BRANT: A Versatile and Extendable Resting-State fMRI Toolkit

Data processing toolboxes for resting-state functional MRI (rs-fMRI) have provided us with a variety of functions and user friendly graphic user interfaces (GUIs). However, many toolboxes only cover a certain range of functions, and use exclusively designed GUIs. To facilitate data processing and al...

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Bibliographic Details
Published inFrontiers in neuroinformatics Vol. 12; p. 52
Main Authors Xu, Kaibin, Liu, Yong, Zhan, Yafeng, Ren, Jiaji, Jiang, Tianzi
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Research Foundation 03.09.2018
Frontiers Media S.A
Subjects
Automation
Brain mapping
BRANT
code-generated GUI
Data analysis
Data processing
Functional magnetic resonance imaging
Interfaces
Laboratories
Medical imaging
Neural networks
Neuroscience
preprocessing
resting-state fMRI
Science
Software packages
Statistical analysis
Time series
Visualization
Beijing China
China
visualization
code-generated GUI
resting-state fMRI
preprocessing
BRANT
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Summary:Data processing toolboxes for resting-state functional MRI (rs-fMRI) have provided us with a variety of functions and user friendly graphic user interfaces (GUIs). However, many toolboxes only cover a certain range of functions, and use exclusively designed GUIs. To facilitate data processing and alleviate the burden of manually drawing GUIs, we have developed a versatile and extendable MATLAB-based toolbox, BRANT (BRAinNetome fmri Toolkit), with a wide range of rs-fMRI data processing functions and code-generated GUIs. During the implementation, we have also empowered the toolbox with parallel computing techniques, efficient file handling methods for compressed file format, and one-line scripting. In BRANT, users can find rs-fMRI batch processing functions for preprocessing, brain spontaneous activity analysis, functional connectivity analysis, complex network analysis, statistical analysis, and results visualization, while developers can quickly publish scripts with code-generated GUIs.
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Reviewed by: Jiaojian Wang, University of Pennsylvania, United States; Ye Tian, University of Melbourne, Australia; Feng Shi, Cedars-Sinai Medical Center, United States
Edited by: Pedro Antonio Valdes-Sosa, Clinical Hospital of Chengdu Brain Science Institute, China
ISSN:1662-5196
1662-5196
DOI:10.3389/fninf.2018.00052