![]() ![]() First, MVPANI has a GUI and is, thus, more friendly for non-programmers. Compared with other existing software packages, MVPANI has several advantages. Therefore, we developed a GUI-based toolkit for MVPA of neuroimaging data: MVPANI (MVPA for Neuroimaging). Moreover, lacking a graphical user interface (GUI) also hinders the standardization of the application of MVPA in neuroimaging studies and, consequently, the replication of previous studies or comparisons of results between different studies. As most of these software packages are based on command lines, researchers are required to learn how to program, which has greatly limited the use of MVPA for researchers without programming skills. Several software packages have been developed to facilitate its application in neuroimaging studies. With the rapid development of machine learning techniques, multivariate pattern analysis (MVPA) is becoming increasingly popular in the field of neuroimaging data analysis. 3Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China.2Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, China.1School of Medical Imaging, Tianjin Medical University, Tianjin, China. ![]() Yanmin Peng 1,2, Xi Zhang 1,2, Yifan Li 1,2, Qian Su 1,2, Sijia Wang 1,2, Feng Liu 2,3, Chunshui Yu 1,2,3 and Meng Liang 1,2*
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