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

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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 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, HOMESetPath;

(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

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All the documentation is in mannual (view in github or view in gitee).

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

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.

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.

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

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