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BRANT: A Versatile and Extendable Resting-State fMRI Toolkit.

Kaibin Xu^1,2,3,4, Yong Liu^1,2,5,6, Yafeng Zhan^1,7

¹Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China.

Frontiers in Neuroinformatics

|September 21, 2018

Summary

This summary is machine-generated.

We developed BRANT, a versatile MATLAB toolbox for resting-state functional MRI (rs-fMRI) data processing. BRANT offers comprehensive functions and code-generated GUIs, simplifying complex analyses for researchers.

Keywords:

BRANT code-generated GUI preprocessing resting-state fMRI visualization

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Area of Science:

Neuroimaging
Computational Neuroscience
Data Science

Background:

Existing resting-state functional MRI (rs-fMRI) toolboxes offer limited functions and rigid graphical user interfaces (GUIs).
This necessitates manual GUI development and restricts comprehensive rs-fMRI data analysis.
A unified, flexible platform is needed to streamline rs-fMRI processing.

Purpose of the Study:

To develop a versatile and extendable MATLAB-based toolbox for comprehensive rs-fMRI data processing.
To facilitate data analysis and reduce the manual effort in creating graphical user interfaces (GUIs).
To empower researchers with efficient tools for various stages of rs-fMRI analysis.

Main Methods:

Developed BRANT (BRAinNetome fmri Toolkit), a MATLAB toolbox integrating diverse rs-fMRI processing functions.
Implemented code-generated GUIs for ease of use and rapid script publishing by developers.
Incorporated parallel computing, efficient compressed file handling, and one-line scripting for optimized performance.

Main Results:

BRANT provides batch processing capabilities for rs-fMRI preprocessing, spontaneous activity analysis, and functional connectivity analysis.
The toolbox supports complex network analysis, statistical analysis, and results visualization.
Developers can quickly create and share analysis scripts with integrated GUIs.

Conclusions:

BRANT offers a versatile and extendable solution for rs-fMRI data processing, addressing limitations of existing toolboxes.
The integrated functions and code-generated GUIs simplify complex analyses and accelerate research.
BRANT enhances efficiency and accessibility for both rs-fMRI users and developers.