# MVPANI

**Repository Path**: pymnn/MVPANI

## Basic Information

- **Project Name**: MVPANI
- **Description**: MVPANI: A Toolkit With Friendly Graphical User Interface for Multivariate Pattern Analysis of Neuroimaging Data
- **Primary Language**: Matlab
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-12-24
- **Last Updated**: 2025-11-27

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# MVPANI
MVPANI: A Toolkit With Friendly Graphical User Interface for Multivariate Pattern Analysis of Neuroimaging Data

# Environmental Requirements

(1) Runs under Windows Operating System (Windows 7 and above).

(2) Runs under MATLAB 2015b and above.

(3) The [SPM package](https://www.fil.ion.ucl.ac.uk/spm/) needs to be installed in MATLAB.

# Getting started
Once MVPANI has been downloaded to your computer, use SetPath in MATLAB to add the entire MVPANIV1.0 folder to the path list as follows:

(1) Unzip MVPANIV to a directory on your disk, assuming the directory is: `F:\MVPA\MVPANI_V1.0` after unzipping;

(2) Open MATLAB, `HOME` → `SetPath`;

(3) Click `Add with Subfolders` and select the MVPANIV1.0 folder (i.e. `F:\MVPA\MVPANI_V1.0`);

(4) Click `Save`.

(5) Enter `MVPANI` in the MATLAB Command Window to launch the main interface of MVPANI

![image](https://user-images.githubusercontent.com/96582833/147314503-34cab316-8f61-4cae-82a4-73bd582733e5.png)

All the documentation is in mannual [(view in github](https://github.com/pymnn/MVPANI/tree/main/mannual) or [view in gitee)](https://gitee.com/pymnn/MVPANI/tree/main/mannual).

# Credits

Copyright(c) 2019~2025 
Tianjin Key Lab of Functional Imaging, Tianjin Medical University, China
1 Guangdong Road, Hexi District, Tianjin, China 300203

[More information about us](http://funi.tmu.edu.cn)


If you think MVPANI is useful for your work, please cite the following paper in your work:

[Peng Y, Zhang X, Li Y, Su Q, Wang S, Liu F, Yu C, Liang M. MVPANI: A Toolkit With Friendly Graphical User Interface for Multivariate Pattern Analysis of Neuroimaging Data. Front.Neurosci.](https://www.frontiersin.org/articles/10.3389/fnins.2020.00545/full)

Reference:

`
Peng Y, Zhang X, Li Y, Su Q, Wang S, Liu F, Yu C, Liang M. MVPANI: A Toolkit With Friendly Graphical User Interface for Multivariate Pattern Analysis of Neuroimaging Data. Front Neurosci. 2020 Jul 8;14:545. doi: 10.3389/fnins.2020.00545. PMID: 32742251; PMCID: PMC7364177.
`