the pure fMRI data can't give you any information and feedback, so data mining is a necessary and significant step for getting some functional information. But when I start to analysis my first batch of fMRI data, it does has a lot of software and scripts on the Internet,  unfortunately, first, the source code is extremely messed. Second,  the script is written by variate of computer programming, it hardly connects all code together. Third, according to prior research, if you set up different parameter in the same software, it also will cause get a different result and make the result unstable. what's worse, if you combine all kind of software or scripts together. \cite{Eklund_2015,Pauli_2016,Della_Maggiore_2002}. Fourth, the main computer programming is Matlab in the MRI data analysis now, but with the boost of machine learning and deep learning,  in addition,  Python is a totally open-source computer language.  Compared Matlab, the huge community contribute the Python, what's more, the Python has already formed a complete system in the fMRI data analysis.  Finally, Compared others computer programming, the Python script is an interpretable and dynamic programming language, the source code is more simple and understandable.

My Goal:

With the advent of online neuroimaging databases, people can mine more messages from it. This is especially important for students at smaller colleges and universities without an MRI scanner. My goal is to make neuroimaging analysis understandable and accessible for anyone whose are interested in neuroscience and neuroimaging. Above all, I aim to make fMRI analysis more precise and united.