
